Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021
Abstract Key populations (KPs) are particularly vulnerable to HIV infection and efforts to prevent HIV infections among KPs have been less successful, largely due to existing laws and legislation that classify the groups as illegal. Understanding the HIV infection pathway and the burden of HIV infec...
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| Format: | Article |
| Language: | English |
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BMC
2023-09-01
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| Series: | AIDS Research and Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12981-023-00566-4 |
| _version_ | 1797556307287343104 |
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| author | Duah Dwomoh Issata Wurie Yvonne Harding Kojo Mensah Sedzro Joseph Kandeh Henry Tagoe Christabel Addo Daniel Kojo Arhinful Abdul Rahman Cherinoh Sessay James Lahai Kamara Kemoh Mansaray William Kwabena Ampofo |
| author_facet | Duah Dwomoh Issata Wurie Yvonne Harding Kojo Mensah Sedzro Joseph Kandeh Henry Tagoe Christabel Addo Daniel Kojo Arhinful Abdul Rahman Cherinoh Sessay James Lahai Kamara Kemoh Mansaray William Kwabena Ampofo |
| author_sort | Duah Dwomoh |
| collection | DOAJ |
| description | Abstract Key populations (KPs) are particularly vulnerable to HIV infection and efforts to prevent HIV infections among KPs have been less successful, largely due to existing laws and legislation that classify the groups as illegal. Understanding the HIV infection pathway and the burden of HIV infection among Female Sex Workers (FSWs), Transgender people (TG), Men who have sex with Men (MSM), People who Inject Drugs (PWID), and Prison Inmates (PIs) is critical to combatting the HIV epidemic globally. This study aims to estimate HIV prevalence and model the risk factors of HIV positivity rate among the aforementioned KPs in Sierra Leone. This study used Time Location Sampling, Respondent Driven Sampling (RDS), and Conventional cluster Sampling designs to generate a representative sample of FSWs, MSM, TG, PI, and PWID. HIV prevalence and the corresponding 95% confidence intervals among each KP were estimated by adjusting for sampling weight using the logit-transformed confidence intervals. To determine correlates of HIV test positivity among KPs, a multivariable modified Poisson regression model that adjusts for RDS survey weights was used and sensitivity analysis was conducted using a multivariable logistic regression model with cluster robust standard errors. The prevalence of HIV among FSWs in the six regional headquarter towns was estimated to be 11.8% (95% CI: 7.9–17.1); MSM was 3.4% [95% CI: 1.9–5.8]; TGs was 4.2% (95% CI: 2.9–6.1); PWIDs was 4.2% (95% CI: 2.7–6.4) and PI was 3.7% (95% CI: 1.4–9.6). The correlates of HIV test positivity among KPs and PIs include HIV-related knowledge, marital status, district, income, age and sex of KP, level of education, alcohol intake, injecting drugs, and use of lubricants. HIV prevalence is relatively high among FSWs, MSMs, PWID, and TGs as compared to the previous estimate of the general population. There is a need to scale up and strengthen evidence-based HIV prevention interventions such Pre-Exposure Prophylaxis and needle and syringe exchange programmes targeting KPs, including prison inmates. Government must scale up both non-clinical and clinical routine HIV and STI testing and counseling services at the correctional center and drop-in centers for KPs screening/testing, and ensure that services are responsive to the needs of KP. |
| first_indexed | 2024-03-10T17:00:56Z |
| format | Article |
| id | doaj.art-8b689f9a71e24b2785806629e9b24864 |
| institution | Directory Open Access Journal |
| issn | 1742-6405 |
| language | English |
| last_indexed | 2024-03-10T17:00:56Z |
| publishDate | 2023-09-01 |
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| series | AIDS Research and Therapy |
