Use of computer-assisted self-interview in detection of and referral for depression among adolescents living with HIV at an urban HIV treatment clinic in Uganda: a quasi-experimental study

Abstract

BackgroundDepression is common among adolescents living with HIV (ALHIV) and impacts their quality of life. However, it is not routinely detected and treated due to a lack of screening tools, coupled with large numbers of clients in the HIV clinics and limited staff. Enabling adolescents to do a self-assessment for depression on a tablet computer could possibly improve the detection of depression in this population. We set out to assess the detection and referral of depression among ALHIV in care in Uganda.MethodsThis was a quasi-experimental study design with a historical control at Baylor College of Medicine of Children’s Foundation. We conducted a retrospective chart review of 425 adolescents covering a 3-month period and documented the proportion screened for depression and referred to the clinic counsellors. From July to September 2022, eligible adolescents aged 10–19 years who had assented and consented self-assessed for depression using a Patient Health Questionnaire-Adolescent on a tablet computer-assisted self-interview (CASI). Adolescents who screened positive had a prompt on the tablet computers referring them to the counsellor for mental healthcare. We compared the proportions of participants screened for depression and referred to counsellors from clinic chart review and on the CASI using paired t-tests.ResultsOut of 425 medical records reviewed, 54% (231/425) were females and the median age was 15 years. Of the participants who self-assessed on the CASI, 52% (222/425) were males and the median age of all participants was 16 years. Self-assessment on the CASI increased the rate of detection of depression from 0% to 23.3%. Of those referred on the CASI, 15% accessed care at the referral point.ConclusionThe use of CASI improves the rate of detection of depression among ALHIV; however, there is a need to address the barriers to effective referral for mental health services.