Objectives The benefits of physical activity in people living with HIV (PLHIV) are numerous and are largely reported in the literature. Understanding why PLHIV engage or not in physical activity is key to better accompanying health behaviors. Through a qualitative approach, our study sought to identify barriers to and facilitators of physical activity participation in PLHIV. Methods PLHIV were recruited by purposive sampling. Semi-structured interviews were carried-out in Center and Southern France. The data were analyzed following the principals of thematic analysis. Physical activity level was assessed through questions related to physical activity recommendations and a physical activity questionnaire. Results Fifteen semi-structured interviews (seven men and eight women; Mage = 46.6; SD = 10.3) were analyzed. Only a third of our sample was considered physically active with almost half being considered inactive according to recommendations. A multidimensional perspective of physical activity barriers and facilitators emerged. Barriers to and facilitators of physical activity were related to the physical, psychological and socio-environmental domains. Discussion Our research sought to better understand the beliefs and attitudes of PLHIV towards physical activity. Physical activity was overall viewed as beneficial by both active and less active PLHIV; however, PLHIV remain insufficiently active. This is discussed through our multidimensional approach of the barriers to and facilitators of physical activity.
BackgroundGiven rising costs and changing payment models, healthcare organisations are increasingly focused on value and efficiency. The goal of our study was to develop survey items to assess clinician and staff perspectives about the extent to which the organisational culture in hospitals and medical offices supports value and efficiency.MethodsDevelopment began with a literature review and interviews with experts and clinicians and staff from hospitals and medical offices. We identified key areas of value and efficiency culture, drafted survey items and conducted cognitive testing. Using purposive sampling to select sites, the 36-item surveys were pilot tested in 47 hospitals and 96 medical offices. Psychometric analysis was conducted on data from 3951 hospital respondents (42% response) and 1458 medical office respondents (63% response).ResultsFactor loadings, multilevel confirmatory factor analysis model fit and reliability estimates were acceptable for the 13 items grouped into 4 composite measures: Empowerment to Improve Efficiency (3 items), Efficiency and Waste Reduction (3 items), Patient Centeredness and Efficiency (3 items) and Management Support for Improving Efficiency and Reducing Waste (4 items). All composite measures were significantly intercorrelated and related to the four Overall Ratings of Healthcare Quality, indicating adequate conceptual convergence among the measures. Eight items assessing Experiences With Activities to Improve Efficiency were also included.ConclusionWe developed psychometrically sound survey items measuring value and efficiency culture. When added to the Agency for Healthcare Research and Quality Surveys on Patient Safety Culture, the item sets extend those surveys by assessing additional dimensions of organisational culture that affect care delivery. Healthcare organisations can use these item sets to assess how well their organisational culture supports value and efficiency and identify areas for improvement.
Background Technology-based physical activity suggests new opportunities for public health initiatives. Yet only 45% of technology interventions are theoretically based, and the acceptability mechanisms have been insufficiently studied. Acceptability and acceptance theories have provided interesting insights, particularly the unified theory of acceptance and use of technology 2 (UTAUT2). In several studies, the psychometric qualities of acceptability scales have not been well demonstrated. Objective The aim of this study was to adapt the UTAUT2 to the electronic health (eHealth) context and provide a preliminary validation of the eHealth acceptability scale in a French sample. Methods In line with the reference validation methodologies, we carried out the following stages of validating the scale with a total of 576 volunteers: translation and adaptation, dimensionality tests, reliability tests, and construct validity tests. We used confirmatory factor analysis to validate a 22-item instrument with 7 subscales: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit. Results The dimensionality tests showed that the bifactor confirmatory model presented the best fit indexes: χ2173=434.86 (P<.001), χ2/df=2.51, comparative fit index=.97, Tucker-Lewis index=.95, and root mean square error of approximation=.053 (90% CI .047-.059). The invariance tests of the eHealth acceptability factor structure by sex demonstrated no significant differences between models, except for the strict model. The partial strict model demonstrated no difference from the strong model. Cronbach alphas ranged from .77 to .95 for the 7 factors. We measured the internal reliability with a 4-week interval. The intraclass correlation coefficients for each subscale ranged from .62 to .88, and there were no significant differences in the t tests from time 1 to time 2. Assessments for convergent validity demonstrated that the eHealth acceptability constructs were significantly and positively related to behavioral intention, usage, and constructs from the technology acceptance model and the theory of planned behavior. Conclusions The 22-item French-language eHealth acceptability scale, divided into 7 subscales, showed good psychometric qualities. This scale is thus a valid and reliable tool to assess the acceptability of eHealth technology in French-speaking samples and offers promising avenues in research, clinical practice, and marketing.
Aims and objectivesTo get a deeper understanding of correlates of perceived HIV‐related fatigue by exploring its associations with sociodemographic characteristics and physical activity level of HIV‐infected people.BackgroundPrevious studies on HIV‐related fatigue have mainly focused on physiological and psychological characteristics, but few have considered its associations with sociodemographic variables. In addition, while physical activity has been found to reduce acute fatigue among HIV‐infected people, its links with chronic HIV‐related fatigue remain to be explored.DesignThe study employed an observational and cross‐sectional survey design. The manuscript was organised according to STROBE guidelines.MethodA total of 560 people living with HIV in France completed a measure of perceived physical fatigue using the Fatigue Intensity Scale. The predictors targeted sociodemographic characteristics and two measures of individuals' reported level of physical activity. Data were analysed by a stepwise multiple regression model.ResultsThe results showed that lower age, higher physical activity level and socio‐economic status were significantly associated with reduced perceived physical fatigue, explaining 25% of the variance.ConclusionsThe results highlighted the importance of considering sociodemographic and lifestyle characteristics to better characterise HIV‐related fatigue, in particular in an era where HIV as a chronic illness challenges questions of quality of life throughout increasingly longer lifespans.Relevance to clinical practiceThe results of this study have implications for HIV care professionals in terms of improving strategies for managing chronic fatigue or promoting physical activity according to more specific profiles of HIV‐infected people.
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