Literature DB >> 32676190

A narrative systematic review of tobacco cessation interventions in Sub-Saharan Africa.

Nasheeta Peer1,2, Ashika Naicker3, Munira Khan4, Andre-Pascal Kengne1,2.   

Abstract

AIM: In the face of increasing tobacco consumption in Sub-Saharan Africa, it is crucial to not only curb the uptake of tobacco, but to ensure that tobacco users quit. Considering the minimal attention that tobacco cessation interventions receive in Sub-Saharan Africa, this review aims to describe studies that evaluated tobacco cessation interventions in the region.
METHODS: A search of studies published till December 2019 that evaluated tobacco cessation interventions in Sub-Saharan Africa and examined tobacco quit rates was conducted in PubMed-Medline, Web of Science and Scopus. Study designs were not limited to randomised control trials but needed to include a control group.
RESULTS: Of the 454 titles and abstracts reviewed, eight studies, all conducted in South Africa, were included. The earliest publication was from 1988 and the most recent from 2019. Five studies were randomised control trials, two were quasi-experimental and one was a case-control study. Populations studied included community-based smokers (four studies) and university students, while the relevant clinic-based studies were conducted in pregnant women, tuberculosis patients and HIV-infected patients. Sample sizes were 23 in the case-control study, 87-561 in randomised control trials, and 979 (pregnant women) and 4090 (three rural communities) in the quasi-experimental studies. Four studies included nicotine replacement therapy in the interventions while four utilised only psychotherapy without adjunct pharmacotherapy. Quit rates were evaluated by exhaled carbon monoxide levels (five studies), blood carbon monoxide, urinary cotinine levels and self-reported quit rates. Four studies (two each with and without pharmacotherapy) reported significantly better outcomes in the intervention versus the control groups while one study findings (without pharmacotherapy) were significant in women but not men.
CONCLUSION: This review highlights that scant attention has been paid to tobacco cessation intervention in Sub-Saharan Africa. The heterogeneity of these studies precluded comparisons across interventions or populations. There is a need for evidence-based low-cost tobacco cessation intervention that target high-risk population in Sub-Saharan Africa.
© The Author(s) 2020.

Entities:  

Keywords:  South Africa; Sub-Saharan Africa; Tobacco cessation interventions; quit rates; smoking; tobacco use

Year:  2020        PMID: 32676190      PMCID: PMC7340350          DOI: 10.1177/2050312120936907

Source DB:  PubMed          Journal:  SAGE Open Med        ISSN: 2050-3121


Introduction

Tobacco is the leading preventable cause of mortality globally contributing to cancer, cardiac disease, stroke, chronic lung diseases and other non-communicable diseases.[1] It accounts for more than eight million deaths annually. In addition, tobacco smoking exacerbates tuberculosis and HIV infection leading to poorer outcomes.[2] Consequently, stopping tobacco use is among the single most effective lifestyle measure to improve health. Substantial evidence shows that smoking cessation reduces mortality from tobacco-related diseases and improves health.[3] Unfortunately, smoking is a powerful addiction and despite numerous quit attempts, many individuals who smoke frequently fail to stop smoking, during which time they are unfortunately losing life-years.[1,4] Smoking cessation programmes are therefore necessary to provide the support required for smokers to quit.[5] The World Health Organisation (WHO) has emphasised the importance of providing support for tobacco cessation in its MPOWER measures, which is a practical tool proposed to reduce tobacco use; the ‘O’ is to ‘offer help to quit tobacco use’.[2] Effective tobacco cessation interventions (TCI) have shown to greatly increase the likelihood of successfully quitting tobacco. The probability of successful quitting can be doubled with the use of proven cessation medications and professional support. Therefore, providing access to and encouraging the use of tobacco cessation services should be a critical component of any tobacco control strategy.[2] In 2011, The Lancet Non-Communicable Disease (NCD) Action Group and the NCD Alliance identified tobacco control as the ‘most urgent and immediate priority’ intervention to reduce NCDs,[6] with this tenet echoed at the United Nations High-level meeting on NCDs in the same year.[7] To reduce the global smoking prevalence by 30% by 2025 from a 2010 baseline, countries were urged to fully implement the WHO Framework Convention on Tobacco Control (WHO FCTC). As described in the WHO FCTC Article 14,[1] tobacco cessation is a cost-effective healthcare intervention, and governments and healthcare providers need to provide resources and improve access to programmes to help tobacco users quit. Furthermore, tobacco control is increasingly considered a vital element for human development because tobacco use contributes to poverty on multiple fronts. These include the cost of purchasing tobacco, healthcare costs for treatment of tobacco-related diseases, and the loss of human capital from tobacco-attributable morbidity and mortality.[2] Consequently, curbing tobacco use has been recognised as important in promoting sustainable development and incorporated within the Sustainable Development Goals (SDGs) 2030 agenda. Comprehensive tobacco cessation measures are among the key initiatives required to achieve the SDG targets on tobacco control.[2] Nevertheless, tobacco use is rising in some countries, especially among vulnerable groups such as women and the youth. This is true in Sub-Saharan Africa (SSA), where the tobacco industry concertedly targets these vulnerable groups.[8] Therefore, in the face of increasing tobacco consumption on the continent, including in women and the youth, it is crucial to not only curb the uptake of tobacco, but it is also essential to ensure that tobacco users quit. There are highly effective and inexpensive TCI that are recommended even in resource-constrained settings such as SSA.[2] A small window of opportunity currently exists, particularly in developing regions, to reverse these trends and decrease the epidemic of tobacco-related morbidity and mortality, given the long delay between smoking uptake and the development of disease.[3,9] Therefore, the aim of this systematic review was to examine studies that evaluated TCI in SSA countries.

