Evidence map›Paper›PMID 34949613›Full record

ArticleBMJ open2021

Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study.

Operational Research and Coaching for Analysts (ORCA)- participants & team, Abyot Adane, Tewabe M Adege, Mesoud M Ahmed, Habtamu A Anteneh, Emiamrew S Ayalew, Della Berhanu, Netsanet Berhanu, Misrak Getnet, Tesfahun Bishaw and 33 more

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 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

43 authors.

Operational Research and Coaching for Analysts (ORCA)- participants & team
Abyot AdaneEthiopian Pharmaceutical Supply Agency, Addis Ababa, Ethiopia.
Tewabe M AdegeEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Mesoud M AhmedEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Habtamu A AntenehEthiopia Ministry of Health, Addis Ababa, Ethiopia.ORCID 0000-0003-3755-3357
Emiamrew S AyalewEthiopia Ministry of Health, Addis Ababa, Ethiopia.ORCID 0000-0002-4857-5802
Della BerhanuLondon School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-4984-893X
Netsanet BerhanuEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Misrak GetnetEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Tesfahun BishawEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Joanna BuszaLondon School of Hygiene & Tropical Medicine, London, UK.
Eshetu CherinetEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Mamo DerejeEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Tsega H DestaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Abera DibabeEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Heven S FirewEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Freweini GebrehiwotEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Etenesh GebreyohannesEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Zenebech GellaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Addis GirmaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Zuriash HalefomEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Sorsa F JamaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Annika JansonLondon School of Hygiene & Tropical Medicine, London, UK.
Binyam KemalEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Abiy KiflomEthiopian Pharmaceutical Supply Agency, Addis Ababa, Ethiopia.
Yidnekachew D MazengiyaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Kalkidan MeketeEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Magdelawit MengeshaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Meresha W NegaEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Israel A OtoroEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Joanna SchellenbergLondon School of Hygiene & Tropical Medicine, London, UK.
Tefera TaddeleEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Gulilat TeferaEthiopian Pharmaceutical Supply Agency, Addis Ababa, Ethiopia.
Admasu TeketelEthiopian Pharmaceutical Supply Agency, Addis Ababa, Ethiopia.
Miraf TesfayeEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Tsion TsegayeEthiopian Pharmaceutical Supply Agency, Addis Ababa, Ethiopia.
Kidist WoldesenbetEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Yakob WondaradEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Zemzem M YusufEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Kidist ZealiyasEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Mebratom H ZeweliEthiopia Ministry of Health, Addis Ababa, Ethiopia.
Lars Åke PerssonLondon School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0003-0710-7954
Seblewengel LemmaLondon School of Hygiene & Tropical Medicine, London, UK Seblewengel.abreham@lshtm.ac.uk.ORCID 0000-0001-5910-3723

Funding

Gates Foundation INV-010320
6 · The paper itself

Abstract

objectiveA routine health information system (RHIS) enables decision making in the healthcare system. We aimed to analyse data quality at the district and regional level and explore factors and perceptions affecting the quality and use of routine data.

designThis was a mixed-methods study. We used the WHO toolkit for analysing data quality and interviewed staff at the point of data generation and along with the flow of data. Data were analysed using the Performance of Routine Information System Management framework.

settingThis study was performed in eight districts in four regions of Ethiopia. The study was nested within a 2-year programme of the Operational Research and Coaching for government Analysts.

participantsWe visited 45 health posts, 1 district hospital, 16 health centres and 8 district offices for analysis of routine RHIS data and interviewed 117 staff members for the qualitative assessment. OUTCOME MEASURES: We assessed availability of source documents, completeness, timeliness and accuracy of reporting of routine data, and explored data quality and use perceptions.

resultsThere was variable quality of both indicator and data element. Data on maternal health and immunisation were of higher quality than data on child nutrition. Issues ranged from simple organisational factors, such as availability of register books, to intricate technical issues, like complexity of indicators and choice of denominators based on population estimates. Respondents showed knowledge of the reporting procedures, but also demonstrated limited skills, lack of supportive supervision and reporting to please the next level. We saw limited examples of the use of data by the staff who were responsible for data reporting.

conclusionWe identified important organisational, technical, behavioural and process factors that need further attention to improve the quality and use of RHIS data in Ethiopia.

Indexed as

Data AccuracyHealth Information SystemsChildData CollectionEthiopiaFemaleHealth FacilitiesHumanshealth informaticshealth services administration & managementpublic health

Identifiers

PMID34949613
PMCPMC8710857

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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.