Caring Near and Far by Connecting Community-Based Clients and Family Member/Friend Caregivers Using Passive Remote Monitoring: Protocol for a Pragmatic Randomized Controlled Trial.

caregiver burden family caregiver friend caregiver home care older adults remote sensor

Journal

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

Informations de publication

Date de publication:
10 Jan 2020
Historique:
received: 13 06 2019
accepted: 28 09 2019
revised: 27 09 2019
entrez: 11 1 2020
pubmed: 11 1 2020
medline: 11 1 2020
Statut: epublish

Résumé

Significant chronic disease challenges exist among older adults. However, most older adults want to remain at home even if their health conditions challenge their ability to live independently. Yet publicly funded home care resources are scarce, private home care is expensive, and family/friend caregivers have limited capacity. Many older adults with chronic illness would require institutional care without the support from family member/friend caregivers. This role raises the risk of physical health problems, stress, burnout, and depression. Passive remote monitoring (RM), the use of sensors that do not require any action by the individual for the system to work, may increase the older adult's ability to live independently while also providing support and peace of mind to both the client and the family member/friend caregiver. This paper presents the protocol of a study conducted in two provinces in Canada to investigate the impact of RM along with usual home care (the intervention) versus usual home care alone (control) on older adults with complex care. The primary outcome for this study is the occurrence of and time to events such as trips to emergency, short-term admission to the hospital, terminal admission to the hospital awaiting admission to long-term care, and direct admission to long-term care. The secondary outcomes for this study are (1) health care costs, (2) client functional status and quality of life in the home, (3) family/friend caregiver stress, and (4) family/friend caregiver functional health status. The design for this study is an unblinded pragmatic randomized controlled trial (PRCT) with two parallel arms in two geographic strata (Ontario and Nova Scotia). Quantitative and qualitative methodologies will be used to address the study objectives. This PRCT is conceptually informed by the principles of client-centered care and viewing the family as the client and aims at providing supported self-management. This study is supported by the Canadian Institutes for Health Research. A primary completion date is anticipated in fall 2022. Findings from this real-world rigorous randomized trial will support Canadian decision-makers, providers, and clients and their caregivers in assessing the health, well-being, and economic benefits and the social and technological challenges of integrating RM technologies to support older adults to stay in their home, including evaluating the impact on the burden of care experienced by family/friend caregivers. With an aging population, this technology may reduce institutionalization and promote safe and independent living for the elderly as long as possible. International Standard Randomised Controlled Trial Number (ISRCTN) 79884651; http://www.isrctn.com/ISRCTN79884651. DERR1-10.2196/15027.

Sections du résumé

BACKGROUND BACKGROUND
Significant chronic disease challenges exist among older adults. However, most older adults want to remain at home even if their health conditions challenge their ability to live independently. Yet publicly funded home care resources are scarce, private home care is expensive, and family/friend caregivers have limited capacity. Many older adults with chronic illness would require institutional care without the support from family member/friend caregivers. This role raises the risk of physical health problems, stress, burnout, and depression. Passive remote monitoring (RM), the use of sensors that do not require any action by the individual for the system to work, may increase the older adult's ability to live independently while also providing support and peace of mind to both the client and the family member/friend caregiver.
OBJECTIVE OBJECTIVE
This paper presents the protocol of a study conducted in two provinces in Canada to investigate the impact of RM along with usual home care (the intervention) versus usual home care alone (control) on older adults with complex care. The primary outcome for this study is the occurrence of and time to events such as trips to emergency, short-term admission to the hospital, terminal admission to the hospital awaiting admission to long-term care, and direct admission to long-term care. The secondary outcomes for this study are (1) health care costs, (2) client functional status and quality of life in the home, (3) family/friend caregiver stress, and (4) family/friend caregiver functional health status.
METHODS METHODS
The design for this study is an unblinded pragmatic randomized controlled trial (PRCT) with two parallel arms in two geographic strata (Ontario and Nova Scotia). Quantitative and qualitative methodologies will be used to address the study objectives. This PRCT is conceptually informed by the principles of client-centered care and viewing the family as the client and aims at providing supported self-management.
RESULTS RESULTS
This study is supported by the Canadian Institutes for Health Research. A primary completion date is anticipated in fall 2022.
CONCLUSIONS CONCLUSIONS
Findings from this real-world rigorous randomized trial will support Canadian decision-makers, providers, and clients and their caregivers in assessing the health, well-being, and economic benefits and the social and technological challenges of integrating RM technologies to support older adults to stay in their home, including evaluating the impact on the burden of care experienced by family/friend caregivers. With an aging population, this technology may reduce institutionalization and promote safe and independent living for the elderly as long as possible.
TRIAL REGISTRATION BACKGROUND
International Standard Randomised Controlled Trial Number (ISRCTN) 79884651; http://www.isrctn.com/ISRCTN79884651.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/15027.

Identifiants

pubmed: 31922492
pii: v9i1e15027
doi: 10.2196/15027
pmc: PMC6996726
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e15027

Informations de copyright

©Lorie Donelle, Sandra Regan, Michael Kerr, Merrick Zwarenstein, Michael Bauer, Grace Warner, Wanrudee Isaranuwatchai, Aleksandra Zecevic, Elizabeth Borycki, Dorothy Forbes, Lori Weeks, Bev Leipert, Emily Read. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 10.01.2020.

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Auteurs

Lorie Donelle (L)

Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.

Sandra Regan (S)

Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.

Michael Kerr (M)

Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.

Merrick Zwarenstein (M)

Department of Family Medicine, Epidemiology and Biostatistics, Western University, London, ON, Canada.

Michael Bauer (M)

Department of Computer Science, Western University, London, ON, Canada.

Grace Warner (G)

School of Occupational Therapy, Dalhousie University, Halifax, NS, Canada.

Wanrudee Isaranuwatchai (W)

Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.

Aleksandra Zecevic (A)

School of Health Studies, Western University, London, ON, Canada.

Elizabeth Borycki (E)

School of Health Information Science, University of Victoria, Victoria, BC, Canada.

Dorothy Forbes (D)

Faculty of Nursing, University of Alberta, Edmonton, AB, Canada.

Lori Weeks (L)

School of Nursing, Dalhousie University, Halifax, NS, Canada.

Bev Leipert (B)

Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.

Emily Read (E)

Faculty of Nursing, University of New Brunswick, Fredericton, NB, Canada.

Classifications MeSH