Methodology

Sources of information and selection of eligible studies

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) framework was used for reporting this review,[10] while the Cochrane Handbook for Systematic Reviews of Interventions, version 6.0, was applied when conducting the review.[11] A search of PubMed-Medline, Scopus and Web of Science was conducted of literature published till 5 December 2019. Relevant studies that evaluated TCI in SSA and examined tobacco/smoking quit rates or reductions in tobacco use/smoking were evaluated for inclusion. Study designs were not limited to randomised control trials (RCTs) but needed to include a control group. Key search terms included ‘tobacco cessation’ OR ‘smoking cessation’ OR ‘quit smoking’ OR ‘quit tobacco’ OR ‘stop smoking’ AND ‘Africa’ OR ‘sub-Saharan Africa’. For example, the search string used in PubMed-Medline was as follows: (‘tobacco cessation’ OR ‘smoking cessation’ OR ‘quit smoking’ OR ‘quit tobacco’ OR ‘stop smoking’) AND ( ‘Africa’ OR ‘sub-Saharan Africa’).

Data collection, extraction, assessment and synthesis

Two authors (N.P., A.N. or N.P., M.K.) sequentially screened titles, abstracts and then full texts for inclusion (Figure 1). The literature was screened for any paper that evaluated a tobacco cessation programme in SSA. The outcome examined was tobacco/smoking cessation/reduction in the intervention and control groups following the evaluation of the intervention (differences in prevalence). The outcomes used were those defined in the included studies and comprised self-reported tobacco use/abstinence or biochemically verified changes (urinary cotinine, or blood or exhaled carbon monoxide (CO) levels). In multi-country studies, data pertaining to SSA needed to be specifically reported. Any disagreements regarding the included papers were resolved through discussion or reviewed by a third author (A.P.K.). The reasons for excluding studies were also recorded.
Figure 1.

Preferred reporting items for systematic reviews and meta-analysis (PRISMA) diagram.

Preferred reporting items for systematic reviews and meta-analysis (PRISMA) diagram. The data extracted from the selected studies included variables relating to the study design and setting, sample size, participant characteristics, the intervention, training of counsellors, assessments done, and outcomes evaluated. Data extraction was done by one author (N.P.), and another author (A.N.) verified the accuracy and validity of the extracted data. A risk of bias assessment was also conducted using the Cochrane risk of bias assessment tool for RCTs[11] and the Risk Of Bias In Non-Randomised Studies – of interventions (ROBINS-I) tool for the other included studies.[12]

Statistical analyses

The heterogeneity of the included studies precluded comparisons across interventions or populations. Therefore, a meta-analysis could not be conducted. A qualitative description of the studies, interventions and outcomes are instead presented.

Results

There were 645 titles retrieved and after removal of duplicates, 452 titles remained (Figure 1). An additional two titles were retrieved after personal communication with the authors, resulting in a total of 454 titles being reviewed. Twenty-seven full texts were evaluated for eligibility and eight, including a conference abstract, were selected for this review. The methodological details of the latter study were obtained from a qualitative paper on the same study.[13]

Study settings, designs, populations and sample sizes of included studies

All eight included studies were from South Africa with five studies conducted solely in the Western Cape Province of the country[14-18] (Tables 1 and 2). A study each was conducted in Tshwane[19] and Klerksdorp[20] while a single study was multicentred with sites in Cape Town, Johannesburg and Durban.[21] Seven studies included both men and women, and a single study was conducted in pregnant women.[18]
Table 1.

Overview of included studies that utilised nicotine replacement therapy (with or without psychotherapy).

