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The questionnaire was translated into Nepali and verified by a second translator. The questionnaire was used to collect sociodemographic information, personal history of ART adherence, and socioeconomic status. Patients�� medical records were used to collect information on CD4 cell counts and ART regimen. Assessment of adherence Adherence was assessed by asking patients to recall their intake of prescribed ART doses in the previous 7 days. In an attempt to minimize recall bias, patients were asked about adherence over the previous day, previous 3 days, and previous 7 days. Self-reported ART adherence was calculated as the ratio of the doses taken during the specific time-period to the total number of ART doses prescribed for the same time-period. The results were expressed as percentages. Patients were considered adherent if they reported taking 95�C100% of their prescribed ART with a delay of find more no more than 1 hour in the previous 7 days. Statistical analysis The information collected from patients was sorted, coded, and entered in a datasheet created in SPSS version 16 (SPSS Inc., Chicago, IL, USA). A double-data entry system was used to minimize errors in data entry. The explanatory variables were categorized as follows: age (continuous variable), sex (male/female), marital status (unmarried/ever-married), educational level (literate/illiterate), RhoC occupation (employed/unemployed), monthly income (tertiles), travel time to ART centers (continuous variable), alcohol use in the month preceding the interview (yes/no), illegal drug use in the 6 months preceding the interview (yes/no), and use of reminder tools to take ART (yes/no). The clinical characteristics included the latest available CD4 cell count (>200/��200 cells/mm3), ART initiation (selleck inhibitor and categorical explanatory variables, respectively. The strength of association between explanatory variables and ART adherence was measured using logistic regression and was reported as odds ratios (OR) with 95% confidence intervals (CI). The OR associated with each explanatory variable was calculated first in a univariate model, then in an age- and sex-adjusted model, and finally in a multivariate model including all the variables. The variables with significant or borderline significant associations in the multivariate model were included in the final model. The criterion for statistical significance was set at P