| Literature DB >> 35674886 |
Yu Wang1, Jillian Neary2,3, Xinyi Zhai1, Anita Otieno4, Gabrielle O'Malley1,5, Hellen Moraa6, Christine Kundu6, Vincent Omondi4, Emily R Begnel1, Laura Oyiengo7, Dalton Wamalwa6, Grace C John-Stewart1,8,9,10, Jennifer A Slyker1,8, Anjuli D Wagner1, Irene N Njuguna1,11.
Abstract
Video-based pre-test information is used in high resource settings to increase HIV testing coverage but remains untested in resource-limited settings. We conducted formative and evaluative focus group discussions with healthcare workers (HCWs) and caregivers of children in Kenya to develop and refine a pediatric HIV pre-test informational video. We then assessed HIV knowledge among caregivers sequentially enrolled in one of three pre-test information groups: (1) individual HCW-led (N = 50), (2) individual video-based (N = 50), and (3) group video-based (N = 50) sessions. A brief video incorporating information on national pediatric testing, modes of HIV transmission, and dramatized testimonials of caregivers who tested children was produced in three languages. Compared to individual HCW-led sessions (mean: 7.2/9; standard deviation [SD]: 1.3), both the group video-based (mean: 7.7; SD: 0.9) and individual video-based (mean: 7.6; SD: 0.9) sessions had higher mean knowledge scores. Video-based pre-test information could enhance existing pediatric HIV testing services.Entities:
Keywords: Children; HIV; Pediatric HIV testing; Pre-test counseling; Video counseling
Mesh:
Year: 2022 PMID: 35674886 PMCID: PMC9176162 DOI: 10.1007/s10461-022-03706-5
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
HIV knowledge questions and answers by caregivers in each group
| Answered correctly n (%) | |||||
|---|---|---|---|---|---|
| Standard individual counselor-led N = 50 | Individual video N = 50 | Group video N = 50 | Overall N = 150 | ||
| 1 | HIV is the virus that causes AIDS. (True) | 48 (96%) | 49 (98%) | 50 (100%) | 147 (98%) |
| 2 | A baby can get HIV from their mother during pregnancy, delivery, and breastfeeding. (True) | 48 (96%) | 50 (100%) | 50 (100%) | 148 (99%) |
| 3 | Babies and children who have HIV will likely die, even if they are taking their HIV medicines. (False) | 36 (72%) | 34 (68%) | 40 (80%) | 110 (73%) |
| 4 | It is possible to tell whether a child has HIV just by looking at them; a child who looks healthy cannot have HIV. (False) | 35 (70%) | 32 (64%) | 40 (80%) | 107 (71%) |
| 5 | Children of any age can have HIV, even older children who have never been sick. (True) | 36 (72%) | 43 (86%) | 46 (92%) | 125 (83%) |
| 6 | For children who are more than 18 months of age, it is possible to do a test and find out the child’s HIV status today. (True) | 48 (96%) | 50 (100%) | 49 (98%) | 147 (98%) |
| 7 | If the first test is negative, the child is negative. (True) | 23 (46%) | 32 (64%) | 25 (50%) | 80 (53%) |
| 8 | If the first test is positive, another test is done to confirm the HIV status. (True) | 46 (92%) | 47 (94%) | 49 (98%) | 142 (95%) |
| 9 | For children who are less than 18 months of age it is possible to get take a test and find out the child’s HIV status today. (False) | 38 (76%) | 44 (88%) | 37 (74%) | 119 (79%) |
| Answered all questions correct | 6 (12%) | 9 (18%) | 10 (20%) | 25 (17%) | |
Sociodemographic characteristics of participants
| N | N or median | % or IQR | |
|---|---|---|---|
| Female | 23 | 11 | 48% |
| Age | 23 | 32 | 27, 38 |
| Education (years) | 23 | 16 | 15, 17 |
| College | 19 | 83% | |
| University | 4 | 17% | |
| Location of work | 23 | ||
| Outpatient | 10 | 43% | |
| Inpatient | 2 | 9% | |
| HIV care clinic | 2 | 9% | |
| Maternal and child health clinic | 6 | 26% | |
| Other* | 3 | 13% | |
| Cadre | 23 | ||
| HIV testing services counselor | 6 | 26% | |
| Lab/pharmacy technologist | 6 | 26% | |
| Nurse | 7 | 30% | |
| Clinical officer | 1 | 4% | |
| Counselor or social worker | 2 | 9% | |
| Voluntary medical male circumcision worker | 1 | 4% | |
| Years at current clinic | 23 | 3 | 2, 4 |
| Years in HIV counseling | 22 | 4 | 2, 8 |
| Female | 37 | 32 | 86% |
| Age (years) | 40 | 29 | 24, 38 |
| Number of children | 38 | 2 | 1, 3 |
| Age of youngest child in years | 38 | 4 | 2.5, 6 |
| Education (years) | 36** | 8 | 8, 13.5 |
| Primary | 16 | 42% | |
| Secondary | 7 | 18% | |
| College | 11 | 29% | |
| University | 4 | 11% | |
| Employed | 38 | 16 | 42% |
| Marital status | 40 | ||
| Single (never married) | 8 | 20% | |
| Divorced/separated | 2 | 5% | |
| Widowed | 4 | 10% | |
| Married (monogamous) | 20 | 50% | |
| Married (polygamous) | 4 | 10% | |
| Steady boyfriend/girlfriend | 2 | 5% | |
*Laboratory (N = 2) and voluntary medical male circumcision clinic (N = 1)
**2/38 missing number of years of education but provided a response for education category
Fig. 1Number of accurate answers to HIV knowledge question by modality of pre-test information provision