First author, yearBaddeley, 1988[14]Schuurmans, 2004[17]Koegelenberg, 2014[21]Golub, 2017[20]
Study locationCape Town, South AfricaCape Town, South Africa7 centres in Cape Town, Johannesburg, and Durban, South AfricaKlerksdorp, South Africa
Year/s conductedNot providedNot provided2011–20122016
AimTo compare the effectiveness of 2 mg nicotine gum together with group psychological support vs. psychological treatment only, in matched groups of heavy smokers who were motivated to stopTo determine whether 2 weeks of pre-treatment with nicotine patches affected withdrawal symptoms or smoking cessation success rate of subsequent nicotine patch useTo assess the efficacy and safety of using varenicline with a nicotine patch compared with varenicline alone for smoking cessationTo compare smoking cessation in HIV-infected patients randomised to intensive anti-smoking counselling alone vs. counselling and NRT patches and gum
Setting and populationSmokers from the general populationHealthy smokers from the general populationCommunity-based relatively healthy smokersHIV-infected patients attending three HIV clinics
Study designCase–control cohort; participants matched for sex, number of cigarettes smoked/day, number of years of smoking, and number of attempts to stopDouble-blind randomised controlled trial with parallel groupsRandomised, blinded, placebo-controlled clinical trialRandomised control trial
Inclusion criteriaHeavy smokers who were motivated to stop smoking⩾18-year-old healthy smokers, daily cigarette consumption ⩾15 for >3 years, exhaled CO >10 parts per million (ppm) and ⩾1 quit attempt(s) in the last 12 months18- to 75-year-old smokers who sought assistance for smoking cessation, had smoked ⩾10 cigarettes/day during the previous year and month, and had not stopped smoking for >3 months in the past yearSelf-reported HIV-infected smokers interested in quitting; smoking status confirmed on urinary cotinine
Recruitment strategyVolunteers responded to English and Afrikaans adverts in the local pressVolunteers responded to adverts in local English and Afrikaans newspapersNot describedNot described
InterventionNicotine gum as desired (self-provided) and group psychological supportPre-treatment for 2 weeks: 15 mg active nicotine-patch. From quit date onwards: active patch of 15 mg/16 h for 8 weeks followed by 10 and 5 mg for 2 weeks eachNicotine-patch treatment commenced 2 weeks before target quit date and continued for a further 12 weeks. Varenicline for 12 weeks10 weeks of nicotine patches and gum together with counselling
ControlGroup psychological support onlyPre-treatment for 2 weeks: placebo patch. From quit date onwards: active patch of 15 mg/16 hours for 8 weeks followed by 10 mg and 5 mg for 2 weeks eachPlacebo patch treatment commenced 2 weeks before target quit date and continued for a further 12 weeks; varenicline for 12 weeksCounselling only at Day 0, 2 weeks, 4 weeks, 2 months, 3 months and 6 months
Counselling receivedSix session multicomponent programme on behaviour modification20 minutes of counselling at each of six visits and 10–15 min counselling by study doctor at screening visit10 minutes of smoking cessation counselling based on the 2008 US Public Health Service guidelines update was provided to all participants at each visit. Weekly visits for 4 weeks, then 4-weekly × three visitsSix counselling sessions lasting about 20 minutes using the 5As model of the National Cancer Institute; topics covered included health effects of smoking and coping mechanisms to deal with triggers
Duration of intervention and follow-up3-week programme; assessed thereafter at 6 weeks and 6 months2 weeks pre-treatment, then quit date to 6 months26 weeks: 2 weeks prior to quit date, 12 week treatment period and further 12 week follow-up; 6 month assessment10 week NRT and regular counselling up to 6 months
Selection and training of counsellorsDetails of counsellors or the training they received was not providedCounsellors were experienced nurses from the smoking cessation clinic; details of training were not providedDetails of counsellors or the training they received was not providedDetails of counsellors or the training they received was not provided
Primary outcomeSmoking abstinence verified biochemicallySeverity of withdrawal symptomsComplete abstinence from smoking for the last 4 weeks of treatmentStopped smoking at 6 month follow-up visit
Secondary outcomesNot describedSustained abstinence at 26 weeksPoint-prevalence abstinence at 6 months; continuous abstinence rate for weeks 9–24; incidence of adverse eventsNot described
Assessment of outcomesBlood carbon monoxide (CO) levelsPrimary outcome: Wisconsin scale; Secondary outcome: exhaled COBiochemically validated exhaled COBiochemically verified CO breath test, and urine cotinine for TB patients on isoniazid
Frequency of assessmentsBaseline, 6 weeks and 6 monthsQuit date, 2, 6, 10 and 26 weeksWeek 9 to 12 of commencing intervention6 month follow-up visit
Sample size23 in total; intervention: 12control: 11200 in total; 100 participants per arm435 in total; intervention: 216; control: 219561 in total; intervention: 280; control: 281
Gender distributionNumber of men to women: intervention: 6:6, control: 7:4n = 200, 45% femaleintervention: men: n = 87 (39.2%); control: men: n = 84 (37.5%)Women: 22%
Age (years) of participantsIntervention: 45.8 ; control: 46.5 Intervention: 43.2 ± 10.3;Control: 43.7 ± 10.8Mean (SD): intervention: 46.6 (11.9); control: 46.1 (11.9)Median age: 37  (IQR: 31–46)
ResultsAbstinence rates at 6 months: intervention: 6/12 (50%); control: 3/11 (27%); p = 0.246Primary outcome: no significant difference in withdrawal symptoms; secondary outcome: sustained abstinence at 6 months: overall: 17% (n = 34); intervention: 22% (n = 22); control: 12% (n = 12); p = 0.03Continuous abstinence rate higher with combination treatment at 12 weeks (55.4%vs 40.9%; OR, 1.85; 95% CI, 1.19–2.89; p = 0.007) and 24 weeks (49.0% vs 32.6%; OR, 1.98; 95% CI, 1.25–3.14; p = 0.004); 6 month point-prevalence abstinence rate (65.1% vs 46.7%; OR, 2.13; 95% CI, 1.32–3.43; p = 0.002)Quit smoking at 6 months: Counselling + NRT vs. counselling alone: 16.4% vs. 14.6%, p = 0.640).
ConclusionsNo significant difference in smoking quit rates in the intervention (psychological treatment and nicotine gum) and control (psychological treatment only) groupsNicotine-patch pre-treatment, that is, 2 weeks before quit date increased sustained abstinence rates significantly at 6 months in intervention vs. control group but did not reduce early withdrawal symptomsNRT added to varenicline was more effective than varenicline alone at attaining tobacco abstinence at 12 weeks (end of treatment) and at 6 monthsNo increase in smoking cessation in HIV-infected participants who received NRT compared to those who did not

NRT: nicotine replacement therapy; CO: carbon monoxide; IQR: interquartile range; OR: odds ratio; CI: confidence interval.

Table 2.

Overview of included studies that utilised only psychotherapy without adjunct pharmacotherapy.

