Effects of real-time electronic data entry on HIV programme data quality in Lusaka, Zambia

Author:

Moomba K.1,Williams A.2,Savory T.1,Lumpa M.1,Chilembo P.1,Tweya H.3,Harries A. D.4,Herce M.5

Affiliation:

1. Centre for Infectious Diseases Research in Zambia (CIDRZ), Lusaka, Zambia

2. Operational Centre Brussels, Medical Department, Médecins Sans Frontières - Operational Research Unit (LuxOR), MSF Luxembourg

3. The Lighthouse Clinic, Lilongwe, Malawi

4. International Union Against Tuberculosis and Lung Disease, Paris, France, London School of Hygiene & Tropical Medicine, London, UK

5. Centre for Infectious Diseases Research in Zambia (CIDRZ), Lusaka, Zambia, Institute for Global Health & Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Abstract

Setting: Human immunodeficiency virus (HIV) clinics in five hospitals and five health centres in Lusaka, Zambia, which transitioned from daily entry of paper-based data records to an electronic medical record (EMR) system by dedicated data staff (Electronic-Last) to direct real-time data entry into the EMR by frontline health workers (Electronic-First).Objective: To compare completeness and accuracy of key HIV-related variables before and after transition of data entry from Electronic-Last to Electronic-First.Design: Comparative cross-sectional study using existing secondary data.Results: Registration data (e.g., date of birth) was 100% complete and pharmacy data (e.g., antiretroviral therapy regimen) was <90% complete under both approaches. Completeness of anthropometric and vital sign data was <75% across all facilities under Electronic-Last, and this worsened after Electronic-First. Completeness of TB screening and World Health Organization clinical staging data was also <75%, but improved with Electronic-First. Data entry errors for registration and clinical consultations decreased under Electronic-First, but errors increased for all anthropometric and vital sign variables. Patterns were similar in hospitals and health centres.Conclusion: With the notable exception of clinical consultation data, data completeness and accuracy did not improve after transitioning from Electronic-Last to Electronic-First. For anthropometric and vital sign variables, completeness and accuracy decreased. Quality improvement interventions are needed to improve Electronic-First implementation.

Publisher

International Union Against Tuberculosis and Lung Disease

Subject

Public Health, Environmental and Occupational Health,Health Policy

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