Literature DB >> 35413054

Patient-level interventions to reduce alcohol-related harms in low- and middle-income countries: A systematic review and meta-summary.

Catherine A Staton1,2,3, João Ricardo Nickenig Vissoci1,2,3, Deena El-Gabri2, Konyinsope Adewumi2, Tessa Concepcion2, Shannon A Elliott2, Daniel R Evans2, Sophie W Galson1,2, Charles T Pate2, Lindy M Reynolds2, Nadine A Sanchez2, Alexandra E Sutton2,4, Charlotte Yuan2, Alena Pauley2, Luciano Andrade3, Megan Von Isenberg5, Jinny J Ye1, Charles J Gerardo1,2.   

Abstract

BACKGROUND: Disease and disability from alcohol use disproportionately impact people in low- and middle-income countries (LMICs). While varied interventions have been shown to reduce alcohol use in high-income countries, their efficacy in LMICs has not been assessed. This systematic review describes current published literature on patient-level alcohol interventions in LMICs and specifically describes clinical trials evaluating interventions to reduce alcohol use in LMICs. METHODS AND
FINDINGS: In accordance with PRISMA, we performed a systematic review using an electronic search strategy from January 1, 1995 to December 1, 2020. Title, abstract, as well as full-text screening and extraction were performed in duplicate. A meta-summary was performed on randomized controlled trials (RCTs) that evaluated alcohol-related outcomes. We searched the following electronic databases: PubMed, EMBASE, Scopus, Web of Science, Cochrane, WHO Global Health Library, and PsycINFO. Articles that evaluated patient-level interventions targeting alcohol use and alcohol-related harm in LMICs were eligible for inclusion. No studies were excluded based on language. After screening 5,036 articles, 117 articles fit our inclusion criteria, 75 of which were RCTs. Of these RCTs, 93% were performed in 13 middle-income countries, while 7% were from 2 low-income countries. These RCTs evaluated brief interventions (24, defined as any intervention ranging from advice to counseling, lasting less than 1 hour per session up to 4 sessions), psychotherapy or counseling (15, defined as an interaction with a counselor longer than a brief intervention or that included a psychotherapeutic component), health promotion and education (20, defined as an intervention encouraged individuals' agency of taking care of their health), or biologic treatments (19, defined as interventions where the biological function of alcohol use disorder (AUD) as the main nexus of intervention) with 3 mixing categories of intervention types. Due to high heterogeneity of intervention types, outcome measures, and follow-up times, we did not conduct meta-analysis to compare and contrast studies, but created a meta-summary of all 75 RCT studies. The most commonly evaluated intervention with the most consistent positive effect was a brief intervention; similarly, motivational interviewing (MI) techniques were most commonly utilized among the diverse array of interventions evaluated.
CONCLUSIONS: Our review demonstrated numerous patient-level interventions that have the potential to be effective in LMICs, but further research to standardize interventions, populations, and outcome measures is necessary to accurately assess their effectiveness. Brief interventions and MI techniques were the most commonly evaluated and had the most consistent positive effect on alcohol-related outcomes. TRIAL REGISTRATION: Protocol Registry: PROSPERO CRD42017055549.

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Mesh:

Year:  2022        PMID: 35413054      PMCID: PMC9004752          DOI: 10.1371/journal.pmed.1003961

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


Introduction

Alcohol use is an important cause of chronic disease and injury. It is one of the top 5 risk factors for death and disability in the world [1-3]. The detrimental effects of alcohol use contribute to 3.3 million deaths and 139 million disability-adjusted life years (DALYs) lost globally each year [4]. Alcohol use has also been associated with risky behaviors, including crime, aggressive driving, interpersonal violence, and self-inflicted injury [5]. Such behaviors not only have harmful effects on the individual but also on the greater population [6]. Compared to high-income countries, low- and middle-income countries (LMICs) report higher rates of risky drinking behaviors, such as binge drinking and episodic drinking, as well as an earlier onset of alcohol consumption [4]. The World Health Organization (WHO) has placed an emphasis on the development and implementation of both policy-level and patient-level interventions to reduce harmful alcohol use in LMICs. While policy-level interventions are a crucial, cost-effective manner of reducing alcohol-related harms, context-appropriate, and effective patient-level interventions are also greatly needed to form multipronged alcohol harm reduction strategies [4]. A broad array of patient-level alcohol harm reduction interventions, such as brief interventions (for this paper, defined as any intervention ranging from advice to counseling, lasting less than 1 hour per session [7] up to 4 sessions [8], psychosocial interventions, and pharmacological treatments) have been found to be effective in high-resource settings [9,10]. Yet, alcohol use disorders (AUDs), characterized by moderate to severe alcohol abuse and dependence, remain a low priority of LMIC health systems [11]. Barriers, such as funding constraints, lack of policy, and low public awareness, often prevent access to psychosocial and pharmacological treatments that target AUDs [11]. Especially in some settings where alcohol use is culturally ingrained, adopting an alcohol harm reduction strategy, as opposed to focusing on abstinence, is crucial given the limited alcohol policy, health system treatments, and social support [12]. As such, WHO and The Lancet have recently issued calls to action to reduce hazardous alcohol use [4,13], yet the full scope of the evidence-based patient-level interventions to reduce harmful alcohol use in LMICs is missing from the literature. While narrative reviews of global alcohol-related harms have been published, we have found no systematic review conducted focusing on alcohol interventions specifically applicable to or evaluated in LMICs [1,11]. In order to address this gap, this paper aims to (1) review and describe the current published literature on patient-level alcohol interventions in LMICs; and (2) conduct a meta-summary of studies evaluating interventions to reduce alcohol use and harms in LMICs.

Methods

Protocol and registration

This systematic review is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement [14] (see S1 Table) and is registered in the PROSPERO database (International Prospective Register of Systematic Reviews) under the number CRD42017055549.

Eligibility criteria

Our primary criterion for article consideration was a patient-level alcohol or alcohol-related harm reduction intervention in a LMIC, as defined by our PICOS framework: LMIC Participants, patient-level Interventions, Compared to a control group, alcohol harm reduction Outcomes, all Study designs but focused on randomized clinical trials if there are enough. To be included, articles had to (1) evaluate a patient-level alcohol-related intervention’s ability to reduce an (2) alcohol-related outcome in a (3) LMIC and be (4) peer-reviewed and published between January 1, 1995 and December 1, 2020. Study locations had to be classified as LMICs according to World Bank criteria at the time of the search [15]. The search strategy was inclusive of multiple study designs (randomized controlled trials [RCTs], prospective/retrospective cohort, quasi-experimental, or secondary data analyses with before and after intervention comparison) in case there was a dearth of literature from LMIC settings. Articles were excluded if they were abstracts only, literature or systematic reviews, meta-analyses, or commentaries. If 2 studies used the same data, then the most recent data were included in the review.

Information sources

We searched electronic databases (PubMed, EMBASE, Scopus, Web of Science, Cochrane, WHO Global Health Library, and PsycINFO) for articles that evaluated patient-level interventions aimed at reducing an alcohol-related outcome in LMICs. No studies were excluded for language. Additionally, we manually searched references and performed a citation analysis of the included articles using Web of Science and Google Scholar. Any citation that met the inclusion criteria based on the title and abstract was added.

Search

The initial search consisted of the MeSH terms “alcohol drinking,” “low or middle income country,” and “intervention.” Search strategy demonstrates the search strategy used in PubMed, Embase, PsycINFO, and WHO Global Health Library databases (S1 Fig).

Study selection

Six pairs of reviewers from the specified individuals (KA, TC, SE, DE, SG, CP, LR, NS, AS, CY, and AP) independently reviewed the titles and abstracts, and any inconsistencies regarding inclusion were resolved by a third reviewer (DG or CS). Abstracts that did not provide enough information to determine eligibility were retrieved for full-text evaluation. Reviewers independently evaluated full-text articles and determined study eligibility. Disagreements were solved by consensus, and if disagreement persisted, a third reviewer’s opinion was sought. After inclusion, we assessed each study for the study design. We reported all study designs in order to summarize the type and quality of study designs in the literature. Based on the large number of RCTs identified, we chose to narrow further analysis to RCTs.

Quality of studies

Since our systematic review included studies of different designs (RCTs, nonrandomized intervention, prospective/retrospective cohort, quasi-experimental, or secondary data/cross-sectional with before and after comparison), we opted to perform a data quality assessment according to study design using the following approaches. STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) indicators were used for reporting observational studies. Two scales were used for nonrandomized studies: the A Cochrane Risk Of Bias Assessment Tool for Non-Randomized Studies (ACROBAT-NRS) [16] and Newcastle–Ottawa scale (NOS) [17]. Cochrane’s revised risk-of-bias tool was used for randomized studies [18]. Finally, the Effective Practice and Organisation of Care (EPOC) suggested risk of bias indicators for interrupted time series studies (EPOC) [19]. We assigned risk of bias (low, moderate, and high risk) as suggested by the Cochrane Handbook [20] by study design. Studies were classified as (a) low risk of bias if all domains had low risk; (b) some concerns if at least 1 domain raised some concerns for bias; and (c) high risk of at least 1 domain was at high risk.

Data extraction

Five pairs of reviewers independently conducted the data extraction, and any disagreements were resolved by a third reviewer. General characteristics of the studies were recorded, such as year of publication, location where the study took place, inclusion and exclusion criteria, and participant characteristics. In addition, information on alcohol-related outcome measures, intervention type, and intervention impact or effectiveness measured as an effect size of outcome measures was extracted. The main outcome measures were Alcohol Use Disorders Identification Test (AUDIT) and Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) scores, Rutgers Alcohol Problem Index (RAPI), number of drinking days, number of heavy drinking days, number of binge drinking days, drinks per drinking day, percent remaining abstinent from drinking alcohol, and percent relapsed back into drinking alcohol.

Data analysis

Initial evaluation of the papers indicated that a meta-analytical approach would result in high heterogeneity due to high methodological variability (e.g., outcome measures, study designs, and sample characteristics). Therefore, we conducted a meta-synthesis for all the included manuscripts, which qualitatively aggregated findings by grouping relevant findings into categories that represent the study’s objectives (e.g., effectiveness of alcohol intervention). No manuscripts were excluded based on quality. The process involved summarizing main results of each included paper and performing a thematic analysis. Emerging themes on types of intervention and outcomes were presented. Interventions were grouped by similarity into 4 types: brief interventions, psychotherapy and counseling, health promotion and education, and biomedical treatments. Using WHO and National Institute on Alcohol Abuse and Alcoholism (NIAAA) descriptions of brief interventions, we defined brief interventions as any intervention ranging from advice to counseling, lasting less than 1 hour per session [7] up to 4 sessions [8] independent of how the original study defined brief intervention. Interventions including a one-on-one interaction with a counselor that lasted longer than a brief intervention or that included a psychotherapeutic component were defined as psychotherapy and counseling. Motivational interviewing (MI) techniques could be included as either a brief intervention or psychotherapy and counseling, depending on how long and over how many sessions the intervention took place. A study was considered health promotion and education, independent of the study’s definition, if an intervention encouraged individuals’ agency of taking care of their health, such as risk reduction skills and health education [21]. Biomedical treatments were used as a taxonomy to group studies that had the biological function of AUD as the main nexus of intervention, including brain stimulation and medicines.