First author, yearSteenkamp, 1991[16]Everett-Murphy, 2010[18]Louwagie, 2014[19]Hofmeyr, 2019[15]
Study locationSwellendam, Robertson and Riversdale in south-western Cape, South AfricaCape Town, South AfricaTshwane, South AfricaUCT, Cape Town, South Africa
Years conducted1979–19832006–20072011–20132017–2018
AimTo reduce smoking rates in two communities through HII and LII compared with no interventionTo evaluate the impact of brief smoking cessation counselling on quit rates in pregnant smokers attending public sector antenatal clinicsTo determine the efficacy of brief MI, administered by LHWs, to assist with tobacco cessation in TB patients who smokedTo evaluate a CM smoking cessation programme vs. only information and monitoring in treatment-seeking student smokers
Setting and populationGeneral population of three rural communitiesPregnant women who smoked and attended one of four public sector antenatal clinics managed by midwivesNewly diagnosed TB patients who attended one of six primary care TB clinicsUCT students who currently smoked
Study designQuasi-experimental prospective clinical trial with cross-sectional surveys conducted before and after a 4 year intervention programme (1979 and 1983); anti-smoking trial was part of the CORIS studyQuasi-experimental with a natural history cohort and an intervention cohortMulti-centre two-group parallel individual randomised controlled trialRandomised control trial
Inclusion criteria15- to 64-year-old residents of the selected areas; for HII, a smoker defined as smoking at least 1 cigarette or 1 g of tobacco per dayMixed ethnic descent pregnant women (<24 weeks gestation) of low socioeconomic status who smoked⩾18-year-old current smokers newly diagnosed with TB or on TB treatment for <1 month⩾18-year-old students who were current smokers; lifetime smoking of at least 100 cigarettes; had smoked in the last 10 h; smoked at least five cigarettes a day; reported an interest in quitting smoking and taking part in a smoking cessation programme; and had a CO in expired air reading of ⩾8 parts per million (ppm)
Recruitment strategyRecruited using an intensive postal campaignControl group: all self-reporting smokers who were registered at the clinics between February and November 2006 Intervention group: registered at the same clinics, but a year later, between February and November 2007Newly diagnosed adult TB patients were screened for smoking status using a baseline questionnaire, with current smokers identified by LHWsPotential participants contacted via email sent to all students through UCT’s central mailing list. Interested students completed an online questionnaire; eligible students invited for in-person interviews and CO measurement. Eligible students who signed up randomised to treatment or control group using computer-generated stratified random assignment
InterventionHII and LII: multiple risk factor interventions to prevent CHD, that is, CHD risk factor education and mass media programme using posters, billboards, mailing and local newspapers targeting the whole community; HII only: interpersonal intervention for high-risk individuals, such as smokersSmoking cessation intervention, incorporating the ACOG 5As best practice guidelines included brief counselling by midwives and peer counsellors; self-help Quit Guide booklet provided; posters summarising the 5As hung in examination roomsSame as control below and participants received brief MI session of 15–20 min from the LHWsParticipants received information and monitoring, plus CM. CM involved the timeline follow back method where smoking behaviour in the 7 days prior to the session was examined. It is a calendar-based method that asks individuals to retrospectively estimate, and complete on a calendar, their tobacco use in the period prior to the interview date
ControlNilUsual careParticipants received a short, standardised smoking cessation message of four sentences from the TB nurse and ‘Smoking cessation in tuberculosis services smoking cessation’ booklet supplied by the National Council Against Smoking of South AfricaParticipants received an aid-to-quit information document to help them quit smoking; their quit attempts were monitored
Counselling receivedOnly for HII group; not describedOnly intervention group: ACOG 5As brief smoking cessation counselling with MI principles linked to each stepControl group: four sentences; intervention group: MIOnly intervention group: CM
Duration and frequency of intervention4 years; duration and frequency of HII not describedDuration and frequency of intervention not describedA single brief MI session of 15–20 minOne baseline session for ±2 h and four intervention sessions for 10 min, in person, individual meetings
Follow-up4 yearsTill end of pregnancy, that is, delivery6-month follow-up visit3 and 6 months after quit date
Selection and training of counsellorsDetails of counsellors or the training they received was not providedIn-service training for midwives, two afternoon sessions of 2 h each. Training included time for reflection on their current approach, their personal experiences of smoking cessation counselling, and opportunities for role play. ‘Health Care Providers Guide to Counselling Pregnant Women about Smoking’ booklet, adapted from the ACOG guide, was provided8 LHWs with ⩾11 years schooling and ⩾1 year experience as LHWs selected and trained as data collectors and tobacco cessation counsellors; LHWs received a 3-day MI training from an experienced brief MI counsellor and trainer. The TB nurse in charge of each clinic had one day’s training on the project and in delivering the brief tobacco cessation messageDetails of counsellors or the training they received was not provided
Primary outcomeNet change in smoking habits, that is, residual change in the intervention areas after allowing for change in the control area, that is, intervention effectQuitting smoking defined as urinary cotinine level < 100 ng/mlSustained 6 month smoking abstinence7-day point-prevalence abstinence measured at 6 months and at the end of the intervention period; smoking intensity of non-abstinent participants measured
Secondary outcomesNot describedReduction in smoking, that is, at least half the level of urinary cotinine as at study entry, and self-reported quitting, reduction and quit attemptsSustained 3-month smoking abstinence; 7-day point-prevalence abstinence at 1, 3 and 6 months; quit attemptsDecrease in smoking intensity of non-abstainers
Assessment of outcomesSelf-reported smoking/tobacco useUrinary cotinine using a Cotinine Direct ELISA kitSelf-reported smoking abstinence; biochemically verified exhaled CO (piCO + Smokerlyzer CO monitor), ⩾10 parts per million (ppm) signifies smoking, sub-sample (n = 165) tested at 6 monthsCO ⩽ 6 ppm (breath reading); CO levels measured in expired air using a Micro + Smokerlyzer® monitor
Frequency of assessmentsBaseline and 4 years laterBaseline <24 weeks gestation, mid-pregnancy (28–35 weeks), late pregnancy (36–39 weeks)At participants’ routine 1-, 3- and 6-month TB treatment visitsAt all sessions
Sample size4090 participants participated in both surveys; HII: 1251; LII: 1531; control: 1308979 self-reporting pregnant smokers; 443 in the control; 536 in the intervention group409 in total; intervention group, n = 205; control group, n = 20487 in total; intervention: n = 40; control: n = 47
Gender distributionMen: 1852 (45.3%); women: 2238 (54.7%)Women: 100%Intervention: 188/205 (91.7% men); control: 180/204 (88.2% men)Overall: 78% male; Intervention: 80% men; Control: 76% men
Age (years) of participants15–64 years at baseline; men: 43.2–44.8 (±12.3–12.8); women: 43.0–44.3 (±12.3–12.4)intervention: 24.1 (6.0); control: 24.0 (6.0) Intervention: 40.3 (SD ± 10.3); control: 42.3 (SD ± 10.1)±22 
ResultsNet reduction in smoking rates compared with control group: men: HII: 8.4%, LII: 2.0%; women: HII: 30.6%, LII: 19.2%; net reduction in amount smoked/day compared with control group: men: HII: 13.0%, LII: 4.6%; women: HII: 20.5%, LII: 8.1%; quit rate: men (p > 0.05): HII: 22.8%, LII: 16.9%, control: 20.1%; women: HII: 31.4% vs. 15.5% (control), p < 0.01; LII: 28.3% vs 15.5%, p < 0.05Differences between intervention and control arms: quit rates 5.3% (95% CI: 3.2–7.4%, p < 0.0001) in an intention to treat analysis; smoking reduction: 11.8% (95% CI: 5.0–18.4%, p = 0.0006)Self-reported 6-month sustained abstinence: 21.5% (intervention) vs. 9.3% (control); RR = 2.29, 95% CI = 1.34, 3.92, absolute difference of 12%. Biochemically verified (n = 166) 6-month sustained abstinence: intervention group: RR 2.21, 95% CI = 1.08, 4.51.Self-reported 3-month sustained abstinence: 25.4% (intervention); 12.8% (control); RR = 1.98, 95% CI = 1.24, 3.18Abstinence at the end of the intervention period: intervention: 45%, control: 6% (p < 0.001); Abstinence at the end of 6 months: intervention: 10%, control: 6% (p = 0.536)No statistically significant effect on smoking intensity of non-abstainers in intervention arm
ConclusionsCommunity-based intervention programme is effective in reducing smoking. However, quit rates were significant in women but not menA smoking cessation intervention based on best practice guidelines, among high risk, pregnant smokers, was effectiveSignificantly improved sustained smoking abstinence for at least 6 months in TB patients who received MI from LHWs compared with brief advice aloneCM promoted abstinence in the intervention period but not at the 6-month follow-up period

