National cross-sectional study on patterns and implications of using digital technologies to support mental health and wellbeing

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Background: Emerging health technologies and digital services offer effective ways to collect health information and collect patient-generated health data (PGHD), which provides a more holistic view of health and health quality. a patient’s life over time, increase visibility into a patient’s adherence to a treatment plan or study protocol, and enable rapid intervention before a costly episode of care. Objective: Through a cross-sectional national survey in the United States, we sought to describe and compare the characteristics of populations with and without mental health problems (depression or anxiety disorders), including physical health, sleep, and drug use. alcohol. We also examined patterns of social networking service use, PGHD, and attitudes toward sharing health information and activities among participants, which provided nationally representative estimates. Methods : We pulled data from the National Cancer Institute’s 2019 National Health Information Trends Survey. The participants were divided into 2 groups according to their state of mental health. Next, we described and compared characteristics of the social determinants of health, health status, sleep and alcohol consumption patterns, and patterns of use of social networking and data-sharing services. health information between the 2 groups. Multivariable logistic regression models were applied to assess predictors of mental health. All analyzes were weighted to provide nationally representative estimates. Results: Participants with mental health issues were significantly more likely to be younger, white, female, and low-income; have a history of chronic illnesses; and be less able to take care of their own health. Regarding behavioral health, they slept less than 6 hours on average, had poorer sleep quality and consumed more alcohol. Additionally, they were more likely to visit and share health information on social networking sites, write online journal blogs, participate in online forums or support groups, and watch health related videos. Conclusion : This study shows that people with mental health problems have inequitable social determinants of health, poor physical health and poor behavioral health. However, they are more likely to use social media platforms and services, share their health information, and actively engage with PGHD. Leveraging these digital technologies and services could be beneficial in developing appropriate and effective self-monitoring and self-management strategies.

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