| Literature DB >> 26385853 |
Olurotimi A Adejumo1, Kathleen M Malee2, Patrick Ryscavage3, Scott J Hunter4, Babafemi O Taiwo5.
Abstract
INTRODUCTION: Adolescents are a unique and sometimes neglected group in the planning of healthcare services. This is the case in many parts of sub-Saharan Africa, where more than eight out of ten of the world's HIV-infected adolescents live. Although the last decade has seen a reduction in AIDS-related mortality worldwide, largely due to improved access to effective antiretroviral therapy (ART), AIDS remains a significant contributor to adolescent mortality in sub-Saharan Africa. Although inadequate access to ART in parts of the subcontinent may be implicated, research among youth with HIV elsewhere in the world suggests that suboptimal adherence to ART may play a significant role. In this article, we summarize the epidemiology of HIV among sub-Saharan African adolescents and review their adherence to ART, emphasizing the unique challenges and factors associated with adherence behaviour.Entities:
Keywords: HIV; adherence; adolescents; antiretroviral; epidemiology; review; sub-Saharan Africa
Mesh:
Substances:
Year: 2015 PMID: 26385853 PMCID: PMC4575412 DOI: 10.7448/IAS.18.1.20049
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Number of people aged 0 to 14 years living with HIV and prevalence by sex among 20 to 24 year olds in 2013, by Joint United Nations Programme on HIV/AIDS
| Estimates of young people living with HIV, 2013 | ||||
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| Region | Children and adolescents 0 to 14 years (% of total no.) with HIV | Estimated number living with HIV (all ages) | Percent of 20 to 24 year-olds with HIV (females) | Percent of 20 to 24 year-olds with HIV (males) |
| Sub-Saharan Africa | 2,900,000 (11.7) | 24,700,000 | 2.2 | 1.1 |
| Asia and the Pacific | 210,000 (4.4) | 4,800,000 | <0.1 | <0.1 |
| Caribbean | 17,000 (6.8) | 250,000 | 0.5 | 0.4 |
| Eastern Europe and Central Asia | 14,000 (1.3) | 1,100,000 | 0.2 | 0.2 |
| Latin America | 35,000 (2.2) | 1,600,000 | 0.1 | 0.3 |
| Middle East and North Africa | 16,000 (7.0) | 230,000 | <0.1 | <0.1 |
| Western and Central Europe and North America | 2800 (0.1) | 2,300,000 | <0.1 | 0.2 |
| GLOBAL | 3,200,000 (9.1) | 35,000,000 | 0.4 | 0.3 |
Joint United Nations Programme on HIV/AIDS (UNAIDS), Epidemic Monitoring and Analysis, Gap Report and 2013 estimates.
Figure 1Map of Africa showing estimated number of adolescents aged 10 to 19 years living with HIV in Africa by country in 2013.
Some measures of antiretroviral adherence used in sub-Saharan African studies, with merits and drawbacks
| Adherence measure | Strengths | Drawbacks | Comments |
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| Plasma drug assays | Accurate and relatively objective | Limited laboratory resources in several low-resource settings | Used in relatively few studies in SSA |
| Demonstrated to correlate with immunologic response in Tanzanian children and adolescents [ | May only give information about a given time-point, and not long-term adherence | Pharmacokinetic factors may cause inter- and intra-patient variations in drug assays [ | |
| Reliability subject to host pharmacokinetic factors | |||
| Relatively high cost | |||
| Directly observed therapy | Actual ingestion of ART can be monitored | No demonstrated efficacy over self-administered ART in a study of South African adults [ | Mainstay of tuberculosis treatment recommended for use in adolescents on ART [ |
| Successfully adopted to improve ART adherence in Kenya [ | May be time consuming in busy clinic settings | ||
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| Self-report | Easy to obtain during routine clinic visits | Adherence prone to inadvertent or deliberate overestimation by patients [ | Most widely used adherence measure in SSA [ |
| Relatively inexpensive | Social desirability and recall bias may contribute to inaccuracy | ||
| Easily supported by aids like visual analogue scales | |||
| Demonstrated to correlate with virologic outcomes in Uganda | |||
| Electronic monitoring methods and devices | Some forms (MEMS) demonstrated to correlate with virologic suppression in Uganda and South Africa [ | Expensive [ | Electronic-operated pill-containing devices record and/or transmit data each time an ART dose is taken out. Most common devices use microchips incorporated into pill bottle caps |
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| Pill count | Practical, easy to obtain at clinic visits | Easily manipulated; dependent on patient's cooperation [ | Patients return unused pills at each pharmacy visit, and count of unused pills indicates doses missed after last drug refill |
| Demonstrated to be a valid adherence measure among adolescents in Botswana [ | Time-consuming and inconvenient in busy clinic settings [ | ||
| Unannounced home-based counts possible, and may improve reliability [ | Patients may forget to turn in unused pills | ||
| Pharmacy visits/medication refills | Easy to obtain | May not accurately reflect ART use, for example, in patients who dump pills or accumulate them without using | Medications are dispensed to cover the exact period between visits, and delayed return dates are taken to be indicative of missed doses |
| Inexpensive | Patients’ use of multiple pharmacy sources may make measure unreliable | Use of pharmacy refill data useful for computing MPR, a valid adherence measure in low-resource regions [ | |
| Useful in low-resource settings [ | |||
“Direct” measures, methods which provide objective evidence of patients having ingested medication [87,88]. “Indirect” measures, methods which infer frequency of medication use based on an observable indicator [87,88]. SSA=sub-Saharan Africa; ART=antiretroviral therapy; MEMS=Medication Event Monitoring System; MPR=Medication Possession Ratio.