UCT: University of Cape Town; HII: high-intensity intervention; LII: low-intensity intervention; MI: motivational interviewing; LHWs: lay healthcare workers; TB: tuberculosis; CM: contingency management; CORIS: Coronary Risk Factor Study; CO: carbon monoxide; CHD: coronary heart disease; ACOG: American College of Obstetricians and Gynaecologists; CI: confidence interval; RR: relative risk.

Overview of included studies that utilised nicotine replacement therapy (with or without psychotherapy). NRT: nicotine replacement therapy; CO: carbon monoxide; IQR: interquartile range; OR: odds ratio; CI: confidence interval. Overview of included studies that utilised only psychotherapy without adjunct pharmacotherapy. UCT: University of Cape Town; HII: high-intensity intervention; LII: low-intensity intervention; MI: motivational interviewing; LHWs: lay healthcare workers; TB: tuberculosis; CM: contingency management; CORIS: Coronary Risk Factor Study; CO: carbon monoxide; CHD: coronary heart disease; ACOG: American College of Obstetricians and Gynaecologists; CI: confidence interval; RR: relative risk. Five studies were RCTs,[15,17,19-21] two were quasi-experimental[16,18] and one was a case–control study.[14] Participants or sites were randomly selected for seven of the eight studies; in the case–control study; however, participants self-selected for the intervention, that is, the use of nicotine gum.[14] Four studies targeted community-based smokers,[14,16,17,21] three studies were conducted in patients attending public sector health clinics (one each in antenatal,[18] tuberculosis (TB)[19] and antiretroviral[20] clinics), and one study was conducted in students at the University of Cape Town (UCT).[15] Sample sizes were 23 in the case–control study,[14] 87–561 in RCTs,[15,17,19-21] and 979 (pregnant women) and 4090 (three rural communities in the CORIS Study) in the quasi-experimental studies.[16,18] The sources of heterogeneity in the included studies comprise the wide range of interventions (discussed below), the different study designs and the specific population groups targeted for the interventions. These differences precluded comparability across studies.

Interventions of included studies

Studies that utilised nicotine replacement therapy

Four studies included pharmacotherapy (nicotine replacement therapy (NRT)) in the interventions[14,17,20,21] (Table 1). The NRT offered varied across the four studies with two studies comparing NRT and counselling versus counselling alone while the other two studies compared different NRT regimens. These were as follows: (1) group psychological treatment only versus self-provided 2-mg nicotine gum together with group psychological support,[14] (2) intensive anti-smoking counselling alone versus counselling and nicotine patches and gum,[20] (3) 2-week pre-treatment with placebo versus 15-mg active nicotine patch followed by active patch for both groups,[17] and (4) using varenicline alone versus varenicline with a nicotine patch.[21] The intervention periods for the use of NRT were 3 weeks of self-provided nicotine gum used as desired,[14] 10 weeks of nicotine patches and gum,[20] two additional weeks of nicotine patches,[17] and 14 weeks of nicotine patches.[21] All four NRT studies included psychological support using different counselling schedules. These included a multicomponent programme on behaviour modification,[14] 10-min sessions based on the 2008 US Public Health Service guidelines[21] or 20 min using the 5As model of the National Cancer Institute.[20] All four NRT studies assessed smoking cessation biochemically; blood CO was tested in a single study[14] while the other three examined exhaled CO.[17,20,21] Outcomes were assessed at baseline, during the intervention, immediately after the intervention period and after 6 months.[14,17,20,21] Sustained abstinence at 6 months was significantly higher in the intervention versus the control groups in two studies[17,21] and non-significantly different in the other two NRT studies.[14,20]

