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Assessing the completeness and accuracy of South African National Laboratory CD4 and viral load data: a
Ingrid Valerie Bassett1,2,3,4,5, Mingshu Huang3,4,6, Christie Cloete7
1Division of Infectious Disease, Massachusetts General Hospital, Boston, Massachusetts, USA.
Insights
A new method accurately matched 90% of patient records in South Africa's National Health Laboratory Services (NHLS) data warehouse. This validates NHLS data for evaluating the national HIV care system.
Area of Science:
- Public Health
- Health Informatics
- Epidemiology
Background:
- Accurate health data is crucial for evaluating HIV care systems.
- The National Health Laboratory Services (NHLS) corporate data warehouse (CDW) in South Africa holds vital patient information.
- Validating the accuracy of the NHLS CDW is essential for reliable research and policy-making.
Purpose of the Study:
- To assess the accuracy of the South African NHLS CDW.
- To develop and apply a novel data cross-matching method for evaluating laboratory data accuracy.
Main Methods:
- A data cross-matching method was developed to compare HIV clinic electronic records with the NHLS CDW.
- Patient identifiers, CD4, and viral load (VL) records were matched based on specific criteria.
- Matching rates for identifiers, CD4, and VL records were calculated.
Main Results:
- The NHLS CDW returned records for 89.6% of individuals requested.
- A novel algorithm confidently matched 83.9% of patients.
- Only 0.3% of returned records were judged incorrect after manual review.
Conclusions:
- A novel data cross-matching method effectively validated the accuracy of the NHLS CDW.
- The NHLS CDW is a reliable resource for research on South Africa's HIV care system.
- This methodology can inform analyses in similar national laboratory systems globally.
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.
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