Evidence map›Paper›PMID 34992789›Full record

ArticleDigital health

Data Equity to Advance Health and Health Equity in Low- and Middle-Income Countries: A Scoping Review.

So O'Neil, Sydney Taylor, Anitha Sivasankaran

Abstract readScoping Review
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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.

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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Monitoring of health inequalities to improve health equity.Bulletin of the World Health Organization · 2025
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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

3 authors.

So O'NeilHealth Foundations, Mathematica, Cambridge, MA 02139, United States.ORCID https://orcid.org/0000-0003-1780-4016
Sydney TaylorMathematica, Seattle, WA 98121, United States.ORCID https://orcid.org/0000-0001-5495-6866
Anitha SivasankaranMathematica, Oakland, CA 94612, United States.ORCID https://orcid.org/0000-0003-1162-4268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess a common hypothesis that data serve as a mechanism to improve health and health equity in low-and middle-income countries (LMICs), we conducted a synthesis of the evidence about the linkage between data capabilities in LMICs and health outcomes.

methodsWe searched and reviewed peer-reviewed and grey literature published in the past decade that focused on at least one aspect of health data or health equity or provided insights on the relationship between data use and improved health outcomes, decision-making, or both. We supplemented this with expert interviews and convenience-sampled literature.

resultsOf the 50 included articles, 33 discussed data collection, with 23 stating that poor accuracy, reliability, and completeness hindered data-informed decision-making. Of 27 articles discussing data access, 18 described how lack of interoperability between data systems hampered governments' and other organizations' ability to leverage the full value of data available. Of 19 articles discussing data use, 13 discussed how data were not getting to those doing work on the ground. Although key informants postulated a virtuous cycle between data and improved health outcomes, evidence did not support this connection.

conclusionsFindings indicate better data might improve health service delivery. However, more work is needed to examine whether improvements in data yield improvements in health outcomes in LMICs. Our conceptual framework of data equity for health and health equity developed through this scoping review helps identify the key components along which to assess improvements in LMICs' data capabilities.

Indexed as

conceptual frameworkdata accessdata collectiondata-driven decision-makingData equitydata usehealth equityhealth outcomeslow- and middle-income countries

Identifiers

PMID34992789
PMCPMC8725220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.