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Abstract Background An East African survey showed that among the few health facilities that measured adherence to antiretroviral therapy, practices and definitions varied widely. We evaluated the feasibility of collecting routine data to standardize adherence measurement using a draft set of indicators. Methods Targeting 20 facilities each in Ethiopia, Kenya, Rwanda, and Uganda, in each facility we interviewed up to 30 patients, examined 100 patient records, and interviewed staff. Results In 78 facilities, we interviewed a total of 1,631 patients and reviewed 8,282 records. Difficulties in retrieving records prevented data collection in two facilities. Overall, 94.2% of patients reported perfect adherence; dispensed medicine covered 91.1% of days in a six month retrospective period; 13.7% of patients had a gap of more than 30 days in their dispensed medication; 75.8% of patients attended clinic on or before the date of their next appointment; and 87.1% of patients attended within 3 days. In each of the four countries, the facility-specific median indicators ranged from: 97%-100% for perfect self-reported adherence, 90%-95% of days covered by dispensed medicines, 2%-19% of patients with treatment gaps of 30 days or more, and 72%-91% of appointments attended on time. Individual facilities varied considerably. The percentages of days covered by dispensed medicine, patients with more than 95% of days covered, and patients with a gap of 30 days or more were all significantly correlated with the percentages of patients who attended their appointments on time, within 3 days, or within 30 days of their appointment. Self reported recent adherence in exit interviews was significantly correlated only with the percentage of patients who attended within 3 days of their appointment. Conclusions Field tests showed that data to measure adherence can be collected systematically from health facilities in resource-poor settings. The clinical validity of these indicators is assessed in a companion article. Most patients and facilities showed high levels of adherence; however, poor levels of performance in some facilities provide a target for quality improvement efforts.

Background: An East African survey showed that among the few health facilities that measured adherence to antiretroviral therapy, practices and definitions varied widely. We evaluated the feasibility of collecting routine data to standardize adherence measurement using a draft set of indicators. Methods: Targeting 20 facilities each in Ethiopia, Kenya, Rwanda, and Uganda, in each facility we interviewed up to 30 patients, examined 100 patient records, and interviewed staff. Results: In 78 facilities, we interviewed a total of 1,631 patients and reviewed 8,282 records. Difficulties in retrieving records prevented data collection in two facilities. Overall, 94.2% of patients reported perfect adherence; dispensed medicine covered 91.1% of days in a six month retrospective period; 13.7% of patients had a gap of more than 30 days in their dispensed medication; 75.8% of patients attended clinic on or before the date of their next appointment; and 87.1% of patients attended within 3 days. In each of the four countries, the facility-specific median indicators ranged from: 97%-100% for perfect self-reported adherence, 90%-95% of days covered by dispensed medicines, 2%-19% of patients with treatment gaps of 30 days or more, and 72%-91% of appointments attended on time. Individual facilities varied considerably. The percentages of days covered by dispensed medicine, patients with more than 95% of days covered, and patients with a gap of 30 days or more were all significantly correlated with the percentages of patients who attended their appointments on time, within 3 days, or within 30 days of their appointment. Self reported recent adherence in exit interviews was significantly correlated only with the percentage of patients who attended within 3 days of their appointment. Conclusions: Field tests showed that data to measure adherence can be collected systematically from health facilities in resource-poor settings. The clinical validity of these indicators is assessed in a companion article. Most patients and facilities showed high levels of adherence; however, poor levels of performance in some facilities provide a target for quality improvement efforts. [ABSTRACT FROM AUTHOR]

