Understanding interventions for improving routine immunization coverage in children in low- and middle-income countries: a systematic review protocol
© Machingaidze et al.; licensee BioMed Central Ltd. 2013
Received: 6 August 2013
Accepted: 23 October 2013
Published: 21 November 2013
Virtually all low- and middle-income countries are dependent on the World Health Organization’s Expanded Program on Immunization for delivery of vaccines to children. The Expanded Program on Immunization delivers routine immunization services from health facilities free of charge. Understanding interventions for improving immunization coverage remains key in achieving universal childhood immunization.
We will conduct a systematic review that aims to assess the effectiveness of the full range of potential interventions to improve routine immunization coverage in children in low- and middle-income countries. We will include intervention studies, as well as observational studies. We will search the Cochrane Database of Systematic Reviews (CDSR), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, electronic databases for eligible studies published by 31 August 2013. At least two authors will independently screen search outputs, select studies, extract data and assess the risk of bias (using separate criteria for interventions and observational studies); resolving any disagreements by discussion and consensus. The use of logic models and the Cochrane Complexity Matrix will be explored in order to better understand and contextualize studies. We will express the result of each study as a risk ratio with its corresponding 95% confidence intervals for dichotomous data, or mean difference with its standard deviation for continuous data. We will conduct meta-analysis for the same type of participants, interventions, study designs, and outcome measures where homogeneity of data allows. Use of harvest plots may be explored as an alternative. Heterogeneity will be assessed using the χ2 test of heterogeneity, and quantified using the I2 statistic. This protocol has not been registered with PROSPERO.
This review will allow us to document evidence across a broad range of intervention types for improving routine immunization coverage in children and also distinguish between those that are well supported by evidence (to direct policy recommendations) and those that are not well supported (to direct research agenda).
KeywordsExpanded Program on Immunization (EPI) Routine immunization Routine vaccination Children Low- and middle-income countries
Following the successful eradication of smallpox, the World Health Organization (WHO) launched the Expanded Program on Immunization (EPI) in 1974 with the hope of achieving 80% coverage of children less than 1 year of age with vaccines against six major causes of death among children (measles, diphtheria, tetanus, polio, tuberculosis and pertussis) by 1990 [1, 2]. Virtually all low- and middle-income countries (LMICs) are dependent on EPI for delivery of vaccines to children. EPI delivers routine immunization services from health facilities free of charge. ‘Routine immunization’ services rely on residents going to fixed sites to receive a service that is offered regularly throughout the year. Routine immunization services may also include mobile teams, which take services at regular intervals to populations without nearby health centers; and ‘outreach activities’ which reach out regularly to the community to provide a service or retrieve defaulters .
Vaccines recommended for children by the World Health Organization (WHO) typically given in low- and middle-income countries (LMICs) a
Birth or soon after
Birth, 6, 10, 14 weeks
6, 10, 14 weeks
Birth, 6, 10, 14 weeks
6, 10, 14 weeks
6, 10, 14 weeks
6, 10, 14 weeks
9 or 12 months
9, 15 months
9 to 13 years
9 to 12 months
Coverage with three doses of the diphtheria-tetanus-pertussis vaccine (DTP3) by 1 year of age is widely accepted as a proxy for measuring overall EPI performance. In 2011, global DTP3 coverage reached 83%. However, Africa lagged behind and coverage reached only 74% . Poor vaccination coverage in LMICs has been attributed to several reasons associated with immunization systems, parental attitude and knowledge, communication and information, and family characteristics [5–8]. Therefore, interventions for improving childhood immunization coverage may target parents and caregivers in the community, the service provider, the health system, or a unique combination of any of these. Interventions for improving childhood immunization coverage in LMICs have recently been assessed in a systematic review . However, only randomized controlled trials (RCTs), non-randomized controlled trials (NRCTs) and interrupted time series (ITS) studies were eligible for inclusion in the review, and only six studies met the inclusion criteria. As not all health systems interventions lend themselves to being investigated through RCTs, it is important to look beyond these study designs of high internal validity to identify other interventions of potential relevance.
We aim to assess the effectiveness of the full range of potential interventions to improve routine immunization coverage in children in LMICs. The review will address the question of ‘which interventions work?’ and provide some insight towards ‘how, why, and for whom these interventions work?’.
A logic model will be developed to help with scoping the review, defining and conducting the review and making the review relevant to policy and practice , using templates developed as part of the EU-funded INTEGRATE-HTA project (Anke Rohwer, personal communication).
We will also attempt to capture the complexity of the different interventions included in the review by assessing the following domains proposed as part of a new tool developed within the Methodological Investigation of Cochrane Reviews of Complex Interventions (MICCI) project (Simon Lewin, personal communication): (1) number of discrete, active components included in the intervention compared with the control (or usual care); (2) number of behaviors or actions of intervention recipients or participants to which the intervention is directed; (3) number of organizational levels targeted by the intervention; (4) degree of flexibility or tailoring permitted across sites or individual intervention implementation/application; (5) the level of skill required by those delivering the intervention; and (6) the level of skill required for the targeted behavior when entering the study by those receiving the intervention (consumers, professionals, planners) in order to meet the intervention’s objectives
Types of studies to be included
RCTs, cluster randomized controlled trials (cRCTs), NRCTs, interrupted time series studies (ITSs) and controlled before-and-after studies (CBAs) will all be included.
