| Literature DB >> 32513192 |
Larissa Jennings Mayo-Wilson1,2, Bianca Devoto3, Jessica Coleman3, Barbara Mukasa4, Angela Shelton3, Sarah MacCarthy5, Uzaib Saya5, Harriet Chemusto4, Sebastian Linnemayr5.
Abstract
BACKGROUND: Despite initial high motivation, individuals receiving antiretroviral therapy (ART) for several years may experience incomplete adherence over time, increasing their risk of HIV-related morbidity and mortality. Habits, defined as automatic and regular practices, do not rely on conscious effort, and may therefore support high long-term ART adherence.Entities:
Keywords: ART; Adherence; Antiretroviral therapy; HIV; Habit formation; Qualitative; Uganda
Mesh:
Substances:
Year: 2020 PMID: 32513192 PMCID: PMC7278190 DOI: 10.1186/s12981-020-00283-2
Source DB: PubMed Journal: AIDS Res Ther ISSN: 1742-6405 Impact factor: 2.846
Demographic and adherence characteristics of study-enrolled ART clients (N = 42)
| Variable | N (%) |
|---|---|
| Demographic characteristics (N = 42) | |
| Mean age (min–max) | 39 (19–63) |
| Gender | |
| Male | 13 (31%) |
| Female | 29 (69%) |
| Highest level of education | |
| Primary | 18 (43%) |
| Secondary | 13 (31%) |
| University/vocational | 5 (12%) |
| No education | 1 (2%) |
| Missinga | 5 (12%) |
| Marital status | |
| Single/never married | 11 (26%) |
| Married | 9 (21%) |
| Divorced/separated/widowed | 17 (41%) |
| Missinga | 5 (12%) |
| Employment | |
| Unemployed | 15 (36%) |
| Employed (self/informal) | 9 (21%) |
| Employed (formal) | 13 (31%) |
| Missinga | 5 (12%) |
| Adherence characteristics | |
| Mean years since HIV diagnosis (min–max) | 11.5 (4-26) |
| Prior HIV disclosure to friends/family | |
| Yes, all | 12 (29%) |
| Yes, some | 22 (52%) |
| No | 3 (7%) |
| Missinga | 5 (12%) |
| Missed ART dose in last month | |
| Yes | 17 (40%) |
| No | 20 (48%) |
| Missinga | 5 (12%) |
| Stopped ART for | |
| Yes | 9 (21%) |
| No | 28 (67%) |
| Missinga | 5 (12%) |
| Currently undetectable viral load | |
| Yes | 26 (62%) |
| No | 11 (26%) |
| Missinga | 5 (12%) |
aDemographic and adherence data collection at baseline was not possible for n = 5 clients
Distribution of commonly reported free-list habits in rank order and with related time and location among study-enrolled ART clients (N = 42)
| Summary of most commonly reported free-list habitsa | Mentioned habitb % | Performed at same timec % | Performed at same locationc % |
|---|---|---|---|
| Eating habits (n = 9) | |||
| Eating dinner | 71.4 | 46.7 | 63.3 |
| Eating breakfast | 61.9 | 23.1 | 50.0 |
| Cooking breakfast | 42.9 | 44.4 | 83.3 |
| Cooking dinner | 33.3 | 28.6 | 57.1 |
| Cooking lunch | 28.6 | 41.7 | 41.7 |
| Eating lunch | 21.4 | 11.1 | 33.3 |
| Going out to get food | 16.7 | 42.9 | 42.9 |
| Having evening tea | 16.7 | 71.4 | 57.1 |
| Cooking meal for child | 14.3 | 83.3 | 66.7 |
| Domestic habits (n = 7) | |||
| Cleaning house interior | 38.1 | 56.3 | 50.0 |
| Washing clothes | 31.0 | 38.5 | 53.9 |
| Washing dishes | 31.0 | 23.1 | 92.3 |
| Gardening | 28.6 | 50.0 | 58.3 |
| Sweeping compound | 23.8 | 50.0 | 60.0 |
| Mopping compound | 23.8 | 40.0 | 70.0 |
| Tending to animals | 14.3 | 50.0 | 66.7 |
| Leisure habits (n = 7) | |||
| Sleeping | 85.7 | 36.1 | 38.9 |
| Traveling to work/school | 61.9 | 50.0 | 61.5 |
| Watching TV | 57.1 | 50.0 | 58.3 |
| Praying in morning | 35.7 | 66.7 | 86.7 |
| Praying in evening | 23.8 | 40.0 | 20.0 |
| Visiting friends/family | 21.4 | 44.4 | 22.2 |
| Listening to radio/music | 16.7 | 57.1 | 42.9 |
| Hygienic habits (n = 6) | |||
| Bathing self in morning | 69.1 | 69.0 | 82.8 |
| Bathing self in evening | 64.3 | 37.0 | 82.8 |
| Brushing teet | 50.0 | 76.2 | 61.9 |
| Washing face | 33.3 | 50.0 | 100.0 |
| Bathing child | 28.6 | 50.0 | 58.3 |
| Dressing self | 16.7 | 71.4 | 57.1 |
| Medication habits (n = 2) | |||
| Taking meds in evening | 61.9 | 92.3 | 57.7 |
| Taking meds in morning | 33.3 | 92.9 | 50.0 |
aList of free-list habits in each category that were reported by > 10% clients. Habits mentioned by < 10% are not presented
bPercentage of mentioned habits does not sum to 100% as responses were not mutually exclusive
cCalculated only for clients who previously mentioned relevant habit
Summary of qualitative themes from interview discussions with study-enrolled ART clients (N = 42)
| Topic | Emergent themes |
|---|---|
| Facilitators of ART medication habit | Linking ART medication-taking to existing routines |
| Enlisting a person as a daily reminder | |
| Using alarms on other objects as a reminder | |
| Challenges of ART medication habit | Unreliable time devices |
| Irregular employment schedules | |
| Uncertainty of time or place to take ART medications | |
| Modifications to habits to improve ART medication adherence | Packing or re-packaging ART medications |
| Changing one’s leisure activities | |
| Carrying drinking water |