RESUMO
Background and Objectives: In 2010, Webber and colleagues conceptualized the interrelationships between mobility determinants, and researchers tested Webber's framework using data from developed countries. No studies have tested this model using data from developing nations (e.g., Nigeria). This study aimed to simultaneously explore the cognitive, environmental, financial, personal, physical, psychological, and social influences and their interaction effects on the mobility outcomes among community-dwelling older adults in Nigeria. Research Design and Methods: This cross-sectional study recruited 227 older adults (mean age [standard deviation] = 66.6 [6.8] years). Performance-based mobility outcomes included gait speed, balance, and lower extremity strength, and were assessed using the Short Physical Performance Battery, whereas the self-reported mobility outcomes included inability to walk 0.5 km, 2 km, or climb a flight of stairs, assessed using the Manty Preclinical Mobility Limitation Scale. Regression analysis was used to determine the predictors of mobility outcomes. Results: The number of comorbidities (physical factor) negatively predicted all mobility outcomes, except the lower extremity strength. Age (personal factor) negatively predicted gait speed (ß = -0.192), balance (ß = -0.515), and lower extremity strength (ß = -0.225), and a history of no exercise (physical factor) positively predicted inability to walk 0.5 km (B = 1.401), 2 km (B = 1.295). Interactions between determinants improved the model, explaining the most variations in all the mobility outcomes. Living arrangement is the only factor that consistently interacted with other variables to improve the regression model for all mobility outcomes, except balance and self-reported inability to walk 2 km. Discussion and Implications: Interactions between determinants explain the most variations in all mobility outcomes, highlighting the complexity of mobility. This finding highlighted that factors predicting self-reported and performance-based mobility outcomes might differ, but this should be confirmed with a large data set.
RESUMO
Adherence levels in Africa have been found to be better than those in the US. However around one out of four ART users fail to achieve optimal adherence, risking drug resistance and negative treatment outcomes. A high demand for 2nd line treatments (currently ten times more expensive than 1st line ART) undermines the sustainability of African ART programs. There is an urgent need to identify context-specific constraints to adherence and implement interventions to address them. We used rapid appraisals (involving mainly qualitative methods) to find out why and when people do not adhere to ART in Uganda, Tanzania and Botswana. Multidisciplinary teams of researchers and local health professionals conducted the studies, involving a total of 54 semi-structured interviews with health workers, 73 semi-structured interviews with ARTusers and other key informants, 34 focus group discussions, and 218 exit interviews with ART users. All the facilities studied in Botswana, Tanzania and Uganda provide ARVs free of charge, but ART users report other related costs (e.g. transport expenditures, registration and user fees at the private health facilities, and lost wages due to long waiting times) as main obstacles to optimal adherence. Side effects and hunger in the initial treatment phase are an added concern. We further found that ART users find it hard to take their drugs when they are among people to whom they have not disclosed their HIV status, such as co-workers and friends. The research teams recommend that (i) health care workers inform patients better about adverse effects; (ii) ART programmes provide transport and food support to patients who are too poor to pay; (iii) recurrent costs to users be reduced by providing three-months, rather than the one-month refills once optimal adherence levels have been achieved; and (iv) pharmacists play an important role in this follow-up care.