Studies that utilised psychotherapy only

The interventions in studies that utilised only psychotherapy without adjunct pharmacotherapy comprised (1) ‘interpersonal intervention’ (high-intensity intervention (HII)) and/or ‘mass media programmes’ (low-intensity intervention (LII)) versus no intervention,[16] (2) brief counselling and self-help quit materials versus usual care,[18] (3) brief motivational interviewing (MI) versus short, standardised smoking cessation message of four sentences[19] and (4) ‘contingency management’ (CM) versus an aid-to-quit information document[15] (Table 2). In the CORIS Study, the duration of the mass media programmes, that is, the LII was 4 years; however, the duration, frequency or details of the interpersonal intervention, that is, the HII was not described.[16] The smoking cessation intervention incorporating the American College of Obstetricians and Gynaecologists (ACOG) 5As best practice guidelines with brief counselling provided by midwives and peer counsellors was used in the study on pregnant women; the duration and frequency of the intervention was also not described.[18] Lay healthcare workers (LHWs) administered a single brief MI session of 15–20 min in the study in newly diagnosed TB patients.[19] In the UCT study, there was one baseline session for ±2 h and four sessions for 10 min.[15] The latter study used CM which involved the timeline follow back (TLFB) method, where smoking behaviour in the 7 days prior to the session was examined. Smoking cessation was assessed by self-report in both the CORIS Study,[16] and in the study with TB patients.[19] However, a sub-sample of patients in the latter study had biochemically verified exhaled CO assessments at 6 months. Participants in the UCT study had their CO levels measured in expired air at all sessions.[15] Urinary cotinine levels were assessed in the pregnant women study at three time-points: baseline, mid-pregnancy and late pregnancy.[18] In the CORIS Study, the quit rates after 4 years were significantly higher in women exposed to both the HII and the LII compared with the control group; however, these findings were not significant in men.[16] Quit rates and reductions in smoking were significantly higher in the intervention versus the control group in pregnant women.[18] Sustained smoking abstinence for at least 6 months was significantly higher in TB patients who received MI from LHWs compared with brief advice alone.[19] In the UCT students exposed to CM, abstinence was not significantly higher than the control group at 6 months.[15] In summary, there was no significant difference in smoking cessation in the intervention and control groups in two NRT studies[14,20] while two NRT studies reported significantly higher tobacco abstinence at 6 months in the intervention groups.[17,21] In studies that utilised only psychotherapy without adjunct pharmacotherapy, smoking cessation was significantly higher in the intervention versus the control groups in pregnant women[18] and TB patients[19] but not in students.[15] The community-based intervention programme was effective in reduce smoking overall but quit rates in women only.[16]

Risk of bias

Tables 3 and 4 describe the risk of bias for the RCTs and the non-RCTs, respectively, among the included studies. Among the RCTs, two studies each were at high risk of bias for blinding of participants and personnel (performance bias)[15,19] and incomplete outcome data (attrition bias)[17,21] while a single study was at high risk of bias for blinding of outcome assessments (detection bias)[19] (Table 3). The overall risk of bias was moderate for the non-RCTs (Table 4).[14,16,18]
Table 3.

Risk of bias assessment for the included randomised control trials with the supporting evidence.

Author, referenceRandom sequence generation (selection bias)Allocation concealment (selection bias)Blinding of participants and personnel (performance bias)Blinding of outcome assessment (detection bias)Incomplete outcome data (attrition bias)Selective reporting (reporting bias)Other bias
Schuurmans et al.[17]Low risk: “Randomization done through a computer-generated list”.Low risk: “Numbering of identical boxes containing patches was carried out prior to the study by a person not involved in the study. The treatment code was only broken after the last follow-up visit had been completed and data recorded”Low risk: “Double blind with parallel groups”.Low riskHigh riskLow riskUnclear
Koegelenberg et al.[21]Low risk: centrally generated block randomisationLow risk: “Randomized at second visit into one of the two groups of the study in a 1:1 ratio using centrally generated block randomization within each site (blocks of 4 with 2 active and 2 placebo patches)”Low risk: “Double blinded. Both investigators and participants were blinded”Low riskHigh risk: “Only 62.3% of randomized participants completed the study”Low riskLow risk
Golub et al.[20],UnclearUnclearUnclearUnclearUnclearUnclearUnclear
Louwagie et al.[19]Low Risk: “Randomization sequence with a 1:1 allocation and random block sizes of 2, 4, 6, 8”Low Risk: “Current smokers were allocated to either intervention or control arm by means of sequentially numbered sealed opaque envelopes”High Risk: “Not possible to blind respondents and LHCWs to the intervention received because there was only one LHCW per site at 4 of the 6 sites”High riskLow risk: “Loss to follow up rate similar to intervention and control groups. All patients lost to follow up were considered smokers in the ITT analysis”Low risk: “Results were analyzed as per protocol whereby non- eligible participants and patients lost to follow up were excluded from the analysis”Unclear
Hofmeyr et al.[15]Low risk: “Computer-generated stratified random assignment”Low risk: “Importantly it was the first-time treatment allocation was revealed to participants” (after taking CO reading)High Risk: “Neither treatment subjects nor RAs were blind to treatment allocation”Low risk: “CO (breath reading). RAs followed a carefully structured script during sessions”Low risk: “Dropouts not statistically significant”Low riskUnclear: “Given that the weekly CO readings could not biochemically verify the 7 day PPA measures hence there is a potential of misreporting the abstinence and the gaming of the intervention”

CO: carbon monoxide; LHCW: lay health-care worker; ITT: intention-to-treat; RAs: research assistants; PPA: point prevalence abstinence.

Table 4.

Risk of bias assessment for the non-randomised included studies.

Author, referencePre-intervention
At interventionPost-intervention
Overall risk of bias
Bias due to confoundingBias in selection of participants into the studyBias in classification of interventionsBias due to deviations from intended interventionsBias due to missing dataBias in measurement of outcomesBias in selection of the reported result
Steenkamp et al.[16]ModerateModerateLowModerateSeriousModerateLowModerate
Everett-Murphy et al.[18]ModerateLowLowModerateModerateModerateLowModerate
Baddeley et al.[14]ModerateLowModerateModerateLowModerateLowModerate

Low risk of bias (the study is comparable to a well-performed randomised trial); moderate risk of bias (the study provides sound evidence for a non-randomised study but cannot be considered comparable to a well-performed randomised trial); serious risk of bias (the study has some important problems).