Summary of reported rates of antiretroviral adherence among children and adolescents in sub-Saharan African countries and other regions
| Study | Location | Adherence measure | Findings |
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| Elise | Cote d'Ivoire | Clinic attendance, self or caregiver report | 67% of children aged 13 to 17 years had missed no doses in the previous month |
| Iroha | Nigeria | Caregiver report | 86.3% of a sample of children and adolescents had been 100% adherent in the previous 3 days |
| Mukhtar-Yola | Nigeria | Caregiver report | 80% of children aged 1 to 15 years had ≥95% adherence; 62.5% reported 100% adherence |
| Polisset | Togo | Caregiver report | Among sample aged 1 to 14 years, 14% ≥10 years 42% had no missed doses over previous 4 days or previous month |
| Ugwu and Eneh [ | Nigeria | Self-report | 76.1% of children and adolescents aged 5 months to 17 years had >95% adherence; 59.2% reported 100% adherence |
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| Biadgilign | Ethiopia | Caregiver report | Patients aged 3 to 14 years with adherence ≥95%: |
| Biressaw | Ethiopia | Caregiver report (CR); | Children aged 8 to 13 years: |
| Unannounced pill count (uPC) | 93.3% had ≥95% adherence in past 7 days | ||
| Byakika-Tusiime | Uganda | Three-day caregiver-report (SR) 30-day visual analogue scale (VA) | Mean adherence for children initiating ART (I) and children on long-term treatment (L) |
| Unannounced pill count (uPC) | VA: I, 97.8%; L, 100% | ||
| PC: I, 100%; L, 87.7% | |||
| Langat | Kenya | Pill/drug count (PC) | Patients 3 to 14 years; average adherence 44.2% |
| Caregiver report (CR) | CR: appointments kept 45.7% | ||
| Drug refill data (DR) | Appropriate timing of doses 56.1% | ||
| Mghamba | Tanzania | Caregiver report (CR) | Children 2 to 14 years |
| Pill count (PC) | PC: 97% returned <5% previous dispensed pills | ||
| Nevirapine plasma assay | 85% had nevirapine concentration >3 µg/ml | ||
| Nabukeera-Barungi | Uganda | Three-day self-report (SR) | Children and adolescents 2 to 18 years |
| Pill count (PC) | PC: 94.1% had ≥95% adherence | ||
| Unannounced pill count (uPC) | uPC: 72% had ≥95% adherence | ||
| Ndiaye | Botswana | Pill count | Adolescents 13 to 18 years |
| Wamalwa | Kenya | Caregiver report (over past 3 days or 2 weeks) | Among children 8 months to 12 years: 64% had 100% adherence |
| Vreeman | Kenya | Self/caregiver report | 71% of children aged 1 to 14 years missed at least one dose over a 33/4 years observation period. Odds of non-adherence higher with death of both parents |
| Wiens | Uganda | Self-report (SR) Pill count (PC) | Adolescents 12 to 17 years: |
| eCAP™ | PC: 97% adherence overall; 67% had >95% | ||
| eCAPTM: 88% overall; 23% >95% adherence | |||
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| Nachega | South Africa | Pharmacy refill at 6, 12, and 24 months | Adolescents 10 to 19 years vs. adults 20 and above 6 months: 20.7% (vs. 40.5% in adults) 12 months: 14.3% (vs. 27.9% in adults) 24 months: 6.6% (vs. 20.6% in adults) [ |
| Reddi | South Africa | Child and caregiver report | Children 4 months to 15 years |
| 89% of patients reported >95% adherence | |||
| 59.6% had 100% adherence | |||
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| 22 studies | Viral load, self-report, MEMS | 62.3% overall adherence (95% CI 57.1 to 67.6) | |
| Asia | |||
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| Viral load, self-report | 83.9% overall adherence (95% CI 76.8 to 91.0) | |
| Europe | |||
| 12 | Viral load, pill count | 62.0% overall adherence (95% CI 50.7 to 73.3) | |
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| 5 | Viral load, self-report | 62.8% overall adherence (95% CI 46.6 to 77.0) | |
From Kim et al. [91]. CI=confidence interval; MEMS=Medication Event Monitoring System; eCAP™=electronic medication vials.
Studies describing effective intervention programmes to improve ART adherence, specifically among adolescents with HIV in sub-Saharan Africa
| Study | Location | Description of intervention | Category of intervention | Target |
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| Musiime | Uganda | Peer support group of adolescents living with HIV. Group held monthly meetings, had talks and discussions on a variety of health and treatment topics. Also, recreational activities leading to formation of a band aimed at reducing stigma and improving self-confidence. Counselling provided for adolescents with identified needs. | Affective | Adolescents |
| Van Winghem | Kenya |
| Cognitive, behavioural, and affective | Adolescents, caregivers, and clinic staff |
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| Ssewamala | Uganda | “SUUBI+Adherence,” a youth-focused economic approach to HIV treatment. Designed to improve ART adherence among youth in and out of school with HIV, through economic empowerment initiatives. | Economic | Adolescents |
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| Bhana | South Africa | VUKA family-based programme: | Cognitive, affective, and behavioural prevention programme | Adolescents and caregivers |
| Fatti | South Africa | Lay community-based adherence support (patient advocates) conducted home visits to address household challenges affecting adherence over a 4-year period. | Affective | Caregivers |
| Mavhu | Zimbabwe | Three-component adolescent and family-centred programme: | Cognitive-behavioural, affective | Adolescents, caregivers |