Review Article

Sex Differences in HIV Testing among Older Adults in Sub-Saharan Africa: A Systematic Review

Table 1

Study information.

AuthorsKiplagat and Huschke, 2018 [28]Muiruri et al., 2019 [29]Schatz and Knight, 2018 [30]Ama et al., 2015 [31]Wandera et al., 2020 [32]

TitleHIV testing and counselling experiences: a qualitative study of older adults living with HIV in western KenyaIndividual and partner characteristics associated with HIV testing and counseling uptake among individuals 50 years or older in Tanzania“I was referred from the other side”: gender and HIV testing among older South Africans living with HIVKnowledge and utilization of voluntary counselling and testing services for HIV by older adults (50 years and over) in BotswanaPrevalence and determinants of recent HIV testing among older persons in rural Uganda: a cross-sectional study
Database search or reference listDatabaseDatabaseDatabaseReference listReference list
CountryKenyaTanzaniaSouth AfricaBotswanaUganda
Urban/rural?BothRuralUrbanBothRural
Number of participants57600Not stated609649
Number of female participants2728910371334
Number of male participants30311Exact number not stated. However, it is mentioned that the number is similar to the number of women238315
MethodologyQualitativeQuantitativeQualitativeQuantitativeMixed methods (but chose only to report the quantitative findings)
Study designCross-sectionalCross-sectionalCross-sectionalCross-sectionalCross-sectional
Participant characteristicsHIV-infected men and women aged ≥50 years at the time of HIV care enrollment and receiving care, currently in care at two participating outpatient HIV clinics (one urban and one rural), had been followed up for at least 1 yearOlder years of ageWomen and men aged 50 and over who are living with HIV from two urban townships outside of Cape TownOlder people (≥50 years) living in four purposively sampled districts in BotswanaOlder men and women age 50 years and older, from central (Masaka district) and western (Hoima district) Uganda
RecruitmentParticipants who were currently in care were selected from one urban and one rural facilityAnalysis of data from a prior cross-sectional survey followed by multistage sampling where individuals aged 50 years and older were randomly selected from village registers and then visited at their home and invited to participateParticipants were recruited through nonprobability sampling methods, making connections through a survey list from a local NCD research project, as well as convenience sampling and referrals by health workers at HIV clinicsRespondent-driven sampling (RDS)Multistage stratified cluster sampling design
Data collection methodsIn-depth interviews, focus group discussionsSurveys, HIV testing to determine statusIn-depth interviews, key informant interviewsQuestionnaire administered through in-person interviewsFocus group discussions, in-depth interviews, survey results
Data analysis methodsThematic content analysisLogistic regressionGrounded theory to specify emerging themesBinary logistic regressionFrequency distributions, chi-squared tests, and multivariable logistic regression
Sex differences in testingMale participants unanimously expressed the need to have a male provider who can discuss male-related sexual issues which were considered “private,” including erection difficulties and sexually transmitted diseases. In addition to wanting a provider of the same gender, female participants also expressed wanting a provider of a similar age to themBeing male was associated with lower odds of HTC uptake (, 95% CI 0.3-0.7). Female gender was associated with increased HTC uptakeNearly all of the women were tested for HIV while undergoing ongoing care for another chronic condition, and most women were tested after a provider suggested they do so. In comparison, men were most often tested as a result of their wives being tested first which prompted them to get tested. In addition, men also were tested for HIV along with TB when they came to a clinic for coughing or other TB-related symptomsOf those who had participated in the VCT programme (55 males and 60 females), more males (78.2%) than females (70%) found the programme very helpful; females are less likely to take an HIV test than males (); females are as likely to use the VCT services as the males ()Sex was not significantly associated with HIV testing in the 12 months prior to the study