Literature DB >> 35473819

Strategies to overcome vaccine hesitancy: a systematic review.

Prem Singh1, Pritu Dhalaria2, Satabdi Kashyap3, Gopal Krishna Soni1, Partha Nandi4, Shreeparna Ghosh1, Mrinal Kar Mohapatra1, Apurva Rastogi1, Divya Prakash5.   

Abstract

BACKGROUND: Vaccination, albeit a necessity in the prevention of infectious diseases, requires appropriate strategies for addressing vaccine hesitancy at an individual and community level. However, there remains a glaring scarcity of available literature in that regard. Therefore, this review aims to scrutinize globally tested interventions to increase the vaccination uptake by addressing vaccine hesitancy at various stages of these interventions across the globe and help policy makers in implementing appropriate strategies to address the issue.
METHODS: A systematic review of descriptive and analytic studies was conducted using specific key word searches to identify literature containing information about interventions directed at vaccine hesitancy. The search was done using PubMed, Global Health, and Science Direct databases. Data extraction was based on study characteristics such as author details; study design; and type, duration, and outcome of an intervention.
RESULTS: A total of 105 studies were identified of which 33 studies were included in the final review. Community-based interventions, monetary incentives, and technology-based health literacy demonstrated significant improvement in the utilization of immunization services. On the other hand, media-based intervention studies did not bring about a desired change in overcoming vaccine hesitancy.
CONCLUSION: This study indicates that the strategies should be based on the need and reasons for vaccine hesitancy for the targeted population. A multidimensional approach involving community members, families, and individuals is required to address this challenging issue.
© 2022. The Author(s).

Entities:  

Keywords:  Global health; Immunization; Vaccination; Vaccine hesitancy; Vaccine refusal; Vaccines

Mesh:

Substances:

Year:  2022        PMID: 35473819      PMCID: PMC9044888          DOI: 10.1186/s13643-022-01941-4

Source DB:  PubMed          Journal:  Syst Rev        ISSN: 2046-4053


Background

Vaccines have always been one of the most innocuous and effective approaches for the prevention of many infectious diseases [1]. In spite of this, vaccine-preventable diseases are still widespread. In the preceding years, there have been outbreaks of infectious diseases in many parts of the world regardless of having effective vaccines against such diseases. The plausible reason for it could be “vaccine hesitancy” [2]. Vaccine hesitancy refers to a delay in acceptance or refusal of vaccination despite availability of vaccination services [3]. Against the backdrop of a large number of unimmunized children globally and frequent outbreaks of vaccine-preventable diseases [4], WHO has listed vaccine hesitancy as one of the top ten global health threats in 2019 [5] and has drawn major concerns across the world due to increase and resurgence of vaccine-preventable diseases. The reasons of reluctance or refusal are complex varying across time, place, specific type of vaccines [6, 7], and context-specific such as related to confidence, convenience, and complacency. Similarly, multiple factors such as religious beliefs, geographic barriers, parent-provider relationship, perceived risk of adverse events following immunization (AEFI), lack of knowledge about vaccination, and disease risk perception give rise to vaccine hesitancy [8]. A survey conducted by WHO and UNICEF showed that vaccine hesitancy emerged a decade ago [9]. However, it has gained attention due to the current changing scientific, cultural, medico-legal, and media environments, despite all the efforts made to increase the awareness and increase the vaccines uptake. The trend has been realized in several countries across the world including the UK, USA, and India [10]. This has triggered global researchers to understand the determinants of this emerging issue throughout the world. One of the reviews conducted by Jarrett et al. (2015) on similar background and methodology have conducted their review on the basis of three broad theme {dialogue-based, incentive-based (non-financial), reminder/recall-based} have some of the shortcomings. The study did not mention technology-based health literacy as well as incentive based on financial aspect in their review. The study also includes grey literature in their review which arises the potential literature bias in the review [11]. Various strategies such as community activity by community health workers and medical interns, monetary incentives, and educational videos as well as media-based approach have been piloted and evaluated in diverse settings to understand their impact on reducing the vaccine hesitancy. However, there is a paucity of critical synthesis of all these interventions across the globe and contextual summarization to guide program managers and policy makers in implementing appropriate strategies to address vaccine hesitancy. Therefore, this review aims to analyze globally tested interventions to increase the vaccination uptake by addressing the issues through globally tested interventions for people with different degrees of vaccine hesitancy.