Uncontrolled before-and-after studies, cohort studies, case-control studies and cross-sectional studies will qualify for inclusion.
Types of studies to be excluded
Supplementary immunization activities such as mass campaigns and school-based immunization services will be excluded.
Types of participants
Participants will include: children under 10 years of age receiving WHO recommended vaccines through ‘routine immunization services’, pregnant women receiving tetanus toxoid (TT) vaccination according to the national immunization schedule, caregivers of children or pregnant women who are receiving the vaccines, healthcare workers administering the vaccines and health facilities or health programs providing immunization services.
Types of interventions
Interventions for improving routine immunization coverage will be categorized in the following four groups, as implemented in a previous systematic review : (1) patient-oriented or community-oriented interventions, (2) provider-oriented interventions, (3) health-system interventions, and (4) multifaceted interventions (unique combinations of any of the above).
The primary outcome will be the proportion of children who have been fully immunized by the recommended age according to the national immunization schedule, or an appropriate proxy measure such as DTP3 coverage.
Secondary outcomes will be identified from included studies. These may include, but are not limited to: (1) other measures of immunization program performance as reported by the authors, for example, coverage with a specific vaccine, vaccine dropout rate, and adverse events following immunization (AEFI); (2) occurrence of vaccine preventable diseases (VPDs); (3) attitude and care-seeking behavior of caregivers towards immunization; (4) attitude and skills of healthcare workers; (5) characteristics of health facilities or health programs providing immunization services; (6) implementation of intervention; and (7) cost of intervention.
Search strategy and sources
The following electronic databases will be searched for peer-reviewed literature: Cochrane Database of Systematic Reviews (CDSR), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE published by 31 August 2013.
A comprehensive search strategy will be developed that includes terms for immunization, coverage and immunization programs; as well as terms for children. The search strategy will be adapted to suit each individual database using applicable controlled vocabulary (see Additional file 1 for the proposed MEDLINE search strategy).
Data collection and analysis
Two authors (SM and CSW) will screen titles and abstracts of studies for potential eligibility. Following this, full texts of potentially eligible studies will be retrieved. Two authors (SM and CSW) will independently apply inclusion criteria to identify relevant studies to be included in the review. Any disagreements between the two authors regarding study eligibility will be resolved by discussion and consensus, failing which a third author (ER, RvK or GDH) will arbitrate. We will provide a table with characteristics of included studies, and another of excluded studies with reasons for their exclusion, in the final review.
A data extraction form will be developed by consultation and consensus among all authors. Two authors (SM and CSW) will independently extract data and assess risk of bias in included studies, compare their results, and resolve any discrepancies by discussion and consensus. We plan to analyze the data using Review Manager (RevMan).
Assessment of risk of bias
The quality of studies will be assessed using the modified GATE tool for experimental studies and the modified GATE tool for observational studies. Details of both of these tools are provided in the updated NICE Public Health Guidance manual for 2013 .
Two authors (SM and CSW) will apply the inclusion criteria, and any disagreements will be resolved by discussion and consensus; failing which we will consult a third author (ER, RvK or GDH).
Measures of treatment effect and data synthesis
We will express the result of each study as a risk ratio with its corresponding 95% confidence intervals for dichotomous data, or mean difference with its standard deviation for continuous data. We will conduct meta-analysis for the same type of participants, interventions, study designs, and outcome measures where homogeneity of data allows. We will use the random-effects model as the default procedure for meta-analyses due to anticipated heterogeneity, even if the latter is not statistically significant. If meta-analysis is not feasible due to significant statistical heterogeneity, we will explore the use of harvest plots. Harvest plots are a novel method for synthesizing evidence about the differential effects of heterogeneous and complex interventions, allowing review authors to maximize the learning potential derived from the studies included, to tailor the characteristics of studies that are most relevant within a particular body of evidence, and to aid in visualizing the results .
Assessment of heterogeneity
We will assess statistical heterogeneity using the χ2 test of homogeneity and quantify it using the I2 test statistic. We will describe heterogeneity as high if the I2 test statistic is greater than 50%, and will consider it statistically significant if the P value for the χ2 test is ≤0.1. If studies are found to be homogeneous (that is P value for the χ2 test is >0.1), results will be pooled by random effects meta-analysis, stratified by study design. Subgroup analyses will be conducted where possible, with subgroups defined by continent (Africa, Asia, Europe, Latin America and the Caribbean), setting (for example, urban vs rural), and vaccine delivery strategies. We will also tabulate heterogeneity in context and implementation between studies, using a new tool developed as part of the EU-funded INTEGRATE-HTA project (Lisa Pfadenhauer, personal communication).
Assessment of reporting bias
A funnel plot will be used to investigate the risk of publication bias by intervention type. The funnel plot will be visually examined for asymmetry. Provided 10 or more studies are included in the analysis for each intervention type, we will use the Beggs-Egger test to assess for funnel plot asymmetry.