Results

Study selection and description

In total, 5,036 abstracts were reviewed. From those, 500 articles were manually reviewed to identify 117 articles matching our inclusion and exclusion criteria (Fig 1). No studies were excluded based on language. Of these 117 studies, 75 were RCTs (Table 1) utilizing a vast array of interventions, which we categorized into 4 main categories of interventions, including brief interventions (24 studies) (Table 2), psychotherapy or counseling (15) (Table 3), health promotion and education (20) (Table 4), and biological treatments (19) (Table 5). One study by Shin and colleagues had one arm in biomedical treatments and another arm in brief intervention [22]. Two other studies had one arm in psychotherapy or counseling and another arm in health promotion and education [23,24]. These 75 studies were performed in 15 countries, representing 8 upper middle-income countries (60% of studies), 5 lower middle-income countries, and 2 low-income countries (7% of studies) (S2 Fig). The majority of the studies came from Brazil (28%) and India (20%). Alcohol-related outcomes found included alcohol quantity or frequency measure, intention to use alcohol, use/abstinence/remission proportion or frequency, alcohol-related scores, alcohol cravings or cravings per day, or alcohol use during pregnancy or before sex.
Fig 1

Study flow diagram.

Table 1

Characteristics of all randomized controlled studies (75).

AuthorsCountryIntervention typeTargeted populationSample sizeRisk of biasOutcomes measured
Ahmadi and colleagues (2004) [24]IranBiomedical treatmentsSelf-referred, alcohol-dependent males116HighRelapse
Ahmadi and colleagues (2019) [25]IranHealth promotion and educationFemale drug users100HighAlcohol use before sexual intercourse
Aira and colleagues (2013) [26]MongoliaHealth promotion and educationPower plant employees200LowDrinking daysDrinks per day
Altintoprak and colleagues (2008) [27]TurkeyBiomedical treatmentsAUD patient population44LowAlcohol useCraving
Assanangkornchai and colleagues (2015) [28]ThailandBrief interventionPrimary care236LowASSISTConversion to low risk
Babor and colleagues (1996) [29]Australia, Kenya, Mexico, Norway, Wales, Russia, USA, and ZimbabweBrief interventionUsers at risk for dependence in hospital, emergency department, primary care, college, and health screening agency1,559HighAbstinenceFrequencyIntensityHarm (injury, legal problem, and unemployment)Complaint from others
Baldin and colleagues (2018) [30]BrazilBrief interventionNightclub users with drinking problems465LowBinge drinkingLack of control
Baltieri and colleagues (2003) [31]BrazilBiomedical treatmentsAlcohol-dependent males in outpatient treatment75LowAbstinence
Baltieri and colleagues (2008) [32]BrazilBiomedical treatmentsAlcohol-dependent males in outpatient treatment155HighAbstinence/relapseWeeks of heavy consumption
Barbosa Filho and colleagues (2019) [33]BrazilHealth promotion and educationSchool-based adolescents1,085LowAlcohol intake
Bedendo and colleagues (2019) [34]BrazilBrief interventionCollege drinkers4,460Some concernsAUDITAlcohol-related consequencesDrinks per drinking day
Bedendo and colleagues (2019) [35]BrazilBrief InterventionCollege drinkers5,476Some concernsAUDITAlcohol-related consequencesDrinking daysDrinks per drinking days
Boggio and colleagues (2008) [36]BrazilBiomedical treatmentsAlcohol-dependent users in rehabilitation program13LowAlcohol Urge Questionnaire (craving level)
Bolton and colleagues (2014) [37]ThailandHealth promotion and educationSurvivors of imprisonment, torture, and related traumas347LowAlcohol use
Burnhams and colleagues (2015) [38]South AfricaHealth promotion and educationSafety and security employees325LowBinge drinking daysCalling in sick or working with a hangoverCAGE
Chaudhury and colleagues (2016) [39]RwandaHealth promotion and educationFamilies with caregiver HIV293LowAUDIT
Chhabra and colleagues (2010) [40]IndiaHealth promotion and educationTeenage students1,421LowFuture intentions to use
Christoff and colleagues (2015) [41]BrazilBrief interventionCollege students815Some concernsASSIST
Corrêa Filho and colleagues (2013) [42]BrazilBiomedical treatmentsAlcohol-dependent males in outpatient treatment102LowDrinks per dayAbstinenceHeavy drinking days
Cubbins and colleagues (2012) [43]ZimbabweHealth promotion and educationRural communities5,543HighAbstinenceDrinks per drinking dayDrinking daysDrunk days
da Silva and colleagues (2013) [44]BrazilBiomedical treatmentsAlcohol-dependent users in outpatient treatment13LowRelapseOCDSAlcohol Urge Questionnaire
Daengthoen and colleagues (2014) [45]ThailandPsychotherapy or counselingAlcohol-dependent users in inpatient treatment100LowCraving daysAbstinent daysDrinking days
De Sousa and colleagues (2004) [46]IndiaBiomedical treatmentsPrivate hospital adult psychiatric patients100HighAbstinence daysDays until relapseDrinks per drinking dayCraving
De Sousa and colleagues (2005) [47]IndiaBiomedical treatmentsPrivate hospital adult psychiatric patients100HighAbstinence daysDays until relapseDrinks per drinking dayCraving
De Sousa and colleagues (2008) [48]IndiaBiomedical treatmentsPrivate hospital adolescent psychiatric patients100HighAbstinence daysDays until relapseDrinks per drinking dayCraving
De Sousa and colleagues (2008) [49]IndiaBiomedical treatmentsPrivate hospital adult psychiatric patients100HighAbstinence daysDays until relapseDrinks per drinking dayCraving
De Sousa and colleagues (2014) [50]IndiaBiomedical treatmentsPrivate hospital adult psychiatric patients100HighAbstinence daysDays until relapseDrinks per drinking dayCraving
Furieri and colleagues (2007) [51]BrazilBiomedical treatmentsAlcohol-dependent users referred for alcohol treatment60LowDrinks per dayDrinks per drinking dayHeavy drinking daysPercent abstinentOCDS
Gupta and colleagues (2017) [52]IndiaBiomedical treatmentsAlcohol-dependent users in outpatient treatment122Some concernsHeavy drinking daysAbstinent daysDays to first relapseRelapseAbstinenceOCDS
Hartmann and colleagues (2020) [53]IndiaPsychotherapy or counselingCouples60 couplesSome concernsAlcohol BreathalyzerAbstinence
Jirapramukpitak and colleagues (2020) [54]ThailandHealth promotion and educationAlcohol-dependent users161Some concernsAbstinence
Jordans and colleagues (2019) [55]NepalHealth promotion and educationMental health patients at the primary care setting162LowAUDIT
Kalichman and colleagues (2008) [56]South AfricaHealth promotion and educationUsers at informal drinking establishment353LowAlcohol outcome expectancy (“I am a better sex partner after I have been drinking” and “When I’m drinking, I do things I wouldn’t usually do”)
Kalichman and colleagues (2007) [57]South AfricaHealth promotion and educationSexually transmitted infections clinic143Low
Kamal and colleagues (2020) [58]IndiaBrief InterventionCollege students with hazardous use130LowAUDIT
Klauss and colleagues (2014) [59]BrazilBiomedical treatmentsAlcohol-dependent users33LowRelapseOCDS
Klauss and colleagues (2018) [60]BrazilBiomedical treatmentsAlcohol-dependent users45LowRelapseOCDS
L’Engle and colleagues (2014) [61]KenyaPsychotherapy or counselingFemale sex workers818HighDrinks per weekBinge drinking
Likhitsathian and colleagues (2013) [62]ThailandBiomedical treatmentsInpatient treatment for AUDs106LowHeavy drinking daysDrinks per dayDrinks per drinking dayCravings (visual analog)Heavy drinking relapses
Madhombiro and colleagues (2020) [63]ZimbabwePsychotherapy or counselingHIV clinic234LowAUDIT
Marques and colleagues (2001) [64]BrazilPsychotherapy or counselingAlcohol-dependent users155HighDrinking daysHeavy drinking daysProblem drinking daysDrinks per weekAlcohol Dependence Data Questionnaire
Marsiglia and colleagues (2015) [65]MexicoHealth promotion and educationMiddle school students431Some concernsDrinks per monthDrinking days
Mendez-Ruiz and colleagues (2020) [66]MexicoHealth promotion and educationSexually active female college students132Some concernsAUDIT
Mertens and colleagues (2014) [67]South AfricaBrief interventionYoung adults from primary care clinic403LowASSISTHeavy drinking
Moraes and colleagues (2010) [23]BrazilPsychotherapy or counseling and Health promotion and educationAlcohol-dependent users in outpatient treatment120HighAbstinenceDrinking daysAddiction Severity Index
Murray and colleagues (2020) [68]ZambiaPsychotherapy or counselingCouples with male hazardous use and intimate partner violence248 couplesLowAUDIT
Nadkarni and colleagues (2015) [69]IndiaBrief interventionMales presenting to primary care53LowAUDIT
Nadkarni and colleagues (2017) [70]IndiaBrief interventionHarmful drinking in males in primary care377LowAUDITAbstinenceAmount of consumptionHeavy drinking days
Nadkarni and colleagues (2017) [71]IndiaBrief InterventionHarmful drinking in males in primary care377LowAUDITAbstinenceAmount of consumption
Nadkarni and colleagues (2019) [72]IndiaBrief InterventionAlcohol-dependent males135LowRemission (AUDIT <8)Mean daily alcohol consumption% abstinent% heavy drinking daysUptake of detoxification servicesSIP
Nattala and colleagues (2010) [73]IndiaPsychotherapy or counselingInpatient90HighAbstinenceAmount of consumptionDrinking days
Ng and colleagues (2020) [74]IndiaPsychotherapy or counselingAlcohol-dependent users60Some concernsCravingDrinking daysDrinks per drinking daysRelapse
Noknoy and colleagues (2010) [75]ThailandBrief interventionHarmful users in primary care117LowDrinks per drinking dayHazardous drinkingDrinks per weekBinge drinking
Pal and colleagues (2007) [76]IndiaBrief interventionMale harmful users90Some concernsDrinking daysAddiction Severity Index
Papas and colleagues (2011) [77]KenyaPsychotherapy or counselingHIV clinic75LowDrinking daysDrinks per drinking dayAbstinence
Papas and colleagues (2020) [78]KenyaPsychotherapy or counseling and Health promotion and educationHIV clinic614Low% drinking daysDrinks per drinking day
Peltzer and colleagues (2013) [79]South AfricaBrief interventionTB patients853LowAUDITHeavy episodic drinking
Pengpid and colleagues (2013a) [80]South AfricaBrief interventionHazardous or harmful users392Some concernsAUDITHeavy episodic drinking
Pengpid and colleagues (2013b) [81]South AfricaBrief interventionUniversity students152Some concerns
Pengpid and colleagues (2015) [82]ThailandBrief interventionOutpatient clinic620LowDrinks per weekASSIST
Rendall-Mkosi and colleagues (2013) [83]South AfricaPsychotherapy and counselingPregnant women165Some concernsRisky drinkingAUDIT
Rotheram-Borus and colleagues (2015) [84]South AfricaHealth promotion and educationPregnant women904Some concernsDrinking daysDrinks per drinking dayHeavy drinking days
Sanchez and colleagues (2017) [85]BrazilHealth promotion and educationEarly adolescents (seventh and eighth grades)5,028LowBinge drinking episodes
Sanchez and colleagues (2018) [86]BrazilHealth promotion and educationEarly adolescents (seventh and eighth grades)5,028LowBinge drinking episodes
Satyanarayana and colleagues (2016) [87]IndiaPsychotherapy and counselingAlcohol-dependent males in inpatient treatment177LowSADQ
Segatto and colleagues (2011) [88]BrazilBrief interventionYoung adults presenting to emergency department175LowDrinking daysLight, moderate, or heavy drinking daysRAPIACRQ
Shin and colleagues (2013) [22]RussiaBiomedical treatments and Brief interventionAdults hospitalized for TB196Some concernsAbstinent daysHeavy drinking days
Signor and colleagues (2013) [89]BrazilBrief interventionCallers to counseling hotline637High% abstinent
Simao and colleagues (2008) [90]BrazilBrief interventionUniversity students266Some concernsRAPIAUDITBrief Drinker ProfileAlcohol Dependence Scale
Soares and Vargas (2019) [91]BrazilPsychotherapy and counselingHarmful or hazardous users180HighAUDIT
Sorsdahl and colleagues (2015) [92]South AfricaPsychotherapy and counselingEmergency department335LowASSIST
Ward and colleagues (2015) [93]South AfricaBrief interventionYoung adults in primary care363LowASSIST
Wechsberg and colleagues (2019) [94]South AfricaBrief interventionBlack African women going through HIV prevention641LowFrequency of heavy drinking episode
Witte and colleagues (2011) [95]MongoliaHealth promotion and educationFemale sex workers166LowAUDIT
Zhao and colleagues (2020) [96]ChinaBiomedical treatmentsAlcohol-dependent males with withdrawal symptoms62Some concernsCraving (PACS)

