Existing eHealth Solutions for Older Adults Living With Neurocognitive Disorders (Mild and Major) or Dementia and Their Informal Caregivers: Protocol for an Environmental Scan.

dementia digital health eHealth solutions environmental scan mild cognitive impairment (MCI)

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
04 Nov 2022
Historique:
received: 01 08 2022
accepted: 30 08 2022
revised: 29 08 2022
entrez: 4 11 2022
pubmed: 5 11 2022
medline: 5 11 2022
Statut: epublish

Résumé

Dementia is one of the main public health priorities for current and future societies worldwide. Over the past years, eHealth solutions have added numerous promising solutions to enhance the health and wellness of people living with dementia-related cognitive problems and their primary caregivers. Previous studies have shown that an environmental scan identifies the knowledge-to-action gap meaningfully. This paper presents the protocol of an environmental scan to monitor the currently available eHealth solutions targeting dementia and other neurocognitive disorders against selected attributes. This study aims to identify the characteristics of currently available eHealth solutions recommended for older adults with cognitive problems and their informal caregivers. To inform the recommendations regarding eHealth solutions for these people, it is important to obtain a comprehensive view of currently available technologies and document their outcomes and conditions of success. We will perform an environmental scan of available eHealth solutions for older adults with cognitive impairment or dementia and their informal caregivers. Potential solutions will be initially identified from a previous systematic review. We will also conduct targeted searches for gray literature on Google and specialized websites covering the regions of Canada and Europe. Technological tools will be scanned based on a preformatted extraction grid. The relevance and efficiency based on the selected attributes will be assessed. We will prioritize relevant solutions based on the needs and preferences identified from a qualitative study among older adults with cognitive impairment or dementia and their informal caregivers. This environmental scan will identify eHealth solutions that are currently available and scientifically appraised for older adults with cognitive impairment or dementia and their informal caregivers. This knowledge will inform the development of a decision support tool to assist older adults and their informal caregivers in their search for adequate eHealth solutions according to their needs and preferences based on trustable information. DERR1-10.2196/41015.

Sections du résumé

BACKGROUND BACKGROUND
Dementia is one of the main public health priorities for current and future societies worldwide. Over the past years, eHealth solutions have added numerous promising solutions to enhance the health and wellness of people living with dementia-related cognitive problems and their primary caregivers. Previous studies have shown that an environmental scan identifies the knowledge-to-action gap meaningfully. This paper presents the protocol of an environmental scan to monitor the currently available eHealth solutions targeting dementia and other neurocognitive disorders against selected attributes.
OBJECTIVE OBJECTIVE
This study aims to identify the characteristics of currently available eHealth solutions recommended for older adults with cognitive problems and their informal caregivers. To inform the recommendations regarding eHealth solutions for these people, it is important to obtain a comprehensive view of currently available technologies and document their outcomes and conditions of success.
METHODS METHODS
We will perform an environmental scan of available eHealth solutions for older adults with cognitive impairment or dementia and their informal caregivers. Potential solutions will be initially identified from a previous systematic review. We will also conduct targeted searches for gray literature on Google and specialized websites covering the regions of Canada and Europe. Technological tools will be scanned based on a preformatted extraction grid. The relevance and efficiency based on the selected attributes will be assessed.
RESULTS RESULTS
We will prioritize relevant solutions based on the needs and preferences identified from a qualitative study among older adults with cognitive impairment or dementia and their informal caregivers.
CONCLUSIONS CONCLUSIONS
This environmental scan will identify eHealth solutions that are currently available and scientifically appraised for older adults with cognitive impairment or dementia and their informal caregivers. This knowledge will inform the development of a decision support tool to assist older adults and their informal caregivers in their search for adequate eHealth solutions according to their needs and preferences based on trustable information.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/41015.

Identifiants

pubmed: 36331531
pii: v11i11e41015
doi: 10.2196/41015
pmc: PMC9675011
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e41015

Informations de copyright

©Ambily Jose, Maxime Sasseville, Samantha Dequanter, Ellen Gorus, Anik Giguère, Anne Bourbonnais, Samira Abbasgholizadeh Rahimi, Ronald Buyl, Marie-Pierre Gagnon. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 04.11.2022.

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Auteurs

Ambily Jose (A)

Department of Family and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec City, QC, Canada.

Maxime Sasseville (M)

Faculty of Nursing Sciences, Universite Laval, Quebec City, QC, Canada.
Vitam-Research Center in Sustainable Health, Centre Intégré de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, QC, Canada.

Samantha Dequanter (S)

Department of Biostatistics and Medical Informatics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussels, Brussels, Belgium.

Ellen Gorus (E)

Frailty in Ageing Research Group, Department of Gerontology, Vrije Universiteit Brussel, Brussels, Belgium.
Geriatrics Department, Universitair Ziekenhuis Brussel, Brussels, Belgium.

Anik Giguère (A)

Department of Family and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec City, QC, Canada.
Vitam-Research Center in Sustainable Health, Centre Intégré de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, QC, Canada.

Anne Bourbonnais (A)

Faculty of Nursing, Université de Montréal, Montreal, QC, Canada.

Samira Abbasgholizadeh Rahimi (S)

Department of Family Medicine, McGill University, Montreal, QC, Canada.
Mila-Quebec AI Institute, Montreal, QC, Canada.

Ronald Buyl (R)

Department of Biostatistics and Medical Informatics, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussels, Brussels, Belgium.

Marie-Pierre Gagnon (MP)

Faculty of Nursing Sciences, Universite Laval, Quebec City, QC, Canada.
Vitam-Research Center in Sustainable Health, Centre Intégré de Santé et de Services Sociaux de la Capitale-Nationale, Quebec, QC, Canada.

Classifications MeSH