Itsuko Ozaki

Background: Advances in medical technology have increased the identification of children with special healthcare needs (CSHCN), indicating the need to strengthen care systems. However, existing systematic reviews are outdated, over a decade old, and narrowly focused—primarily on hospital-based comprehensive care programs and family-centered care. This scoping review aimed to organize and integrate existing findings on care and support for CSHCN and their families from the available literature. Methods: We employed an extensive search in December 2023, utilizing databases such as PubMed, Web of Science, CINAHL, ERIC, and The Cochrane Library. Selected articles were thoroughly reviewed, categorized, and organized by the type of care and support addressed. The findings of the included studies were organized and integrated descriptively. Results: Following a comprehensive search and screening process, 49 articles were selected and categorized into 5 themes: care systems based on hospitals and other specialized institutions, specialized personnel or programs for care coordination/integrated care, support using telehealth technology to enhance and facilitate care, care aimed at reducing the psychological burden on the child and family, and peer and group support emphasizing the role of family and community. Publication years ranged from 1998 to 2023. The studies were conducted in 7 countries, predominantly in the United States, with additional studies from Canada, Australia, the United Kingdom, Japan, India, and Belgium. Conclusions: This study underscores the importance of establishing effective care systems that ensure continuous and smooth care coordination from multiple perspectives for the well-being of CSHCN and their families. To enhance support systems for the well-being of CSHCN and their families, it is necessary to pursue a multi-faceted approach that facilitates continuous and smooth care coordination from various perspectives.

Background: Health care providers can make health guidance more effective by using mobile health technologies such as health apps. Although health care providers need to know who uses health apps, existing studies have yielded inconsistent results. Objective: The aim of the study was (1) to clarify the prevalence and patterns of health app use to improve health behaviors for preventing lifestyle-related diseases among Japanese workers and (2) to identify the associations among demographic characteristics, health behavior, and internet use and health app use by gender. Methods: Data were collected from a cross-sectional internet survey in 2023. In total, 2200 participants were included, with an even distribution of men and women in each age group aged 20 to 60 years. The participants were workers with smartphones and reported their gender, age, residence area, marital status, education, employment status, occupation, work pattern, diseases under treatment, health checkups, health guidance, health behaviors, internet use duration, and number of devices used. We asked about current and previous health app use for 1 month. A multivariate logistic regression analysis was conducted by gender. Results: Of the participants, 472 (21.5%) and 189 (8.6%) were current and previous health app users, respectively. Most current and previous health app users used features that record and track their physical activity and other health behaviors. Health app users—both men and women—were more likely to have health checkups (odds ratio [OR] 1.53, 95% CI 1.12-2.11 and OR 1.51, 95% CI 1.10-2.07, respectively), receive health guidance (OR 2.01, 95% CI 1.47-2.74 and OR 1.86, 95% CI 1.32-2.62, respectively), engage in regular physical activity (OR 2.57, 95% CI 1.91-3.47 and OR 1.94, 95% CI 1.41-2.67, respectively), use the internet for 120-179 minutes per day (OR 1.76, 95% CI 1.13-2.75 and OR 1.70, 95% CI 1.12-2.57, respectively), and were less likely to be older (50-59 years: OR 0.54, 95% CI 0.33-0.88 and OR 0.40, 95% CI 0.25-0.6, respectively, and 60-69 years: OR 0.37, 95% CI 0.22-0.62 and OR 0.47, 95% CI 0.28-0.77, respectively). According to gender, male health app users were more likely to be married (OR 1.69, 95% CI 1.23-2.33) and less likely to work in the security, agriculture, forestry, fishing, manufacturing, or transportation industries (OR 0.62, 95% CI 0.41-0.95). Female health app users were more likely to have a university education or higher (OR 1.55, 95% CI 1.061-2.26), maintain an appropriate body weight (OR 1.52, 95% CI 1.10-2.11), and use 3 or more devices (OR 2.13, 95% CI 1.41-3.23). Conclusions: Physical activity and health guidance are strong predictors of app use. Health care providers should assess the target populations’ preferences for app use based on their characteristics, support their app use, and enhance the effectiveness of health guidance.

