Routine health management information system data in Ethiopia: consistency, trends, and challenges

Autor: Binyam Kemal, Tewabe M. Adege, Misrak Getnet Beyene, Eshetu Cherinet, Habtamu A. Anteneh, Admasu Teketel, Israel A. Otoro, Della Berhanu, Tefera Taddele, Freweini Gebrehiwot, Magdelawit Mengesha, Sorsa F. Jama, Annika Janson, Carina Källestål, Lars Åke Persson, Yidnekachew D. Mazengiya, Yakob Wondarad, Miraf Tesfaye, Etenesh Gebreyohannes, Zemzem M. Yosuf, Gulilat Tefera, Netsanet Berhanu, Zuriash Halefom, Mesoud M. Ahmed, Emiamrew S. Ayalew, Seblewengel Lemma, Abera Dibabe, Kidist Zealiyas, Mebratom H. Zeweli, Addis Girma, Abyi Kiflom, Meresha W. Nega, Heven S. Firew, Joanna Schellenberg, Abyot Adane, Zenebech Gella, Kalkidan Mekete, Mamo Dereje, Tsion Tsegaye, Tsega H. Desta, Kidist Woldesenbet, Antoinette Bhattacharya, Tesfahun Bishaw
Jazyk: angličtina
Rok vydání: 2021
Předmět:
WHO data quality review toolkit
media_common.quotation_subject
Maternal Health
HMIS
Coaching
Health informatics
Management Information Systems
03 medical and health sciences
RHIS
Health Information Systems
0302 clinical medicine
Consistency (negotiation)
Environmental health
Humans
Quality (business)
030212 general & internal medicine
Data Quality
Routine Health Information System
Child
media_common
Government
business.industry
030503 health policy & services
Health Policy
Methods Forum
Public Health
Environmental and Occupational Health
Infant
Newborn
Public Health
Global Health
Social Medicine and Epidemiology
Data Accuracy
Folkhälsovetenskap
global hälsa
socialmedicin och epidemiologi
Management information systems
Projections of population growth
Geography
Data quality
Female
Ethiopia
Public aspects of medicine
RA1-1270
0305 other medical science
business
Research Article
Zdroj: Global Health Action
article-version (VoR) Version of Record
Global Health Action, Vol 14, Iss 1 (2021)
ISSN: 1654-9880
1654-9716
Popis: Background: Ethiopia is investing in the routine Health Management Information System. Improved routine data are needed for decision-making in the health sector. Objective: To analyse the quality of the routine Health Management Information System data and triangulate with other sources, such as the Demographic and Health Surveys. Methods: We analysed national Health Management Information System data on 19 indicators of maternal health, neonatal survival, immunization, child nutrition, malaria, and tuberculosis over the 2012–2018 time period. The analyses were conducted by 38 analysts from the Ministry of Health, Ethiopia, and two government agencies who participated in the Operational Research and Coaching for Analysts (ORCA) project between June 2018 and June 2020. Using a World Health Organization Data Quality Review toolkit, we assessed indicator definitions, completeness, internal consistency over time and between related indicators, and external consistency compared with other data sources. Results: Several services reported coverage of above 100%. For many indicators, denominators were based on poor-quality population data estimates. Data on individual vaccinations had relatively good internal consistency. In contrast, there was low external consistency for data on fully vaccinated children, with the routine Health Management Information System showing 89% coverage but the Demographic and Health Survey estimate at 39%. Maternal health indicators displayed increasing coverage over time. Indicators on child nutrition, malaria, and tuberculosis were less consistent. Data on neonatal mortality were incomplete and operationalised as mortality on day 0–6. Our comparisons with survey and population projections indicated that one in eight early neonatal deaths were reported in the routine Health Management Information System. Data quality varied between regions. Conclusions: The quality of routine data gathered in the health system needs further attention. We suggest regular triangulation with data from other sources. We recommend addressing the denominator issues, reducing the complexity of indicators, and aligning indicators to international definitions.
Databáze: OpenAIRE
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