Methods

This systematic review was reported in line with the quality requirements of the PRISMA reporting guideline, from June to September 2019 and the flow chart has been mentioned as Fig. 1 for understanding the method followed [12]. The checklist of PRISMA reporting guideline has also been added as Additional Document.
Fig. 1

Literature review data synthesis flowchart

Literature review data synthesis flowchart A search was conducted in the PubMed, Global Health, and Science Direct electronic databases to identify peer-reviewed literature. Search was not restricted to any time period and included literature search for title, abstract, and full-text in English language only.

Search strategy

The search strategy was set up using database-specific vocabularies. The literature search was conducted using the keywords “immunization,” “vaccine,” “vaccination,” “vaccine strategy,” “vaccine intervention,” “vaccine hesitant,” “vaccine hesitancy,” “vaccine refusal,,” “trust in vaccination,” “vaccine confidence,” “vaccine resistance,” “vaccine impact,” “vaccine concern,” “vaccine rejection,” and “vaccine side effects” using “AND” and “OR” operators.

Inclusion and exclusion criteria

While searching for vaccination strategies, we considered universally recommended vaccines for children, adolescents, and adults such as diphtheria, tetanus, pertussis, poliomyelitis, hepatitis B, tuberculosis (BCG vaccine) measles, mumps, rubella, hemophilus influenza B (Hib), varicella, pneumococcal vaccine, meningococcal vaccine, human papillomavirus (HPV), oral polio vaccine, and seasonal influenza vaccine. Based on the objective, we included interventions that were targeted towards addressing vaccine hesitancy among parents and caregivers. For review, descriptive and analytical studies that described the effect of strategies on addressing vaccine hesitancy were included. Studies that were opinion-based or did not focus primarily on populations eligible to receive vaccine or their parents or that did not allow the authors to extract information on vaccination were excluded from our analysis.

Study selection process

Two researchers independently reviewed the identified studies for eligibility using a two-step process. In the first step, title, abstract, and keywords were screened to segregate the eligible studies followed by a full-text retrieval and screening. Similarly, data extraction was performed independently by two researchers and unmatched studies were included or excluded in consensus with a third researcher.

Data extraction and synthesis

Data extraction included study characteristics such as (1) author, year, journal, study design, study setting, study period, and study population; (2) the vaccines considered; (3) information about the intervention being studied such as type of intervention and duration of the intervention; and (4) information on follow-up time, analysis performed, and outcomes of interest. We categorized the review under four broad themes, i.e., community health training, incentive-based approach; technology-based health literacy; and media engagement using participants, interventions, comparisons, outcomes, and study design (PICO) strategy (Fig. 2) [13].
Fig. 2

Strategies to remove a vaccine hesitancy

Community health trainings: It included community health information dissemination through health workers, mobilizers, medical officers; social mobilization through medical interns, prominent religious leaders; and knowledge- and experience-sharing by influential women from the community to accelerate vaccine uptake [13]. Incentive-based approach: It involved incentives to encourage parents to immunize their children, including provision of food, other goods, and certificates of recognition or monetary support to encourage vaccination [13]. Technology-based health literacy: It involved use of technology in informing beneficiaries through various modern age-technologies such as mobile phone. Activities in this category included mobile phone recall text messages in local languages, pictorial messages, and automated phone calls or interactive voice recording for spreading awareness [13]. Media engagement: Mobilization through various campaigns and platforms such as radio, TV, and print media should feature concise, easily understood public service announcements by national public figures, well-known and authoritative local representatives, and representative members of the target population [13]. Strategies to remove a vaccine hesitancy

Critical appraisal

The Effective Public Health Practice Project (EPHPP) quality assessment tool for quantitative studies was applied to determine the risk of bias in all eligible studies [14]. Literature screening and data extraction piloting was done on five documents by all three reviewers to standardize the review and data extraction process. Furthermore, disagreements during review were resolved by consensus.

