Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study

BackgroundOlder adults with cognitive deficits face difficulties in recalling daily challenges and lack self-awareness, impeding home care clinicians from obtaining reliable information on functional decline and home care needs and possibly resulting in suboptimal service del...

Full description

Saved in:
Bibliographic Details
Main Authors: Renée-Pier Filiou, Mélanie Couture, Maxime Lussier, Aline Aboujaoudé, Guy Paré, Sylvain Giroux, Hubert Kenfack Ngankam, Patricia Belchior, Carolina Bottari, Kevin Bouchard, Sébastien Gaboury, Charles Gouin-Vallerand, Faustin Armel Etindele Sosso, Nathalie Bier
Format: Article
Language:English
Published: JMIR Publications 2025-04-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2025/1/e64713
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849714537598550016
author Renée-Pier Filiou
Mélanie Couture
Maxime Lussier
Aline Aboujaoudé
Guy Paré
Sylvain Giroux
Hubert Kenfack Ngankam
Patricia Belchior
Carolina Bottari
Kevin Bouchard
Sébastien Gaboury
Charles Gouin-Vallerand
Faustin Armel Etindele Sosso
Nathalie Bier
author_facet Renée-Pier Filiou
Mélanie Couture
Maxime Lussier
Aline Aboujaoudé
Guy Paré
Sylvain Giroux
Hubert Kenfack Ngankam
Patricia Belchior
Carolina Bottari
Kevin Bouchard
Sébastien Gaboury
Charles Gouin-Vallerand
Faustin Armel Etindele Sosso
Nathalie Bier
author_sort Renée-Pier Filiou
collection DOAJ
description BackgroundOlder adults with cognitive deficits face difficulties in recalling daily challenges and lack self-awareness, impeding home care clinicians from obtaining reliable information on functional decline and home care needs and possibly resulting in suboptimal service delivery. Activity of daily living (ADL) telemonitoring has emerged as a tool to optimize evaluation of ADL home care needs. Using ambient sensors, ADL telemonitoring gathers information about ADL behaviors such as preparing meals and sleeping. However, there is a significant gap in understanding on how ADL telemonitoring data can be integrated into clinical reasoning to better target home care services. ObjectiveThis paper aims to describe (1) how ADL telemonitoring data are used by clinicians to maintain care recipients with cognitive deficits at home and (2) the impact of ADL telemonitoring on home care service delivery. MethodsWe used an embedded mixed methods multiple-case study design to examine 3 health institutions located in the greater Montreal region in Quebec that offer public home care services. An ADL telemonitoring system—Innovative Easy Assistance System–Support for Older Adults’ Autonomy (Soutien à l’autonomie des personnes âgées in French)—was deployed within these 3 health institutions for 4 years. Subcases (care recipient, informal caregiver, and clinicians) were embedded within each case. For this paper, we used the data collected during interviews (45-60 min) with clinicians only. Quantitative metadata were also collected on each service provided to care recipients before and after the implementation of NEARS-SAPA to triangulate the qualitative data. ResultsWe analyzed 27 subcases comprising 29 clinicians who completed 57 postimplementation interviews concerning 147 telemonitoring reports. Data analysis showed a 4-step decision-making process used by clinicians: (1) extraction of relevant telemonitoring data, (2) comparison of telemonitoring data with other sources of information, (3) risk assessment of the care recipient’s ADL performance and ability to remain at home, and (4) maintenance or modification of the intervention plan. Quantitative data reporting the number of services received allowed the triangulation of qualitative data pertaining to step 4. Overall, the results suggest a stabilization in monthly services after the introduction of the ADL telemonitoring system, particularly in cases where the number of services were increasing before its implementation. This is consistent with qualitative data indicating that, in light of the telemonitoring data, most clinicians decided to maintain the current intervention plan rather than increase or reduce services. ConclusionsResults suggest that ADL telemonitoring contributed to service optimization on a case-by-case basis. ADL telemonitoring may have an important role in reassuring clinicians about their risk management and the appropriateness of service delivery, especially when questions remain regarding the relevance of services. Future studies may further explore the benefits of ADL telemonitoring for public health care systems with larger-scale implementation studies. International Registered Report Identifier (IRRID)RR2-10.2196/52284
format Article
id doaj-art-7a324d5b803e4b5cb0e7d1a7ab67a9e1
institution DOAJ
issn 1438-8871
language English
publishDate 2025-04-01
publisher JMIR Publications
record_format Article
series Journal of Medical Internet Research
