Evidence map›Paper›PMID 31640687›Full record

SynthesisBMC health services research2019

Systematic review of the costs and effectiveness of interventions to increase infant vaccination coverage in low- and middle-income countries.

Cristina Munk, Allison Portnoy, Christian Suharlim, Emma Clarke-Deelder, Logan Brenzel, Stephen C Resch, Nicolas A Menzies

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 8 pooled it
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 8 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  13. Factors associated with vaccination coverage: a population-based survey in Vitória, Espírito Santo, Brazil, 2020-2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
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  15. Increasing immunization coverage, Solomon Islands, 2022.Bulletin of the World Health Organization · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Cristina MunkDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Allison PortnoyDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. aportnoy@mail.harvard.edu.ORCID http://orcid.org/0000-0002-8467-1324
Christian SuharlimCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Emma Clarke-DeelderDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Logan BrenzelBill & Melinda Gates Foundation, Seattle, WA, USA.
Stephen C ReschCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nicolas A MenziesDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harvard Global Health Institute · USGates Foundation · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, several large studies have assessed the costs of national infant immunization programs, and the results of these studies are used to support planning and budgeting in low- and middle-income countries. However, few studies have addressed the costs and cost-effectiveness of interventions to improve immunization coverage, despite this being a major focus of policy attention. Without this information, countries and international stakeholders have little objective evidence on the efficiency of competing interventions for improving coverage.

methodsWe conducted a systematic literature review on the costs and cost-effectiveness of interventions to improve immunization coverage in low- and middle-income countries, including both published and unpublished reports. We evaluated the quality of included studies and extracted data on costs and incremental coverage. Where possible, we calculated incremental cost-effectiveness ratios (ICERs) to describe the efficiency of each intervention in increasing coverage.

resultsA total of 14 out of 41 full text articles reviewed met criteria for inclusion in the final review. Interventions for increasing immunization coverage included demand generation, modified delivery approaches, cash transfer programs, health systems strengthening, and novel technology usage. We observed substantial heterogeneity in costing methods and incompleteness of cost and coverage reporting. Most studies reported increases in coverage following the interventions, with coverage increasing by an average of 23 percentage points post-intervention across studies. ICERs ranged from $0.66 to $161.95 per child vaccinated in 2017 USD. We did not conduct a meta-analysis given the small number of estimates and variety of interventions included.

conclusionsThere is little quantitative evidence on the costs and cost-effectiveness of interventions for improving immunization coverage, despite this being a major objective for national immunization programs. Efforts to improve the level of costing evidence-such as by integrating cost analysis within implementation studies and trials of immunization scale up-could allow programs to better allocate resources for coverage improvement. Greater adoption of standardized cost reporting methods would also enable the synthesis and use of cost data.

Indexed as

Cost-Benefit AnalysisDeveloping CountriesHumansImmunization ProgramsIncomeInfantQuality ImprovementVaccination Coverage

Identifiers

PMID31640687
PMCPMC6806517
OpenAlexW2981591891

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.