Results

The search identified 2495 peer-reviewed articles. After removing duplicates, 1141 articles were screened using title, abstract, and keywords, which excluded 1036 papers leaving 105 full-text papers for review. Of these, 33 were evaluated and described. Among the evaluated peer-reviewed literature, nine were related to community health training’s theme [15-23], five were related to incentive-based approach [24-28], eight were related to technology-based health literacy [18, 29–35], and eleven were related to media engagement [36-46] (Tables 1 and 2).
Table 1

A descriptive summary of the characteristics of the included studies

AuthorStudy typeName of countryStudy settingParticipantsInterventionsRisk of bias score
Oche et al., 2011 [15]Controlled community trialNigeriaTown with the vast majority of the population largely farmers and illiteratesMothers of children aged 0 to 23 monthsCommunity health training6/10
Brugha et al., 1996 [16]Controlled trialGhanaTown where regular immunization services were availableMothers of 12–18-month-old childrenCommunity health training7/10
Zhang et al., 201 9[36]Cross-sectionalAustraliaNationally representative sampleParents with at least one child under 5 yearsMedia engagement4/10
Rahman et al., 2013 [17]Pre-post interventions without controlIraqDistrict with both rural and urban populationVillages with a DPT 3 coverage rate < 20% and 15–24 infants below 1 yearCommunity health training5/10
Williams et al., 2019 [47]Cross-sectionalUSAUrban geographic areaReligious organizations with at least one religious leader or equivalent located in Denver countyCommunity health trainingNA
Nasiru et al., 2012 [21]Pre-post interventions without controlNigeriaLocal council with high reported cases of polio disease and very low vaccination uptakeChildren under the age of 5Community health training7/10
Ofstead et al., 2013 [22]Pre-post interventions with controlUSAManufacturing corporationFull-time employees and their dependentsCommunity health training6/10
Ansari et al., 2007 [29]Pre-postIndiaHigh risk urban areasHigh-risk urban areasTechnology-based health literacy7/10
Usman et al., 2011 [23]Randomized controlled trialPakistanRural EPI centersAll children visiting the selected EPI centers for DTP1Community health training9/10
Williams et al., 2013 [18]Cluster-randomized controlled trialUSAPrivate pediatric practices in urban areaParent with a full-term infant less than 30 days oldTechnology-based health literacy9/10
Maltezou et al., 2009 [30]Cross-sectionalGreecePublic hospitalsGreek public hospitalsTechnology-based health literacy6/10
Mouzoon, M. et al., 2010 [24]Retrospective studyUSAA large multispecialty medical organizationPregnant women and healthcare workersIncentive based approach8/10
Fiks, A.G et al., 2013 [31]Cluster-randomized controlled trialUSAUrban primary care practicesGirls 11 through 17 years of age due for at least 1 dose of the HPV vaccineTechnology-based health literacy5/10
Spleen, A.M, et al., 2011 [19]Pre-postUSARural population with high poverty rates, high unemployment rates, low access to healthcare, and excess cancer burden, including cervical cancerParents of daughters age 9–17 yearsCommunity health training7/10
Muehleisen et al., 2007 [32]Pre-post with controlSwitzerlandHospital in urban settingChildren aged 61 days to 17 yearsTechnology-based health literacy7/10
Banerjee et al., 2010 [25]Cluster-randomized controlled trialIndiaRural RajasthanChildren aged 1–3 yearsIncentive-based approach9/10
Barham et al., 2008 [26]Cluster-randomized controlled trialThe Republic of NicaraguaRuralChildren 12–23-month-old and aboveIncentive-based approach7/10
Stitzer,M.L, et al. 2009 [27]Randomized controlled trialUSAGeneral HospitalIndividual aged 18–64 yearsIncentive-based approach7/10
Robertson et al., 2013 [28]Cluster-randomized trialZimbabweFour socioeconomic strata were selected: subsistence farming areas, roadside trading settlements, agricultural estates, and small townshouseholds with children younger than 18 yearsIncentive-based approach8/10
Stockwell et al., 2012 [37]Two randomized controlled trialsUSAUrban, low-income populationParents with children aged 11 to 18 years and families with a child aged 7 to 22 months lacking 1Hib doseMedia engagement8/10
Milkman et al., 2011 [38]Randomized controlled trialUSAA large firmEmployeesMedia engagement8/10
Lemstra,M. et al. 2011 [40]Cluster-randomized trialCanadaLow-income settingParents of children who were behind in MMR immunizationsMedia engagement8/10
Clark et al., 2015 [41]Internet-based cross-sectional surveyUSANationally representative sampleParents of children 0 to 17 years of ageMedia engagement (preferred mode of communication)8/10
Kharbanda et al., 2009 [42]Qualitative evaluationUSAThree urban community health centers and two private practices in New York CityParents with at least 1 child aged 10 to 19 yearsMedia engagement8/10
Ahlers-Schmidt et al., 2010 [33]Formative surveyUSALow-income settingParents with children under 6 years of age at a Midwestern Pediatric Residency clinicTechnology-based health literacy6/10
Hofstetter et al., 2013 [43]Cross-sectional studyUSAUrban settingParents of 6–59-month-old children and providersMedia engagement (preferred recalled reminder mode)7/10
Lau et al., 2012 [20]Randomized controlled trial, cross-sectional studyAustralia, NigeriaUniversity urban settingUniversity students and staff. Mothers and their infants aged 0–3 monthsCommunity health training9/10
Brown et al., 2017 [44]Cross-sectional studyNigeriaUrban and sub-urban community health facilityMothers of infantsMedia engagement (preferred recalled reminder mode)6/10
Saville et.al, 2014 [45]Cross-sectional, randomized, controlled trialUSA, AustraliaBoth urban and rural university