ACRQ, Alcohol Consumption Risk Questionnaire; ASSIST, Alcohol, Smoking and Substance Involvement Screening Test; AUD, alcohol use disorder; AUDIT, Alcohol Use Disorders Identification Test; BrAC, breath alcohol content; CAGE, Cut, Annoyed, Guilty, and Eye questionnaire; OCDS, Obsessive Compulsive Drinking Scale; PACS, Penn Alcohol Craving Scale; SADQ, Severity of Alcohol Dependence Questionnaire; SIP, Short Inventory of Problems; TB, tuberculosis.

Table 2

Meta-synthesis of studies assessing patient-level interventions to reduce alcohol harms in LMICs: brief intervention RCTs.

Intervention descriptionFollow-up timeOutcomesSummary of findings
WHO-based brief interventions (which uses MI techniques) (6)3, 6, 9, and 12 monthsHarmful alcohol use score (AUDIT)Alcohol misuses (ASSIST)Heavy drinking% of remission (ASSIST)% abstinent% daily or almost daily drinking% above recommended weekly limit% hazardous average daily consumptionAt 3 and 6 months, Assanangkornchai and colleagues found similar significant reductions in the frequency of alcohol use and other substances in both the intervention and control groups at the primary care setting [28].Penpgid and colleagues did not find evidence of efficacy of a mixed alcohol and tobacco brief intervention compared to an alcohol-only or tobacco-only session on past week alcohol use and Alcohol ASSIST score. All 3 arms did have a significant reduction in their alcohol consumption compared to baseline [82].Babor and colleagues found at 9 months that males who received brief or simple advice reported a 17% lower average daily alcohol consumption compared to the control group, with a reduction in the intensity of drinking at about 10%. Females reduced their consumption in both groups without between-group differences [29].Pengpid and colleagues found that at 12 months postintervention, university students had a significant reduction in AUDIT score compared to control [81]. As for outpatients, they found no significant differences in the reduction in relation to control [80].Peltzer and colleagues evaluated the impact of a brief intervention versus a health leaflet for TB clinic patients and did not find evidence of efficacy between control and intervention at 6 months (79).
Face to face and computer based (1)3 monthsASSISTAt 3 months, a face-to-face and computer-based MI both reduced ASSIST scores compared to the control group with computer-based intervention with the greater reduction [41].
Nurse, nurse practitioner, or lay counselor delivered (5)6 weeks3, 6, and 12 monthsASSIST% heavy drinking% at-risk useBinge drinking daysDrinking daysDrinks per dayHeavy drinkingMertens and colleagues found those who received a nurse practitioner–delivered brief intervention reduced patients’ alcohol ASSIST scores at 3 months by 38% versus 21% in the control arm [67].At 3 months, Noknoy and colleagues found a significant difference in number of binge drinking days between intervention (0.29) and control group (1.36), but at 6 weeks and 6 months, there was no significant difference. At 6 weeks, 3 months, and 6 months, there were significant differences in the average drinks per drinking day between intervention (3.00, 2.73, and 2.26) and the control group (4.85, 5.06, and 4.02), but no difference in the number of drinking days between baseline and follow-up [75].Nadkarni and colleagues found 36% remission (AUDIT 12–19) of alcohol use in the intervention group compared to the 26% of the control group. At 3 months follow-up, abstinence was significantly higher in the intervention (42%) compared to control (18%) groups. No effect on mean daily alcohol consumption or percent days of heavy drinking differences was found [70]. Results at 12 months showed maintained and enhanced effects on alcohol-related outcomes [71]. A pilot study found that for men with AUDIT>20, the CAP intervention arm had nonsignificant favorable outcomes for remission, proportion of nondrinkers, and ethanol consumption at 3- and 12-month follow-up as compared to enhanced usual care [72].
MI (6)1, 3, and 6 monthsAlcohol Consumption QuestionnaireRAPI scoreACRQAPRAAlcohol abstinenceASSISTDrinking daysASISegatto and colleagues found significant reduction in alcohol-related problems and alcohol use in the brief intervention and alcohol educational brochure groups but no significant differences between the groups for days of use and amount of use, RAPI, ACRQ and APRA scores, at 3 months follow-up [88].Signor and colleagues found a significant difference between groups in the reduction of participants consuming alcohol at 6 months follow-up (70% of individuals in the helpline-based brief intervention group and 41% in the control/minimal intervention group) [89].Ward and colleagues found that those who received a brief MI at the primary care setting and resource list were more likely to reduce alcohol misuse than control at 3 months [93].Pal and colleagues found men who received a brief intervention had a decreased average amount of alcohol use in prior 30 days (24.7 to 10.1 versus 26.1 to 19.1) and decreased Addiction Severity Index (0.36 to 0.18 versus 0.42 to 0.33) at 3 months compared to those who received simple advice only [76].A significant reduction in AUDIT scores at 3 months follow-up was observed by Kamal and colleagues for an on-campus, nurse-delivered brief alcohol screening, and intervention as compared to general advice. The intervention group also had a significant shift of participants from high- to low-risk AUDIT zone as compared to the control group [58].Shin found no differences in the proportion of abstinent days between intervention and control in a TB clinic [22].
BASICS, MI, and harm reduction (1)12 and 24 months# drinks per dayRAPI scoreHarmful alcohol use score (AUDIT)Simao and colleagues found that college students receiving a brief alcohol screening and intervention had a decrease in the quantity of alcohol use per occasion (4.5 drinks/occasion to 3.7) compared to control (5.1 drinks/occasion to 5.0) at 24 months. There was also significant reduction in AUDIT and RAPI scores between intervention (9.6 to 7.3; 7.0 to 4.3) and control (9.6 to 8.6; 7.6 to 3.9, respectively) [90].
PNF (3)1, 3, and 6 monthsAUDIT/AUDIT-cAlcohol consequences# of drinksBinge drinkingThe intervention group showed a reduction in the number of drinks in a typical drinking day at all follow-up times (OR ranging from 0.71 to 0.68) compared to control. A significant increase in alcohol consequences was observed in the intervention group at 3 months compared to control. The intervention effects were higher for participants with higher motivation for receiving the intervention groups [34].No differences in binge drinking between control and intervention were observed by Baldin and colleagues [30].Bedendo and colleagues found in this we-based study of college students a significant reduction in AUDIT scores among NFO and CFO study arms at 1 and 3 months follow-up, respectively, as compared to the PNF arm. Alcohol consequences were lower in NFO at 1 month follow-up and in drinking frequency at 3 months follow-up compared to PNF [35].
Women-focused social cognitive oriented behavioral intervention (1)6 and 12 monthsHeavy drinking episodes# binge drinking daysIntervention arm showed significantly less frequent heavy drinking behavior (−13.5 in % points) and heavy drinking days (9.9 [SD 8.4] average drinks for control versus 7.4 [SD 7.8] for intervention) at 6 months, but no changes at 12 months. There was no difference in the average number of drinks per drinking days at both follow-up times [94].

ACRQ, Alcohol Consumption Risk Questionnaire; APRA, Alcohol Perception of Risk Assessment; ASI, Alcohol Severity Index; ASSIST, Alcohol, Smoking and Substance Involvement Screening Test; AUDIT, Alcohol Use Disorders Identification Test; BASICS, Brief Alcohol Screening and Intervention of College Students; CAP, Counseling for Alcohol Problems; CFO, consequences feedback only; LMIC, low- and middle-income country; MI, motivational intervention; NFO, normative feedback only; OR, odds ratio; PNF, personalized normative feedback; RAPI, Rutgers Alcohol Problem Index; RCT, randomized controlled trial; TB, tuberculosis; WHO, World Health Organization.

Table 3

Meta-summary of studies assessing patient-level interventions to reduce alcohol harms in LMICs: psychotherapy or counseling RCTs.

