Background China has the biggest stroke burden in the world. Continued measures have been taken to enhance post-stroke rehabilitation management in the last two decades. The weak link is with home-based rehabilitation, with more attention and resources devoted to inpatient rehabilitation. Objective to address the service gap, this study tested a home-based transitional care model for stroke survivors. Methods a randomized controlled trial was conducted from February 2019 to May 2020 in Harbin, China, involving 116 patients with ischemic stroke. The intervention group participants (n = 58, 50%) received a 12-week home-based care program with components of transitional care measures and the national guidelines for facilitating patients to perform home-based exercises with continued monitoring and gradual progression. Control group participants received standard care including medication advice, rehabilitation exercise and one nurse-initiated follow-up call. Data were collected at baseline and after a 90-day (post-intervention) and a 180-day (post-intervention) follow-up. The primary outcome was quality of life (QOL), measured using the EuroQol-Five Dimension 5-Level scale (EQ-5D-5L). Results both intervention and control groups showed improvement in EQ-5D-5L from baseline to post-intervention (0.66 versus 0.83, P < 0.001) and (0.66 versus 0.77, P < 0.001), respectively, and there was significant group-by-time interaction in EuroQol-Visual Analogue Scale from baseline to post-intervention at 90 days and follow-up at 180 days with the intervention group experiencing better improvement. Similarly, significant interaction effects were also found in the Stroke Impact Symptom scale, self-efficacy and modified Barthel Index. Conclusions home-based transitional care was effective in improving QOL, symptoms, self-efficacy and activities of daily living.

No abstract

The use of the Chinese version of SF-12v2 for reporting the change over time in quality of life among medical patients after hospital discharge may need to be interpreted with caution. The SF-12 tends to underestimate the difference when compared with the SF-36.

Objective: This study aimed to evaluate the television (TV) viewing and computer and mobile phone usage duration in a community sample of Chinese adults and examine their associations with BMI and obesity.Methods: We conducted a community-based health needs assessment study from February to December 2018 among 2,873 Chinese adults in Nanshan District of Shenzhen, China. We used self-administered questionnaires to collect the data from 24 community health service centers in Nanshan District. The participants individually recorded the time they spent watching TV and using computers and mobile phones. They also answered questions about their sociodemographic and lifestyle factors. We measured their height and weight by using ultrasonic height and weight scales. Then, we calculated and categorized their BMI in accordance with the standards prescribed by the World Health Organization for Asians.Results: Most of the participants were young adults (aged 18–44 years, 74.2%). The overall prevalence of obesity was 15.30%. The prevalence of TV, computer, and mobile phone usage was 75.5, 71.2, and 93.8% in females and 71.1, 75.7, and 94.2% in males, respectively. The youth (18–24 years) and the elderly (65 years or older) had the longest time using mobile phones (3.78 ± 2.51 h) and watching TV programs (2.12 ± 1.38 h), respectively. Longer usage of computers and mobile phones was evident in males (p < 0.05) and participants with a high education level (p < 0.01). The univariate analysis results showed an association between high BMI and obesity and short duration of using computers and mobile phones (all p < 0.05). By contrast, no significant associations were found between the length of TV program viewing and mobile phone usage and BMI (p > 0.05). After we adjusted for potential confounders, we found that computer usage time and the overall usage time of the three electronic devices had an inverse association with BMI (p < 0.05).Conclusions: Mobile phones were the most popular electronic device in Nanshan residents of Shenzhen. Unlike most previous studies, we found an inverse association between screen time and BMI. Nevertheless, scholars should conduct further studies to explore this association. Overall, we strongly encourage the appropriate use of electronic devices.

Introduction Perception of e-health is a broad concept involving many aspects of values and thoughts related to e-health. It is an important precursor to using e-health technologies to promote health. The purpose of this study is to validate an instrument for measuring perceptions of e-health technology among healthcare professionals. Methods This methodological study was conducted in China. We based on an existing instrument to develop a new instrument (i.e. PETS-C Brief). In phase 1, we modified and translated the existing instrument into Chinese. Subsequently, we employed the modified and translated instrument to conduct a cross-sectional survey. In phase 2, we randomly selected data from 400 participants to run an exploratory factor analysis and item analysis to reduce the number of items and develop factors. In phase 3, we employed the data from the remaining participants to run a confirmatory factor analysis to confirm the instrument structure. Results In phase 1, the modified and translated instrument showed good content and face validities (S-CVI = 0.96, mean comprehensibility = 93.5%). 1338 participants completed the survey. In phase 2, the number of items was reduced from 40 to 19, which demonstrated a 4-factor model. In phase 3, the goodness-of-fit of the 4-factor PETS-C Brief was shown to be acceptable (χ2/d.f. = 6.40, CFI = 0.93, RMR = 0.40, NFI = 0.92, RMSEA = 0.076, IFI = 0.93). Discussion This study suggests using this instrument to survey perceptions of e-health technology in Chinese people. Future studies should examine its other important psychometric properties, including convergent/discriminant and predictive validity on behaviors using e-health technology.