Parents of children 19–35-month-old

University students and staff

Media engagement (preferred recalled reminder mode)6/10
Cates et al., 2011 [34]Assessment4 North Carolina countiesRural areaMothers of girls aged 11–12Media engagement (preferred recalled reminder mode)6/10
Pandey et al., 2011 [35]Cross-sectionalIndiaMedical schoolStudents of medical schoolTechnology-based health literacy6/10
Garcia-Dia, 2017 [46]Case-control studyPhilippinesRural settingParents of the 12–24 months childrenMedia-based approach6/10
Moniz et al., 2013 [39]Randomized controlled trialUSAOutpatient clinicObstetric patients at less than 28 weeks of gestation pending the flu shotMedia-based approach8/10
Table 2

A descriptive summary of the target vaccine, reason for hesitancy, outcomes, and limitations for each strategy

AuthorDuration of studyTarget vaccineReason for vaccine hesitancyOutcome of interventionsLimitations of the study
Community health training
 Oche et al., 2011 [15]9 monthsDPT3Low level of knowledge among mothers and poor attitude of health workersImproved program acceptance and immunization servicesCost of services, availability of vaccines not considered
 Brugha et al., 1996 [16]8 monthsBCG; poliovirus, DPT3, measlesLack of awarenessImprovement of immunization coverage through community health training.Contamination of control group
 Rahman et al., 2013 [17]6 monthsDPT1, DPT2, DPT3, MeaslesLack of information/motivationVaccination coverage rates improved in intervention villagesStudy restricted to a tribe influenced by peer-leader
 Williams et al., 2019 [47]5 monthsInfluenzaReligious beliefs/attitudeNo significant outcomeSmall study size
 Nasiru et al., 2012 [21]6 monthsPolio vaccineAttitude/misinformationEffective communication and polio outreach campaigns-increased vaccine uptakePopulation dynamics not considered
 Ofstead et al., 2013 [22]3 monthsInfluenzaMisconceptionsSubstantial increase in vaccination rateNo psychometric evaluation
 Usman et al., 2011 [23]90 daysDTPLack of knowledgeInfant vaccination increasedLack of complete follow-up
 Spleen et al., 2011 [19]1 yearHPV vaccineLack of parental attitude/knowledgeIncreased vaccine acceptabilityStudy limited to small parent sub-group
 Lau et al., 2012 [20]6 monthsInfluenzaLack of knowledgeImproved uptake of influenza vaccination and utilization of health servicesSeasonal variations of influenza not considered.
Incentive-based approach
 Mouzoon et al., 2010 [24]6 yearsInfluenzaLack of familiarity or comfort with vaccination in pregnancyVaccination acceptability increased in pregnant femalesLack of baseline data
 Banerjee et al., 2010 [25]18 monthsBCG, DPT, oral polio vaccines, measlesLack of awarenessIncreased uptake of immunization services.Not a blinded study
 Stitzer et al., 2009 [27]6 monthsHBVNegligenceMotivation leading to attending vaccination sessionsSmall sample size, homogeneity of sample
 Barham et al., 2008 [26]2 yearsBCG, MCV, OPV3, DPT3Lack of finance and motivationVaccination coverage increased dramaticallyProximity to availability of vaccine to study group not considered
 Robertson et al., 2013 [28]1 yearChildhood vaccinationLack of motivationNo increase in vaccination uptakeShort intervention period
Technology-based health literacy
 Ansari et al., 2007 [29]1-day studyPolio vaccineMisguided information/rumorsCorrect health education leading to vaccine acceptanceOther parameters and lack of existing immunization not considered
 Williams et al., 2013 [18]2 monthsPertussis, varicella, pneumococcalNegative parent attitude regarding safety/necessity of vaccineEducational intervention with 8-min video improved vaccine acceptanceSocial desirability bias
 Maltezou et al., 2009 [30]1 yearInfluenzaLack of time and inconvenienceLectures in hospital/mobile vaccination team visit-significant impactNo baseline data; no feedback
 Fiks et al., 2013 [31]1 yearHPVParental concerns, clinicians’ beliefs and practice concerns.Combined interventions increased vaccination ratesLack of large-scale study
