Evidence map›Paper›PMID 38422499›Full record

ArticleJMIR research protocols2024

Codevelopment and Deployment of a System for the Telemonitoring of Activities of Daily Living Among Older Adults Receiving Home Care Services: Protocol for an Action Design Research Study.

Maxime Lussier, Mélanie Couture, Sylvain Giroux, Aline Aboujaoudé, Hubert Kenfack Ngankam, Hélène Pigot, Sébastien Gaboury, Kevin Bouchard, Carolina Bottari, Patricia Belchior and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
12.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Maxime Lussier *Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-2753-1189
Mélanie Couture *Centre for Research and Expertise in Social Gerontology, Integrated Health and Social Services University Network for West-Central Montreal, Côte- Saint-Luc, QC, Canada.ORCID https://orcid.org/0000-0002-0088-3865
Sylvain Giroux *Computer Science Department, Faculty of Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0003-0602-5957
Aline Aboujaoudé *Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-6142-3611
Hubert Kenfack Ngankam *Computer Science Department, Faculty of Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0002-7658-5303
Hélène Pigot *Computer Science Department, Faculty of Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0001-5520-5677
Sébastien Gaboury *Department of Mathematics and Computer Science, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada.ORCID https://orcid.org/0000-0001-7749-3470
Kevin Bouchard *Department of Mathematics and Computer Science, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada.ORCID https://orcid.org/0000-0002-5227-6602
Carolina Bottari *École de réadaptation, Faculté de médecine, Université de Montréal, Montréal, QC, Canada.ORCID https://orcid.org/0000-0003-2242-8369
Patricia Belchior *Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-0168-1517
Guy Paré *Research Chair in Digital Health, HEC Montréal, Montréal, QC, Canada.ORCID https://orcid.org/0000-0001-7425-1994
Nathalie Bier *Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-2940-694X
Institut Universitaire de Gériatrie de Montréal · CAUniversité de Sherbrooke · CAUniversité du Québec à Chicoutimi · CAHEC Montréal · CAUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemonitoring of activities of daily living (ADLs) offers significant potential for gaining a deeper insight into the home care needs of older adults experiencing cognitive decline, particularly those living alone. In 2016, our team and a health care institution in Montreal, Quebec, Canada, sought to test this technology to enhance the support provided by home care clinical teams for older adults residing alone and facing cognitive deficits. The Support for Seniors' Autonomy program (SAPA [Soutien à l'autonomie des personnes âgées]) project was initiated within this context, embracing an innovative research approach that combines action research and design science.

objectiveThis paper presents the research protocol for the SAPA project, with the aim of facilitating the replication of similar initiatives in the future. The primary objectives of the SAPA project were to (1) codevelop an ADL telemonitoring system aligned with the requirements of key stakeholders, (2) deploy the system in a real clinical environment to identify specific use cases, and (3) identify factors conducive to its sustained use in a real-world setting. Given the context of the SAPA project, the adoption of an action design research (ADR) approach was deemed crucial. ADR is a framework for crafting practical solutions to intricate problems encountered in a specific organizational context.

methodsThis project consisted of 2 cycles of development (alpha and beta) that involved cyclical repetitions of stages 2 and 3 to develop a telemonitoring system for ADLs. Stakeholders, such as health care managers, clinicians, older adults, and their families, were included in each codevelopment cycle. Qualitative and quantitative data were collected throughout this project.

resultsThe first iterative cycle, the alpha cycle, took place from early 2016 to mid 2018. The first prototype of an ADL telemonitoring system was deployed in the homes of 4 individuals receiving home care services through a public health institution. The prototype was used to collect data about care recipients' ADL routines. Clinicians used the data to support their home care intervention plan, and the results are presented here. The prototype was successfully deployed and perceived as useful, although obstacles were encountered. Similarly, a second codevelopment cycle (beta cycle) took place in 3 public health institutions from late 2018 to late 2022. The telemonitoring system was installed in 31 care recipients' homes, and detailed results will be presented in future papers.

conclusionsTo our knowledge, this is the first reported ADR project in ADL telemonitoring research that includes 2 iterative cycles of codevelopment and deployment embedded in the real-world clinical settings of a public health system. We discuss the artifacts, generalization of learning, and dissemination generated by this protocol in the hope of providing a concrete and replicable example of research partnerships in the field of digital health in cognitive aging. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/52284.

Indexed as

action design researchactivities of daily livingcognitive deficitshome care servicesolder adultsprotocolpublic health care systemtelemonitoring

Identifiers

PMID38422499
PMCPMC10940984
OpenAlexW4391184411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.