ArticleFrontiers in digital health2024
Barriers to healthcare data quality and recommendations in public health facilities in Dire Dawa city administration, eastern Ethiopia: a qualitative study.
Article in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Common data quality elements for health information systems: a systematic review.BMC medical informatics and decision making · 2024Pooled it
- Augmented Capacity Development Interventions (ACDI) Improved Data Quality Performance in the Routine Health Information System (RHIS): A Cluster Randomized Trial.Inquiry : a journal of medical care organization, provision and financingTrial
- Developing a framework for improved data use in health management at the district level in Malawi health management information system.Health policy OPEN · 2026Article
- Levels of in-facility maternal mortality, obstetric complications and stillbirths in three urban referral hospitals in Guinea: analysis of routine data from May 2021 to April 2023.BMJ global health · 2026Article
- Modeling and forecasting neonatal mortality in Ethiopia: a comparative study using statistical, machine learning, and deep learning approaches.Archives of public health = Archives belges de sante publique · 2026Article
- Variability in Perceived Healthcare Data Quality Across Tanzanian Regional Referral Hospitals: A Hospital-Based Cross-Sectional Study.Health science reports · 2026Article
- Temporal trends in African healthcare system capacities in prevention, detection, response, and sustainability between 2010 and 2023.PLOS global public health · 2026Article
- Accuracy of recording of malaria rapid diagnostic test results in Uganda.Malaria journal · 2025Article
- Immunization data management practices and data quality in Ethiopia.Archives of public health = Archives belges de sante publique · 2025Article
- Behavioral factors affecting data quality and information utilization in health facilities in ethiopia, 2023: an exploratory qualitative study.Archives of public health = Archives belges de sante publique · 2025Article
- Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review.Journal of medical Internet research · 2025Article
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- District health information system 2 data utilization among health professionals in Amara region private hospitals, Ethiopia.Digital healthArticle
- Leveraging healthcare professionals' insights to enhance data quality in medical big data platforms: A qualitative study.Digital healthArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Maintaining good quality of healthcare data at various levels is a critical challenge in developing countries. The barriers to healthcare data quality remain largely unexplored in eastern Ethiopia. Objective: This study aimed to assess the barriers to quality of healthcare data in urban public health facilities in the Dire Dawa city administration from 7 April to 7 May 2019. Methods: An institutional-based qualitative exploratory approach was used among 17 purposefully selected key informants. In-depth interviews were inductively coded using the ATLAS.ti 7.5.4 version software. Inductive analysis was used by semantically analyzing the explicit content of the data to determine our themes. Results: Several key themes and subthemes with different barriers, some of which are mutually non-exclusive, were identified. These include: Conclusion: Diverse and complex barriers to maintenance of data quality were identified. Developing standardized health management information system implementation plans, providing advanced supervisory-level training, supportive supervision, and site-level mentorship may be very effective in identifying and resolving bottleneck data quality issues. Healthcare managers should understand the imperative of data quality and accept responsibility for its improvement and maintenance. Interventions targeted only at supplies will not fully overcome limitations to data quality. Motivation of staff and recognition of best performance can motivate others and can create cooperation among staff.
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