 Muehleisen et al., 2007 [32]9 monthsDTAP, HBV, HiB, IPV, MMR, TdLack of parental awarenessIncreased reporting of immunizationImproper documentation/lack of prior immunization records, single-centric study
 Ahlers-Schmidt et al., 2010 [33]Not mentionedGeneral vaccineParental concerns about safety and lack of knowledgeIncreased vaccine acceptabilityDemographically not generalizable
 Cates et al., 2011 [34]6 monthsHBVLack of awarenessIncrease in vaccination acceptance and uptakeSocio-economic disparity in demographics
 Pandey et al., 2011 [35]Not mentionedHPVInadequate informationFemale students had better awareness; medical teaching had better impactSingle-centric study
Media-based approach
 Brown et al. 2015 [44]Not mentionedRoutine vaccineNot mentioned60% mothers preferred immunization reminders by cellphones and SMSStudy not including rural population
 Saville et al., 2014 [45]4 monthsGeneral vaccineNot mentionedPreferred modality email or telephoneSocio-economic demography not generalizable
 Hofstetter et al., 2013 [43]3 monthsGeneral vaccineNot mentionedText messages recall widely acceptedSocio-demographic data not generalizable
 Kharbanda et al., 2009 [42]Not mentionedGeneral vaccineNot mentionedPreferred method was text messagesDemographically not generalizable
 Clark et al., 2015 [41]Not mentionedGeneral vaccinationNot mentionedParents more willing to communicate by phone callLack of specificities
 Lemstra et al., 2011 [40]1 yearMMRLow incomeLimited additional benefitsSubstantial study population not able to be contacted; incorrect telephone data
 Milkman et al., 2011 [38]1 monthInfluenzaLack of knowledgeIncreased vaccination rateSmall sample size; single-centric study
 Stockwell et al., 2012 [37]6 monthsMeningococcal (MCV4); tetanus diphtheria-acellular pertussis (Tdap)Low incomeImmunization reminders beneficial; increased vaccine uptakeLack of sample size of parents recorded in cell phone registry
 Zhang et al., 2019 [36]Not mentionedAcceptance of new target vaccination policyNegative attitude towards immunizationPublic figures/media messages can influence attitudesSmall study size. Did not identify demographic predictors
 Garcia-Dia, 2017 [46]3 monthsRoutine vaccineLack of awarenessPreference of text message along with PictureStudy conducted only in rural setting
 Moniz et al., 2013 [39]2 yearsInfluenzaLack of awarenessText messages not effectiveSingle socio-demographic group
A descriptive summary of the characteristics of the included studies Parents of children 19–35-month-old University students and staff A descriptive summary of the target vaccine, reason for hesitancy, outcomes, and limitations for each strategy

Community health trainings

Out of the total 33 studies considered, there were nine studies that were based on community health training strategy. Majority of the studies revealed parents/caregivers of children as the study population except for one study that primarily addressed the issue of vaccine hesitancy in religious leaders of a community. The most targeted vaccines were diphtheria pertussis tetanus (DPT1, DPT2, DPT3) vaccine, Bacille Calmette-Guerin (BCG) vaccine, poliovirus 3, measles, influenza, and HPV vaccine. Lack of knowledge, negative parental attitude, and misconceptions were the foremost encountered causes for vaccine hesitancy that were addressed predominantly by health workers/medical interns [15-19]. Home visits and information campaigns were the most common types of community training modalities except for the two studies that had personally controlled health management systems (PCHMS) and community-level nutrition information system for action (COLNISA) as community health training strategies that led to an overall rise in vaccine coverage from 21 to 33% [20, 21, 43, 44]. Community activity for systematic engagement of parents and home visits by community health workers and medical interns significantly improved program acceptance and utilization of immunization services (Table 2).

