N van Schaik1, K Kranzer, R Wood, L-G Bekker. 1. The Desmond Tutu HIV Centre, Institute for Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town. Nienke.vanschaik@hiv-research.org.za
Abstract
OBJECTIVES: To assess the age and gender differences of clients accessing mobile HIV counselling and testing (HCT) compared with clients accessing facility-based testing, and to determine the difference in HIV prevalence and baseline CD4 counts. METHODS: This was a prospective observational cross-sectional study of 3 different HIV testing services in Cape Town. We compared data on age, sex, HIV status and CD4 counts collected between August and December 2008 from a mobile testing service (known as the Tutu Tester), a primary health care clinic, and a district hospital. RESULTS: A total of 3 820 individuals were tested: 2 499 at the mobile, 657 at the clinic, and 664 at the hospital. Age and sex distribution differed across services, with the mobile testing more men and older individuals. HIV prevalence was lowest at the mobile (5.9%) compared with the clinic (18.0%) and hospital (23.3%). Of the HIV-infected individuals from the mobile service, 75% had a CD4 count higher than 350 cells/µl compared with 48% and 32% respectively at the clinic and hospital. Age- and sex-adjusted risk for HIV positivity was 3.5 and 4.9 times higher in the clinic-based and hospital-based services compared with the mobile service. CONCLUSION: Mobile services are accessed by a different population compared with facility-based services. Mobile service clients were more likely to be male and less likely to be HIV-positive, and those infected presented with earlier disease.
OBJECTIVES: To assess the age and gender differences of clients accessing mobile HIV counselling and testing (HCT) compared with clients accessing facility-based testing, and to determine the difference in HIV prevalence and baseline CD4 counts. METHODS: This was a prospective observational cross-sectional study of 3 different HIV testing services in Cape Town. We compared data on age, sex, HIV status and CD4 counts collected between August and December 2008 from a mobile testing service (known as the Tutu Tester), a primary health care clinic, and a district hospital. RESULTS: A total of 3 820 individuals were tested: 2 499 at the mobile, 657 at the clinic, and 664 at the hospital. Age and sex distribution differed across services, with the mobile testing more men and older individuals. HIV prevalence was lowest at the mobile (5.9%) compared with the clinic (18.0%) and hospital (23.3%). Of the HIV-infected individuals from the mobile service, 75% had a CD4 count higher than 350 cells/µl compared with 48% and 32% respectively at the clinic and hospital. Age- and sex-adjusted risk for HIV positivity was 3.5 and 4.9 times higher in the clinic-based and hospital-based services compared with the mobile service. CONCLUSION: Mobile services are accessed by a different population compared with facility-based services. Mobile service clients were more likely to be male and less likely to be HIV-positive, and those infected presented with earlier disease.
Authors: Ingrid V Bassett; Susan Regan; Hlengiwe Mbonambi; Jeffrey Blossom; Stacy Bogan; Benjamin Bearnot; Marion Robine; Rochelle P Walensky; Bright Mhlongo; Kenneth A Freedberg; Hilary Thulare; Elena Losina Journal: AIDS Behav Date: 2015-10
Authors: K Kranzer; D Govindasamy; N van Schaik; E Thebus; N Davies; Ma Zimmermann; S Jeneker; Sd Lawn; R Wood; L-G Bekker Journal: HIV Med Date: 2011-11-21 Impact factor: 3.180
Authors: Heidi van Rooyen; Nuala McGrath; Admire Chirowodza; Philip Joseph; Agnès Fiamma; Glenda Gray; Linda Richter; Thomas Coates Journal: AIDS Behav Date: 2013-11
Authors: I V Bassett; S Regan; P Luthuli; H Mbonambi; B Bearnot; A Pendleton; M Robine; D Mukuvisi; H Thulare; R P Walensky; K A Freedberg; E Losina; B Mhlongo Journal: HIV Med Date: 2013-11-19 Impact factor: 3.180
Authors: Denise Jaworsky; Laverne Monette; Janet Raboud; Doe O'Brien-Teengs; Christina Diong; Sandra Blitz; Sean B Rourke; Mona R Loutfy Journal: Can J Infect Dis Med Microbiol Date: 2012 Impact factor: 2.471