The adoption of eHealth has not made great strides in Uganda especially among patients despite its potential in improving patient outcomes through access to care, patient engagement and its ability to reduce unnecessary hospital visits. Previous studies have focused on barriers and facilitators of eHealth in general. None has examined the adoption of eHealth among patients. Therefore, this study set out to investigate the barriers and facilitators of eHealth adoption among patients in Uganda. A cross-sectional survey was conducted in four districts across the country. A total of 292 patients of 18 years and above participated in the study and their selection was through simple random sampling. The bivariate analysis results revealed that education level (χ2 = 14.9, ρ<0.05), gender (χ2 = 4.95, ρ<0.05) and location (χ2 = 85.9, ρ<0.05) have a statistical significant relationship with eHealth adoption. The logistic regression model further revealed that male patients (OR=2.662), those with master’s degree and above (OR=2.2797) and those residing in Kampala (OR=.012) were more likely to use eHealth systems than their counterparts. The success of eHealth requires players in the health sector to ardently focus on the socio-demographic factors of the users, technological and hospital conditions if eHealth adoption is to ensue.

Aims: Photovoice is a strategy to allow people to express their views and concerns about health. This project aimed to promote physical activity (PA) among patients with chronic illness, identify facilitators and barriers for PA, enhance walking within the neighbourhood, and build up efficacy in doing exercise. Design: A quasi-experimental study with waitlisted control and pre-and-post measures. Setting: Community elderly centres. Participants: A total of 204 older adults with diabetes and/or hypertension were recruited. They were assigned to either intervention group (IG) or waitlisted control group (CG). Intervention: Under the supervision of a nurse, six weekly group meetings were arranged in community elderly centres in which the participants freely exchanged their views about the barriers and facilitators of regular physical activity. Participants were encourage to take photos in their neighbourhood or at homes, and brought these photos for sharing in the group meetings. The photos showed the barriers and the facilitators to PA. In the last meeting, each participant worked out a plan to perform PA in the coming four weeks. Measures: PA referred to the number of steps taken per day and it was measured by Garmin Accelerometer at baseline, at Week 6 and Week 10. Other measures include the 9-item Self-efficacy Scale for Exercise - Chinese version (SEE-C), the 23-item Chinese Barriers to Exercise Scale and Senior Fitness Tests. General linear mixed model was used to compare the outcomes between IG and CG after the intervention. Results: After the 6-week intervention, the average number of steps taken by the IG participants increased. At Week 10, there was a significant higher proportion of the IG participants who had increased at least 1,200 steps than that of the CG (Estimate=0.151, SE=0.066, p<0.05). The lower body strength of the IG participants was significantly higher than that of the CG (mean difference = 0.94, t=1.957, p<0.05) and the lower limb flexibility of the IG participants was also significantly higher than that of the CG (mean difference = 2.04, t=2.397, p<0.05) at Week 10. Conclusion: Understanding older adults’ views and thoughts about barriers to PA through photos and group discussion seemed to be a good strategy to motivate older adults with chronic illnesses to commit to regular physical activity. This photovoice intervention improved the participants’ physical activity level and physical fitness, particularly in lower limb flexibility and body strength.

Background: Health inequity (HI) remains a major challenge in public health. Improving the health of children with low socioeconomic status (SES) can help to reduce overall HI in children. Childhood obesity is a global problem, entailing several adverse health effects. It is crucial to assess influencing factors for adoption, implementation and sustainment of interventions. This review aims to identify articles reporting about influencing factors for the implementation of school-based interventions promoting obesity prevention behaviors in children with low SES. It aims to critically appraise the articles’ quality, assess influencing factors, categorize and evaluate them, and to discuss possible implications. Methods: A systematic search was conducted in 7 databases with the following main inclusion criteria: 1) school-based interventions and 2) target group aged 5–14 years. The Consolidated Framework for Implementation Research, its five domains (intervention characteristics, inner setting, outer setting, characteristics of individuals, process) along with 39 constructs within these domains were used to deductively analyze the data. We grouped the articles with regard to the characteristics of the interventions in simple and complex interventions. For each domain, and for the groups of simple and complex interventions, the most commonly reported influencing factors are identified. Results: 6452 articles were screened, and 16 met all eligibility criteria. Included articles applied mixed methods (n=10), qualitative (n=5) and quantitative design (n=1). Of these, five were considered to report simple interventions and eleven were considered to report complex interventions. In total, 295 influencing factors were assessed. Aspects of the inner setting were reported in every study, aspects of the outer setting were the least reported domain, and in the group of simple interventions not reported at all. In the inner setting, most reported influencing factors were time (n=7), scheduling (n=6) and communication (n=6). Conclusion: This review found a wide range of influencing factors for implementation. Most important influencing factors need to be assessed for every setting. Including all stakeholders involved in the implementation process enhances the prioritization of the most important influencing factors for the specific setting. More empirical research and practical guidance are needed to promote obesity prevention behaviors among children with low SES.