Intervention descriptionFollow-up timesOutcomesSummary of findings
CBT (6)Individual versus group CBT15 months# binge drinking days# drinking per drinking days% harmful drinkingMarques and colleagues found that at 15 months, both group and individual interventions had reduction in the mean number of drinking days (group 51 to 29 and 47 to 30), number of heavy drinking days (40 to 20 and 29 to 11), number of problem drinking days (21 to 7 and 12 to 4), mean weekly consumption (43 to 19 and 30 to 12), GGT (109 to 43 and 87 to 34), and SADD (17 to 11 and 17 to 11). There was no difference between the groups [64].
CBT1, 2, and 3 monthsSADQ scores# drinking daysSatyanarayana and colleagues found that both usual care and CBT for inpatient alcohol-dependent males who screened positive for intimate partner violence reduced SADQ scores over 3 months (ICBI 28.9 to 18.9, 27.3 to 19.7) with no significant between-group differences [87].Papas and colleagues found that compared to usual care, CBT for HIV-infected outpatients who reported hazardous or binge drinking showed a reduction in mean difference percent drinking days (24.9) and drinks per drinking days (2.88) at 30 days follow-up [77].
CETA, a CBT-based treatment model targeting mental and behavioral comorbidities12 monthsAUDITAt 12 months follow-up, Murray and colleagues found a significantly greater reduction in the mean AUDIT score of the CETA intervention arm (14.9 to 5.7) compared to treatment as usual (14.6 to 10.0) in couples with intimate partner violence [68].
Group CBT versus healthy lifestyle education9 months% drinking daysDrinks per drinking dayPapas and colleagues found that compared to healthy lifestyle education, the group CBT intervention arm had significantly lower % drinking days (10.26 versus 7.58) and drinks per drinking day (1.69 versus 1.15) overall [78].
CBT with CM1 monthBrACHartmann and colleagues found that compared to usual care, a significantly greater proportion of individuals receiving CBT with incentive-based CM tested negative for alcohol consumption (0.96 versus 0.76) at 1 month follow-up; incentives-only arm had a similar reduction in alcohol consumption to the CBT with incentive-based CM [53].
Combined methods (5)Phramongkutklao model, an inpatient rehabilitation program using Buddhism, CBT, health education, family education, and relaxation therapy1, 3, and 6 monthsAbstinent daysAlcohol consumptionCraving daysDaengthoen and colleagues found an intensive inpatient rehabilitation model (PMK) found a significant difference in the mean difference of alcohol consumption (mean difference −9.4 baseline, −23.0 1 month, −3.3 3 months, and −4.4 6 months) and mean drink cravings (4.3 versus 3.3) at 1, 3, and 6 months [45].
Family inclusive relapse prevention6 months% of abstainers daysNattala and colleagues found a significantly higher percentage of dyadic relapse prevention patients were abstinent throughout the 6-month follow-up period (57%) compared to individual relapse prevention (27%) and treatment as usual (30%) [73].
MI and PST3 monthsHarmful alcohol use score (AUDIT)Sorsdahl and colleagues found for emergency department patients, there was a significant reduction in substance use determined by ASSIST at 3 months for those who received a MI–PST intervention (18.71 to 9.89) compared to the MI (19.96 to 12.28) and control (19.3 to 11.91). There was no significant difference between the MI and control group [92].
Combined MI and CBT nurse delivered individual counseling6 monthsAUDITAt 6-month follow-up, Madhombiro and colleagues found a significantly greater change in AUDIT scores in the intervention arm (14.89 to 8.75) as compared to enhanced usual care (14.74 to 11.61) [63].
BMS intervention (1), Multidimensional holistic group intervention combining health education and relapse prevention with acupuncture, breathing, and meditation-based exercises1, 2, and 3 monthsPACSDrinking daysDrinks per drinking dayRelapseNg and colleagues found significantly less alcohol cravings, drinking days, drinks per drinking day, and rates of relapse in the BMS intervention group as compared to treatment as usual at 3-month follow-up [74].
MI (4)MI based counseling sessions, WHO Brief Intervention for Alcohol Use6 and 12 months% of abstinent days# binge drinking daysAt 6 months, there were significant reductions in alcohol use over the prior 30 days for the intervention group with 53.8% reporting never drinking over the prior 30 days compared to 26.2% of the control group. Significant reduction in binge drinking with 73.7% of the intervention group compared to 33.2% of the control group reporting never binge drinking in the prior 30 days [61].At 12 months, 66.3% of the intervention group reported never drinking over the prior 30 days compared to 39.4% of the control group. Similarly, 78.9% of the intervention group reported never binge drinking compared to 47.6% of the control group [61].
Group-based MI3 and 12 monthsAEP% harmful alcohol use (risky drinking)Rendall-Mkosi and colleagues found that compared to the control, a 5-session intervention reduced the proportion of women at risk for AEP (51% intervention and 28% control) at 3 and 12 months. There were declines for both groups in the proportion of women who met criteria for risky drinking at 3 and 12 months (intervention 14.75% versus 10.94%), but the difference between the 2 groups was not significant [83].
Relapse prevention and MI with or without HVs for outpatients3 months% abstinenceConsumption daysMoraes found that after intensive outpatient intervention, of those with subsequent HVs 51.8% were abstinent compared to 43.1% being abstinent among those with no HV controls at 3 months follow-up [23].
NIH/NIAA-based brief counseling6 monthsAbstinent daysHeavy drinking daysShin found that for hospitalized TB patients with AUDs who were given a brief counseling intervention with or without naltrexone, there was no change in mean number of abstinent days in the prior 30 days nor number of heavy drinking days [22].

AEP, alcohol-exposed pregnancy; AUD, alcohol use disorder; AUDIT, Alcohol Use Disorders Identification Test; BMS, body–mind–spirit; BrAC, breath alcohol concentration; CBT, cognitive behavioral therapy; CETA, Common Elements Treatment Approach; CM, contingency management; GGT, Gamma-Glutamyl Transferase; HV, home visit; ICBI, integrated cognitive-behavioral intervention; LMIC, low- and middle-income country; MI, motivational interviewing; NIAA, National Institute on Alcohol Abuse and Alcoholism; NIH, National Institutes of Health; PACS, Penn Alcohol Craving Scale; PMK, Phramongkutklao; PST, problem solving therapy; RCT, randomized controlled trial; SADD, Short Alcohol Dependence Data Questionnaire; SADQ, Severity of Alcohol Dependence Questionnaire; TB, tuberculosis; WHO, World Health Organization.

Table 4

Meta-summary of studies assessing patient-level interventions to reduce alcohol harms in LMICs: health promotion and education RCTs.

Intervention descriptionFollow-up timesOutcomesSummary of findings
Workplace health promotion programs (2)Team awareness, social cognitive, and MI theory health promotion3 monthsBinge drinking# drinking days# drinking per daysAttitude toward alcoholBurnhams and colleagues found that a team awareness intervention reduces the mean binge drinking days from 2.1 to 1.4 days compared to an increase from 1.6 to 2.1 days in the control group [38].Aira and colleagues found at a 3-month follow-up, a health promotion intervention for factory workers had a reduction in alcohol drinks per day for men (b −0.19) and women (b −0.28) and attitudes toward drinking (b 3.06), but not for days of alcohol consumption (b −0.13) [26].
Community based (5)Community-based intervention for risk reduction of HIV-related behaviors12 and 24 monthsCurrent alcohol useFrequency of alcohol useQuantity of drinks consumedCubbins and colleagues studied a community-based intervention and found declines in alcohol use and abuse over the study period in relatively equal levels [43].
HVHV with CMHV for pregnant women12, 13, and 16 weeks18 and 36 monthsAbstinenceDrinking daysAlcohol use during pregnancyFrequency of use# of drinks per drinking dayFrequency of 3 or more drinks per dayAUDITMoraes and colleagues evaluated the cost-effectiveness of an outpatient conventional (CT) alcohol rehabilitation treatment to conventional treatment with HV. Authors found both groups had a large proportion of the patients were abstinent at follow-up CT (3.4% to 43.1%) and HV (1.6% to 58.11%), but the overall difference of 44% more abstinent patients was not significantly different [23].Jirapramukpitak and colleagues found that home-based CM did not improve continuous abstinence over the 12-week intervention period. The higher-magnitude CM intervention arm did have a significantly higher abstinence rate in the postintervention follow-up period [54].Rotheram-Borus and colleagues studied a HV for prenatal and postnatal visits for pregnant women up to 36 months postdelivery and did not find a direct association between intervention and alcohol use [84].Bolton and colleagues found no differences in AUDIT scores between a control and intervention in Burmese refugees in Thailand [37].
School based (6)STEP for HIV/AIDS and alcohol use10 weeksIntention to useChhabra and colleagues found no differences in intention to use alcohol after implementation of a STEP program compared to control at 10-week outcome assessment [40].
School-based curriculum using communication competence theory to develop use resistance strategies8 monthsDrinks per dayDrinking daysMarsiglia and colleagues found that after an implementation of a school-based curriculum, both intervention and control groups had an increase in the amount of use and frequency of use, yet the intervention group had significantly less increase in amount and frequency of use [65].
Socioecological theory and sociocognitive theory–based healthy lifestyle education and environmental changes4 months% participants reporting alcohol intakeBarbosa Filho and colleagues found that no differences between control and intervention groups were observed in the proportion of adolescents reporting not taking alcohol in the last month [33].
Nurse-delivered Health, Education, Prevention and Self-Care (SEPA) based on Social Cognitive Model of Behavior Change1 monthAUDITAmong sexually active university-recruited women, Mendez-Ruiz and colleagues found decreased alcohol use in the intervention group compared to the control group [66].
Life skills development curriculum for schools based on a comprehensive social influence program9 and 21 months% of first use of alcohol# of binge drinking days% of alcohol useNo differences were observed at 9 months between intervention and control for alcohol use and binge drinking. At 9 months, participants in the intervention group showed a higher chance of using alcohol for the first time (RR 1.30, CI 95% 1.13;1.49) [85].At 21 months, participants in the intervention group reported higher risk of initiating alcohol use (OR 1.13, CI 95% 1.01;1,27) and higher chance of using alcohol in the past year (OR 1.30, CI 95% 1.02;1.65). No effects were observed for binge drinking in the past year or alcohol use and binge drinking in the past month [86].
Clinic based (7)Family Strengthening Intervention for HIV-affected families3 monthsCaregiver AUDITChaudhury and colleagues found compared to treatment as usual, a family-based intervention to reduce alcohol use and violence within HIV-affected families in Rwanda had had significant reductions in alcohol use compared to control (−0.56) at 3-month follow-up [39].
HIV–alcohol risk reduction intervention1, 3, and 6 monthsAlcohol use in sexual contextAnticipated outcome of alcohol useKalichman and colleagues found that a behavioral risk reduction counseling intervention for sexually transmitted infection clinic patients had a reduction in alcohol use and expectancies that alcohol enhances sexual experiences at 3-month follow-up [57].Kalichman and colleagues found that compared to a 1-hour HIV–alcohol education group, the 3-hour brief behavioral HIV–alcohol risk reduction intervention reduced alcohol use before sex at 3 and 6 months [56].Ahmadi and colleagues found that, compared to treatment as usual, an HIV-focused peer education training program had significant reductions in both alcohol use prior to sexual intercourse and number of sex acts while intoxicated among female drug users at 1 and 3 months follow-up [25].
Group CBT versus healthy lifestyle education9 months% drinking daysDrinks per drinking dayPapas and colleagues found that compared to healthy lifestyle education, the group CBT intervention arm had significantly lower % drinking days (10.26 versus 7.58) and drinks per drinking day (1.69 versus 1.15) overall [78].
HIV SR reduction arm and MI+risk reduction3 and 6 monthsAUDITWitte and colleagues studied the efficacy of a relationship-based SR reduction intervention, SR reduction intervention with MI compared to a wellness control to reduce harmful alcohol use among female sex workers. All groups were effective in reducing the AUDIT score from baseline to 6 months (wellness promotion −30.98 to 18.30, risk reduction −28.42 to 18.12, and risk reduction and MI −32.64 to 21.72), but there was no significant difference between groups [95].
Multifaceted district level mental healthcare plan + brief intervention12 monthsAUDITJordans and colleagues found no statistical significant difference between control and intervention for the reduction in AUDIT scores from baseline and follow-up (B = 12.16; CI 95% −6.10; 1.79) [55].

AUDIT, Alcohol Use Disorders Identification Test; CM, contingency management; HV, home visit; LMIC, low- and middle-income country; MI, motivational interviewing; OR, odds ratio; RCT, randomized controlled trial; RR, risk ratio; SEPA, Health, Education, Prevention and Self-Care; SR, sexual risk; STEP, School-based Teenage Education Program.

Table 5

Meta-summary of studies assessing patient-level interventions to reduce alcohol harm in LMICs: biological treatment RCTs.

