Assessing the completeness and accuracy of South African National Laboratory CD4 and viral load data: a cross-sectional study
Year: 2018
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To assess the accuracy of the South African National Health Laboratory Services (NHLS) corporate data warehouse (CDW) using a novel data cross-matching method. METHODS: Adults (≥18 years) on antiretroviral therapy (ART) who visited a hospital-based HIV clinic in Durban from March to June 2012 were included. We matched patient identifiers, CD4 and viral load (VL) records from the HIV clinic's electronic record with the NHLS CDW according to a set of matching criteria for patient identifiers, test values and test dates. We calculated the matching rates for patient identifiers, CD4 and VL records, and an overall matching rate. RESULTS: NHLS returned records for 3498 (89.6%) of the 3906 individuals requested. Using our computer algorithm, we confidently matched 3278 patients (83.9% of the total request). Considering less than confident matches as well, and then manually reviewing questionable matches using only patient identifiers, only nine (0.3% of records returned by NHLS) of the suggested matches were judged incorrect. CONCLUSIONS: We developed a data cross-matching method to evaluate national laboratory data and were able to match almost 9 of 10 patients with data we expected to find in the NHLS CDW. We found few questionable matches, suggesting that manual review of records returned was not essential. As the number of patients initiating ART in South Africa grows, maintaining a comprehensive and accurate national data repository is of critical importance, since it may serve as a valuable tool to evaluate the effectiveness of the country's HIV care system. This study helps validate the use of NHLS CDW data in future research on South Africa's HIV care system and may inform analyses in similar settings with national laboratory systems.
Source: BMJ Open
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,839
Funders: Harvard University, Harvard University Center for AIDS Research, Strong, National Institutes of Health, Center for AIDS Research, University of Washington, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Dental and Craniofacial Research, National Institute on Minority Health and Health Disparities
Awards: G1575283533, G1722716446, G345173699, G4166928756, What happens after diagnosis: Characterizing long-term HIV care trajectories and mortality in South Africa, Linkage & Retention: A Randomized Trial to Optimize HIV/TB Care in South Africa, G6808131988, G7785852513, G9000129761, Harvard University Center for AIDS Research
OpenAlex ID: W2888163343
