Introduction: Older adults may experience challenges during the hospital to home transitions that could be mitigated by digital health solutions. However, to promote adoption in practice and realise benefits, there is a need to specify how digital health solutions contribute to hospital to home transitions, particularly pertinent in this era of social distancing. This rapid review will: (1) elucidate the various roles and functions that have been developed to support hospital to home transitions of care, (2) identify existing digital health solutions that support hospital to home transitions of care, (3) identify gaps and new opportunities where digital health solutions can support these roles and functions and (4) create recommendations that will inform the design and structure of future digital health interventions that support hospital to home transitions for older adults (eg, the pre-trial results of the Digital Bridge intervention; ClinicalTrials.gov Identifier: NCT04287192).
Methods And Analysis: A two-phase rapid review will be conducted to meet identified aims. In phase 1, a selective literature review will be used to generate a conceptual map of the roles and functions of individuals that support hospital to home transitions for older adults. In phase 2, a search on MEDLINE, EMBASE and CINAHL will identify literature on digital health solutions that support hospital to home transitions. The ways in which digital health solutions can support the roles and functions that facilitate these transitions will then be mapped in the analysis and generation of findings.
Ethics And Dissemination: This protocol is a review of the literature and does not involve human subjects, and therefore, does not require ethics approval. This review will permit the identification of gaps and new opportunities for digital processes and platforms that enable care transitions and can help inform the design and implementation of future digital health interventions. Review findings will be disseminated through publications and presentations to key stakeholders.
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http://dx.doi.org/10.1136/bmjopen-2020-045596 | DOI Listing |
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Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
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View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, United States.
Background: Digital gaming has become increasingly popular among older adults, potentially offering cognitive, social, and physical benefits. However, its broader impact on health and well-being, particularly in real-world settings, remains unclear.
Objective: This study aimed to evaluate the multidimensional effects of digital gaming on health and well-being among older adults, using data from the Japan Gerontological Evaluation Study conducted in Matsudo City, Chiba, Japan.
JMIR Ment Health
January 2025
Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, United States.
Background: Evidence-based digital therapeutics represent a new treatment modality in mental health, potentially providing cost-efficient, accessible means of augmenting existing treatments for chronic mental illnesses. CT-155/BI 3972080 is a prescription digital therapeutic under development as an adjunct to standard of care treatments for patients 18 years of age and older with experiential negative symptoms (ENS) of schizophrenia. Individual components of CT-155/BI 3972080 are designed based on the underlying principles of face-to-face treatment.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Insomnia is a prevalent sleep disorder affecting millions worldwide, with significant impacts on daily functioning and quality of life. While traditionally assessed through subjective measures such as the Insomnia Severity Index (ISI), the advent of wearable technology has enabled continuous, objective sleep monitoring in natural environments. However, the relationship between subjective insomnia severity and objective sleep parameters remains unclear.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States.
Artificial intelligence-enabled ambient digital scribes may have many potential benefits, yet results from our study indicate that there are errors that must be evaluated to mitigate safety risks.
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