Determinants of and Willingness to Use and Pay for Digital Health Technologies Among the Urban Elderly in Hangzhou, China

Smartphone Apps for Pulmonary Hypertension: Systematic Search and Content Evaluation

Background

Pulmonary hypertension (PH) is a chronic and complex condition, requiring consistent management and education. The widespread use of smartphones has opened possibilities for mobile health apps to support both patients and health care professionals in monitoring and managing PH more effectively.

Objective

This study aimed to identify and assess the quality of free smartphone apps for PH targeted at either patients or health care professionals.

Methods

A systematic search was conducted on freely available apps for patients with PH and health care professionals, accessed from a Spanish IP address, on Android (Google Play) and iOS (App Store) platforms. Searches were performed in October 2022 and 2023. Apps were independently analyzed by two reviewers, focusing on general characteristics. Quality assessment was based on the Mobile Application Rating Scale (MARS) framework, and Mann-Whitney U tests compared mean MARS scores against specific variables.

Results

In the overall study, 21 apps were identified. In the 2022 search, 19 apps were listed (9 iOS, 7 Android, 3 available on both platforms). In the subsequent 2023 search, 16 apps were identified (6 Android, 7 iOS, 3 available on both platforms). Of those identified in 2022, 14 remained available in 2023, with only 7 updated since 2022. In addition, 12 apps targeted patients or the general population, while 9 targeted health care professionals; none involved patients in the development or design. Conversely, 13 apps involving health care professionals were identified. There were 10 apps that received pharmaceutical industry funding. The primary goal for 81% (17/21) of the apps was to disseminate general information about PH. The overall mean MARS quality was acceptable in 2022 and 2023, with mean ratings of 3.1 (SD 0.6) and 3.3 (SD 0.5), respectively. The functionality category achieved the highest scores in both years, indicating ease of use and intuitive navigation. In contrast, the subjective quality domain consistently received the lowest ratings in the MARS assessment across both years. None of the apps underwent clinical testing themselves; however, 2 incorporated tools or algorithms derived from trials. The overall quality of iOS apps statistically outperformed that of Android apps in both years (P<.05). Furthermore, the involvement of health care professionals in app development was associated with enhanced quality, a trend observed in both years (P=.003 for both years).

Conclusions

This review of mobile health apps for PH reveals their emergent development stage, with generally acceptable quality but lacking refinement. It highlights the critical role of health care professionals in app development, as they contribute significantly to quality and reliability. Despite this, a notable stagnation in app quality and functionality improvement over 2 years points to a need for continuous innovation and clinical validation for effective clinical integration. This research advocates for future app developers to actively engage with health care professionals, integrate patient insights, and mandate rigorous clinical validation for PH management.

Perceptions and Satisfaction With the Use of Digital Medical Services in Urban Older Adults of China: Mixed Methods Study

BACKGROUND

In an aging and information-driven society, older adults have distinct perceptions of and specific demands for digital medical services. It is essential for society to understand these needs and develop a more thoughtful approach to digital health care.

OBJECTIVE

This study aims to evaluate the behavioral intention and satisfaction of older adults with digital medical services by identifying the perceived factors and the pathways through which these factors influence their behavior.

METHODS

This study used a mixed methods approach, combining qualitative and quantitative analyses. A focus group interview was conducted with 30 randomly selected older adults, and the interviews were transcribed verbatim and coded using grounded theory. In addition, 876 valid questionnaires were collected to describe older adults' perceptions of and satisfaction with digital medical care. Then, t tests and ANOVA were used to explore differences among various demographic groups, while hierarchical multiple regression was conducted to identify the factors most closely related to satisfaction. Structural equation modeling was used to identify multiple mediating effects.

RESULTS

The qualitative study identified the core category of "medical service relief and transformation paths for older adults in the context of digital reform." Quantitative analysis revealed that more than half of the older adults were satisfied with digital medical services, and behavioral intentions were higher among those with higher incomes and education levels. Structural equation modeling confirmed that external variables, such as digital skills training, positively influenced perceived ease of use (β=.594, P<.001), perceived usefulness (β=.544, P<.001), and promoted digital medical behavioral intentions (β=.256, P<.001), while also reducing perceived risk (β=-.295, P<.001). Additionally, perceived ease of use (β=.168, P<.001) and perceived usefulness (β=.508, P<.001) positively impacted behavioral intention, whereas perceived risk (β=-.05, P=.037) exerted a negative influence. Furthermore, behavioral intention (β=.641, P<.001) significantly and positively affected older adults' satisfaction with digital medical care. The mediation test identified 4 significant paths: (1) external variables → perceived ease of use → behavioral intention (effect size of 13.9%); (2) external variables → perceived usefulness → behavioral intention (effect size of 38.4%); (3) external variables → perceived ease of use → perceived usefulness → behavioral intention (effect size of 10.1%); and (4) a direct effect (35.5%) from external variables to behavioral intention.

CONCLUSIONS

Based on the study's findings, addressing the needs of older adults and enhancing perceived usefulness are the most effective ways to encourage the use of digital health care devices. Community support plays a crucial role in helping older adults integrate into digital health care, and adapting the design of services and products to suit their needs improves their perceptions of digital health care. This, in turn, promotes usage behavior and satisfaction, while the negative impact of perceived risk remains minimal.

