Evidence map›Paper›PMID 39832361›Full record

ArticleJMIR formative research2025

Development of an eHealth Intervention Including Self-Management for Reducing Sedentary Time in the Transition to Retirement: Participatory Design Study.

Lisa Hultman, Caroline Eklund, Petra von Heideken Wågert, Anne Söderlund, Maria Lindén, Magnus L Elfström

Abstract read
In one paragraph

Article in JMIR formative research, 2025. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Lisa HultmanDivision of Physiotherapy, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.ORCID 0000-0002-7392-5245
Caroline EklundDivision of Physiotherapy, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.ORCID 0000-0002-9890-8249
Petra von Heideken WågertDivision of Physiotherapy, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.ORCID 0000-0001-6292-7010
Anne SöderlundDivision of Physiotherapy, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.ORCID 0000-0002-4537-030X
Maria LindénDivision of Intelligent Future Technologies, School of Innovation, Design and Engineering, Mälardalen University, Västerås/Eskilstuna, Sweden.ORCID 0000-0003-1940-1747
Magnus L ElfströmDivision of Psychology, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.ORCID 0000-0002-5098-8489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaving a great amount of sedentary time is common among older adults and increases with age. There is a strong need for tools to reduce sedentary time and promote adherence to reduced sedentary time, for which eHealth interventions have the potential to be useful. Interventions for reducing sedentary time in older adults have been found to be more effective when elements of self-management are included. When creating new eHealth interventions, accessibility and effectiveness can be increased by including end users as co-designers in the development process.

objectiveThe aim was to explore the desired features of an eHealth intervention including self-management for reducing sedentary time and promoting adherence to reduced sedentary time in older adults transitioning from working life to retirement. Further, the aim was to develop a digital prototype of such an eHealth intervention.

methodsThe study used the participatory design approach to include end users, researchers, and a web designer as equal partners. Three workshops were conducted with 6 older adults transitioning to retirement, 2 researchers, and 1 web designer. Thematic analysis was used to analyze the data from the workshops.

resultsParticipants expressed a desire for an easy-to-use eHealth intervention, which could be accessed from mobile phones, tablets, and computers, and could be individualized to the user. The most important features for reducing sedentary time were those involving finding joyful activities, setting goals, and getting information regarding reduced sedentary time. Participants expressed that the eHealth intervention would need to first provide the user with knowledge regarding sedentary time, then offer features for measuring sedentary time and for setting goals, and lastly provide support in finding joyful activities to perform in order to avoid being sedentary. According to the participants, an eHealth intervention including self-management for reducing sedentary time in older adults in the transition to retirement should be concise, accessible, and enjoyable. A digital prototype of such an eHealth intervention was developed.

conclusionsThe developed eHealth intervention including self-management for reducing sedentary time in older adults transitioning to retirement is intended to facilitate behavior change by encouraging the user to participate in autonomously motivated activities. It uses several behavior change techniques, such as goal setting and action planning through mental contrasting and implementation intention, as well as shaping knowledge. Its active components for reducing sedentary time can be explained using the integrated behavior change model. Further research is needed to evaluate the feasibility and effectiveness of the eHealth intervention.

Indexed as

RetirementSedentary BehaviorSelf-ManagementTelemedicineAgedFemaleHumansMaleMiddle Agedadherenceaffective determinantsautonomous motivationbehavior change interventionintegrated behavior change model

Identifiers

PMID39832361
PMCPMC11791440

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.