Disruption, changes, and adaptation: Experiences with chronic conditions in Mozambique, Nepal and Peru.

Chronic conditions are an increasing problem in Low- and Middle-Income Countries (LMICs) yet, the challenges faced by low-income populations with these conditions in such countries are not well understood. Based on in-depth interviews with people affected by chronic conditions and their family members, this paper describes the experience of patients suffering from diabetes or hypertension in rural communities of Mozambique, Nepal, and Peru. We analysed our data using the concepts of disruption and adaptive strategies, finding that despite being very different countries, the implications in daily lives, interpersonal relationships, and family dynamics are similar, and that oftentimes such impact is defined along gender lines. We show that adjustments to living with a chronic disease are not always easy, particularly when they imply changes and reconfiguration of roles and responsibilities for which neither the individual nor their families are prepared. The study adds to the literature on the disruptive effects of chronic conditions and stresses the importance of contextualising disruptive experiences among disadvantaged populations within weak health systems. Our findings highlight the relevance of understanding the challenges of developing adaptive solutions to chronic care in resource-scarce contexts.

Statistical Power of Alternative Structural Models for Comparative Effectiveness Research: Advantages of Modeling Unreliability.

The advantages of modeling the unreliability of outcomes when evaluating the comparative effectiveness of health interventions is illustrated. Adding an action-research intervention component to a regular summer job program for youth was expected to help in preventing risk behaviors. A series of simple two-group alternative structural equation models are compared to test the effect of the intervention on one key attitudinal outcome in terms of model fit and statistical power with Monte Carlo simulations. Some models presuming parameters equal across the intervention and comparison groups were underpowered to detect the intervention effect, yet modeling the unreliability of the outcome measure increased their statistical power and helped in the detection of the hypothesized effect. Comparative Effectiveness Research (CER) could benefit from flexible multi-group alternative structural models organized in decision trees, and modeling unreliability of measures can be of tremendous help for both the fit of statistical models to the data and their statistical power.

Effects of text messaging in addition to emails on physical activity among university and college employees in the UK.

OBJECTIVES: To test the effects of adding text messages to weekly email communications on recipients' total physical activity (leisure-time; workplace; domestic and garden; and active transportation) in employees of universities and colleges in the UK. METHODS: A randomised trial with two study groups (email only or email plus text messaging for 12 weeks) was implemented at five workplaces. Data were collected at baseline, immediately after, and four weeks after the intervention. Intervention effects on physical activity were evaluated using latent growth modelling. RESULTS: Total physical activity decreased over time in both groups but the decrease was non-significant. The only significant difference between groups was found for workplace physical activity, with the group receiving emails and text messages having a linear decrease of 2.81 Metabolic Equivalent h/week (ß = -0.31, p = 0.035) compared to the email only group. CONCLUSIONS: Sending employees two additional text messages resulted in less physical activity. Further investigation is needed to understand whether text messaging may play a beneficial role in promoting physical activity in workplace settings.