| spelling | doaj.art-8b689f9a71e24b2785806629e9b248642023-11-20T10:59:02ZengBMCAIDS Research and Therapy1742-64052023-09-0120111210.1186/s12981-023-00566-4Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021Duah Dwomoh0Issata Wurie1Yvonne Harding2Kojo Mensah Sedzro3Joseph Kandeh4Henry Tagoe5Christabel Addo6Daniel Kojo Arhinful7Abdul Rahman Cherinoh Sessay8James Lahai Kamara9Kemoh Mansaray10William Kwabena Ampofo11Department of Biostatistics, School of Public Health, College of Health Sciences, University of GhanaHealth and Education Quality Systems StrengtheningHealth and Education Quality Systems StrengtheningDepartment of Epidemiology, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of GhanaHealth and Education Quality Systems StrengtheningJohn Snow Resarch & Training Institute IncDepartment of Epidemiology, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of GhanaDepartment of Epidemiology, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of GhanaDepartment of Biostatistics, School of Public Health, College of Health Sciences, University of GhanaNational HIV/AIDS SecretariatNational HIV/AIDS SecretariatDepartment of Virology, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of GhanaAbstract Key populations (KPs) are particularly vulnerable to HIV infection and efforts to prevent HIV infections among KPs have been less successful, largely due to existing laws and legislation that classify the groups as illegal. Understanding the HIV infection pathway and the burden of HIV infection among Female Sex Workers (FSWs), Transgender people (TG), Men who have sex with Men (MSM), People who Inject Drugs (PWID), and Prison Inmates (PIs) is critical to combatting the HIV epidemic globally. This study aims to estimate HIV prevalence and model the risk factors of HIV positivity rate among the aforementioned KPs in Sierra Leone. This study used Time Location Sampling, Respondent Driven Sampling (RDS), and Conventional cluster Sampling designs to generate a representative sample of FSWs, MSM, TG, PI, and PWID. HIV prevalence and the corresponding 95% confidence intervals among each KP were estimated by adjusting for sampling weight using the logit-transformed confidence intervals. To determine correlates of HIV test positivity among KPs, a multivariable modified Poisson regression model that adjusts for RDS survey weights was used and sensitivity analysis was conducted using a multivariable logistic regression model with cluster robust standard errors. The prevalence of HIV among FSWs in the six regional headquarter towns was estimated to be 11.8% (95% CI: 7.9–17.1); MSM was 3.4% [95% CI: 1.9–5.8]; TGs was 4.2% (95% CI: 2.9–6.1); PWIDs was 4.2% (95% CI: 2.7–6.4) and PI was 3.7% (95% CI: 1.4–9.6). The correlates of HIV test positivity among KPs and PIs include HIV-related knowledge, marital status, district, income, age and sex of KP, level of education, alcohol intake, injecting drugs, and use of lubricants. HIV prevalence is relatively high among FSWs, MSMs, PWID, and TGs as compared to the previous estimate of the general population. There is a need to scale up and strengthen evidence-based HIV prevention interventions such Pre-Exposure Prophylaxis and needle and syringe exchange programmes targeting KPs, including prison inmates. Government must scale up both non-clinical and clinical routine HIV and STI testing and counseling services at the correctional center and drop-in centers for KPs screening/testing, and ensure that services are responsive to the needs of KP.https://doi.org/10.1186/s12981-023-00566-4HIV/AIDSTransgender peopleMen who have sex with menPeople who inject drugsFemale sex workersPrison inmates |
| spellingShingle | Duah Dwomoh Issata Wurie Yvonne Harding Kojo Mensah Sedzro Joseph Kandeh Henry Tagoe Christabel Addo Daniel Kojo Arhinful Abdul Rahman Cherinoh Sessay James Lahai Kamara Kemoh Mansaray William Kwabena Ampofo Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021 AIDS Research and Therapy HIV/AIDS Transgender people Men who have sex with men People who inject drugs Female sex workers Prison inmates |
| title | Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021 |
| title_full | Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021 |
| title_fullStr | Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021 |
| title_full_unstemmed | Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021 |
| title_short | Estimating prevalence and modelling correlates of HIV test positivity among female sex workers, men who have sex with men, people who inject drugs, transgender people and prison inmates in Sierra Leone, 2021 |
| title_sort | estimating prevalence and modelling correlates of hiv test positivity among female sex workers men who have sex with men people who inject drugs transgender people and prison inmates in sierra leone 2021 |
| topic | HIV/AIDS Transgender people Men who have sex with men People who inject drugs Female sex workers Prison inmates |
| url | https://doi.org/10.1186/s12981-023-00566-4 |
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