Incentive-based approach

Five studies published between 2008 and 2013 were identified that focused on performance-based incentives for vaccination [24-28]. Incentive-based approach mostly involved general hospitals in the rural and lower socio-economic strata of the society. Most of these studies suggested monetary incentives only. Influenza, BCG, polio, DPT2, DPT3, measles, HBV, meningococcal 4 (MCV4), and tetanus diphtheria-acellular pertussis (Tdap) were the most sought-after targeted vaccines. A dearth of financial burden and negligence were the suggested reasons for vaccine hesitancy. Findings of these studies suggested that incentives had a high impact on the uptake of immunization services. The effect of non-financial incentives on vaccine uptake for parents and communities located in low-income settings (India) was moderate (RR: 2.16, [CI: 1.54, 2.78]) [25], except for one study that depicted no increase in vaccine acceptance using incentive-based search strategy [27] (Table 2).

Technology-based health literacy

Lately, leveraging on the health literacy using technology such as informative posters, leaflets and videotapes, social media, organizing lectures, etc., were used to bring behavioral change regarding vaccination. The studies depicted that this intervention strategy was mostly acted upon in urban primary care practices and large multispecialty medical organizations. Inadequate information /rumors, parental concerns about safety and lack of awareness, clinicians’ beliefs and practice concerns attributed to vaccine hesitancy [18, 29–32]. The eight studies available highlighted and dealt with vaccine hesitancy towards polio vaccine, varicella, pneumococcal influenza, DTPDTP, hepatitis B (HBV), hemophilus influenza B (HiB), inactivated polio vaccine (IPV), and measles mumps rubella (MMR). These studies suggested that educational intervention using videos, posters, and lectures demonstrated an improved vaccine acceptance (Table 2) [33-35].

Media engagement

Interventions such as reminder calls, SMS, and emails were adopted as media-based strategy in nine studies to address vaccine hesitancy. Most of the studies targeted general vaccines whereas only four out of eleven studies had interventions directed towards meningococcal (MCV4), tetanus diphtheria-acellular pertussis (Tdap), MMR, and influenza vaccines [37-40]. Low income, negative attitude towards immunization, and lack of knowledge were the most recorded reasons for vaccine hesitancy. The overall study outcome with this intervention strategy revealed that simple recall messages through SMS and email were preferred; however, these did not bring the desired change in overcoming vaccine hesitancy (Table 2) [41, 42, 44, 45].

Risk of bias

Out of the 33 studies reported, 29 studies noted a high risk of bias and one study reported no risk of bias. The risk of bias is calculated on the basis of study design, analysis, withdrawals and dropouts, data collection practices, selection bias, invention integrity, blinding as part of a controlled trial, and confounders (Table 1).

