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JMIR aging

Showing results (231-240 of 749) with videos related to

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JMIR Aging|November 5, 2021
Clinicians and Older Adults' Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods StudyBen Kim, Peyman Ghasemi, Paul Stolee, et al.
JMIR Aging|November 22, 2021
Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods InvestigationJing Pan, Hua Dong, Nick Bryan-Kinns
JMIR Aging|October 17, 2022
Mobile App Prototype in Older Adults for Postfracture Acute Pain Management: User-Centered Design ApproachKevin Tran-Nguyen, Caroline Berger, Roxanne Bennett, et al.
JMIR Aging|October 24, 2022
Effectiveness of Technology Interventions in Addressing Social Isolation, Connectedness, and Loneliness in Older Adults: Systematic Umbrella ReviewEric Balki, Niall Hayes, Carol Holland
JMIR Aging|September 14, 2022
Correction: A Web-Based Platform (CareVirtue) to Support Caregivers of People Living With Alzheimer Disease and Related Dementias: Mixed Methods Feasibility StudyJustin J Boutilier, Priya Loganathar, Anna Linden, et al.
JMIR Aging|October 4, 2021
Evaluation of Family Caregivers' Use of Their Adult Care Recipient's Patient Portal From the 2019 Health Information National Trends Survey: Secondary AnalysisMinakshi Raj, Bradley Iott
JMIR Aging|February 2, 2022
Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions Among Low-Income Older Chinese Immigrants With Type 2 Diabetes: Cross-sectional Survey StudyLu Hu, Chau Trinh-Shevrin, Nadia Islam, et al.
JMIR Aging|January 24, 2022
Investigation of Carers' Perspectives of Dementia Misconceptions on Twitter: Focus Group StudyGeorgie Hudson, Sonja M Jansli, Sinan Erturk, et al.
JMIR Aging|April 22, 2022
Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional StudyVaisakh Puthusseryppady, Sol Morrissey, Min Hane Aung, et al.
JMIR Aging|April 1, 2022
Predicting Falls in Long-term Care Facilities: Machine Learning StudyRahul Thapa, Anurag Garikipati, Sepideh Shokouhi, et al.
Pageof 75

Showing results (231-240 of 749) with videos related to

Sort By:
Pageof 75
JMIR Aging|November 5, 2021
Clinicians and Older Adults' Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods StudyBen Kim, Peyman Ghasemi, Paul Stolee, et al.
JMIR Aging|November 22, 2021
Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods InvestigationJing Pan, Hua Dong, Nick Bryan-Kinns
JMIR Aging|October 17, 2022
Mobile App Prototype in Older Adults for Postfracture Acute Pain Management: User-Centered Design ApproachKevin Tran-Nguyen, Caroline Berger, Roxanne Bennett, et al.
JMIR Aging|October 24, 2022
Effectiveness of Technology Interventions in Addressing Social Isolation, Connectedness, and Loneliness in Older Adults: Systematic Umbrella ReviewEric Balki, Niall Hayes, Carol Holland
JMIR Aging|September 14, 2022
Correction: A Web-Based Platform (CareVirtue) to Support Caregivers of People Living With Alzheimer Disease and Related Dementias: Mixed Methods Feasibility StudyJustin J Boutilier, Priya Loganathar, Anna Linden, et al.
JMIR Aging|October 4, 2021
Evaluation of Family Caregivers' Use of Their Adult Care Recipient's Patient Portal From the 2019 Health Information National Trends Survey: Secondary AnalysisMinakshi Raj, Bradley Iott
JMIR Aging|February 2, 2022
Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions Among Low-Income Older Chinese Immigrants With Type 2 Diabetes: Cross-sectional Survey StudyLu Hu, Chau Trinh-Shevrin, Nadia Islam, et al.
JMIR Aging|January 24, 2022
Investigation of Carers' Perspectives of Dementia Misconceptions on Twitter: Focus Group StudyGeorgie Hudson, Sonja M Jansli, Sinan Erturk, et al.
JMIR Aging|April 22, 2022
Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional StudyVaisakh Puthusseryppady, Sol Morrissey, Min Hane Aung, et al.
JMIR Aging|April 1, 2022
Predicting Falls in Long-term Care Facilities: Machine Learning StudyRahul Thapa, Anurag Garikipati, Sepideh Shokouhi, et al.
Pageof 75