Evidence map›Paper›PMID 35462106›Full record

ArticleSocial science & medicine (1982)2022

A standardized approach for measuring multivariate equity in vaccination coverage, cost-of-illness, and health outcomes: Evidence from the Vaccine Economics Research for Sustainability & Equity (VERSE) project.

Bryan Patenaude, Deborah Odihi, Salin Sriudomporn, Joshua Mak, Elizabeth Watts, Gatien de Broucker

Registry-linked trialAbstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06819839 (Impact of a Community Health Worker Care Model to Reduce Cardiovascular Disease Risk Among Conflict-affected Populations in Eastern Myanmar), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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.

NCT06819839 nacompletednot on this mapstarted 2024, after this paper: background citation

Impact of a Community Health Worker Care Model to Reduce Cardiovascular Disease Risk Among Conflict-affected Populations in Eastern Myanmar: a Cluster Randomized Controlled Trial (cRCT)

TypeinterventionalSponsorCommunity Partners InternationalRan2024 to 2025Enrolled213ConditionsCardiovascular Diseases, Hypertension, DiabetesArmsVillage Health Worker (VHW) Care Model
3 · Its place in the literature

Who cites it

11 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

6 authors.

Bryan PatenaudeJohns Hopkins Bloomberg School of Public Health, Department of International Health and International Vaccine Access Center (IVAC), USA. Electronic address: bpatena1@jhu.edu.
Deborah OdihiJohns Hopkins Bloomberg School of Public Health, Department of International Health and International Vaccine Access Center (IVAC), USA.
Salin SriudompornJohns Hopkins Bloomberg School of Public Health, Department of International Health and International Vaccine Access Center (IVAC), USA.
Joshua MakJohns Hopkins Bloomberg School of Public Health, Department of International Health and International Vaccine Access Center (IVAC), USA.
Elizabeth WattsJohns Hopkins Bloomberg School of Public Health, Department of International Health and International Vaccine Access Center (IVAC), USA; University of Minnesota School of Public Health, Department of Health Policy & Management, USA.
Gatien de BrouckerJohns Hopkins Bloomberg School of Public Health, Department of International Health and International Vaccine Access Center (IVAC), USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following a call from the World Health Organization in 2017 for a methodology to monitor immunization coverage equity in line with the 2030 Agenda for Sustainable Development, this study outlines a standardized approach for measuring multivariate equity in vaccine coverage, economic impact, and health outcomes. The Vaccine Economics Research for Sustainability & Equity (VERSE) composite vaccination equity measurement approach is derived from literature on the measurement of socioeconomic inequality combined with measures of direct unfairness in healthcare access. The final metrics take the form of a concentration index for vaccination coverage where individuals are ranked by multivariate unfairness in access and an absolute equity gap representing the difference in coverage between the top and bottom quintiles of individuals ranked by multivariate unfairness in access. Regression decomposition is applied to the concentration index to determine each factor's relative influence on observed inequity. These methods are applied to India's National Family Health Survey (NFHS) from 2015 to 2016 to assess the equity in being fully-immunized for age vaccination coverage and zero-dose status. The multivariate absolute equity gap is 0.120 (SE: 003) and 0.371 (SE: 0.008) for zero-dose status and fully-immunized for age, respectively. Therefore, the most disadvantaged quintile is 12 percentage points more likely to be zero-dose than the most advantaged quintile and 37.1 percentage points less likely to be fully immunized. The primary correlate of unfair disadvantage for both outcomes is maternal education accounting for 27.4% and 19.1% of observed inequality. The VERSE model provides a standardized approach for measuring multivariate vaccine coverage equity. It also allows policymakers to determine the relative magnitude of factors influencing multivariate equity rather than only the correlates of socioeconomic or bivariate equity. This framework could be adapted to track equitable progress toward Universal Health Coverage (UHC) or outcomes beyond the vaccine space.

Indexed as

Health EquityVaccinesHealth Services AccessibilityHumansSocioeconomic FactorsUniversal Health InsuranceVaccination CoverageVaccines

Identifiers

PMID35462106
PMCPMC9127392

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Registered trials

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.