Implementation, Feasibility, and Acceptability of MATCH to Prevent Iatrogenic Disability in Hospitalized Older Adults: A Question of Geriatric Care Program?

Author:

Peyrusqué Eva12,Kergoat Marie-Jeanne13,Sirois Marie-Josée45,Veillette Nathalie13,Fonseca Raquel16,Aubertin-Leheudre Mylène12ORCID

Affiliation:

1. Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Montreal, QC H3W 1W4, Canada

2. Département des Sciences de l’Activité Physique, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada

3. Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada

4. Département de Réadaptation, Université de Laval, Quebec, QC G1V 0A6, Canada

5. Centre d’Excellence sur le Vieillissement de Québec, Quebec, QC G1S 4L8, Canada

6. Département de Sciences Économique, École des Sciences de la Gestion, Université du Québec à Montréal, Montreal, QC H2X 1L4, Canada

Abstract

Senior adults (>age 65) represent almost 20% of the population but account for 48% of hospital bed occupancy. In older adults, hospitalization often results in functional decline (i.e., iatrogenic disability) and, consequently, the loss of autonomy. Physical activity (PA) has been shown to counteract these declines effectively. Nevertheless, PA is not implemented in standard clinical practice. We previously showed that MATCH, a pragmatic, specific, adapted, and unsupervised PA program, was feasible and acceptable in a geriatric assessment unit (GAU) and a COVID-19 geriatric unit. This feasibility study aims to confirm that this tool could be implemented in other geriatric care programs, notably a geriatric rehabilitation unit (GRU) and a post-acute care unit (PACU), in order to reach the maximum number of older patients. Eligibility and consent were assessed by the physician for all the patients admitted to the three units (GAU, GRU, and PACU). The rehabilitation therapist taught each participant one of the five PA programs based on their mobility score on the decisional tree. Implementation (eligibility (%): patients eligible/number admitted and delay of implementation: number of days until prescription); feasibility (adherence (%): number sessions completed/number sessions prescribed and walking time (%): total walking time/time prescribed time); and acceptability (healthcare team (%): tool adequacy (yes/no) and patient: System Usability Scale questionnaire (SUS: x/100)) were evaluated and analyzed using a Kruskal–Wallis ANOVA or Fisher’s exact test. Eligibility was different between the units (GRU = 32.5% vs. PACU = 26.6% vs. GAU = 56.0%; p < 0.001), but the time before implementation was similar (days: GRU = 5.91 vs. PACU = 5.88 vs. GAU = 4.78; p > 0.05). PA adherence (GRU = 83.5% vs. PACU = 71.9% vs. GAU = 74.3%) and walking time (100% in all units) were similar (p > 0.05). Patients (SUS: GRU = 74.6 vs. PACU = 77.2 vs. GAU = 77.2; p > 0.05) and clinicians (adequacy (yes; %): GRU = 78.3%; PACU = 76.0%; GAU = 72.2%; p > 0.05) found MATCH acceptable. Overall, MATCH was implementable, feasible, and acceptable in a GAU, GRU, and PACU. Randomized controlled trials are needed to confirm our results and evaluate the health benefits of MATCH compared with usual care.

Funder

MEDTEQ-FSISS

CAREC-CRIUGM

Fonds de Recherche du Québec–Santé

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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