Technology-aided community engagement for exercise promotion: a mixed-methods systematic review

Abstract Background This review aims to provide an overview of evidence on feasibility and effectiveness in diverse populations of eHealth physical activity (PA) community engagement (CE) interventions. Increasing global PA levels would have a substantial positive impact on population health. Given their diffusion, eHealth technologies may address certain barriers to PA and reach wide audiences. The most recent Italian guidelines on PA highlight inequalities in health, which can be addressed using CE models. The potential scalability of successful eHealth CE interventions and the scarcity of previous reviews on the topic are reasons which convinced us to work on this paper. Methods This mixed-methods systematic review utilized the Joanna Briggs Institute methodologies. Primary quantitative outcome measures were minutes of PA per week. Qualitative outcome measures included self-efficacy and user engagement. Data were processed using a segregated convergent design. A narrative summary and a meta-aggregation were performed for synthesizing quantitative and qualitative data respectively. Only the interventions where CE principles were fulfilled were analyzed. Results Quantitative evidence supported effectiveness and feasibility of interventions to improve PA outcomes and related proxy indicators across studied populations. Qualitative findings suggest the utility of peer-support and that from other health care providers. Conclusions Implementing CE in future PA interventions will be critical for producing an effective digital application with the potential for considerable impact in the real world. If supported by central governments and the European Union, entities such as primary care hubs and local health units with their professionals and CE capabilities may play the key role in implementing evidence. Key messages • eHealth PA CE interventions work better when peer support takes place. • Health systems could pursue these prevention strategies for population health gains.


Background:
This review aims to provide an overview of evidence on feasibility and effectiveness in diverse populations of eHealth physical activity (PA) community engagement (CE) interventions. Increasing global PA levels would have a substantial positive impact on population health. Given their diffusion, eHealth technologies may address certain barriers to PA and reach wide audiences. The most recent Italian guidelines on PA highlight inequalities in health, which can be addressed using CE models. The potential scalability of successful eHealth CE interventions and the scarcity of previous reviews on the topic are reasons which convinced us to work on this paper.

Methods:
This mixed-methods systematic review utilized the Joanna Briggs Institute methodologies. Primary quantitative outcome measures were minutes of PA per week. Qualitative outcome measures included self-efficacy and user engagement. Data were processed using a segregated convergent design. A narrative summary and a meta-aggregation were performed for synthesizing quantitative and qualitative data respectively. Only the interventions where CE principles were fulfilled were analyzed.

Results:
Quantitative evidence supported effectiveness and feasibility of interventions to improve PA outcomes and related proxy indicators across studied populations. Qualitative findings suggest the utility of peer-support and that from other health care providers. Conclusions: Implementing CE in future PA interventions will be critical for producing an effective digital application with the potential for considerable impact in the real world. If supported by central governments and the European Union, entities such as primary care hubs and local health units with their professionals and CE capabilities may play the key role in implementing evidence.

Background:
Understanding health information flow in social networks is important for designing effective health communications strategies and to achieve health literacy. Limited information is known about variation in social networks and health information sharing in the COVID-19 pandemic by demographic factors. Young people are of particular interest given their heavy exposure to digital media sources, which include considerable health misinformation.

Methods:
Hawai'i (n = 324) residents between 18-35 completed a Spring 2021 online survey including questions on health information flow in social networks: (1) how many they talked to and (2) listened to about health. Two Poisson regression models were fit with gender, education, and race/ethnicity predicting social network size.

Results:
Respondents were 67.6% female. Respondents discussed their own health with 2-3 people (M = 2.18, SD = 2.95) and listened to roughly the same number. Respondents who talked with a greater number of individuals about their own health were significantly more likely to have larger networks for listening to others (r (317) = .614; p< .001). In the model for discussing their own health, as education increased so did social network size. For the model predicting discussing others' health, gender was significant (p = 0.003); women listened to 30.6% more individuals than men. Most (73%) respondents had conducted a recent digital health search for either themselves or someone else, including for parents, grandparents, and children. Facebook (63%) and Instagram (58%) were the most popular online sources for COVID-19 health information.

Conclusions:
Understanding social networks and digital health sources in young people are important for designing effective health communications to reach all communities, especially those experiencing health inequities, given the amount of health misinformation circulating and the need to build trust in