PMID- 28225707 OWN - NLM STAT- MEDLINE DCOM- 20180102 LR - 20220330 IS - 1473-5571 (Electronic) IS - 0269-9370 (Linking) VI - 31 IP - 5 DP - 2017 Mar 13 TI - Nonadherence to antiretroviral therapy among HIV-infected patients in Zambia is concentrated among a minority of patients and is highly variable across clinics. PG - 689-696 LID - 10.1097/QAD.0000000000001347 [doi] AB - OBJECTIVES: The distribution of adherence to antiretroviral therapy (ART) can indicates whether barriers are concentrated or more distributed. We quantified the medication possession ratio (MPR) and characterized the distribution of medication nonpossession in a network of clinics in Zambia to identify 'hotspots' and predictors of poorer adherence. METHODS: We analyzed a population of adults on ART for more than 3 months who made at least one clinic visit between 1 January 2013 and 28 February 2015. Pharmacy refill and clinical information were obtained through the electronic medical record system used in routine care. We constructed a Lorenz curve to visualize the distribution of poor adherence and used a multilevel logistic regression model to examine factors associated with MPR. RESULTS: Among 131 767 patients in 56 clinics [64% women, median age 34 years (interquartile range (IQR) 29-41), median CD4 cell count at ART initiation 351 cells/mul (IQR 220-517)], the median MPR was 85.8% (IQR 70.8-96.8). During months 7-12 on ART, 45.6% of patients had 100% MPR and 10.5% accounted for 50% of medication nonpossession. Across clinics, median MPR ranged from 49.1 to 98.5, and clinic accounted for 12% of the variability in adherence after adjusting for individual and clinic-level characteristics. CONCLUSION: A small fraction of patients account for the majority of days of medication nonpossession. Further characterization of these subpopulations is needed to target interventions. Clinic also accounted for much variability in MPR. Health systems interventions targeting clinic 'hot spots' may represent an efficient use of resources to improve ART adherence. FAU - Czaicki, Nancy L AU - Czaicki NL AD - aDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California, USAbCentre for Infectious Disease Research in Zambia, Lusaka, ZambiacJohns Hopkins University School of Medicine, Baltimore, Maryland, USAdMinistry of Health of Zambia, Lusaka, ZambiaeDivision of HIV/AIDS, Department of Medicine, University of California, San Francisco, San Francisco General Hospital, San Francisco, California, USA. FAU - Holmes, Charles B AU - Holmes CB FAU - Sikazwe, Izukanji AU - Sikazwe I FAU - Bolton, Carolyn AU - Bolton C FAU - Savory, Theodora AU - Savory T FAU - Wa Mwanza, Mwanza AU - Wa Mwanza M FAU - Moyo, Crispin AU - Moyo C FAU - Padian, Nancy S AU - Padian NS FAU - Geng, Elvin H AU - Geng EH LA - eng PT - Journal Article PL - England TA - AIDS JT - AIDS (London, England) JID - 8710219 RN - 0 (Anti-Retroviral Agents) SB - IM MH - Adult MH - Anti-Retroviral Agents/*therapeutic use MH - Antiretroviral Therapy, Highly Active/*statistics & numerical data MH - Female MH - HIV Infections/*drug therapy MH - Humans MH - Male MH - *Medication Adherence MH - Zambia EDAT- 2017/02/23 06:00 MHDA- 2018/01/03 06:00 CRDT- 2017/02/23 06:00 PHST- 2017/02/23 06:00 [entrez] PHST- 2017/02/23 06:00 [pubmed] PHST- 2018/01/03 06:00 [medline] AID - 00002030-201703130-00010 [pii] AID - 10.1097/QAD.0000000000001347 [doi] PST - ppublish SO - AIDS. 2017 Mar 13;31(5):689-696. doi: 10.1097/QAD.0000000000001347.