Intervention descriptionFollow-up timesOutcomesSummary of findings
Medication (15)Naltrexone (3)1, 2, 3 and months% abstinent% relapse# abstinent days# heavy drinking daysThere was no significant difference in the percentage of abstinence, number of heavy drinking days, or number of abstinent days when comparing naltrexone and the placebo [22,24,32].Naltrexone significantly decreased the relapse percent when compared with the placebo, 74.14% relapse in control, versus 55.17% relapse in the intervention. [24], although another study reported no significant change in percent abstinent at fourth week or eighth week (intervention: week 4: 53.1% week 8: 40.8% Control: week 4: 42.6% week 8: 31.5%) [32].
Acamprosate with participation in AA optional (1)1, 2, 3, 4, 6, 8, 12, 16, 20, and 24 weeks% abstinentAbstinent daysThere was a significant difference in abstinence between the trial group (acamprosate) (42.5%) and the control group (20%) [31].Abstinent days were significantly greater in patients who received acamprosate and did not participate in AA than in patients who received placebo and did not participate in AA. Abstinent days were not significantly greater in the subgroup who received acamprosate and participated in AA than in the subgroup who received placebo and participated in AA [31].
Ondansetron (1)3 months% abstinent# drinks per dayThere was no significant difference between the trial group (ondansetron) and the control group (placebo) for the main outcome, percentage of study participants abstinent (trial: 88.6%, placebo: 76.1%). There was also no significant difference between mean number of drinks per day (trial: 0.66, placebo: 1.09) [42].
Baclofen + brief intervention (1)3 months# abstinent daysBaclofen and brief intervention (FRAMES) significantly increased the number of abstinent days (65.1) when compared to the benfotiamine (nutritional supplement/control) group and brief intervention (FRAMES) (39.66) [52].
Gabapentin (1)1 monthDrinks per daysDrinks per drinking day% heavy drinking% abstinentOCDSThe gabapentin group had a significantly decreased number of drinks per day, weekly drinks, alcohol consumption during 4 weeks of treatment, and mean percentage of heavy drinking days, and a significantly higher mean percentage of days of abstinence. No differences in drinks per drinking day or OCDS scores between groups [51].
Topiramate (1, 1 repeated sample)1, 2, and 3 months% abstinent# drinks per day# drinks per drinking day% drinking days# heavy drinking days# abstinent daysTopiramate caused a significant increase in the percentage of abstinence at 4 weeks compared to the control group, 42.6% in the placebo and 67.3% in intervention [32].There was no statistical difference between topiramate and the placebo at week 4, week 8, and week 12 for percent heavy drinking days (intervention: 0.7, 4.9, 2.3; control: 5.0, 5.7, 5.3), percent of drinking days (intervention: 6.6, 7.5, 5.5; control: 11.9, 11.3, 6.4), number of drinks per drinking day (intervention: 1.1, 2.9, 1.2; control: 1.7, 2.2, 4.2), and number of drinks per day (intervention: 0.2, 0.7 0.7; control: 0.7, 0.7, 0.9) [62].
Disulfiram (5)9 and 12 months# of days of abstinence# days until relapse# drinks per week# drinks per occasionOCDSThe groups receiving disulfiram showed higher frequency of days of abstinence, higher days to first relapse, less craving and less relapse events than topiramate in alcohol-dependent men [49].A similar pattern of results were observed when comparing disulfiram to naltrexone, but had higher cravings. No differences were observed in the amount of days to the first alcohol used [46,48,50].Compared to acamprosate, the group receiving disulfiram showed higher abstinent days, fewer relapse events, and a higher number of days until first alcohol use and to first relapse. No difference was observed in the total number of abstinent days and a higher craving was observed in the disulfiram group [47].
Amitriptyline versus Mirtazapine (1)56 daysAlcohol cravingThe mean alcohol craving scores decreased significantly from baseline to follow-up in both groups. There were no differences in the craving scores between mirtazapine and amitriptyline groups (170.7 SD 26.0 versus 157.7 SD 29.4 at the baseline and 97.3 SD 40.6 versus 99.9 SD40.2 at the endpoint) [27].
Escitalopram + electroacupuncture (1)4 weeksPACSZhao and colleagues found that after 4-week treatment, the global scores of PACS declined significantly in both the escitalopram with electroacupuncture and the escitalopram without electroacupuncture groups (both P < 0.05). Furthermore, the decline in the rea -electroacupuncture group was superior to that in the sham electroacupuncture group (P < 0.05) [96].
Brain stimulation (4)tDCS (4)Immediate post treatment5 weeks3 and 6 monthsAlcohol craving level% of relapsetDCS significantly decreased alcohol cravings compared to sham stimulation [36,44].Klauss and colleagues found that the percentage of relapse at 6 months follow-up was higher in the sham group (88%) than the tDCS group (50%) with no difference in cravings between the groups [59]. However, an intensive tDCS scheme was associated with a larger reduction in alcohol cravings when compared to sham-based control, also associated with lower relapse up to 3 months postintervention [60].

AA, Alcoholics Anonymous; FRAMES, Feedback, Responsibility, Advice, Menu, Empathy, Self-efficacy; LMIC, low- and middle-income country; OCDS, Obsessive Compulsive Drinking Scale; PACS, Penn Alcohol Craving Scale; RCT, randomized controlled trial; tDCS, transcranial direct current stimulation.

ACRQ, Alcohol Consumption Risk Questionnaire; ASSIST, Alcohol, Smoking and Substance Involvement Screening Test; AUD, alcohol use disorder; AUDIT, Alcohol Use Disorders Identification Test; BrAC, breath alcohol content; CAGE, Cut, Annoyed, Guilty, and Eye questionnaire; OCDS, Obsessive Compulsive Drinking Scale; PACS, Penn Alcohol Craving Scale; SADQ, Severity of Alcohol Dependence Questionnaire; SIP, Short Inventory of Problems; TB, tuberculosis. ACRQ, Alcohol Consumption Risk Questionnaire; APRA, Alcohol Perception of Risk Assessment; ASI, Alcohol Severity Index; ASSIST, Alcohol, Smoking and Substance Involvement Screening Test; AUDIT, Alcohol Use Disorders Identification Test; BASICS, Brief Alcohol Screening and Intervention of College Students; CAP, Counseling for Alcohol Problems; CFO, consequences feedback only; LMIC, low- and middle-income country; MI, motivational intervention; NFO, normative feedback only; OR, odds ratio; PNF, personalized normative feedback; RAPI, Rutgers Alcohol Problem Index; RCT, randomized controlled trial; TB, tuberculosis; WHO, World Health Organization. AEP, alcohol-exposed pregnancy; AUD, alcohol use disorder; AUDIT, Alcohol Use Disorders Identification Test; BMS, body–mind–spirit; BrAC, breath alcohol concentration; CBT, cognitive behavioral therapy; CETA, Common Elements Treatment Approach; CM, contingency management; GGT, Gamma-Glutamyl Transferase; HV, home visit; ICBI, integrated cognitive-behavioral intervention; LMIC, low- and middle-income country; MI, motivational interviewing; NIAA, National Institute on Alcohol Abuse and Alcoholism; NIH, National Institutes of Health; PACS, Penn Alcohol Craving Scale; PMK, Phramongkutklao; PST, problem solving therapy; RCT, randomized controlled trial; SADD, Short Alcohol Dependence Data Questionnaire; SADQ, Severity of Alcohol Dependence Questionnaire; TB, tuberculosis; WHO, World Health Organization. AUDIT, Alcohol Use Disorders Identification Test; CM, contingency management; HV, home visit; LMIC, low- and middle-income country; MI, motivational interviewing; OR, odds ratio; RCT, randomized controlled trial; RR, risk ratio; SEPA, Health, Education, Prevention and Self-Care; SR, sexual risk; STEP, School-based Teenage Education Program. AA, Alcoholics Anonymous; FRAMES, Feedback, Responsibility, Advice, Menu, Empathy, Self-efficacy; LMIC, low- and middle-income country; OCDS, Obsessive Compulsive Drinking Scale; PACS, Penn Alcohol Craving Scale; RCT, randomized controlled trial; tDCS, transcranial direct current stimulation.

Meta-summary

Brief interventions

The brief interventions category had the greatest number of RCTs in our study with 24 RCTs, and these interventions were the most similar to each other. The types of interventions included most commonly were WHO-based brief interventions (which utilizes some MI techniques) [28,29,79-82] or MI interventions [22,58,76,88,89,91,93]. Some studies focused more on the intervention delivery, specifically nurse or layperson [67,70,71,75] or computer-based interventions [30,34,35,41]. Outcomes were also varied including harmful alcohol use scores (AUDIT) or alcohol misuse (ASSIST), abstinence or remission (ASSIST), and percent or number of days of drinking or heavy drinking. Overall, the majority of the studies evaluating brief interventions demonstrated evidence of efficacy in one or more of their alcohol-related outcomes, for both short- (up to 3 months) and long-term (6+ months) outcomes, comparing intervention and control [29,34,35,41, 58,67,70,71,75,76,80,88–90,91,93,94]. WHO-based brief interventions were found to be efficacious to reduce average daily alcohol consumption in males at the health setting [29] and AUDIT average scores in university students [81]. With brief interventions delivered from a motivational intervention framework, Signor and colleagues found at 6-month follow-up, 70% of individuals in the helpline-based brief intervention group and 41% in the control/minimal intervention group had remained abstinent [89]. Similarly, this mode of delivery showed evidence of efficacy at the primary care setting to reduce alcohol use [76,91,93] and with university students [58]. Simao found that college students had a significant reduction in the amount of alcohol use per occasion and AUDIT scores up to 24 months after the intervention [90]. Other modes of delivery revealed that lay counselor–delivered interventions had significant differences between intervention and control [67,71,75], and a computerized intervention reduced alcohol use as much as an in-person motivational intervention [41]. One study focused on the efficacy of a women-focused brief intervention demonstrated efficacy of the interventions in reducing heavy drinking behavior and heavy drinking days in women [94]. However, there were some studies that found a similar reduction in alcohol-related outcomes between both the intervention and control groups, thus a null effect [22,28,30,79,80,82,88]. Assangkornchai and Pengpid found brief interventions at the primary care setting addressing alcohol and other substances reduced alcohol use for both intervention and control arms equally [28,80,82]. Similarly, those evaluating a brief intervention in tuberculosis patients in the inpatient or outpatient setting showed limited results [22,79]. Web-based, personalized normative feedback (PNF) interventions showed conflicting results in 2 studies with similar populations [30,34]. Nadkarni and colleagues found a reduction in alcohol consumed and mean AUDIT score for both MI-based interventions but no difference between the groups; however, this feasibility study was not powered to detect such differences [70,72].

Psychotherapy or counseling

Overall, 15 RCTs matched our definition of psychotherapy or counseling. Interventions in this group varied in terms of length, population, and framework. Most commonly, interventions used MI techniques [22,23,61,69,72,83] or cognitive behavioral therapy (CBT) [53,64,68,77,78,87]. Some interventions used education and stigma reduction [73] or a combination of methods [45,92]. These studies also had varied populations, including hospitalized patients [45,63,73,74,87,91], emergency department patients [92], outpatient primary care patients [69], and patients visiting clinics specializing in reproductive health [61,83], HIV or tuberculosis [22,77], and substance abuse [23,64]. A number of the studies found a reduction in alcohol-related outcomes. Daengthoen’s intensive inpatient rehabilitation combination therapy intervention had a reduction in alcohol consumption and drink cravings [45]. Nattala found that a significantly higher percentage of dyadic intervention patients (57%) were abstinent compared to individual treatment (27%) or treatment as usual (30%) patients [73]. Sorsdahl and colleagues found a reduction in the ASSIST scale for those who received the MI with problem solving intervention compared to the control, yet there was no difference between the MI alone and the control group [92]. L’Engle, Rendall-Mkosi, and Moraes all had significant findings for their MI interventions reducing binge drinking up to 12 months, reducing the proportion of women at risk for alcohol-exposed pregnancies and increasing the proportion of abstinent patients [23,61,83]. Ng and colleagues used a body–mind–spirit multidimensional intervention and reported significantly less alcohol cravings, drinking days, drinks per drinking day, and relapse in the intervention group compared to treatment as usual at 3 months [74]. Randomization to receive CBT, in different modalities, was found to be associated with a higher reduction in drinking days, drinks per drinking days [77,78], and AUDIT score [63] in comparison to usual care, at 3 months for HIV-infected outpatients reduction in mean AUDIT score [68], and alcohol consumption [53] in participants positive for intimate violence. A few of the studies in this subgroup had null effects or found no difference between the intervention and control arms. Marques and colleagues found a reduction in many of their alcohol-related outcomes for the group and individual intervention arms at 15 months, but the intervention arms were not significantly different from each other [64]. Similarly, Satyanarayan found a reduction in Severity of Alcohol Dependence Questionnaire (SADQ) scores for CBT and usual care arm patients but no significant difference between intervention arms; authors believed that this was because both intervention arms received similar alcohol reduction strategy intervention components [87]. Alternatively, Shin and colleagues found that their intervention, which focused on inpatient tuberculosis patients with severe AUDs, caused no change in alcohol-related outcomes, likely because the study did not include alcohol treatment–seeking patients, but had patients with low readiness to change or poor intervention participation rates combined with relatively low enrollment numbers [22].

