Evidence map›Paper›PMID 38663904›Full record

ArticleBMJ global health2024

Building consensus on common features and interoperability use cases for community health information systems: a Delphi study.

Isaac Holeman, David Citrin, Mohamed Albirair, Nancy Puttkammer, Madeleine Ballard, Brian DeRenzi, James O'Donovan, Beatrice Wasunna

Abstract readConsensus Statement
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 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

8 authors.

Isaac HolemanDepartment of Global Health, University of Washington, Seattle, Washington, USA.
David CitrinDepartment of Global Health, University of Washington, Seattle, Washington, USA dcitrin@uw.edu.ORCID http://orcid.org/0000-0002-3125-4471
Mohamed AlbirairDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Nancy PuttkammerDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Madeleine BallardCommunity Health Impact Coalition, New York, New York, USA.
Brian DeRenziDepartment of Global Health, University of Washington, Seattle, Washington, USA.
James O'DonovanCommunity Health Impact Coalition, New York, New York, USA.
Beatrice WasunnaMedic, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInformation systems for community health have become increasingly sophisticated and evidence-based in the last decade and they are now the most widely used health information systems in many low-income and middle-income countries. This study aimed to establish consensus regarding key features and interoperability priorities for community health information systems (CHISs).

methodsA Delphi study was conducted among a systematically selected panel of CHIS experts. This impressive pool of experts represented a range of leading global health institutions, with gender and regional balance as well as diversity in their areas of expertise. Through five rounds of iterative surveys and follow-up interviews, the experts established a high degree of consensus. We supplemented the Delphi study findings with a series of focus group discussions with 10 community health worker (CHW) leaders.

resultsCHISs today are expected to adapt to a wide range of local contextual requirements and to support and improve care delivery. While once associated with a single role type (CHWs), these systems are now expected to engage other end users, including patients, supervisors, clinicians and data managers. Of 30 WHO-classified digital health interventions for care providers, experts identified 23 (77%) as being important for CHISs. Case management and care coordination features accounted for more than one-third (14 of 37, 38%) of the core features expected of CHISs today, a higher proportion than any other category. The highest priority use cases for interoperability include CHIS to health management information system monthly reporting and CHIS to electronic medical record referrals.

conclusionCHISs today are expected to be feature-rich, to support a range of user roles in community health systems, and to be highly adaptable to local contextual requirements. Future interoperability efforts, such as CHISs in general, are expected not only to move data efficiently but to strengthen community health systems in ways that measurably improve care.

Indexed as

Delphi TechniqueHealth Information SystemsCommunity Health ServicesCommunity Health WorkersFemaleFocus GroupsHealth Information InteroperabilityHumansMaleglobal healthother study design

Identifiers

PMID38663904
PMCPMC11043741

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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.