HIV Rapid Diagnostic Test Inventories in Zambézia Province, Mozambique: A Tale of 2 Test Kits

Author:

Wahlfeld Christopher C.1,Muicha Amina2,Harrison Paulo3,Kipp Aaron M.4,Claquin Gael5,Silva Wilson P.5,Green Ann F.1,Wester C. William6,Moon Troy D.7

Affiliation:

1. Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA.

2. Friends in Global Health, Department of Pharmacy, Quelimane, Mozambique.

3. Provincial Health Directorate, Quelimane, Mozambique.

4. Vanderbilt Institute for Global Health, Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.

5. Friends in Global Health, Maputo, Mozambique.

6. Vanderbilt Institute for Global Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

7. Vanderbilt Institute for Global Health, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.

Abstract

Background: The first pillar of the UNAIDS 90-90-90 goal seeks to accurately identify persons living with HIV (PLHIV), a process that is predicated on facilities having the necessary HIV tests available to perform the task. In many rural settings, the identification of PLHIV is accomplished through a two-step process involving the sequential use of 2 separate rapid diagnostic tests (RDTs). Inadequate inventory of either test has ramifications for the success of HIV-related programs. The purpose of this study was to evaluate the inventory levels of HIV RDT kits at specific healthcare facilities in Zambézia province, Mozambique. Methods: Using facility-level pharmacy stock surveillance data from October 2015 through September 2016, we assessed the inventory levels of HIV RDTs at 75 health facilities in 8 districts within Zambézia province, Mozambique. Using programmatically established categories (good, sufficient, threatened, or stockout), defined in conjunction with the provincial health authorities, descriptive statistics were performed to determine inventory control of HIV RDTs at the district and health facility levels. Monthly proportions of adequate (good + sufficient) inventory were calculated for each district to identify inventory trends over the evaluation period. To assess whether the proportion of inadequate stocks differed between RDT, a mixed-effects logistic regression was conducted, with inadequate inventory status as the outcome of interest. Results: When viewed as a whole, the inventory of each test kit was reported as being at adequate levels more than 89% of the time across the 75 facilities. However, disaggregated analysis revealed significant variability in the inventory levels of HIV RDTs at the district level. Specifically, the districts of Inhassunge, Namacurra, and Pebane reported inadequate inventory levels (threatened + stockout), of one or both test kits, for more than 10% of the study period. In addition, a disparity between inventory levels of each test kit was identified, with the odds of reporting inadequate inventory levels of the confirmatory test (Uni-Gold™) being approximately 1.8-fold greater than the initial test (Determine™) (odds ratio: 1.82, 95% CI: 1.40-2.38). Conclusion: As Test and Treat programs evolve, a significant emphasis should be placed on the "test" component of the strategy, beginning with assurances that health facilities have the adequate inventory of RDT necessary to meet the needs of their community. As national policy-makers rely predominantly on data from the upstream arm of the supply chain, it is unlikely the disparity between inventory levels of HIV RDTs identified at individual districts and specific health facilities would have been recognized. Moving forward, our findings point to a need for (1) renewed efforts reinforcing appropriate downstream forecasting of essential medicines and diagnostic tests in general and for Uni-Gold™ test kits specifically, and (2) simple metrics that may be routinely collected at all health facilities and which may then easily and quickly flow upstream so that policy-makers may optimally allocate resources.

Publisher

Maad Rayan Publishing Company

Subject

Health Policy,Health Information Management,Leadership and Management,Management, Monitoring, Policy and Law,Health (social science)

Reference30 articles.

1. United Nations. Revised list of global Sustainable Development Goal indicators. https://unstats.un.org/sdgs/indicators/Official%20Revised%20List%20of%20global%20SDG%20indicators.pdf. Accessed February 8, 2019.

2. UNAIDS. 2016-2021 Strategy: On the Fast Track to End AIDS. http://www.unaids.org/sites/default/files/media_asset/20151027_UNAIDS_PCB37_15_18_EN_rev1.pdf. Accessed February 8, 2019.

3. U.S. Department of Health and Human Services. HSRA Care Action. Test and Treat: A New Paradigm for Slowing the Spread of HIV. https://hab.hrsa.gov/sites/default/files/hab/Publications/careactionnewsletter/hab_test_and_treat_january_careaction_pdf.pdf. Published January 2012. Accessed February 8, 2019.

4. World Health Organization (WHO). Progress Report 2016: Prevent HIV, Test and Treat All: WHO Support for Country Impact. http://apps.who.int/iris/bitstream/10665/251713/1/WHO-HIV-2016.24-eng.pdf. Accessed February 8, 2019.

5. UNAIDS 2014: 90-90-90 An ambitious treatment target to help end the AIDS epidemic. http://www.unaids.org/sites/default/files/media_asset/90-90-90_en.pdf. Accessed February 8, 2019.

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