Health promotion and education

In total, we found 20 RCTs, which evaluated health promotion and education interventions. Of these, 2 were based in the workplace [26,38], 5 in the community [23,37,43,84], 6 in schools [33,40,65,85,86], and 7 in clinics [39,55-57], of which 1 was focused on women sex workers [95]. The majority of programs addressed alcohol use in the context of HIV/AIDS prevention and risk reduction [38-40,43,56,57,95]. About half (8 of 17) of the health promotion and education interventions were found to have positive results [25,26,38,39,54,56,57,65,66,84]. Some of these studies also had mixed results. For example, Aira and colleagues found a reduction in drinks per day and an improvement in attitudes toward drinking, but not a reduction in the total amount of alcohol consumption [26]. Similarly, Rotheram-Borus found that home visits for pre- and postnatal women were associated with a reduction in the use of alcohol during pregnancy, but this drinking resumed postpartum [84]. Meanwhile, a majority of the studies that found no effect of their interventions either were not adequately powered to detect the alcohol-related outcome [23,43] or were compared to another intervention rather than a control, thus potentially obscuring some potential reduction in harm [95]. Cubbins and colleagues evaluated a community-level intervention in which popular community individuals relayed education through casual conversations and found significant alcohol reduction in both the intervention and control groups, but no difference between the groups [43]. Chhabra and colleagues looked at the effectiveness of a Severity of Alcohol Dependence Questionnaire (STEP) school-based program but found that students, and more specifically girls, had an immediate reduction in their intent to use alcohol, but there was no difference in the intention to use alcohol at the 10-week outcome assessment [40].

Biomedical treatments

The final group of RCTs evaluated biomedical treatments and included 19 RCTs evaluating medications and brain stimulation. The 14 RCTs evaluating medications looked at naltrexone (3) [22,24,32], ondansetron (1) [43], gabapentin (1) [51], disulfiram (5) [46-50], and topiramate (2) [32,62]. Two RCTs evaluated combined behavioral and medication interventions: evaluated acamprosate with Alcoholics Anonymous (AA) [31] and one evaluated baclofen with a brief intervention [52]. One RCT evaluated the efficacy of adding acupuncture to an escitalopram treatment regimen [96]. The RCTs evaluating naltrexone and ondansetron found limited impact on abstinence, number of heavy drinking days or number of abstinent days [22,24,32], and abstinence [43]. Mixed effects were found by RCTs for topiramate, where Baltieri found an increase in abstinence at 4 weeks, although Likhitsathian found no differences in any drinking quantity or frequency measures up to 12 weeks [32,62]. On the other hand, the RCTs evaluating gabapentin, acamprosate, and baclofen exhibit more positive results. Furieri found that gabapentin was associated with a significant decrease in quantity and frequency of drinking and higher mean abstinent days [51]. Baltieri found that acamprosate improved abstinence rates but only for those who participated in AA [31]. Moreover, Gupta found that patients who received baclofen compared to a nutritional supplement, with a brief motivational intervention, were more likely to remain abstinent, have lower heavy drinking days, and fewer alcohol cravings [52]. We identified 4 RCTs that studied transcranial direct current stimulation, and all of them occurred at 2 institutions in Brazil. While 3 of these studies found a decrease in alcohol cravings compared to sham stimulation [36,44,60], one study found a lower relapse rate in the brain stimulation group but with no difference in alcohol cravings at 6-month follow-up [59]. Ultimately, 3 of the 4 studies in this group found more relapses in the intervention group at 4-week, 6-month, and 12-month follow-up [44,59,60].

Discussion

This is the first review, to our knowledge, of alcohol harm reduction interventions evaluated in LMICs. Most studies we found took place in middle-income countries; there was a noticeable gap of studies in the Middle East, North Africa, Europe, Central Asia, and South Asia regions. Overall, we found that there was limited uniformity for interventions, outcomes, and follow-up times across studies, which limited our ability to compare results. The vast majority of evaluations were limited to middle-income settings, leading to feasibility and generalizability concerns for low-income settings. Of all the RCTs, brief interventions were the most commonly studied; similarly, MI techniques were the most prevalent behavior change technique common in both brief and psychotherapy and counseling interventions. Brief interventions and motivational interviewing techniques also had the most consistent positive results in our findings.

Lack of uniformity limits effective comparisons

The studies included in our meta-summary used a wide variety of metrics to measure alcohol-related outcomes of alcohol interventions; these metrics included (i) AUDIT scores; (ii) ASSIST scores; (iii) # of drinking days; (iv) # heavy drinking days; (v) # drinks per drinking day; (vi) # abstinent days; (vii) # drinks per day; (viii) % of patients abstinent; and (ix) % of patients relapsing. The time period over which these outcomes were measured also varied considerably, from 3 months [41] to 24 months [90]. This lack of uniformity compromised our ability to discern the effectiveness of interventions or to compare results across studies. The diversity of alcohol consumption outcomes measures is due in part to varying recall, reference period, and definition of a “standard drink” [97-99]. Future study studies may benefit from using consistent outcome measures and adopting uniform methods of intervention implementation or study designs.

Uncertain feasibility of implementing interventions in low-income country setting

The vast majority of the studies in this review were conducted in middle-income countries. Thus, the feasibility of implementing these interventions and their effectiveness in low-income settings is uncertain. Low-income countries face greater barriers (such as scarcity of medical facilities, limited training available to medical staff, infrastructural barriers to healthcare access, and effective patient communication/follow-up) to implementing effective healthcare than either high- or middle-income countries. As a clear example, all 4 studies [36,44,59,60] that used brain stimulation as an intervention were conducted in Brazil, an upper middle-income country. In addition to its uncertain effectiveness, brain stimulation requires expensive equipment and specific facilities, and it is not likely to be feasible in some low-income country settings. In another example, although psychotherapy and counseling interventions are demonstrably effective [45,61,73,83,92], none of these studies took place in a low-income country, so the feasibility of implementing this type of intervention is uncertain. Given that infrastructure in low-income settings is even more limited in mental health and substance abuse facilities and professionals, with a greater associated stigma, an alcohol use reduction intervention implementation of this kind is still potentially unfeasible. Similarly, medication shows some evidence of a positive effect on abstinence from alcohol, but reliable availability of medication is essential for this intervention to be effective; thus, medication may not be a feasible intervention in a low-income country [100,101]. Instead, the most studied and potentially most feasible intervention is a brief intervention. In our systematic review, 6 studies evaluated brief interventions in South Africa [67,79-81,93,94]. Brief interventions have been studied to decrease alcohol use and alcohol-related consequences in a variety of settings and countries [102-105]. They have also been suggested to be cost-effective in high-income countries [106]. In low- and middle-income settings, brief interventions are likely to be feasible because they can be delivered by nonprofessionals requiring less training.

Limitations

There are a few limitations to our study. First, our search strategy did not exclude studies due to language, and, yet, we found no manuscripts in other languages. Thus, either there is no non-English language literature on this topic or the data sets we searched have limited non-English language articles. Second, our ability to conduct a thorough meta-analysis was restricted by nonuniform outcome measurements, a wide variety of outcome assessment times, and a wide variety of interventions, making it difficult to compare interventions and their effects. To compensate for this, we summarized results from RCTs qualitatively. Similarly, we conducted our database search for only LMICs at that time. This might limit our findings by excluding articles from countries that have become high income since the study occurred or erroneously including countries that were high income but then reduced their status at the time of the database search; in the former case, we cannot determine the number of potential studies, but for the latter case, we rechecked the World Bank status of all countries and their intervention time periods to ensure this was not occurring. Finally, we tried to group types of interventions based on standard definitions rather than study-specific descriptions that might limit the interpretation of effect size and differ from the original author’s description.

Improving future research

Future alcohol harm reduction intervention studies should use uniform reporting. Studies ranged widely in their intervention type, framework, population, augmentation, or boosters, as well as outcome assessment frequency and timing. Adherence to 1 or 2 sets of standardized outcome reporting measures at a specified time period would greatly improve comparability across time and geographic location, allowing for a meta-analysis of intervention methods. Based on our review, brief interventions using the ASSIST or AUDIT scoring systems are the most widely used and appear to provide the best standardization among outcomes. Overall, future research should include both comparative effectiveness to determine best interventions for LMIC settings but also most effective implementation strategies including target populations.

Conclusions

In conclusion, alcohol harm reduction interventions in LMICs are nonuniform in nature, skewed in geographic regions where applied, and result in uncertain effectiveness over varying time horizons. Feasible options specific to low-income countries are most likely brief interventions and interventions that utilize motivational interviewing techniques. Identifying uniform methods of implementation and assessment of alcohol harm reduction interventions can be a first step toward establishing a set of evidence-based protocols for treatment for low-income settings. Current studies in brief interventions, psychotherapy, and brain stimulation show promise, but have been tested primarily or exclusively in middle-income settings. Feasibility testing in low-income settings, comparative effectiveness testing, and uniform reporting methods are needed to help determine the most effective alcohol harm reduction strategies for low-income settings in order to address this global health crisis.

Search strategy.

(DOCX) Click here for additional data file.

Map of study location and intervention type.

Source: Global Administrative Areas (2022). University of California, Berkely. Available online: http://www.gadm.org [11/03/2022]; https://geodata.ucdavis.edu/gadm/gadm4.0/gadm404-shp.zip. (TIF) Click here for additional data file.

PRISMA Checklist.

PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses. (DOCX) Click here for additional data file. 30 Oct 2019 Dear Dr. Staton, Thank you very much for submitting your manuscript "Interventions to Reduce Alcohol-Related Harm in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary" (PMEDICINE-D-19-02160) for consideration at PLOS Medicine for our upcoming special issue on substance mis/use. Your paper was discussed among the editorial team and sent to independent reviewers, including a statistical reviewer. The reviews are appended at the bottom of this email and any accompanying reviewer attachments can be seen via the link below: [LINK] In light of these reviews, we will not be able to accept the manuscript for publication in the journal in its current form, but we would like to invite you to submit a revised version that fully addresses the reviewers' and editors' comments. You will appreciate that we cannot make a decision about publication until we have seen the revised manuscript and your response, and we expect to seek re-review by one or more of the reviewers. In revising the manuscript for further consideration, your revisions should address the specific points made by each reviewer and the editors. Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments, the changes you have made in the manuscript, and include either an excerpt of the revised text or the location (eg: page and line number) where each change can be found. Please submit a clean version of the paper as the main article file; a version with changes marked should be uploaded as a marked up manuscript. In addition, we request that you upload any figures associated with your paper as individual TIF or EPS files with 300dpi resolution at resubmission; please read our figure guidelines for more information on our requirements: http://journals.plos.org/plosmedicine/s/figures. While revising your submission, please upload your figure files to the PACE digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at PLOSMedicine@plos.org. We hope to receive your revised manuscript within two weeks. 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YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT. You can see our competing interests policy here: http://journals.plos.org/plosmedicine/s/competing-interests. Please use the following link to submit the revised manuscript: https://www.editorialmanager.com/pmedicine/ Your article can be found in the "Submissions Needing Revision" folder. To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see http://journals.plos.org/plosmedicine/s/submission-guidelines#loc-methods. Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it. Please let me know if you have any questions. Otherwise, we look forward to receiving your revised manuscript soon. Sincerely, Richard Turner PhD, for Philippa Berman, MBBS Senior Editor, PLOS Medicine rturner@plos.org ----------------------------------------------------------- Requests from the editors: We ask you to update your search to a date in the last few months. Please restructure the abstract of your paper so that there are three sections: background, methods and findings, and conclusion. The final sentence of the "methods and findings" subsection should summarize the study's main limitations. Please add a sentence, say, to your abstract detailing the interventions that have showed promise in randomized controlled evaluations. After your abstract, we will need to ask you to add a new and accessible "author summary" section in non-identical prose. You may find it helpful to consult one or two recent research papers published in PLOS Medicine to get a sense of the preferred style. Throughout your text, please ensure that reference call-outs fall before punctuation, e.g. "... follow-up [42].". Where you make a claim of "the first", e.g. at line 236, please add "to our knowledge" or similar. In the reference list, please ensure that journal names are abbreviated as appropriate, e.g. "Lancet" rather than "the lancet". Please complete references 50 & 78, and provide additional information for reference 14 & 21 (including URLs if available, along with accessed dates). In figure 1, two boxes contain "(n = )" which we ask you to complete as appropriate. Please adapt the attached PRISMA checklist so that individual items are referred to by section (e.g., "Methods") and paragraph number rather than by line or page numbers, as the latter generally change in the event of publication. Comments from the reviewers: *** Reviewer #1: I confine my remarks to statistical aspects of this paper. The general approach is fine, but I have some issues to resolve before I can recommend publication. Line 45 - No meta-analysis appears to have been done. I think this is the right choice, but it makes this line incorrect. Line 62 - I don't think "standardize" is the right word here. I am not sure what the authors mean. Maybe it is the interventions that need to be standardized? Figure 1 - there are two blanks (e.g. records after duplicates removed). Also, the box for articles excluded that were not RCT should come out of "full text articles assessed". Lastly, I think the bottom box should either get N = 0 or be dropped. Peter Flom *** Reviewer #2: 1) Sorry, but the title and search terms would suggest that all interventions were taken into consideration. This would include the "best buys" (taxation increases, ban on marketing, limitations of availability). Since these interventions have been designated by WHO and others as the most appropriate also in LMIC, I find it curious that they were left out without good reasoning. 2) Where was it stated that the final studies had to be RCTs? This has to be made more explicit. 3) Title and descriptions have to be changed to correspond to the limitations of the actual design. 4) Reference list at times sloppy without page numbers. Also, of course, the searches should have been wider with different data bases, if in the end only individual-based interventions were selected. 5) Minor point: status of WB classification should be mid-term of the interventions and not date of publication. Final point: while the authors are technically right to indicate the different measurement of outcome, the variance for ALL measures is de facto determined by QF by > 60% -> this means Z-standardization and meta-analysis would be possible. *** Reviewer #3: Comments: Minor Revision This paper represents a carefully done systematic review of mostly clinical studies for alcohol treatment. The introduction makes a compelling case for the importance of reviewing what is available of effective individual-level interventions, given the importance of reducing hazardous drinking. This could be a great compendium to be used as a resource. There are however some important areas that need to be addressed to make a significant contribution. First, the abstract and introduction should not have categorized the study as a meta-analysis but rather as a systematic review. Second, the title should clarify that this systematic review is not of all types of interventions as stated in the introduction ("review and describe the current published literature on alcohol interventions in LMICs") but rather limited to a certain group of interventions. The Discussion section should clarify that many other types of interventions are excluded (i.e. policy, social marketing) from the review, including population-based interventions. Third, the criteria and words used for the search do not explicitly say that they had to be randomized trials, or the wording to only include brief interventions, health education, medication, psychotherapy, or brain stimulation studies. How did the authors decide on these types of interventions? Nor do the authors state why other types of studies were excluded. The abstract says all languages were included but state that "we found no manuscripts in other languages." Could it be due to the data sources included? Given the large body of studies in South America, this seem as a surprise. Fourth, Figure 1 needs to be revised because there is missing information (n=?). Other concerns deal with the constant shift describing settings (where the interventions were done), type of population served by the interventions, without acknowledging whether the content of the alcohol intervention component of the interventions differed. At other times, when describing the studies, more detail was provided of the content but again there was a constant shift in what of the interventions was being described (i.e. setting, population, content, type of evaluation, format of the intervention, results of the intervention, country where the intervention was conducted, time of the assessment). This made following the results of the systematic review extremely cumbersome. A more consistent approach to describing the studies is necessary to help guide the reader. The idea that a nurse can deliver the intervention and "even" be effective seems to undermine the value of nurses. Can the authors justify? The writing in some sections also seems choppy (lines 203-205, 218 and others) and sometimes unclear. For example, what do the authors mean by: "psychotherapy or counseling most frequently utilized a blend of theoretical bases"; "limited standardization for outcomes across studies"; "wide variability in the metric of improvement chosen"; "standardization of outcome measures as well as designing interventions"; or "augmentation with additional types of treatment"? Also unclear was why in some sections the authors of the interventions are mentioned but not in other sections, seemingly as if different sections of the paper were written by different authors. The Discussion section should specify why the authors focused on alcohol harm reduction interventions, which is only stated at the end of the synthesis but not mentioned as a term in the search for topics. *** Any attachments provided with reviews can be seen via the following link: [LINK] Submitted filename: Reviewer 3 Comments D-19-02160.docx Click here for additional data file. 8 Jan 2020 Submitted filename: Plos Med Rebuttal Letter.pdf Click here for additional data file. 20 Dec 2020 Dear Dr. Staton, Thank you very much for submitting your revised manuscript "Interventions to Reduce Alcohol-Related Harm in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary" (PMEDICINE-D-19-02160R1) for consideration at PLOS Medicine. We do apologize for the long delay in sending you a decision. Your paper was evaluated by the editors and re-seen by our reviewers, including a statistical reviewer. The reviews are appended at the bottom of this email and any accompanying reviewer attachments can be seen via the link below: [LINK] Considering these reviews, we will not be able to accept the manuscript for publication in the journal in its current form, but we would like to invite you to submit a further revised version that fully addresses the reviewers' and editors' comments. You will recognize that we cannot make a decision about publication until we have seen the revised manuscript and your response, and we may seek re-review by one or more of the reviewers. In revising the manuscript for further consideration, your revisions should address the specific points made by each reviewer and the editors. Please also check the guidelines for revised papers at http://journals.plos.org/plosmedicine/s/revising-your-manuscript for any that apply to your paper. In your rebuttal letter you should indicate your response to the reviewers' and editors' comments, the changes you have made in the manuscript, and include either an excerpt of the revised text or the location (eg: page and line number) where each change can be found. Please submit a clean version of the paper as the main article file; a version with changes marked should be uploaded as a marked up manuscript. In addition, we request that you upload any figures associated with your paper as individual TIF or EPS files with 300dpi resolution at resubmission; please read our figure guidelines for more information on our requirements: http://journals.plos.org/plosmedicine/s/figures. While revising your submission, please upload your figure files to the PACE digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at PLOSMedicine@plos.org. We hope to receive your revised manuscript after the holidays. Please email us (plosmedicine@plos.org) if you have any questions or concerns. ***Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.*** We ask every co-author listed on the manuscript to fill in a contributing author statement, making sure to declare all competing interests. If any of the co-authors have not filled in the statement, we will remind them to do so when the paper is revised. If all statements are not completed in a timely fashion this could hold up the re-review process. If new competing interests are declared later in the revision process, this may also hold up the submission. Should there be a problem getting one of your co-authors to fill in a statement we will be in contact. YOU MUST NOT ADD OR REMOVE AUTHORS UNLESS YOU HAVE ALERTED THE EDITOR HANDLING THE MANUSCRIPT TO THE CHANGE AND THEY SPECIFICALLY HAVE AGREED TO IT. You can see our competing interests policy here: http://journals.plos.org/plosmedicine/s/competing-interests. Please use the following link to submit the revised manuscript: https://www.editorialmanager.com/pmedicine/ Your article can be found in the "Submissions Needing Revision" folder. To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see http://journals.plos.org/plosmedicine/s/submission-guidelines#loc-methods. Please ensure that the paper adheres to the PLOS Data Availability Policy (see http://journals.plos.org/plosmedicine/s/data-availability), which requires that all data underlying the study's findings be provided in a repository or as Supporting Information. For data residing with a third party, authors are required to provide instructions with contact information for obtaining the data. PLOS journals do not allow statements supported by "data not shown" or "unpublished results." For such statements, authors must provide supporting data or cite public sources that include it. Please let me know if you have any questions. Otherwise, we look forward to receiving your revised manuscript soon. Sincerely, Richard Turner, PhD Senior Editor, PLOS Medicine rturner@plos.org ----------------------------------------------------------- Requests from the editors: Please finalize the arrangements for data deposition. Please update the search to a date in the last 3 months. Please quote the date of the search in the abstract. Also, please quote the proportions of studies carried out in the different country categories - low-income countries, etc. We suggest adding "people in" at line 37. Please revisit the phrasing at line 61, where the second "that" should perhaps be removed. It seems that motivational interviewing interventions fall into both the "brief interventions" and "psychotherapy" categories. Please detail the key differences underlying these categorizations. At line 128, please refer to the attached checklist (e.g., "See S1_PRISMA_Checklist") and rename the attachment to match. Throughout the text, please remove spaces from within the reference call-outs, e.g., " control arms equally [26,71].". Please remove the information on financial disclosures from the end of the main text. In the event of publication, this information will appear in the article metadata via information provided in the submission form. In the reference list, please use journal name abbreviations, e.g., "PLoS Med.", consistently. Please spell out fully the institutional author name for reference 3 and any other relevant references. Please ensure that all references contain full access details, e.g., reference 9. We did not find supplementary table 1 with the paper - please ensure that this is provided with your resubmission. Comments from the reviewers: *** Reviewer #1: The authors have addressed my concerns and I now recommend publication Peter Flom *** Reviewer #2: While the review improved substantially, I still see problems with this revised version (Referring to the version marked): 1) The new title is: "Patient-level Interventions to Reduce Alcohol-Related Harm ... Sorry but brief interventions by definition are not directed at patients -> see WHO manual on brief interventions. 2) The interventions are now dichotomized at 'brief interventions' and biological treatment. Most treatment interventions are not biological but talk therapy. 3) This reviewer is still concerned with the lack of a meta-analysis, which would be possible. 4) The references continue to be sloppy and old. I just consider the first 6 with comments as examples: 1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet. 2012;380(9859):2224-60. This is an arbitrary citation. There have been several updates, currently to GBD 2017, and next week to GBD 2018 (all in Lancet). 2. Rehm J, Samokhvalov AV, Neuman MG, Room R, Parry C, Lonnroth K, et al. The association between alcohol use, alcohol use disorders and tuberculosis (TB). A systematic review. BMC Public Health. 2009;9:450. There would be newer overviews by Imtiaz and colleagues. 3. Organization WH, Unit WHOMoSA. Global status report on alcohol and health, 2014: World Health Organization; 2014. This citation two problems: the treatment of WH in WHO as names, and again, the last Global status report is from 2018. 4. WHO Expert Committee on Problems Related to Alcohol Consumption. Second report. World Health Organ Tech Rep Ser. 2007(944):1-53, 5-7, back cover. Not sure, what the 1-53, 5-7, back cover should indicate to the reader. 5. Moss HB. The impact of alcohol on society: a brief overview. Social work in public health. 2013;28(3-4):175-7. 6. Chisholm D, Rehm J, Van Ommeren M, Monteiro M. Reducing the global burden of hazardous alcohol use: a comparative cost-effectiveness analysis. Journal of studies on alcohol. 2004;65(6):782-93. This reference has been updated with important examples from low- and middle income countries on the generalized cost-effectiveness of the interventions dealt with in the publication: Chisholm, D., Moro, D., Bertram, M., Pretorius, C., Gmel, G., Shield, K., & Rehm, J. (2018). Are the "best buys" for alcohol control still valid? An update on the comparative cost-effectiveness of alcohol control strategies at the global level. Journal of Studies on Alcohol and Drugs, 79(4), 514-522. doi:10.15288/jsad.2018.79.514 *** Reviewer #3: Comments of Reviewer #3: This papers has been drastically improved and can be informative of the literature available on patient-level alcohol-related interventions in low and middle income countries. I do have a series of comments that require final attention. Please pass speller to ensure that there are no typographical errors such as "analyses". The abstract and highlights of the study indicate that the most consistently positive results were brief interventions. "Brief interventions" does not qualify what types of interventions or define it. There is a plethora of brief interventions so the reader needs to have a more concrete picture to what types of interventions. Please use the definition in lines 198-200 to specify what you mean from the beginning of the manuscript. Given the absence of conclusive evidence of effective alcohol interventions in LMIC, is it adequate to recommend "further evaluations should focus on the most effective implementation strategies in low- and middle-income settings?" Or should it be on testing the comparative effectiveness of these brief interventions in different LMIC contexts to determine what works for whom and under what conditions? This is particularly important since the authors state that most studies are "limited to middle-income settings" and that "lack of uniformity compromised our ability to discern the effectiveness of interventions." There is some confusion in stating that meta-analyses and systematic reviews were excluded, and then saying that there were no systematic reviews or meta-analysis in LMIC. Which of the two is it? It cannot be both. The statement in line 142 "Studies which had the same population represented had the most recent data included in the review" is not clear. Please clarify if what you mean is that if two studies used the same data, the most recent study was selected for representation. Please clarify what you mean by "No studies were excluded for language" bit then authors state "the datasets we have searched are not extensive enough to include non-English language articles." In lines 304-305, it is unclear if the arms are intervention arms and the comparison is across different treatments or across a treatment and a control arm. Please specify. Finally, some sentences need to be rephrase for clarity: "Given infrastructure in low-income settings 410 has even more limited mental health and substance abuse facilities and professionals, and 411 greater associated stigma; implementation of this kind of intervention is still potentially 412 unfeasible." Overall, this manuscript has great potential to be of interest to readers of the journal but requires further attention. *** Any attachments provided with reviews can be seen via the following link: [LINK] 10 Feb 2021 Submitted filename: SecondPlos Med Rebuttal Letter F.docx Click here for additional data file. 22 Feb 2022 Dear Dr. Staton, Thank you very much for re-submitting your manuscript "Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary" (PMEDICINE-D-19-02160R2) for consideration at PLOS Medicine. We do apologize for the long delay in sending you a response. We have discussed the paper with our academic editor and I am pleased to tell you that, provided the remaining editorial and production issues are fully dealt with, we expect to be able to accept the paper for publication in the journal. The remaining issues that need to be addressed are listed at the end of this email. 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Please note, when your manuscript is accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you've already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosmedicine@plos.org. Please let me know if you have any questions, and we look forward to receiving the revised manuscript. Sincerely, Richard Turner, PhD Senior Editor, PLOS Medicine rturner@plos.org ------------------------------------------------------------ Requests from Editors: Please remove the information on data availability from the end of the main text: this should be detailed in the submission form (to appear in the article metadata in the event of publication). We were unable to open the specified file, and it may be that some additional information is needed. In line 2 of the abstract, please adapt the text to "... have been shown to reduce alcohol use" or similar. In the abstract, please adapt the sentence summarizing study numbers to "These RCTs evaluated ...". We feel that a few words need to be added to the abstract to explain the nature of "brief interventions". One way to achieve this would be to add a new sentence immediately after that beginning "These RCTs evaluated ..." in which you give 1-2 examples of each category of intervention (e.g., "Brief interventions included ..."). Please adapt the text "Due to high heterogeneity of intervention types ..." in the abstract to state that a meta-analysis was not carried out for this reason (removing that point from the final sentence of the "Methods and findings" subsection). In the first point of the Author summary, please make that "high rates" or similar (to avoid the implied comparison of "higher"). In the second point, please adapt the wording of the second point to "In order to investigate the potential for a patient-level intervention ..." or similar. At the end of the Introduction, please move the PICOS sentence to early in the Methods section. In the methods section, under "Study selection", it may be helpful to add a few words to clarify the meaning of "six pairs of reviewers" (followed by 11 sets of initials), e.g., "from" the specified individuals; similarly, the "third reviewer" might be "DG or CS". In the results section, under "Brief interventions", please avoid "wasn't". In the results section, under "Biomedical treatments", please correct the apparently broken reference (Correa, 2013). Noting reference 12, please remove the information on version from the citation. Noting reference 15, please remove all iterations of "[Internet]" from the reference list. In reference 29, please reverse the current order of study group name and title. We suggest adapting the title of table 1 to "All randomized controlled studies (75)". Please convert figure 2 to a supplementary figure. Please confirm that the map in figure 2 can be published under a CC-BY licence (in principle permitting commercial re-use). *** 28 Feb 2022 Submitted filename: 3rd rebuttle letter.docx Click here for additional data file. 9 Mar 2022 Dear Dr Staton, On behalf of my colleagues and the Academic Editor, Dr Alegria, I am pleased to inform you that we have agreed to publish your manuscript "Patient-level Interventions to Reduce Alcohol-Related Harms in Low- and Middle-Income Countries: a Systematic Review and Meta-Summary" (PMEDICINE-D-19-02160R3) in PLOS Medicine. Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Once you have received these formatting requests, please note that your manuscript will not be scheduled for publication until you have made the required changes. In the meantime, please log into Editorial Manager at http://www.editorialmanager.com/pmedicine/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production process. PRESS We frequently collaborate with press offices. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximise its impact. If the press office is planning to promote your findings, we would be grateful if they could coordinate with medicinepress@plos.org. If you have not yet opted out of the early version process, we ask that you notify us immediately of any press plans so that we may do so on your behalf. We also ask that you take this opportunity to read our Embargo Policy regarding the discussion, promotion and media coverage of work that is yet to be published by PLOS. As your manuscript is not yet published, it is bound by the conditions of our Embargo Policy. Please be aware that this policy is in place both to ensure that any press coverage of your article is fully substantiated and to provide a direct link between such coverage and the published work. For full details of our Embargo Policy, please visit http://www.plos.org/about/media-inquiries/embargo-policy/. To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Thank you again for submitting to PLOS Medicine. We look forward to publishing your paper. Sincerely, Richard Turner, PhD Senior Editor, PLOS Medicine rturner@plos.org
  91 in total