Risk of bias assessment for the included randomised control trials with the supporting evidence. CO: carbon monoxide; LHCW: lay health-care worker; ITT: intention-to-treat; RAs: research assistants; PPA: point prevalence abstinence. Risk of bias assessment for the non-randomised included studies. Low risk of bias (the study is comparable to a well-performed randomised trial); moderate risk of bias (the study provides sound evidence for a non-randomised study but cannot be considered comparable to a well-performed randomised trial); serious risk of bias (the study has some important problems).

Discussion

To our knowledge, this is among the first studies to examine TCIs in SSA. As illustrated by the included studies, there is a wide range of behavioural and pharmacological TCIs. Numerous approaches were utilised in the TCIs and these differed in terms of intensity, cost (although not examined in this review) and effectiveness. The NRT studies ranged from the self-selection of nicotine gum in a case–control study[14] to the use of patches and gum in an RCT[20] and pre-treatment with nicotine patches in two RCTs.[17,21] Similarly, the studies with psychotherapy as their focus incorporated different techniques and principles. These included the ACOG 5As best practices, brief MI and CM. The different aims, interventions and designs of the included studies precluded comparisons across the studies and a meta-analysis from being conducted. Of the TCI studies in SSA included in this review, all were conducted in a single country, that is, South Africa. The dearth of TCI studies in SSA is of concern considering that tobacco cessation support services complement other tobacco control initiatives and contribute to decreasing the prevalence of tobacco use.[2] The prevalence of adult tobacco smoking in SSA is significant with the prevalence ⩾15% in seven countries in 2017. These were Lesotho (21%), Sierra Leone (19%), South Africa (17%), Madagascar (16%), Mauritius (16%), Seychelles (16%) and Botswana (15%).[2] Therefore, there is an urgent need in the region for evidence-based TCI for tobacco users who wish to quit. This is particularly relevant when considering that assisting tobacco users to quit is one of the most cost-effective preventive primary healthcare services. Indeed, of the four studies in this review that utilised only psychotherapy without adjunct pharmacotherapy, three were found to be effective and may be adapted to low-resource settings. These interventions consisted of brief counselling using the ACOG 5As best practice guidelines in pregnant women, brief MI in TB patients, and ‘interpersonal intervention’ (not described) and/or ‘mass media programmes’. Notably, in the study in UCT students, which was not found to be effective, students also received monetary incentives at each assessment if their exhaled CO was ⩽6 ppm. Such an intervention is unlikely to be cost-effective nor sustainable in low-resource settings. Notably, psychological support using different counselling schedules was a component of all included studies that used NRT, emphasising the importance of psychotherapy in tobacco cessation programmes. Two of these studies tested the utility of psychotherapy with or without NRT and reported no significant differences in quit rates between groups. This possibly further highlights the role of psychotherapy in tobacco cessation. The other two NRT studies tested different NRT regimes and reported significant findings. One study tested the use of an additional 2 weeks of active nicotine patch (14 weeks vs 12 weeks) and the other study the use of varenicline with or without nicotine patches. However, the findings of the latter two studies are unlikely to influence tobacco cessation public health policies in most SSA countries because of the high cost and unsustainable financial implications of pharmacological treatment. Furthermore, out-of-pocket expenditure on pharmacological treatments for tobacco cessation is not feasible for the poor majority residing in SSA because they are not cheap nor affordable.[22] Therefore, tobacco cessation medications are likely to be reserved for upscaling of TCIs when resources are available. SSA countries should follow a stepwise approach when developing their TCIs taking cost and effectiveness of different cessation interventions into consideration.[2] The counselling offered in most studies included in this review comprised intensive face-to-face therapy, which is usually affordable for middle- and high-income countries only.[2] However, in resource-constrained setting, a more pragmatic approach is necessary. This may include the integration of brief advice into primary healthcare setting as an initial step in encouraging tobacco cessation. Importantly, tobacco cessation should urgently be integrated into healthcare programmes such as TB and HIV/AIDS because of worse outcomes reported in smokers as well as family planning and maternal health because of poorer outcomes in pregnant women.[23,24] A study each in this review was conducted in patients with TB, HIV and pregnant women; a rollout of low-cost TCIs in these vulnerable groups will likely yield high returns. Nevertheless, numerous barriers exist to implementing such support. Although tobacco users frequently encounter healthcare providers, they do not receive cessation advice despite the opportunities provided.[24] Barriers to delivering cessation advice among healthcare providers may include their smoking behaviour, lack of knowledge, awareness or motivation, inadequate counselling skills, other urgent priorities and insufficient time due to overburdened clinics. To overcome these barriers, governments need to prioritise the integration of brief cessation advice in primary healthcare settings by incorporating it into healthcare policies and programmes. Equally crucial is to ensure that the training and skills required to impart such advice is provided. In addition, a practical solution to address the multiple demands placed on senior healthcare professionals, who are frequently overburdened and in short supply in SSA, is to shift tobacco cessation counselling to lower-level healthcare workers.[25] It is essential to monitor and evaluate all tobacco cessation strategies and programmes to ensure the adoption of best practices. Therefore, the implementation, efficacy and cost-effectiveness of such programmes will need to be carefully reviewed, that is, both the use of lower-level healthcare workers and the integration of brief tobacco cessation advice into TB, HIV and antenatal services. This underscores the need for existing healthcare systems to be strengthened to implement tobacco cessation promotion and tobacco dependence treatment initiatives. Unfortunately, SSA countries have a poor record in implementing TCI as illustrated by the following:[2] (1) tobacco use status was routinely recorded on medical records in only three SSA countries (Kenya, Nigeria and Seychelles). (2) Smoking cessation support was offered in some primary healthcare facilities in 10 SSA countries, but the cost was only partially covered in four countries and not covered at all in three countries. (3) NRT was available in 19 SSA countries; in six of these countries, a prescription was required. However, the cost was covered fully or partially in only eight of these countries. (4) Seven SSA countries have a national tobacco cessation strategy and 10 countries have national tobacco cessation clinical guidelines. (5) Only four SSA countries have national toll-free quit lines.[2] This highlights that governments need to invest in promoting cessation, by developing evidence-based cost-effective national strategies and guidelines and allocating adequate resources for programme implementation. In keeping with the findings of this review, they need to promote and provide counselling for those that stop smoking, and implement mass communication programmes that encourage quitting.[1] The latter is important because a lack of knowledge about quit strategies and peer-pressure, among other factors, also contribute to continued smoking or a failure to quit.[4] Moreover, while not reflected in the current review, a plethora of evidence from high-income countries demonstrates the benefits of pharmacotherapy in aiding successful tobacco cessation. Given that the use of pharmacotherapy increases the likelihood of successfully quitting tobacco,[2] SSA governments should strive to improve the availability, accessibility and affordability of cessation medicines. For optimal effect, governments need to implement such programmes in conjunction with other demand-reduction tobacco control policies.[2] These include higher tobacco taxes, smoke-free spaces, prohibitions on tobacco advertising, promotion and sponsorship, large pictorial health warnings on tobacco packages, and anti-tobacco mass media campaigns. Such messages encourage quitting and create supportive environments. The limitations of this study are that heterogeneity across studies precluded a meta-analysis from being conducted. The strengths are that three databases were used to search for relevant studies.

