Evidence map›Paper›PMID 42839204›Full record

ArticleEuropean geriatric medicine2026

Usability and feasibility of a wearable sensor-based monitoring system providing feedback on sedentary behaviour during inpatient and home-based geriatric rehabilitation.

Suzanne M Debeij, Miriam L Haaksma, Margot W M de Waal, Jolanda C M van Haastregt, Margriet C Pol, Marise J Kasteleyn, Eléonore F van Dam van Isselt

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Article in European geriatric medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Suzanne M DebeijDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands. s.m.debeij@lumc.nl.ORCID http://orcid.org/0000-0002-4243-5075
Miriam L HaaksmaDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Margot W M de WaalDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Jolanda C M van HaastregtDepartment of Health Services Research, Faculty of Health Medicine and Life Sciences, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Margriet C PolDepartment of Medicine for Older People, Amsterdam University Medical Center, Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Marise J KasteleynDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
Eléonore F van Dam van IsseltDepartment of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-5584-6295

Funding

ZonMw 10020032210004
6 · The paper itself

Abstract

objectiveThis study explored the usability and feasibility of a sensor-based monitoring system that provides feedback on sedentary behaviour during inpatient and home-based geriatric rehabilitation from the perspectives of patients and healthcare professionals.

methodsThis mixed-methods study, which is part of the Better@Home study, included a focus group with care professionals, patient surveys, and collection of activity data (e.g. sedentary time and bout duration) via a wearable sensor monitoring system. Usability was assessed qualitatively, while feasibility was assessed using both qualitative data and quantitative adherence to the monitoring system. Focus group data were analysed using the framework method; other data were analysed descriptively.

resultsTwenty-six patients and nine care professionals participated. Usability was perceived as limited due to challenges on both the technology (e.g. measurement accuracy) and implementation level (e.g. tailored use and added value), which impeded integration into existing workflows. Feasibility was deemed sufficient since adherence levels were high.

conclusionsFrom the perspectives of patients and healthcare professionals, a sensor-based monitoring system that provides feedback on sedentary behaviour showed sufficient feasibility and limited usability. To facilitate the integration into existing workflows, measurement accuracy should be improved, and implementation should focus on tailored use that offers a clear added value, in line with patient goals.

Indexed as

Digital health technologieseHealthElderlyFeedbackPost-acute careWearable

Identifiers

PMID42839204

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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.