Background: Retesters among PLHIV have been on the rise as countries work towards achieving HIV epidemic control. This has potential consequences in HIV programs including delayed ART initiation and duplication of HIV testing data. Context specific assessments are needed to inform mitigation actions. We aimed to assess the reasons and factors associated with HIV retesting among PLHIV. Methodology: This was a cross-sectional mixed methods survey among 800 conveniently sampled PLHIV in four high volume HIV clinics in the Northwest Region from 1st to 31st August 2023. We estimated the prevalence of retesting and elicited reasons for retesting. Chi-Square test was used to assess the relationship between retesting and the independent variables and logistic regression analysis in SPSS version 24.0 was used to identify predictors of re-testing. Results: Prevalence of retesting among participants was 26.6% with a higher prevalence observed among PLHIV in the urban setting (32%) compared to those in the rural setting (16%) and 53% of retesters had interrupted treatment in the past. Reasons for retesting included confirmation of cure after prayers 89 (39%), uncertainty about diagnosis 53 (24.9%), health worker request 31 (14.6%), perception of good health 28 (13.1%), confirmation of cure after suppressed viral load 9 (4.2%), premarital VCT 5 (2.3%), and confirmation of cure from alternative treatment 4 (1.9%). In bivariate analysis using chi-square age (p = 0.04), occupation (p = 0.005), level of education (p = 0.019), religion/denomination (p = 0.002) and facility setting (p < 0.001) were significantly associated with retesting. In multivariate analysis younger patients (21 - 40 years) were about 2 times more likely to retest, AOR = 1.9 (95%CI: 1.3, 2.7), while patients using a facility in an urban setting were about 3 times more likely to retest, AOR = 2.7 (95%CI: 1.8, 4.1). Conclusion: Retesting is more likely among younger PLHIV and those living in urban settings. Routine assessments to determine retesters will improve the quality of HIV testing data.
References
[1]
Giguère, K., Eaton, J.W., Marsh, K., Johnson, L.F., Johnson, C.C., Ehui, E., et al. (2021) Trends in Knowledge of HIV Status and Efficiency of HIV Testing Services in Sub-Saharan Africa, 2000-20: A Modelling Study Using Survey and HIV Testing Programme Data. The Lancet HIV, 8, e284-e293. https://doi.org/10.1016/s2352-3018(20)30315-5
[2]
World Health Organization (2012) Service Delivery Approaches to HIV Testing and Conselling (HTC): A Strategic HTC Programme Framework. https://www.apps.who.int/iris/bitstream/handle/10665/75206/?sequence=1
[3]
U.S. President’s Emergency Plan for AIDS Relief (2022) Country and Regional Op-erational Plan (COP/ROP). Guidance for All PEPFAR-Supported Countries. https://www.state.gov/wp-content/uploads/2022/02/cop22-Guidance-Final_508-Compliant-3.pdf
[4]
Jacob, N., Rice, B., Kalk, E., Heekes, A., Morgan, J., Hargreaves, J., et al. (2020) Utility of Digitising Point of Care HIV Test Results to Accurately Measure, and Improve Performance towards, the UNAIDS 90-90-90 Targets. PLOS ONE, 15, e0235471. https://doi.org/10.1371/journal.pone.0235471
[5]
Maheu-Giroux, M., Marsh, K., Doyle, C.M., Godin, A., Lanièce Delaunay, C., Johnson, L.F., et al. (2019) National HIV Testing and Diagnosis Coverage in Sub-Saharan Africa: A New Modeling Tool for Estimating the ‘First 90’ from Program and Survey Data. AIDS, 33, S255-S269. https://doi.org/10.1097/qad.0000000000002386
[6]
Angotti, N., Bula, A., Gaydosh, L., Kimchi, E.Z., Thornton, R.L. and Yeatman, S.E. (2009) Increasing the Acceptability of HIV Counseling and Testing with Three C’s: Convenience, Confidentiality and Credibility. Social Science & Medicine, 68, 2263-2270. https://doi.org/10.1016/j.socscimed.2009.02.041
[7]