1.  Brief motivational interview and educational brochure in emergency room settings for adolescents and young adults with alcohol-related problems: a randomized single-blind clinical trial.

Authors:  Maria Luiza Segatto; Solange Andreoni; Rebeca de Souza e Silva; Alessandra Diehl; Ilana Pinsky
Journal:  Braz J Psychiatry       Date:  2011-09       Impact factor: 2.697

2.  RCT of effectiveness of motivational enhancement therapy delivered by nurses for hazardous drinkers in primary care units in Thailand.

Authors:  Sairat Noknoy; Ram Rangsin; Pichai Saengcharnchai; Usa Tantibhaedhyangkul; Jim McCambridge
Journal:  Alcohol Alcohol       Date:  2010-03-17       Impact factor: 2.826

Review 3.  Comparative cost-effectiveness of policy instruments for reducing the global burden of alcohol, tobacco and illicit drug use.

Authors:  Dan Chisholm; Chris Doran; Kenji Shibuya; Jürgen Rehm
Journal:  Drug Alcohol Rev       Date:  2006-11

4.  Efficacy of acamprosate in the treatment of alcohol-dependent outpatients.

Authors:  Danilo Antonio Baltieri; Arthur Guerra de Andrade
Journal:  Braz J Psychiatry       Date:  2003-09       Impact factor: 2.697

5.  Prefrontal cortex modulation using transcranial DC stimulation reduces alcohol craving: a double-blind, sham-controlled study.

Authors:  Paulo S Boggio; Natasha Sultani; Shirley Fecteau; Lotfi Merabet; Tatiana Mecca; Alvaro Pascual-Leone; Aline Basaglia; Felipe Fregni
Journal:  Drug Alcohol Depend       Date:  2007-07-19       Impact factor: 4.492

6.  Gabapentin reduces alcohol consumption and craving: a randomized, double-blind, placebo-controlled trial.

Authors:  Fernando A Furieri; Ester M Nakamura-Palacios
Journal:  J Clin Psychiatry       Date:  2007-11       Impact factor: 4.384

7.  A randomized clinical trial of a group cognitive-behavioral therapy to reduce alcohol use among human immunodeficiency virus-infected outpatients in western Kenya.

Authors:  Rebecca K Papas; Benson N Gakinya; Michael M Mwaniki; Hana Lee; Alfred K Keter; Steve Martino; Debra A Klein; Tao Liu; Michelle P Loxley; John E Sidle; Kathryn Schlaudt; Tobista Nafula; Victor M Omodi; Joyce B Baliddawa; Daniel W Kinyanjui; Stephen A Maisto
Journal:  Addiction       Date:  2020-07-13       Impact factor: 6.526

8.  Prevention of alcohol consumption and transmission of human immunodeficiency virus: randomized clinical trial.

Authors:  Martha Dalila Mendez-Ruiz; Miguel Angel Villegas-Pantoja; Nohemí Selene Alarcón-Luna; Natalia Villegas; Rosina Cianelli; Nilda Peragallo-Montano
Journal:  Rev Lat Am Enfermagem       Date:  2020-05-11

9.  Effectiveness of the Common Elements Treatment Approach (CETA) in reducing intimate partner violence and hazardous alcohol use in Zambia (VATU): A randomized controlled trial.

Authors:  Laura K Murray; Jeremy C Kane; Nancy Glass; Stephanie Skavenski van Wyk; Flor Melendez; Ravi Paul; Carla Kmett Danielson; Sarah M Murray; John Mayeya; Francis Simenda; Paul Bolton
Journal:  PLoS Med       Date:  2020-04-17       Impact factor: 11.069

10.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

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