Evidence map›Paper›PMID 36051748›Full record

ArticleVaccine: X2022

Does a pay-for-performance health service model improve overall and rural-urban inequity in vaccination rates? A difference-in-differences analysis from the Gambia.

Alieu Sowe, Fredinah Namatovu, Bai Cham, Per E Gustafsson

Abstract read
In one paragraph

Article in Vaccine: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

4 authors.

Alieu SoweDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Fredinah NamatovuDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Bai ChamMedical Research Council Unit The Gambia at the London, School of Hygiene and Tropical Medicine, Bakau, Gambia.
Per E GustafssonDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess whether the implementation of a results-based financing (RBF) project in The Gambia resulted in (1) improved national vaccination coverage (2) higher coverage in intervention than non-intervention areas, and (3) improvement in rural-urban coverage inequality. Methods: The study used a difference-in-differences design, based on repeated cross-sectional data from The Gambian Demographic and Health Surveys 2013 (N = 1650) and 2020 (N = 1456). Full vaccination (receipt of one BCG, 3 OPV, 3 DTP, and 1 measles-containing vaccine doses) and rural-urban vaccination inequality were our outcome variables. The intervention, RBF, was implemented in 5 of the 7 health regions. Covariates controlled for included child's sex, child's birth order number, socioeconomic status, ethnicity, distance from health facility, maternal education, mother's age group, mother's marital status, and mother's work status. Poisson regression with robust variance was used to estimate whether coverage changed, and difference-in-differences and difference-in-differences-in-differences were used to 'assess differences in vaccination coverage change and change in inequalities, respectively. Results: Total crude full vaccination coverage in The Gambia was 76% in 2013 and 84.6% in 2020. Overall vaccination significantly increased by 16% (95% CI: 9% to 24%) in 2020 compared to 2013, but with a smaller increase in intervention relative to non-intervention areas [PRR 0.88 (CI: 0.78-0.99)]. Rural-urban inequality in vaccination coverage decreased more - by 13% [0.87 (0.78-0.98)] - in RBF than non-RBF regions. Conclusion: Vaccination coverage improved over the study period though we have no evidence to ascribe the coverage gains to the RBF intervention. However, our study suggests that the RBF project has contributed to reducing rural-urban inequalities in the regions it was implemented.

Indexed as

Pay-for-performanceResidential inequalitiesResults-based financingVaccination coverageVaccination inequalities

Identifiers

PMID36051748
PMCPMC9424534

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Registered trials

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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.