Fuente‐Soro, L., Lopez‐Varela, E., Augusto, O., Sacoor, C., Nhacolo, A., Honwana, N., et al. (2018) Monitoring Progress towards the First UNAIDS Target: Understanding the Impact of People Living with HIV Who Re‐Test during HIV‐Testing Campaigns in Rural Mozambique. Journal of the International AIDS Society, 21, e25095. https://doi.org/10.1002/jia2.25095
[8]
Franse, C.B., Kayigamba, F.R., Bakker, M.I., Mugisha, V., Bagiruwigize, E., Mitchell, K.R., et al. (2016) Linkage to HIV Care before and after the Introduction of Provider-Initiated Testing and Counselling in Six Rwandan Health Facilities. AIDS Care, 29, 326-334. https://doi.org/10.1080/09540121.2016.1220475
[9]
Grimsrud, A., Wilkinson, L., Ehrenkranz, P., Behel, S., Chidarikire, T., Chisenga, T., et al. (2023) The Future of HIV Testing in Eastern and Southern Africa: Broader Scope, Targeted Services. PLOS Medicine, 20, e1004182. https://doi.org/10.1371/journal.pmed.1004182
[10]
Horter, S., Thabede, Z., Dlamini, V., Bernays, S., Stringer, B., Mazibuko, S., et al. (2017) “Life Is So Easy on ART, Once You Accept It”: Acceptance, Denial and Linkage to HIV Care in Shiselweni, Swaziland. Social Science & Medicine, 176, 52-59. https://doi.org/10.1016/j.socscimed.2017.01.006
[11]
Kulkarni, S., Tymejczyk, O., Gadisa, T., Lahuerta, M., Remien, R.H., Melaku, Z., et al. (2017) “Testing, Testing”: Multiple HIV-Positive Tests among Patients Initiating Antiretroviral Therapy in Ethiopia. Journal of the International Association of Providers of AIDS Care (JIAPAC), 16, 546-554. https://doi.org/10.1177/2325957417737840
[12]
Meka, A.F.Z., Billong, S.C., Diallo, I., Tiemtore, O.W., Bongwong, B. and Nguefack-Tsague, G. (2020) Challenges and Barriers to HIV Service Uptake and Delivery along the HIV Care Cascade in Cameroon. Pan African Medical Journal, 36, Article 37. https://doi.org/10.11604/pamj.2020.36.37.19046
[13]
Moore, H.A., Metcalf, C.A., Cassidy, T., Hacking, D., Shroufi, A., Steele, S.J., et al. (2019) Investigating the Addition of Oral HIV Self-Tests among Populations with High Testing Coverage—Do They Add Value? Lessons from a Study in Khayelitsha, South Africa. PLOS ONE, 14, e0215454. https://doi.org/10.1371/journal.pone.0215454
[14]
Olislagers, Q., van Leth, F., Shabalala, F., Dlamini, N., Simelane, N., Masilela, N., et al. (2022) Reasons For, and Factors Associated With, Positive HIV Retesting: A Cross-Sectional Study in Eswatini. AIDS Care, 35, 1346-1353. https://doi.org/10.1080/09540121.2022.2142930
[15]
Amin, E.T., Zuh, M., Njumkeng, C., Mugri, R.N., Forbin, A.T., Foncha, R., et al. (2019) HIV Retesting for Verification: Uptake and Implementation in Some Health Facilities in the Littoral Region of Cameroon. International Journal of Health Sciences and Research, 9, 216-222. https://www.Ijsr.org/IJHSR_Vol.9_Issue.6_June2019/IJHSR_Abstract.031.html
[16]
Cameroon Baptist Convention Health Board (2023). Treatment Current Journal. https://dama.cbchs.cm
[17]
Daniel, W.W. (1999) Biostatistics: A Foundation for Analysis in the Health Sciences. 7th Edition, John Wiley & Sons, Inc. https://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=396450
[18]
U.S. President’s Emergency Plan for AIDS Relief (2022) Cameroon Country Operational Plan Cop 22 Strategic Direction Summary 5 May 2022. https://www.state.gov/wp-content/uploads/2022/09/Cameroon-COP22-SDS.pdf
[19]
Ministère de la Santé Publique du Cameroun (2015) Plan d’accélération de la thérapie ARV au Cameroun 2016-2018. Ministère de la Santé Publique, Yaoundé.
[20]
Pell, C., Vernooij, E., Masilela, N., Simelane, N., Shabalala, F. and Reis, R. (2018) False Starts in ‘Test and Start’: A Qualitative Study of Reasons for Delayed Antiretroviral Therapy in Swaziland. International Health, 10, 78-83. https://doi.org/10.1093/inthealth/ihx065
[21]
Fuge, T.G., Tsourtos, G. and Miller, E.R. (2022) Risk Factors for Late Linkage to Care and Delayed Antiretroviral Therapy Initiation among Adults with HIV in Sub-Saharan Africa: A Systematic Review and Meta-Analyses. International Journal of Infectious Diseases, 122, 885-904. https://doi.org/10.1016/j.ijid.2022.07.037