Identifying Adolescents at Highest Risk of ART Non-adherence, Using the World Health Organization-Endorsed HEADSS and HEADSS+ Checklists
© 2023. The Author(s)..
Brief tools are necessary to identify adolescents at greatest risk for ART non-adherence. From the WHO's HEADSS/HEADSS+ adolescent wellbeing checklists, we identify constructs strongly associated with non-adherence (validated with viral load). We conducted interviews and collected clinical records from a 3-year cohort of 1046 adolescents living with HIV from 52 South African government facilities. We used least absolute shrinkage and selection operator variable selection approach with a generalized linear mixed model. HEADSS constructs most predictive were: violence exposure (aOR 1.97, CI 1.61; 2.42, p < 0.001), depression (aOR 1.71, CI 1.42; 2.07, p < 0.001) and being sexually active (aOR 1.80, CI 1.41; 2.28, p < 0.001). Risk of non-adherence rose from 20.4% with none, to 55.6% with all three. HEADSS+ constructs were: medication side effects (aOR 2.27, CI 1.82; 2.81, p < 0.001), low social support (aOR 1.97, CI 1.60; 2.43, p < 0.001) and non-disclosure to parents (aOR 2.53, CI 1.91; 3.53, p < 0.001). Risk of non-adherence rose from 21.6% with none, to 71.8% with all three. Screening within established checklists can improve identification of adolescents needing increased support. Adolescent HIV services need to include side-effect management, violence prevention, mental health and sexual and reproductive health.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:28 |
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Enthalten in: |
AIDS and behavior - 28(2024), 1 vom: 01. Jan., Seite 141-153 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Cluver, Lucie D [VerfasserIn] |
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Links: |
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Themen: |
AIDS |
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Anmerkungen: |
Date Completed 23.01.2024 Date Revised 14.02.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1007/s10461-023-04137-6 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM360889840 |
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520 | |a Brief tools are necessary to identify adolescents at greatest risk for ART non-adherence. From the WHO's HEADSS/HEADSS+ adolescent wellbeing checklists, we identify constructs strongly associated with non-adherence (validated with viral load). We conducted interviews and collected clinical records from a 3-year cohort of 1046 adolescents living with HIV from 52 South African government facilities. We used least absolute shrinkage and selection operator variable selection approach with a generalized linear mixed model. HEADSS constructs most predictive were: violence exposure (aOR 1.97, CI 1.61; 2.42, p < 0.001), depression (aOR 1.71, CI 1.42; 2.07, p < 0.001) and being sexually active (aOR 1.80, CI 1.41; 2.28, p < 0.001). Risk of non-adherence rose from 20.4% with none, to 55.6% with all three. HEADSS+ constructs were: medication side effects (aOR 2.27, CI 1.82; 2.81, p < 0.001), low social support (aOR 1.97, CI 1.60; 2.43, p < 0.001) and non-disclosure to parents (aOR 2.53, CI 1.91; 3.53, p < 0.001). Risk of non-adherence rose from 21.6% with none, to 71.8% with all three. Screening within established checklists can improve identification of adolescents needing increased support. Adolescent HIV services need to include side-effect management, violence prevention, mental health and sexual and reproductive health | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a AIDS | |
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650 | 4 | |a Treatment | |
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700 | 1 | |a Seslija, Marko |e verfasserin |4 aut | |
700 | 1 | |a Zhou, Siyanai |e verfasserin |4 aut | |
700 | 1 | |a Toska, Elona |e verfasserin |4 aut | |
700 | 1 | |a Armstrong, Alice |e verfasserin |4 aut | |
700 | 1 | |a Gulaid, Laurie A |e verfasserin |4 aut | |
700 | 1 | |a Ameyan, Wole |e verfasserin |4 aut | |
700 | 1 | |a Cassolato, Matteo |e verfasserin |4 aut | |
700 | 1 | |a Kuo, Caroline C |e verfasserin |4 aut | |
700 | 1 | |a Laurenzi, Christina |e verfasserin |4 aut | |
700 | 1 | |a Sherr, Lorraine |e verfasserin |4 aut | |
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