Discussion

The studies included interventions with diverse approaches that were implemented in different settings and targeted various populations, which helped us to get a holistic view of interventions globally to build confidence on vaccines, increase acceptance, and promote adequate immunization behaviors. In the review, we observed that the strategies suggested or evaluated were similar to traditional strategies such as IPC and social mobilization through education and empowerment, financial and non-financial incentives for motivation of beneficiaries and mobilizers, and technology assistance for communication to bring about a behavioral change. The studies used in this systematic review are equally from low, middle and higher-income countries focusing on involvement of political leaders, medical leaders, and mobile vaccination team for addressing the issues of vaccine hesitancy [30, 36]. Studies done by Fiks et al., Williams et al., Zhang et al., and Rahman et al. reported a lower risk of bias when compared to other studies, which could be due to variation in the study design and settings [17, 18, 31, 36]. Most of the interventions analyzed in the review were primarily either to inform or to educate the target population about the risks and benefits of vaccination using community health training strategy, as lack of knowledge or awareness about vaccines was observed to be the major cause of vaccine hesitancy. These studies reported effective improvement in vaccines uptake after the exercise. Two of these studies focused on the involvement of mothers for knowledge and experience sharing [15, 16]. A study conducted by Brugha et al. revealed a significant rise from 60 to 80% in vaccine coverage after 6 months of home-visit community health training program [16]. Involvement of mothers showed a significant improvement in vaccination coverage (33–85%) in another similar study done by Usman et al. [23]. Nine studies were based on parent-centered information or education about vaccination and social mobilization of parents by health workers/medical interns [15-23]. All these studies showed a significant impact in changing parents’ attitude towards their child’s vaccination. Messaging on vaccination from political and religious leaders also imparted a positive impact on vaccination uptake [17, 36]. A study conducted in Denver (USA) found significant difference in attitude and practices related to immunization among vaccine-hesitant and non-hesitant religious leaders [47]. Similarly, effective communication regarding polio vaccination with the community had shown positive impact in Nigeria [29]. However, variation in study sample with no consideration towards population dynamics was a potential limitation of all the nine studies from community health training theme, as some studies are conducted involving parents and caregivers [19, 23, 36]. In some studies, information is captured from children [21]. The sample sizes are also different for these studies as one of the studies involved more than thirteen thousand participants and while another study involved 117 participants [19, 22]. Findings of studies conducted by Mouzoon et al., Banerjee et al., and Stitzer et al. suggested that incentives had a high impact on the uptake of immunization services [24, 25, 27]. Conditional cash transfer program led to a huge increase in vaccination coverage resulting in 95% coverage along with incentive-based interventions were also found to be effective in rural Nicaragua. The study shows an increase of 10% in vaccination coverage rate among 12–23 months old children to 95% for DPT3 in treatment group as compared to 85% in the control group [26]. It was evident from the synthesis that the incentive-based strategies had a positive impact on bringing about vaccination acceptance. The benefit of incentive-based health promotions had always been significant but sustainability and adherence after intervention was debatable [28]. An increasingly popular strategy in health policy is the use of “incentive” to individuals to avoid health risks. In particular, we must ask whether incentive schemes are more effective than policies that aim to address directly the barriers to “healthy” behaviors, especially those existing among disadvantaged groups. Furthermore, the implementation of incentives in large populations remained a challenge. At the same time, integration of incentives with other mother and child health services such as the Janani Suraksha Yojana implemented by Govt. of India can bring a positive change in improving immunization uptake along with education on delivery and nutrition in low-income and low-education settings [25]. Gaps in awareness such as complete absence of knowledge, less knowledge, and misconceptions were known to be the principal factors for lack of adequate health-seeking behavior. Strategies focusing on behavior change through knowledge and awareness will be most suitable for complex behavioral dynamics as it targets multiple layers of decision-making—individual, family, and society [29]. Additionally, the benefits of health literacy using technology to bring about public awareness are not only multi-faceted but also have potential to change the whole health-seeking behavior paradigm and not just the behavior towards vaccines [18]. Using mobile technology and social media has also improves peoples’ awareness for managing health and service delivery [48]. Recently, educational videos, lectures in hospital settings, mobile vaccination team visits, social marketing, and web-based questionnaires have been used to bring about a behavioral change regarding vaccination. A study conducted in the rural areas North Carolina of (USA) using social marketing campaign raised the awareness among parents and reduced barriers in accessing the HPV vaccine successfully [34]. Similarly, HPV vaccination rates were 2% higher among 9–13-year-old girls within 6 months of campaign launch [34]. Evaluation of social media interventions by Muehleisen et al. (2007) and Lemstra et al. (2011) showed a positive effect on uptake of MMR vaccine [32, 40]. In Northern Nigeria, a relative increase of ~ 310% in the polio vaccination uptake was observed through an educational intervention with a video containing awareness message about polio vaccination [21]. Furthermore, the intervention focusing on the engagement of various kinds of media to reach the population has also proved to be efficient in creating awareness and promoting beneficial health-seeking behaviors [18]. Therefore, in conjunction with awareness-creating strategies, utilization of mass media in various forms such as print, audio, television, and social media can stimulate a positive perception among the population in different settings [21, 33]. However, improper documentation and socio-economic disparity in demographics was the major downside in the health literacy using technology-based intervention strategy. Among all the strategies, recall strategies showed least improvement in mobilizing people from negative perception to acceptance. Furthermore, findings from a study in USA showed that parents aged 30 years and above preferred e-mail reminders as compared to other modes such as phone calls and text messages [43]. Few studies from USA and Nigeria have revealed a wide support and acceptability of text messages or SMS as a mode of immunization reminder or recall. A large proportion of parents had also shown willingness to be reminded about vaccinations by their health departments and via novel modalities such as email or text messaging [41, 45, 47]. Urban parents preferred reminders from their child’s doctor (46.7%) as compared to rural parents (33.7%) [37]. Although the recall strategies showed improvement in vaccine uptake by addressing the issues of vaccine hesitancy, they were inconsistent in all studies [40, 42, 43]. Therefore, it can be perceived that these kinds of passive reminders sent through modern communication channels may be only effective in case of technology-friendly populations. It is unlikely that mere recall messages through SMS or email, which were found to be preferred, will bring a desired change in the confidence on vaccines [38]. In light of the above knowledge, it is difficult to predict the superiority of any intervention over the other. Therefore, more studies with a better study design and targeting specific populations are required. Another reason for the lack of literature can be our limited access to indexing databases, which severely limits our capability to extract large amount of published literature.

