4.6 Article

Assessing the completeness and accuracy of South African National Laboratory CD4 and viral load data: a cross-sectional study

Journal

BMJ OPEN
Volume 8, Issue 8, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2018-021506

Keywords

South Africa; national health laboratory services (NHLS); national laboratory systems; HIV record matching; data crossmatching method; CD4 and viral load

Funding

  1. National Institutes of Health [R01 MH108427, R01 MH090326-03S1]
  2. Harvard University Center for AIDS Research - NIH CoFunding and Participating Institute and Center: NIAID [P30 AI060354]
  3. NIH CoFunding and Participating Institute and Center: NCI
  4. NIH CoFunding and Participating Institute and Center: NICHD
  5. NIH CoFunding and Participating Institute and Center: NIDCR
  6. NIH CoFunding and Participating Institute and Center: NHLBI
  7. NIH CoFunding and Participating Institute and Center: NIDA
  8. NIH CoFunding and Participating Institute and Center: NIMH
  9. NIH CoFunding and Participating Institute and Center: NIA
  10. NIH CoFunding and Participating Institute and Center: NIDDK
  11. NIH CoFunding and Participating Institute and Center: NIGMS
  12. NIH CoFunding and Participating Institute and Center: NIMHD
  13. NIH CoFunding and Participating Institute and Center: FIC
  14. NIH CoFunding and Participating Institute and Center: OAR

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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 (18years) 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.

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