review Open AccessTop 1% cited
Adherence to HAART: A Systematic Review of Developed and Developing Nation Patient-Reported Barriers and Facilitators
PLoS Medicine · 2006 · Vol. 3(11) · pp. e438–e438
Edward J. Mills✉Jean B. Nachega✉(Canadian Society for International Health)David R. Bangsberg✉(University of California, San Francisco)Sonal Singh✉(Johns Hopkins University)Beth Rachlis✉(AIDS Vancouver)Ping Wu✉(Canadian College of Naturopathic Medicine)Kumanan Wilson✉(University of Toronto)Iain Buchan✉(University of Manchester)Christopher Gill✉(Boston University)Curtis Cooper✉(University of Ottawa)
Abstract
We found that important barriers to adherence are consistent across multiple settings and countries. Research is urgently needed to determine patient-important factors for adherence in developing world settings. Clinicians should use this information to engage in open discussion with patients to promote adherence and identify barriers and facilitators within their own populations.
HIV/AIDS Research and InterventionsHIV/AIDS drug development and treatmentLGBTQ Health, Identity, and PolicyCINAHLMedicineQualitative researchDeveloping countryFamily medicineContext (archaeology)MEDLINEPillCochrane LibraryPsychological intervention
MeSH terms
Developing CountriesHumansPatient ComplianceDeveloped CountriesAntiretroviral Therapy, Highly Active
Funding
- Doris Duke Charitable Foundation
- Ontario HIV Treatment Network
- National Institutes of Health
Citations
820
FWCI
14.31
field-weighted impact
References
112
Percentile
99%
vs. same field & year
Citations per year
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References
Better physician-patient relationships are associated with higher reported adherence to antiretroviral therapy in patients with HIV infection
Journal of General Internal Medicine · 2004 · 560 citations
Adherence to protease inhibitors, HIV-1 viral load, and development of drug resistance in an indigent population
AIDS · 2000 · 1,042 citations
Non-adherence to highly active antiretroviral therapy predicts progression to AIDS
AIDS · 2001 · 962 citations
Quantifying heterogeneity in a meta‐analysis
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