Evidence map›Paper›PMID 38331856›Full record

ArticleBMJ open2024

Assessing the performance of the family folder system for collecting community-based health information in Tigray Region, North Ethiopia: a capture-recapture study.

Atakelti Abraha Derbew, Hagos Godefay Debeb, John Kinsman, Anna Myléus, Peter Byass

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Atakelti Abraha Derbew *Ministry of Health, Addis Ababa, Ethiopia atab0002@ad.umu.se.ORCID 0000-0002-8886-7199
Hagos Godefay Debeb *Tigray Health Bureau, Meklle, Tigray, Ethiopia.
John KinsmanDepartment for Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Anna MyléusDepartment for Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Peter ByassDepartment for Epidemiology and Global Health, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess completeness and accuracy of the family folder in terms of capturing community-level health data. STUDY

designA capture-recapture method was applied in six randomly selected districts of Tigray Region, Ethiopia.

participantsChild health data, abstracted from randomly selected 24 073 family folders from 99 health posts, were compared with similar data recaptured through household survey and routine health information made by these health posts. PRIMARY AND SECONDARY OUTCOME MEASURES: Completeness and accuracy of the family folder data; and coverage selected child health indicators, respectively.

resultsDemographic data captured by the family folders and household survey were highly concordant, concordance correlation for total population, women 15-49 years age and under 5-year child were 0.97 (95% CI 0.94 to 0.99, p<0.001), 0.73 (95% CI 0.67 to 0.88) and 0.91 (95% CI 0.85 to 0.96), respectively. However, the live births, child health service indicators and child health events were more erratically reported in the three data sources. The concordance correlation among the three sources, for live births and neonatal deaths was 0.094 (95% CI -0.232 to 0.420) and 0.092 (95% CI -0.230 to 0.423) respectively, and for the other parameters were close to 0.

conclusionThe family folder system comprises a promising development. However, operational issues concerning the seamless capture and recording of events and merging community and facility data at the health centre level need improvement.

Indexed as

Child Health ServicesPerinatal DeathChildEthiopiaFemaleHumansInfant, NewbornPublic HealthRisk Factorscommunity child healthhealth informaticsinformation management

Identifiers

PMID38331856
PMCPMC10860088

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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.