Systematic review of health data quality management and best practices at community and district levels in LMIC

• Published in: Information development Vol. 30; no. 2; pp. 103 - 120
• Main Authors: Ndabarora, Eléazar, Chipps, Jennifer A, Uys, Leana
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01-05-2014
• Subjects: Data; Health care; International comparisons; Meta-analysis; Quality; data quality management; community; district health information systems; systematic review; health information use
• ISSN: 0266-6669; 1741-6469
• DOI: 10.1177/0266666913477430

Research findings have reported lack of reliable health data and poor management for district health information systems in low and middle-income countries (LMIC). This paper aims to review the literature on problems with health data quality management and health information evidences and evidences of best practices and use at community and district levels in LMIC, with a view to making recommendations for future research. Research citations, conference proceedings and diseases surveillance reports from 2000–2011 were accessed in PubMed, Medline, LISTA (EBSCO), CINAHL, Cochrane, and Google. Relevant studies were selected, the methodologies critiqued and synthesized. The researchers accessed 1383, and 38 were reviewed by three reviewers. Poor quality health data, low level of health information use, and poor management of health information systems were found. These findings hinder evidence-based decisions based and planning at community and district levels in LMIC. Though poor practices were found, improved health care services delivery with improved health data efficiency was found to be possible.