Conclusions

Vaccine hesitancy not only increases an individual’s risk of contracting a disease but also increases the risk for the community. Vaccine hesitancy is a complex issue, and no standalone strategy can address it. Despite the complexity of vaccine hesitancy and the broad range of its determinants, increasing awareness about benefits of vaccination, social media engagement activities, and carefully tailored strategies addressing the determinants of the hesitancy can bring about the desired change. Additional file 1.
  43 in total

1.  Eradicating diseases: The effect of conditional cash transfers on vaccination coverage in rural Nicaragua.

Authors:  Tania Barham; John A Maluccio
Journal:  J Health Econ       Date:  2009-01-15       Impact factor: 3.883

2.  Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: a randomized controlled trial.

Authors:  Annie Y S Lau; Vitali Sintchenko; Jacinta Crimmins; Farah Magrabi; Blanca Gallego; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2012-05-12       Impact factor: 4.497

3.  Text4Health: a qualitative evaluation of parental readiness for text message immunization reminders.

Authors:  Elyse Olshen Kharbanda; Melissa S Stockwell; Harrison W Fox; Vaughn I Rickert
Journal:  Am J Public Health       Date:  2009-10-15       Impact factor: 9.308

4.  Health education and peer leaders' role in improving low vaccination coverage in Akre district, Kurdistan Region, Iraq.

Authors:  M A Abdul Rahman; S A Al-Dabbagh; Q S Al-Habeeb
Journal:  East Mediterr Health J       Date:  2013-02       Impact factor: 1.628

5.  Evaluating a County-Sponsored Social Marketing Campaign to Increase Mothers' Initiation of HPV Vaccine for their Pre-teen Daughters in a Primarily Rural Area.

Authors:  Joan R Cates; Autumn Shafer; Sandra J Diehl; Allison M Deal
Journal:  Soc Mar Q       Date:  2011

6.  Maximizing immunization coverage through home visits: a controlled trial in an urban area of Ghana.

Authors:  R F Brugha; J P Kevany
Journal:  Bull World Health Organ       Date:  1996       Impact factor: 9.408

7.  Improving immunisation coverage in rural India: clustered randomised controlled evaluation of immunisation campaigns with and without incentives.

Authors:  Abhijit Vinayak Banerjee; Esther Duflo; Rachel Glennerster; Dhruva Kothari
Journal:  BMJ       Date:  2010-05-17

8.  Drug users' adherence to a 6-month vaccination protocol: effects of motivational incentives.

Authors:  Maxine L Stitzer; Tiffany Polk; Sarah Bowles; Thomas Kosten
Journal:  Drug Alcohol Depend       Date:  2009-10-13       Impact factor: 4.492

9.  Measuring vaccine hesitancy: The development of a survey tool.

Authors:  Heidi J Larson; Caitlin Jarrett; William S Schulz; Mohuya Chaudhuri; Yuqing Zhou; Eve Dube; Melanie Schuster; Noni E MacDonald; Rose Wilson
Journal:  Vaccine       Date:  2015-04-18       Impact factor: 3.641

10.  Effects of unconditional and conditional cash transfers on child health and development in Zimbabwe: a cluster-randomised trial.

Authors:  Laura Robertson; Phyllis Mushati; Jeffrey W Eaton; Lovemore Dumba; Gideon Mavise; Jeremiah Makoni; Christina Schumacher; Tom Crea; Roeland Monasch; Lorraine Sherr; Geoffrey P Garnett; Constance Nyamukapa; Simon Gregson
Journal:  Lancet       Date:  2013-02-27       Impact factor: 79.321

View more
  2 in total

1.  Impact of vaccine pause due to Thrombosis with thrombocytopenia syndrome (TTS) following vaccination with the Ad26.COV2.S vaccine manufactured by Janssen/Johnson & Johnson on vaccine hesitancy and acceptance among the unvaccinated population.

Authors:  Daniel A Salmon; Holly B Schuh; Rikki H Sargent; Alexis Konja; Steven A Harvey; Shaelyn Laurie; Brandy S Mai; Leo F Weakland; James V Lavery; Walter A Orenstein; Robert F Breiman
Journal:  PLoS One       Date:  2022-10-11       Impact factor: 3.752

Review 2.  Vaccine Hesitancy: Obstacles and Challenges.

Authors:  Preeti M Galagali; Aarti Avinash Kinikar; Vikram Sakaleshpur Kumar
Journal:  Curr Pediatr Rep       Date:  2022-10-08
  2 in total

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