Factors associated with eHealth use among community dwelling older adults

Exploring online health information seeking and sharing among older adults: a mini-review about acceptance, potentials, and barriers

Online health information seeking (OHIS) is understood by health care, health promotion, and disease prevention experts as a resource for healthy aging. It is particularly relevant for older adults since this population can benefit significantly from the accessibility and convenience of online health platforms and health information. Nevertheless, empirical findings regarding the acceptance, potentials, and barriers of OHIS among older adults are limited. This mini-review aims to explore the level of acceptance of OHIS, including passive reading of information and active interactions with peers, among the older population. Furthermore, it examines the potentials and barriers associated with such practices. The findings ultimately emphasize the evolving landscape of internet health information exploration among older adults and the potential advantages and challenges that may arise, especially in the context of active interactions with peers.

Digital Health Technology Use Among Older Adults: Exploring the Impact of Frailty on Utilization, Purpose, and Satisfaction in Korea

BACKGROUND

The importance of digital technology is increasing among older adults. In this study, the digital health technology utilization status, purpose, and satisfaction of older adults were investigated according to frailty.

METHODS

A face-to-face survey was conducted among adults aged 65 years or older. Frailty was defined using the Korean version of the fatigue, resistance, ambulation, illnesses, and loss of weight scale.

RESULTS

A total of 505 participants completed the survey, with 153 (30.3%) identified as pre-frail or frail and 352 (69.7%) as healthy. All respondents used smartphones; 440 (87.1%) were application users, and 290 (57.4%) were healthcare application users. Wearable devices were used by only 36 patients (7.1%). Pre-frail or frail respondents used social media more frequently than healthy respondents (19.4% vs. 7.4%, P < 0.001). Among the respondents, 319 (63.2%) were not able to install or delete the application themselves, and 277 (54.9%) stated that the application was recommended by their children (or partner). Pre-frail and frail respondents used more healthcare applications to obtain health information (P = 0.002) and were less satisfied with wearable devices (P = 0.02).

CONCLUSION

The usage rate of digital devices, including mobile phones among older adults in Korea is high, whereas that of wearable devices is low. There was a notable difference in the services used by pre-frail and frail respondents compared to healthy respondents. Therefore, when developing digital devices for pre-frail and frail older adults, it is crucial to incorporate customized services that meet their unique needs, particularly those services that they frequently use.

Factors associated with the perceptions of eHealth technology of Chinese nurses and nursing students

AIM

The current study sought to assess the perceptions of eHealth technology of nurses and nursing students in China and to examine the association between these perceptions and demographic factors.

BACKGROUND

Despite the increasing use of eHealth technologies in China and across the globe, the perceptions of practicing and student nurses remain minimally explored. Findings from such an inquiry can potentially inform actions and policies to improve the uptake of eHealth technologies among Chinese nurses.

DESIGN

This was a cross-sectional study with a real-time online survey.

METHODS

A convenience sample of 1338 nurses and nursing students from Mainland China participated in the study. Their perceptions of eHealth technology were collected using the Chinese version of the Perceptions of eHealth Technology Scale. The Kruskal-Wallis test and multiple linear regression analysis were used to examine the relationship between demographic variables (age group, gender, occupation, education level, position and clinical experience) and perceptions of eHealth technology. All study procedures adhered to the STROBE guidelines.

RESULTS

Most participants were aged between 20 and 29 (55.8%). Nearly half (42.5%) were frontline clinical nursing staff, some were nursing students (36.2%), academic nursing staff (12.3%) and clinical nursing management staff (9.0%). Regardless of the differences in their demographic characteristics, the participants had higher mean scores in "Perception of eHealth applications" and lower mean scores in "Knowledge of eHealth technology". Participants with doctoral degree had a higher mean total score and higher sub-scale scores in knowledge of eHealth technology, perception of the advantages of eHealth technology and perception of eHealth applications; and the lowest scores in perception of the disadvantages of eHealth technology and perception of eHealth applications. Occupation, position and clinical experience were found to be the demographic characteristics associated with eHealth perceptions, before adjusting for age and gender. Education level was associated with eHealth perceptions regardless of adjustment.

CONCLUSION

Overall, participants had higher scores on perceptions of eHealth applications but lower scores on knowledge of eHealth technology. Considering the association between education and all subscales and overall scores, it may be essential to implement continuing professional education for nurses to improve their knowledge of eHealth applications. Encouragement to use available eHealth digital technologies may also be helpful to improve perceptions of eHealth.