Research Trends and Hot Spots in Telemedicine for the Elderly: A Scientometric Analysis

BACKGROUND

As the elderly population rapidly grows, age-related health issues are increasing. Telemedicine helps older adults adapt by providing efficient and accessible health management and medical services.

OBJECTIVES

This study employs bibliometric analysis to examine research focus areas, emerging trends, and collaboration networks in telemedicine for older adults over the past three decades.

METHODS

The Web of Science Core Collection served as the primary data source for the publications on telemedicine and the elderly since the database's inception through June 2024. Using CiteSpace.6.2.R4 software, keyword and collaboration network visualizations were generated, including clusters, co-authors, and co-citations.

RESULTS

This study analyzed 586 papers from 252 countries or regions, which were published across 246 journals and written by 2750 authors.

CONCLUSIONS

The analysis revealed three primary research directions encompassing 42 clusters: (1) health literacy and technology adaptation; (2) telemedicine technology and health management; and (3) social interaction and economic impact. Research hotspots include elderly fitness, mobile health, technology acceptance, telemedicine, elderly care, and health literacy. Despite the potential benefit of telemedicine, challenges persist in areas such as technology acceptance, usability, effectiveness, service quality, and privacy concerns. This review provides a comprehensive overview of current research on telemedicine for the elderly and highlights emerging trends in the field.

Willingness to Pay for Telemedicine Services Among Uninsured Individuals in Saudi Arabia: A Cross-Sectional Survey

Purpose

This study aimed to explore the Willingness To Pay (WTP) of uninsured individuals in Saudi Arabia and the factors influencing their decisions regarding telemedicine services.

Patients and Methods

This study used a cross-sectional survey design and convenience sampling to gather data from respondents aged 18 years or older who had visited healthcare facilities at least once in the past year and were uninsured. WTP was determined using the contingent valuation method, and a two-part regression model was applied to analyze the factors influencing WTP.

Results

The study included 4232 participants and discovered that approximately 17.41% were willing to pay for telemedicine services. Those aged 60 and older, employed in the government or private sector, in higher socioeconomic quintiles, and experiencing chronic health issues showed a positive association with their WTP value. Conversely, individuals aged between 30 and 44 years, married, and unemployed exhibited a negative association with a lower WTP value.

Conclusion

The findings indicate that most respondents hesitated to pay for telemedicine services, with a significant influence from sociodemographic characteristics, underscoring the need to promote telemedicine use among underserved populations and address health disparities.

Analysis of health risk factors for older adults living alone in China and establishment and evaluation of a nomogram prediction model

Objective

To understand the health status of older adults living alone in China and analyze the influencing factors, so as to provide reference for improving the health status of older adults living alone.

Methods

Based on CGSS data from China General Social Survey (2017), the influencing factors of health status of older adults living alone were analyzed by unconditional Logistic regression, and the R software was used to develop a nomogram for predicting the risk of self-assessed unhealthy adverse outcomes.

Results

Gender, annual income, mandarin listening level and participation in medical insurance were the influencing factors of self-rated health of older adults living alone. Age and annual income are the influencing factors of physiological health. Annual income and Internet use were influential factors for mental health. C-Statistic of nomogram prediction model was 0.645. The calibration curve showed that goodness of fit test (χ2 = 58.09, p < 0.001), and the overall prediction ability of the model was good.

Conclusion

The health status of older adults living alone in the home-based older adults care is worrying, and it is affected by various factors. We should pay more attention to older adults living alone, improve the ability of listening and distinguishing mandarin and the use of health information platforms for older adults living alone, and further implement medical insurance policies and health services. Announcing the solution to promote healthy home-based care for older adults living alone.

Construction and Scale Development of Willingness to Utilize Primary Care Services: A Study from China

Purpose

The willingness to utilize primary care services is crucial in explaining residents' healthcare-seeking behavior and decision-making in the context of the free choice of healthcare providers. This study examines China's family doctor contracting services system to elucidate the conceptual structure of the willingness to utilize primary care services and develop a reliable measurement tool.

Methods

The study was conducted in two phases. Firstly, in-depth interviews were conducted with community residents, resulting in 42 qualitative data sets. Subsequently, a measurement scale for the willingness to utilize family doctor contracting services was developed, and the scale was validated through two surveys using exploratory factor analysis (N = 250) and confirmatory factor analysis (N = 278), respectively.

Results

By employing a grounded theory approach, this study analyzes the connotation of willingness to utilize family doctor contracting services. It constructs a conceptual framework for the willingness to utilize primary care services. This conceptual framework consists of three dimensions: perceived feasibility, perceived desirability, and perceived initiative. Based on this framework, a measurement scale comprising 14 items was developed and subjected to rigorous validation procedures to ensure its reliability and validity.

Conclusion

This study extends prior research on healthcare service utilization willingness by elucidating the internal willingness structure for primary healthcare services. It enhances our understanding of the connotation of healthcare service utilization willingness and develops a scientifically rigorous measurement tool. The findings of this study provide valuable insights into improving both the willingness and behavior of utilizing primary care services in healthcare systems where the hierarchical referral system still needs to be fully developed.