Evidence map›Paper›PMID 40273447›Full record

ArticleJournal of medical Internet research2025

Family Caregiver Perspectives on Digital Methods to Measure Stress: Qualitative Descriptive Study.

Louise Rose, Sian Saha, Emily Flowers, Chee Siang Ang, Alexander J Casson, Joan Condell, Faith Matcham, Tony Robinson, John Rooksby

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Louise RoseFaculty of Nursing Midwifery & Palliative Care, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1700-3972
Sian SahaFaculty of Nursing Midwifery & Palliative Care, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-3017-1583
Emily FlowersFaculty of Nursing Midwifery & Palliative Care, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6342-1740
Chee Siang AngSchool of Computing, Kent and Medway Medical School, University of Kent, Kent, United Kingdom.ORCID https://orcid.org/0000-0002-1109-9689
Alexander J CassonDepartment of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0003-1408-1190
Joan CondellFaculty Of Computing, Engineering & Built Environments, University of Ulster, Derry, United Kingdom.ORCID https://orcid.org/0000-0002-3517-2182
Faith MatchamSchool of Psychology, Sussex University, Sussex, United Kingdom.ORCID https://orcid.org/0000-0002-4055-904X
Tony RobinsonFaculty Of Computing, Engineering & Built Environments, University of Ulster, Derry, United Kingdom.ORCID https://orcid.org/0000-0003-0623-306X
John RooksbyDepartment of Computer and Information Sciences, Northumbria University, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0002-4719-4389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamily caregivers provide essential care in the home to millions of individuals around the globe annually. However, family caregiving results in considerable burden, financial hardship, stress, and psychological morbidity. Identifying and managing stress in caregivers is important as they have a dual role in managing their own health as well as that of the person they care for. If stress becomes overwhelming, a caregiver may no longer be able to perform this essential role. Digital methods of stress monitoring may be 1 strategy for identifying effective interventions to relieve caregiver burden and stress.

objectiveThis study aims to explore the perceived acceptability, challenges, and opportunities of using digital and biosensing technologies to measure caregiver stress.

methodsWe conducted a descriptive qualitative study using semistructured interviews with an interview guide structured to obtain qualitative data addressing our study aims. We used reflexive thematic analysis methods. We recruited adult family caregivers (aged 18 years and older) currently or previously caring for an adult in the home with significant health issues. Interview questions focused on stress monitoring more generally and on ecological momentary assessment, remote monitoring technologies such as smartwatches, and fluid biosensors.

resultsWe recruited 27 family caregivers of whom 19 (70%) were currently in a caregiving role, and the remainder were previously in a caregiving role. We identified 3 themes with 10 subthemes addressing elements of acceptability, challenges, and opportunities of using digital and biosensing technologies to measure caregiver stress The themes comprised "providing meaningful data" with subthemes of "monitoring without action is pointless," "monitoring that enables self-management," and "seeing the bigger picture"; "low-burden monitoring" with subthemes of "low effort," "practical alongside daily routines," and "retaining control over monitoring"; and "inadvertent harms of stress monitoring" with subthemes of "stigma of stress," "need for discretion," "contributing to stress," and "trust."

conclusionsIn this descriptive qualitative study examining the perspectives of a diverse sample of family caregivers on methods of stress monitoring, we identified 3 themes addressing elements of acceptability, challenges, and opportunities. These provide useful considerations for the use of stress monitoring and implementation of interventions to ameliorate family caregivers' stress of relevance to social care and community teams, researchers, and policy makers. These include providing meaningful situationally specific data resulting in action, that does not contribute to caregiver burden, or inadvertent harm to either the caregiver or the care recipient.

Indexed as

CaregiversFamilyStress, PsychologicalAdultAgedFemaleHumansInterviews as TopicMaleMiddle AgedQualitative Researchbiosensing technologiescaregiver burdendescriptive studydigital healthdigital stress monitoringdigital technologiesecological momentary assessmentfamily caregiversfluid biosensorsframework approachpsychological stressqualitative researchqualitative studyremote monitoringsemistructured interviewsmartwatcheswearables

Identifiers

PMID40273447
PMCPMC12062762

What OpenQuestion holds

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LicenceCC BY
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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.