Conclusion

This review highlights that scant attention has been paid to TCI in SSA. All included studies were conducted in South Africa only. Furthermore, some of the interventions in the included studies cannot easily be introduced in resource-constrained settings and overburdened healthcare systems. For example, the long duration of the counselling sessions is not feasible for implementation. In others, the lack of accessibility and affordability of NRT in most SSA countries makes such interventions currently impractical and unattainable for most SSA tobacco users. However, NRT and other pharmacological aids to quit smoking can approximately double the chance that an individual will successfully quit. It is essential to monitor and evaluate all tobacco cessation strategies and programmes to ensure the adoption of best practices. Currently, the limited availability of quality data prevents the implementation of tailored services in SSA. Additional studies are required that examine the effectiveness of best-practice cessation interventions in settings of graded resource availability, that is, from brief advice in primary healthcare to combination pharmacotherapies. Furthermore, there needs to be close collaborations between governments, academic institutions, non-governmental organisations and other stakeholders for the implementation and monitoring of optimal TCI services. Click here for additional data file. Supplemental material, PRISMA-2009-checklist--2 for A narrative systematic review of tobacco cessation interventions in Sub-Saharan Africa by Nasheeta Peer, Ashika Naicker, Munira Khan and Andre-Pascal Kengne in SAGE Open Medicine
  19 in total

1.  The effectiveness of adapted, best practice guidelines for smoking cessation counseling with disadvantaged, pregnant smokers attending public sector antenatal clinics in Cape Town, South Africa.

Authors:  Katherine Everett-Murphy; Krisela Steyn; Catherine Mathews; Zaino Petersen; Hein Odendaal; Nomonde Gwebushe; Carl Lombard
Journal:  Acta Obstet Gynecol Scand       Date:  2010       Impact factor: 3.636

2.  Incentivizing university students to quit smoking: a randomized controlled trial of a contingency management intervention in a developing country.

Authors:  Andre Hofmeyr; Harold Kincaid; Olivia Rusch
Journal:  Am J Drug Alcohol Abuse       Date:  2019-07-10       Impact factor: 3.829

3.  Barriers to Smoking Cessation Among Drug-Resistant Tuberculosis Patients in South Africa.

Authors:  Zifikile Phindile Shangase; Joyce Mahlako Tsoka-Gwegweni; Catherine O Egbe
Journal:  Ann Glob Health       Date:  2017-06-20       Impact factor: 2.462

4.  Nicotine gum and psychological support in smoking cessation. A pilot study in South Africa.

Authors:  G M Baddeley; H H Schomer; C F Albrecht
Journal:  S Afr Med J       Date:  1988-04-02

5.  Effect of pre-treatment with nicotine patch on withdrawal symptoms and abstinence rates in smokers subsequently quitting with the nicotine patch: a randomized controlled trial.

Authors:  Macé M Schuurmans; Andreas H Diacon; Xandra van Biljon; Chris T Bolliger
Journal:  Addiction       Date:  2004-05       Impact factor: 6.526

6.  Efficacy of brief motivational interviewing on smoking cessation at tuberculosis clinics in Tshwane, South Africa: a randomized controlled trial.

Authors:  Goedele M C Louwagie; Kolawole S Okuyemi; Olalekan A Ayo-Yusuf
Journal:  Addiction       Date:  2014-07-18       Impact factor: 6.526

7.  Exposing and addressing tobacco industry conduct in low-income and middle-income countries.

Authors:  Anna B Gilmore; Gary Fooks; Jeffrey Drope; Stella Aguinaga Bialous; Rachel Rose Jackson
Journal:  Lancet       Date:  2015-03-14       Impact factor: 79.321

8.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12

Review 9.  Treating tobacco dependence: guidance for primary care on life-saving interventions. Position statement of the IPCRG.

Authors:  O C P Van Schayck; S Williams; V Barchilon; N Baxter; M Jawad; P A Katsaounou; B J Kirenga; C Panaitescu; I G Tsiligianni; N Zwar; A Ostrem
Journal:  NPJ Prim Care Respir Med       Date:  2017-06-09       Impact factor: 2.871

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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1.  Cigarette smoking is associated with an increase in blood monocytes in people with tuberculosis: A cross-sectional study.

Authors:  Joseph Baruch Baluku; Martin Nabwana; Grace Kansiime; Edwin Nuwagira
Journal:  Medicine (Baltimore)       Date:  2022-09-16       Impact factor: 1.817

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