Background: An East African survey showed that among the few health facilities that measured adherence to antiretroviral therapy, practices and definitions varied widely. We evaluated the feasibility of collecting routine data to standardize adherence measurement using a draft set of indicators. Methods: Targeting 20 facilities each in Ethiopia, Kenya, Rwanda, and Uganda, in each facility we interviewed up to 30 patients, examined 100 patient records, and interviewed staff. Results: In 78 facilities, we interviewed a total of 1,631 patients and reviewed 8,282 records. Difficulties in retrieving records prevented data collection in two facilities. Overall, 94.2% of patients reported perfect adherence; dispensed medicine covered 91.1% of days in a six month retrospective period; 13.7% of patients had a gap of more than 30 days in their dispensed medication; 75.8% of patients attended clinic on or before the date of their next appointment; and 87.1% of patients attended within 3 days. In each of the four countries, the facility-specific median indicators ranged from: 97%-100% for perfect self-reported adherence, 90%-95% of days covered by dispensed medicines, 2%-19% of patients with treatment gaps of 30 days or more, and 72%-91% of appointments attended on time. Individual facilities varied considerably. The percentages of days covered by dispensed medicine, patients with more than 95% of days covered, and patients with a gap of 30 days or more were all significantly correlated with the percentages of patients who attended their appointments on time, within 3 days, or within 30 days of their appointment. Self reported recent adherence in exit interviews was significantly correlated only with the percentage of patients who attended within 3 days of their appointment. Conclusions: Field tests showed that data to measure adherence can be collected systematically from health facilities in resource-poor settings. The clinical validity of these indicators is assessed in a companion article. Most patients and facilities showed high levels of adherence; however, poor levels of performance in some facilities provide a target for quality improvement efforts.

Background: Access to antiretroviral therapy has dramatically expanded in Africa in recent years, but there are no validated approaches to measure treatment adherence in these settings. Methods: In 16 health facilities, we observed a retrospective cohort of patients initiating antiretroviral therapy. We constructed eight indicators of adherence and visit attendance during the first 18 months of treatment from data in clinic and pharmacy records and attendance logs. We measured the correlation among these measures and assessed how well each predicted changes in weight and CD4 count. Results: We followed 488 patients; 63.5% had 100% coverage of medicines during follow-up; 2.7% experienced a 30-day gap in treatment; 72.6% self-reported perfect adherence in all clinic visits; and 19.9% missed multiple clinic visits. After six months of treatment, mean weight gain was 3.9 kg and mean increase in CD4 count was 138.1 cells/mm3. Dispensing-based adherence, self-reported adherence, and consistent visit attendance were highly correlated. The first two types of adherence measure predicted gains in weight and CD4 count; consistent visit attendance was associated only with weight gain. Conclusions: This study demonstrates that routine data in African health facilities can be used to monitor antiretroviral adherence at the patient and system level.

Lessons learned from treating patients with HIV infection can inform care systems for other chronic conditions. For antiretroviral treatment, attending appointments on time correlates with medication adherence; however, HIV clinics in East Africa, where attendance rates vary widely, rarely include systems to schedule appointments or to track missed appointments or patient follow-up. An introduction of low-cost, paper-based patient appointment and tracking systems led to an improvement in timely clinic attendance rates and tracking missing patients. An effective appointment system is critical to managing patients with chronic conditions and can be introduced in resource-limited settings, possibly without having to add staff. [ABSTRACT FROM PUBLISHER]

Background: Increased availability and accessibility of antiretroviral therapy (ART) has improved the length and quality of life amongst people living with HIV/AIDS. This has changed the landscape for care from episodic to long-term care that requires more monitoring of adherence. This has led to increased demand on human resources, a major problem for most ART programs. This paper presents experiences and perspectives of providers in ART facilities, exploring the organizational factors affecting their capacity to monitor adherence to ARVs., Methods: From an earlier survey to test adherence indicators and rank facilities as good, medium or poor adherence performances, six facilities were randomly selected, two from each rank. Observations on facility set-up, provider-patient interactions and key informant interviews were carried out. The strengths, weaknesses, opportunities and threats identified by health workers as facilitators or barriers to their capacity to monitor adherence to ARVs were explored during group discussions., Results: Findings show that the performance levels of the facilities were characterized by four different organizational ART programs operating in Uganda, with apparent lack of integration and coordination at the facilities. Of the six facilities studied, the two high adherence performing facilities were Non-Governmental Organization (NGO) programs, while facilities with dual organizational programs (Governmental/NGO) performed poorly. Working conditions, record keeping and the duality of programs underscored the providers' capacity to monitor adherence. Overall 70% of the observed provider-patient interactions were conducted in environments that ensured privacy of the patient. The mean performance for record keeping was 79% and 50% in the high and low performing facilities respectively. Providers often found it difficult to monitor adherence due to the conflicting demands from the different organizational ART programs., Conclusion: Organizational duality at facilities is a major factor in poor adherence monitoring. The different ART programs in Uganda need to be coordinated and integrated into a single well resourced program to improve ART services and adherence monitoring. The focus on long-term care of patients on ART requires that the limitations to providers' capacity for monitoring adherence become central during the planning and implementation of ART programs.