Background Community participation is widely believed to be beneficial to the development, implementation and evaluation of health services. However, many challenges to successful and sustainable community involvement remain. Importantly, there is little evidence on the effect of community participation in terms of outcomes at both the community and individual level. Our systematic review seeks to examine the evidence on outcomes of community participation in high and upper-middle income countries. Methods and findings This review was developed according to PRISMA guidelines. Eligible studies included those that involved the community, service users, consumers, households, patients, public and their representatives in the development, implementation, and evaluation of health services, policy or interventions. We searched the following databases from January 2000 to September 2016: Medline, Embase, Global Health, Scopus, and LILACs. We independently screened articles for inclusion, conducted data extraction, and assessed studies for risk of bias. No language restrictions were made. 27,232 records were identified, with 23,468 after removal of duplicates. Following titles and abstracts screening, 49 met the inclusion criteria for this review. A narrative synthesis of the findings was conducted. Outcomes were categorised as process outcomes, community outcomes, health outcomes, empowerment and stakeholder perspectives. Our review reports a breadth of evidence that community involvement has a positive impact on health, particularly when substantiated by strong organisational and community processes. This is in line with the notion that participatory approaches and positive outcomes including community empowerment and health improvements do not occur in a linear progression, but instead consists of complex processes influenced by an array of social and cultural factors. Conclusion This review adds to the evidence base supporting the effectiveness of community participation in yielding positive outcomes at the organizational, community and individual level. Trial registration Prospero record number: CRD42016048244 .

Background The use of mobile health (mHealth) has gained popularity globally, including for its use in a variety of health interventions, particularly through short message service (SMS) text messaging. However, there are challenges to the use of mHealth, particularly among older users who have a large heterogeneity in usability and accessibility barriers when using technology. Objective In order to better understand and conceptualize the diversity of users and give insight into their particular needs, we turned to persona creation. Personas are user archetypes created through data generated from multi-method inquiry with actual target users. Personas are an appropriate yet largely underutilized component of current mHealth research. Methods Leveraging data from a multi-method study conducted in Singapore with an ethnically diverse population including Chinese, Malay, and Indian participants, we used a proforma to analyze data from the qualitative component (ie, 20 in-depth interviews) and quantitative component (ie, 100 interviewer-guided surveys). We then identified key characteristics, including technology use and preferences as well as adherence factors, to synthesize five personas reflective of persons over the age of 40 years in Singapore with atherosclerotic cardiovascular disease (ASCVD) or ASCVD risk factors, such as hypertension. Results We present five personas typologized as (1) The Quiet Analog, (2) The Busy Grandparent, (3) The Socializer, (4) The Newly Diagnosed, and (5) The Hard-to-Reach. We report on four key characteristics: health care access, medication adherence, mobile phone technology usage (ie, ownership, access, and utilization), and interest in mHealth. Finally, we provide insights into how these personas may be used in the design and implementation of an mHealth intervention. Our work demonstrates how multi-method data can create biopsychosocial personas that can be used to explore and address the diversity in behaviors, preferences, and needs in user groups. Conclusions With wider adoption of mHealth, it is important that we consider user-centered design techniques and design thinking in order to create meaningful, patient-centered interventions for adherence to medications. Future research in this area should include greater exploration of how these five personas can be used to better understand how and when is best to deliver mHealth interventions in Singapore and beyond.

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BackgroundAtherosclerotic cardiovascular disease (ASCVD) is a growing public health threat globally, and many individuals remain undiagnosed, untreated, and their condition remains uncontrolled. The key to effective ASCVD management is adherence to pharmacotherapy, and non-adherence has been associated with an increased risk of cardiovascular events and complications such as stroke, further impacting a patient’s ability to be adherent. Our qualitative study aimed to explore factors influencing medication adherence in the primary and secondary prevention of ASCVD in Singapore. We propose a synthesized framework, which expands on current understandings of the factors of medication adherence, as a frame of analysis in this study.MethodsWe conducted in-depth, semi-structured interviews with 20 patients over the age of 40 with ASCVD and/or its risk factors in Singapore. QSR Nvivo 11 was used to conduct thematic analysis using an inductive approach.ResultsUsing a synthesized framework, we reported that complex medication regimens, the lack of support received during regimen changes, and the perceived seriousness of a condition could impact a patient’s medication adherence. Key findings suggest that the relationship between health care professionals and patients impacted patient acceptability of the medication regimen and consequently medication adherence. Different patient beliefs regarding diagnosis, medication, and adherence had some bearing on the ability to perceive the need to adhere to their medication. Patients also reported that they could afford medication, sometimes with the help of family members. Patients also largely reported not needing help managing their medication, considering it an individual responsibility.ConclusionWe identified key factors which future interventions looking to improve medication adherence ought to consider. These include changing patient perceptions of health systems, diagnosis, medication, and adherence; patient-centeredness in developing interventions that facilitate adherence through building self-efficacy and stronger support networks via patient empowerment and engagement; decreasing patient co-payments on medication; and cultivating a trusting patient–provider relationship.