Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic pain.

Background: As management of chronic pain continues to be suboptimal, there is a need for tools that support frequent, longitudinal pain self-reporting to improve our understanding of pain. This study aimed to assess the feasibility and acceptability of daily pain self-reporting using a smartphone-based pain manikin. Methods: For this prospective feasibility study, we recruited adults with lived experience of painful musculoskeletal condition. They were asked to complete daily pain self-reports via an app for 30 days. We assessed feasibility by calculating pain report completion levels, and investigated differences in completion levels between subgroups. We assessed acceptability via an end-of-study questionnaire, which we analysed descriptively. Results: Of the 104 participants, the majority were female (n = 87; 84%), aged 45-64 (n = 59; 57%), and of white ethnic background (n = 89; 86%). The mean completion levels was 21 (± 7.7) pain self-reports. People who were not working (odds ratio (OR) = 1.84; 95% confidence interval (CI), 1.52-2.23) were more likely, and people living in less deprived areas (OR = 0.77; 95% CI, 0.62-0.97) and of non-white ethnicity (OR = 0.45; 95% CI, 0.36-0.57) were less likely to complete pain self-reports than their employed, more deprived and white counterparts, respectively. Of the 96 participants completing the end-of-study questionnaire, almost all participants agreed that it was easy to complete a pain drawing (n = 89; 93%). Conclusion: It is feasible and acceptable to self-report pain using a smartphone-based manikin over a month. For its wider adoption for pain self-reporting, the feasibility and acceptability should be further explored among people with diverse socio-economic and ethnic backgrounds.

Environment and Its Influence on Health and Demographics in South Korea.

As the prevalence of overweight and obesity has been increasing in South Korea, it is critical to better understand possible associations between environmental surroundings and general health status. We characterize key health test readings and basic demographic information from 10,816 South Koreans, obtained from two Ubiquitous Healthcare (U-Healthcare) centers that have distinct surrounding neighborhood characteristics. One is located in a rural area in Busan, the other is located in an urban area in Daegu surrounded by a highly crowded residential and commercial business area. We analyze comprehensive health data sets, including blood pressure, body mass index, pulse rate, and body fat percentage from December 2013 to December 2014 to study differences in overall health test measurements between users of rural and urban U-Healthcare centers. We conduct multiple regression analyses to evaluate differences in general health status between the two centers, adjusting for confounding factors. We report statistical evidence of differences in blood pressure at the two locations. As local residents are major users, the result indicates that the environmental surroundings of the centers can influence the demographics of the users, the type of health tests in demand, and the users' health status. We further envision that U-Healthcare centers will provide public users with an opportunity for enhancing their current health, which could potentially be used to prevent them from developing chronic diseases, while providing surveillance healthcare data.

U-Healthcare Center Service in Busan City, South Korea: An Empirical Analysis and the Results of 1 Year of Service.

INTRODUCTION: Studies have demonstrated that technological innovation is vital for prosperous economies, and greater technological innovation leads to improved public health indicators. The South Korean government has implemented policies to provide city services using information communication technologies, and ubiquitous healthcare (u-healthcare) wellness is one of these. This article presents the effects of using a u-healthcare center model that proves self-healthcare monitoring can work for the general population. MATERIALS AND METHODS: The u-healthcare center has provided service to the public since April 2013. It is equipped with medical devices that evaluate physiological parameters such as weight, body mass index (BMI), blood pressure (BP), pulse rate (PR), and body fat (BF). This article focuses on the analysis of BMI, BP, PR, and BF parameters. RESULTS: Health test results from 12,766 voluntary patients of the u-healthcare center were analyzed during a 1-year period. The four health parameters from each of the four seasons were analyzed and compared, showing statistically significant seasonal differences. A Duncan's post hoc analysis showed that BMI did not differ between spring and summer, whereas BP differed throughout all seasons. Participation of females was higher compared with males, and men's average BMI was statistically higher than that of the women. Some additional significant findings for all participants were as follows: 48.8% scored normal in BMI, 31.7% scored normal-controlled in BP, 90.7% scored normal in PR, and 24.8% scored normal in BF. A survey showed that 96.4% found the u-healthcare center to be generally helpful, and 95.7% responded that they would recommend it. CONCLUSIONS: Implementation of u-healthcare projects provides a new public service toward evaluating health parameters, providing historical health information access, promoting self-monitoring, and motivating users to be more aware of their own health status.