spelling doaj-art-7a324d5b803e4b5cb0e7d1a7ab67a9e12025-08-20T03:13:40ZengJMIR PublicationsJournal of Medical Internet Research1438-88712025-04-0127e6471310.2196/64713Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case StudyRenée-Pier Filiouhttps://orcid.org/0009-0003-5756-2194Mélanie Couturehttps://orcid.org/0000-0002-0088-3865Maxime Lussierhttps://orcid.org/0000-0003-2753-1189Aline Aboujaoudéhttps://orcid.org/0000-0001-6142-3611Guy Paréhttps://orcid.org/0000-0001-7425-1994Sylvain Girouxhttps://orcid.org/0000-0003-0602-5957Hubert Kenfack Ngankamhttps://orcid.org/0000-0002-7658-5303Patricia Belchiorhttps://orcid.org/0000-0003-0168-1517Carolina Bottarihttps://orcid.org/0000-0003-2242-8369Kevin Bouchardhttps://orcid.org/0000-0002-5227-6602Sébastien Gabouryhttps://orcid.org/0000-0001-7749-3470Charles Gouin-Vallerandhttps://orcid.org/0000-0002-5811-2932Faustin Armel Etindele Sossohttps://orcid.org/0000-0002-1977-0991Nathalie Bierhttps://orcid.org/0000-0002-2940-694X BackgroundOlder adults with cognitive deficits face difficulties in recalling daily challenges and lack self-awareness, impeding home care clinicians from obtaining reliable information on functional decline and home care needs and possibly resulting in suboptimal service delivery. Activity of daily living (ADL) telemonitoring has emerged as a tool to optimize evaluation of ADL home care needs. Using ambient sensors, ADL telemonitoring gathers information about ADL behaviors such as preparing meals and sleeping. However, there is a significant gap in understanding on how ADL telemonitoring data can be integrated into clinical reasoning to better target home care services. ObjectiveThis paper aims to describe (1) how ADL telemonitoring data are used by clinicians to maintain care recipients with cognitive deficits at home and (2) the impact of ADL telemonitoring on home care service delivery. MethodsWe used an embedded mixed methods multiple-case study design to examine 3 health institutions located in the greater Montreal region in Quebec that offer public home care services. An ADL telemonitoring system—Innovative Easy Assistance System–Support for Older Adults’ Autonomy (Soutien à l’autonomie des personnes âgées in French)—was deployed within these 3 health institutions for 4 years. Subcases (care recipient, informal caregiver, and clinicians) were embedded within each case. For this paper, we used the data collected during interviews (45-60 min) with clinicians only. Quantitative metadata were also collected on each service provided to care recipients before and after the implementation of NEARS-SAPA to triangulate the qualitative data. ResultsWe analyzed 27 subcases comprising 29 clinicians who completed 57 postimplementation interviews concerning 147 telemonitoring reports. Data analysis showed a 4-step decision-making process used by clinicians: (1) extraction of relevant telemonitoring data, (2) comparison of telemonitoring data with other sources of information, (3) risk assessment of the care recipient’s ADL performance and ability to remain at home, and (4) maintenance or modification of the intervention plan. Quantitative data reporting the number of services received allowed the triangulation of qualitative data pertaining to step 4. Overall, the results suggest a stabilization in monthly services after the introduction of the ADL telemonitoring system, particularly in cases where the number of services were increasing before its implementation. This is consistent with qualitative data indicating that, in light of the telemonitoring data, most clinicians decided to maintain the current intervention plan rather than increase or reduce services. ConclusionsResults suggest that ADL telemonitoring contributed to service optimization on a case-by-case basis. ADL telemonitoring may have an important role in reassuring clinicians about their risk management and the appropriateness of service delivery, especially when questions remain regarding the relevance of services. Future studies may further explore the benefits of ADL telemonitoring for public health care systems with larger-scale implementation studies. International Registered Report Identifier (IRRID)RR2-10.2196/52284https://www.jmir.org/2025/1/e64713
spellingShingle Renée-Pier Filiou
Mélanie Couture
Maxime Lussier
Aline Aboujaoudé
Guy Paré
Sylvain Giroux
Hubert Kenfack Ngankam
Patricia Belchior
Carolina Bottari
Kevin Bouchard
Sébastien Gaboury
Charles Gouin-Vallerand
Faustin Armel Etindele Sosso
Nathalie Bier
Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
Journal of Medical Internet Research
title Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
title_full Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
title_fullStr Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
title_full_unstemmed Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
title_short Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
title_sort decision making process of home and social care professionals using telemonitoring of activities of daily living for risk assessment embedded mixed methods multiple case study
url https://www.jmir.org/2025/1/e64713
work_keys_str_mv AT reneepierfiliou decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT melaniecouture decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT maximelussier decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT alineaboujaoude decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT guypare decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT sylvaingiroux decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT hubertkenfackngankam decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT patriciabelchior decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT carolinabottari decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT kevinbouchard decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT sebastiengaboury decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT charlesgouinvallerand decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT faustinarmeletindelesosso decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy
AT nathaliebier decisionmakingprocessofhomeandsocialcareprofessionalsusingtelemonitoringofactivitiesofdailylivingforriskassessmentembeddedmixedmethodsmultiplecasestudy