If there is sufficient data, we will conduct sensitivity analyses to assess the effects of missing data, study design, and risk of bias on our primary meta-analyses. When we find a study with missing data, we will first perform available cases analysis; followed by sensitivity analyses according to imputations (that is, from assuming that all missing data are failures to assuming that all missing data are successes). We will also conduct sensitivity analyses to investigate the robustness of the results to study design (intervention vs correlation), method of meta-analysis (that is, random effects vs fixed effect), and risk of bias (that is, excluding studies with high risk of bias).
This protocol has not been registered with PROSPERO.
Expected significance of the study
The findings of this extensive review will provide a deeper understanding of not only which interventions have been shown to work for improving vaccination coverage in LMICs, but provide insight on how they work, why they work, and for whom these interventions work. The review will allow us to document evidence across a broad range of intervention types and also distinguish between those that are well supported by evidence (to direct policy recommendations) and those that are not well supported (to direct research agenda). In addition, understanding and documenting of study contextual factors will allow for greater understanding of external validity through detailed assessment and facilitate better replication of interventions in other locations.
With an estimated 22.4 million children reported to not have received the DTP3 vaccine in 2011, where more than 70% of these children live in 10 LMICs countries (Afghanistan, Chad, Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Philippines and South Africa), identifying effective interventions for improving vaccination coverage in LMICs remains key in efforts to achieve universal childhood immunization .
This study will be conducted in partial fulfillment of the degree Doctor of Philosophy in International Health (by SM) at the University of Munich (LMU). SM was awarded a doctoral scholarship from the German Academic exchange (DAAD) and the German Federal Ministry for Economic Cooperation and Development (BMZ). This work will be based on research supported in part by the National Research Foundation of South Africa (grant specific unique reference number (UID) 85493).
The authors would also like to thank Joy Oliver and colleagues from the South African Cochrane Centre for their assistance in developing and conducting the database searches.
- Okwo-Bele JM, Cherian T: The expanded programme on immunization: a lasting legacy of smallpox eradication. Vaccine. 2001, 29 (Suppl 4): D74-D79.Google Scholar
- Piotrow PT: Population report. Information & Knowledge for Optimal Health Project (INFO). 1992, Baltimore, MD: Johns Hopkins UniversityGoogle Scholar
- Dietz V, Cutts F: The use of mass campaigns in the Expanded Programme on Immunization (EPI): a review of reported advantages and disadvantages. Public Health Policy. 1997, 27: 767-790.Google Scholar
- World Health Organization: Global Immunization Data. [http://www.who.int/immunization_monitoring/Global_Immunization_Data.pdf]
- Rainey J, Watkins M, Ryman T, Sandhu P, Bo A, Banerjee K: Reasons related to non-vaccination and under-vaccination of children in low and middle income countries: findings from a systematic review of the published literature, 1999-2000. Vaccine. 2011, 29: 8215-8221. 10.1016/j.vaccine.2011.08.096.View ArticlePubMedGoogle Scholar
- Favin M, Steinglass R, Fields R, Banerjee K, Sawhney M: Why Children are not vaccinated: a review of the grey literature. Int Health. 2012, 4: 229-238. 10.1016/j.inhe.2012.07.004.View ArticlePubMedGoogle Scholar
- Bosch-Capblanch X, Banerjee K, Burton A: Unvaccinated children in years of increasing coverage: how many and who are they? Evidence from 96 low- and middle-income countries. Trop Med Int Health. 2012, 17: 697-710. 10.1111/j.1365-3156.2012.02989.x.View ArticlePubMedGoogle Scholar
- Wiysonge CS, Uthman O, Ndumbe P, Hussey GD: Individual and contextual factors associated with low childhood immunisation coverage in sub-Saharan Africa: a multi-level analysis. PLoS One. 2012, 7: e37905-10.1371/journal.pone.0037905.View ArticlePubMedPubMed CentralGoogle Scholar
- Oyo-Ita A, Nwachukwu C, Qringanje C, Meremikwu M: Interventions for improving coverage of child immunization in low-income and middle-income countries. Cochrane Database Syst Rev. 2011, 7: CD008145-PubMedGoogle Scholar
- Anderson L, Petticrew M, Rehfuess E, Armstrong R, Ueffing E, Baker P, Francis D, Tugwell P: Using logic models to capture complexity in systematic reviews. Res Syn Meth. 2011, 2: 33-42. 10.1002/jrsm.32.View ArticleGoogle Scholar
- NICE: NICE Public Health Guidance Manual for 2013. [http://publications.nice.org.uk/methods-for-the-development-of-nice-public-health-guidance-third-edition-pmg4]
- Ogilvie D, Fayter D, Petticrew SA, Thomas S, Whitehead M, Worthy G: The harvest plot: a method for synthesising evidence about the differential effects of interventions. BMC Med Res Methodol. 2008, 8: 8-10.1186/1471-2288-8-8.View ArticlePubMedPubMed CentralGoogle Scholar
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