Evidence map›Paper›PMID 30856239›Full record

ArticlePloS one2019

A quality assessment of Health Management Information System (HMIS) data for maternal and child health in Jimma Zone, Ethiopia.

Mariame Ouedraogo, Jaameeta Kurji, Lakew Abebe, Ronald Labonté, Sudhakar Morankar, Kunuz Haji Bedru, Gebeyehu Bulcha, Muluemebet Abera, Beth K Potter, Marie-Hélène Roy-Gagnon and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

11 authors.

Mariame OuedraogoSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Jaameeta KurjiSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Lakew AbebeDepartment of Health Behavior and Society, Public Health Faculty, Jimma University, Jimma, Oromiya, Ethiopia.
Ronald LabontéSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Sudhakar MorankarDepartment of Health Behavior and Society, Public Health Faculty, Jimma University, Jimma, Oromiya, Ethiopia.
Kunuz Haji BedruJimma Zonal Health Office, Jimma, Oromiya, Ethiopia.
Gebeyehu BulchaJimma Zonal Health Office, Jimma, Oromiya, Ethiopia.
Muluemebet AberaDepartment of Population and Family Health, Public Health Faculty, Jimma University, Jimma, Oromiya, Ethiopia.
Beth K PotterSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Marie-Hélène Roy-GagnonSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Manisha A KulkarniSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-5084-4960

Funding

CIHR
6 · The paper itself

Abstract

Health management information system (HMIS) data are important for guiding the attainment of health targets in low- and middle-income countries. However, the quality of HMIS data is often poor. High-quality information is especially important for populations experiencing high burdens of disease and mortality, such as pregnant women, newborns, and children. The purpose of this study was to assess the quality of maternal and child health (MCH) data collected through the Ethiopian Ministry of Health's HMIS in three districts of Jimma Zone, Oromiya Region, Ethiopia over a 12-month period from July 2014 to June 2015. Considering data quality constructs from the World Health Organization's data quality report card, we appraised the completeness, timeliness, and internal consistency of eight key MCH indicators collected for all the primary health care units (PHCUs) located within three districts of Jimma Zone (Gomma, Kersa and Seka Chekorsa). We further evaluated the agreement between MCH service coverage estimates from the HMIS and estimates obtained from a population-based cross-sectional survey conducted with 3,784 women who were pregnant in the year preceding the survey, using Pearson correlation coefficients, intraclass correlation coefficients (ICC), and Bland-Altman plots. We found that the completeness and timeliness of facility reporting were highest in Gomma (75% and 70%, respectively) and lowest in Kersa (34% and 32%, respectively), and observed very few zero/missing values and moderate/extreme outliers for each MCH indicator. We found that the reporting of MCH indicators improved over time for all PHCUs, however the internal consistency between MCH indicators was low for several PHCUs. We found poor agreement between MCH estimates obtained from the HMIS and the survey, indicating that the HMIS may over-report the coverage of key MCH services, namely, antenatal care, skilled birth attendance and postnatal care. The quality of MCH data within the HMIS at the zonal level in Jimma, Ethiopia, could be improved to inform MCH research and programmatic efforts.

Indexed as

Child HealthMaternal Health ServicesAdolescentAdultChildCross-Sectional StudiesData AccuracyEthiopiaFemaleHumansInfant, NewbornManagement Information SystemsMaternal-Child Health ServicesMiddle AgedPregnancyYoung Adult

Identifiers

PMID30856239
PMCPMC6411115

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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.