BACKGROUND Health care providers can make health guidance more effective by using mobile health technologies such as health apps. Although health care providers need to know who uses health apps, existing studies have yielded inconsistent results. OBJECTIVE The aim of the study was (1) to clarify the prevalence and patterns of health app use to improve health behaviors for preventing lifestyle-related diseases among Japanese workers and (2) to identify the associations among demographic characteristics, health behavior, and internet use and health app use by gender. METHODS Data were collected from a cross-sectional internet survey in 2023. In total, 2200 participants were included, with an even distribution of men and women in each age group aged 20 to 60 years. The participants were workers with smartphones and reported their gender, age, residence area, marital status, education, employment status, occupation, work pattern, diseases under treatment, health checkups, health guidance, health behaviors, internet use duration, and number of devices used. We asked about current and previous health app use for 1 month. A multivariate logistic regression analysis was conducted by gender. RESULTS Of the participants, 472 (21.5%) and 189 (8.6%) were current and previous health app users, respectively. Most current and previous health app users used features that record and track their physical activity and other health behaviors. Health app users—both men and women—were more likely to have health checkups (odds ratio [OR] 1.53, 95% CI 1.12-2.11 and OR 1.51, 95% CI 1.10-2.07, respectively), receive health guidance (OR 2.01, 95% CI 1.47-2.74 and OR 1.86, 95% CI 1.32-2.62, respectively), engage in regular physical activity (OR 2.57, 95% CI 1.91-3.47 and OR 1.94, 95% CI 1.41-2.67, respectively), use the internet for 120-179 minutes per day (OR 1.76, 95% CI 1.13-2.75 and OR 1.70, 95% CI 1.12-2.57, respectively), and were less likely to be older (50-59 years: OR 0.54, 95% CI 0.33-0.88 and OR 0.40, 95% CI 0.25-0.6, respectively, and 60-69 years: OR 0.37, 95% CI 0.22-0.62 and OR 0.47, 95% CI 0.28-0.77, respectively). According to gender, male health app users were more likely to be married (OR 1.69, 95% CI 1.23-2.33) and less likely to work in the security, agriculture, forestry, fishing, manufacturing, or transportation industries (OR 0.62, 95% CI 0.41-0.95). Female health app users were more likely to have a university education or higher (OR 1.55, 95% CI 1.061-2.26), maintain an appropriate body weight (OR 1.52, 95% CI 1.10-2.11), and use 3 or more devices (OR 2.13, 95% CI 1.41-3.23). CONCLUSIONS Physical activity and health guidance are strong predictors of app use. Health care providers should assess the target populations’ preferences for app use based on their characteristics, support their app use, and enhance the effectiveness of health guidance. CLINICALTRIAL

Objective: We assessed the implementation status of policies and environmental strategies for increasing physical activity (PA) and healthy eating (HE) in small and medium corporations to identify feasible and acceptable interventions. Methods: An anonymous self-administered questionnaire was administered to 655 small and medium corporations to determine whether they implemented PA (18 items) and HE (17 items) policies and environmental strategies and, if not, their intention to do so in the future. We compared differences in the implementation and intention to implement rate by corporation size. Results: The implementation and intention rates of costly items for PA and HE were low, regardless of corporation size, but were significantly lower in small corporations than in medium corporations. Conclusions: To overcome cost barriers, employee participation must be encouraged, and employee knowledge of PA and HE must be improved.

Objectives Human support can boost weight reduction in Internet‐based weight‐loss intervention. However, the most effective way to combine human support and the Internet for weight loss is unclear. This study aimed to examine the effects of two weight‐loss programs for male workers aged 18‐39 that combined different intensities of human support with website support compared to a delayed‐intervention group (control group; CG), in a randomized controlled trial. Methods Seventy‐one participants with overweight or obesity were allocated to one of three 12‐week treatment programs. The Standard Support Group (SSG) was provided support via website and two face‐to‐face group guidance sessions, at the beginning and at the end of the program along with monthly general emails throughout the program. The Enhanced Support Group (ESG) received four remote support sessions based on Supportive Accountability (SA) in addition to the SSG. The CG was provided the same program as SSG after the other two groups had completed the program. The primary outcome was body weight reduction. Results ESG participants reduced their weight significantly more than SSG and CG participants (P = 0.038, P < 0.001, respectively), and SSG participants reduced their weight significantly more than CG participants (P = 0.033). Conclusions The additional remote human support provided to the participants in the ESG was beneficial for weight loss in male workers. The low‐intensity program provided to the SSG was also effective. Further studies with more participants in diverse settings and with participants who are less interested in their health and weight management are needed.