Clinical samples with delayed processing time are associated with lower HIV viral load results in a high-volume regional laboratory, Njombe Region, Tanzania (Oct 2024–Mar 2025)

Abstract Background Accurate HIV viral load (VL) testing is essential for monitoring antiretroviral therapy (ART) and detecting treatment failure. In resource-limited settings such as Njombe Region, Tanzania, laboratories often face prolonged turnaround times (TAT) and suboptimal sample transport and storage. While RNA degradation during extended storage is well documented, its impact on routine, high-volume VL testing remains unclear. This study quantified the association between laboratory processing delays and reported HIV VL results. Methods We conducted a cross-sectional secondary analysis of VL data from Njombe Town Council Hospital Laboratory (October 2024–March 2025, N = 18,271). After excluding 244 records with missing dates, 18,025 samples were analyzed. Three TAT intervals—collection-to-reception (clinic to lab), reception-to-registration (lab receipt to system entry), and registration-to-testing (system entry to assay performance)—were categorized into quartiles. Multivariable multinomial logistic regression with predictive margins estimated associations between TAT delays and VL categories. Results Median total TAT was 22 days (IQR 13–36), exceeding the recommended ≤ 14 days. Only the slowest registration-to-testing quartile (Q4: ≥21 days) showed consistently fewer detectable VL results. Adjusted probability of Target Not Detected (TND) increased from 71.2% (fastest quartile) to 85.8% (slowest quartile) (RR = 1.205; 95% CI: 1.196–1.214; p < 0.001), while probabilities for all detectable VL categories declined significantly. Conclusion Prolonged registration-to-testing delays were strongly associated with lower reported HIV VL results, consistent with RNA degradation or pre-analytical bias. Such delays may compromise patient care and program monitoring. Therefore, interventions targeting workflow and laboratory system optimization are warranted—a conclusion likely generalizable to similar centralized HIV viral load laboratories across low- and middle-income countries.

Authors

Institutions

Publication Details

Journal
Bulletin of the National Research Centre/Bulletin of the National Research Center
Published
2026-09-04
DOI
https://doi.org/10.1186/s42269-026-01478-9
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical samples with delayed processing time are associated with lower HIV viral load results in a high-volume regional laboratory, Njombe Region, Tanzania (Oct 2024–Mar 2025)

Richard Buretta, Ally Kassim Hussein, Robert Ndege, Frank Msafiri et al.
Bulletin of the National Research Centre/Bulletin of the National Research Center
HIV/AIDS Research and Interventions
article

Clinical samples with delayed processing time are associated with lower HIV viral load results in a high-volume regional laboratory, Njombe Region, Tanzania (Oct 2024–Mar 2025)

Richard Buretta, Ally Kassim Hussein, Robert Ndege, Frank Msafiri, Peter Richard Torokaa, MI Matee, Ambwene Mwakalobo, Robert Baluhya, Anthony Charles Kavindi, Joel Nikupala, Alex S. Magesa, Esther Mwavika, Ritha Yodosi Masawe, Ahmad Yusuf, Perfecter Nchumbuka, Ziada Chwaya
article en

Abstract

Abstract Background Accurate HIV viral load (VL) testing is essential for monitoring antiretroviral therapy (ART) and detecting treatment failure. In resource-limited settings such as Njombe Region, Tanzania, laboratories often face prolonged turnaround times (TAT) and suboptimal sample transport and storage. While RNA degradation during extended storage is well documented, its impact on routine, high-volume VL testing remains unclear. This study quantified the association between laboratory processing delays and reported HIV VL results. Methods We conducted a cross-sectional secondary analysis of VL data from Njombe Town Council Hospital Laboratory (October 2024–March 2025, N = 18,271). After excluding 244 records with missing dates, 18,025 samples were analyzed. Three TAT intervals—collection-to-reception (clinic to lab), reception-to-registration (lab receipt to system entry), and registration-to-testing (system entry to assay performance)—were categorized into quartiles. Multivariable multinomial logistic regression with predictive margins estimated associations between TAT delays and VL categories. Results Median total TAT was 22 days (IQR 13–36), exceeding the recommended ≤ 14 days. Only the slowest registration-to-testing quartile (Q4: ≥21 days) showed consistently fewer detectable VL results. Adjusted probability of Target Not Detected (TND) increased from 71.2% (fastest quartile) to 85.8% (slowest quartile) (RR = 1.205; 95% CI: 1.196–1.214; p < 0.001), while probabilities for all detectable VL categories declined significantly. Conclusion Prolonged registration-to-testing delays were strongly associated with lower reported HIV VL results, consistent with RNA degradation or pre-analytical bias. Such delays may compromise patient care and program monitoring. Therefore, interventions targeting workflow and laboratory system optimization are warranted—a conclusion likely generalizable to similar centralized HIV viral load laboratories across low- and middle-income countries.

Bulletin of the National Research Centre/Bulletin of the National Research CenterVol. 50(1)
Ifakara Health Institute (TZ), Muhimbili University of Health and Allied Sciences (TZ), Ministry of Health, Community Development, Gender, Elderly and Children (TZ), Management and Development for Health (TZ), Kilimanjaro Christian Medical Centre (TZ), Muhimbili National Hospital (TZ), Watching Over Mothers & Babies (US)
Centers for Disease Control and Prevention
No poverty
Openalex Percentile: Top 92%
HIV/AIDS Research and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.