Evidence map›Paper›PMID 29720358›Full record

ArticleJMIR research protocols2018

Translating Behavior Change Principles Into a Blended Exercise Intervention for Older Adults: Design Study.

Sumit Mehra, Bart Visser, Tessa Dadema, Jantine van den Helder, Raoul Hh Engelbert, Peter Jm Weijs, Ben Ja Kröse

Abstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Sumit MehraApplied Psychology, Faculty of Applied Social Sciences and Law, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0001-8996-1956
Bart VisserAmsterdam Center for Innovative Health Practice, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-8559-9715
Tessa DademaAmsterdam Center for Innovative Health Practice, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-0002-9466
Jantine van den HelderAmsterdam Center for Innovative Health Practice, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-3071-7251
Raoul Hh EngelbertAmsterdam Center for Innovative Health Practice, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0002-6923-8696
Peter Jm WeijsFaculty of Sports and Nutrition, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0001-8281-0426
Ben Ja KröseDigital Life - CREATE-IT Applied Research, Faculty of Digital Media and Creative Industries, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID http://orcid.org/0000-0003-1237-0618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity can prevent or delay age-related impairments and prolong the ability of older adults to live independently. Community-based programs typically offer classes where older adults can exercise only once a week under the guidance of an instructor. The health benefits of such programs vary. Exercise frequency and the duration of the program play a key role in realizing effectiveness. An auxiliary home-based exercise program can provide older adults the opportunity to exercise more regularly over a prolonged period of time in the convenience of their own homes. Furthermore, mobile electronic devices can be used to motivate and remotely guide older adults to exercise in a safe manner. Such a blended intervention, where technology is combined with personal guidance, needs to incorporate behavior change principles to ensure effectiveness.

objectiveThe aim of this study was to identify theory-based components of a blended intervention that supports older adults to exercise at home.

methodsThe Medical Research Council framework was used to develop the blended intervention. Insights from focus group, expert panels, and literature were combined into leading design considerations.

resultsA client-server system had been developed that combined a tablet app with a database in the cloud and a Web-based dashboard that can be used by a personal coach to remotely monitor and guide older adults. The app contains several components that facilitate behavior change-an interactive module for goal setting, the ability to draw up a personal training schedule from a library containing over 50 exercise videos, progress monitoring, and possibilities to receive remote feedback and guidance of a personal coach.

conclusionsAn evidence-based blended intervention was designed to promote physical activity among older adults. The underlying design choices were underpinned by behavior change techniques that are rooted in self-regulation. Key components of the tablet-supported intervention were a tailored program that accommodates individual needs, demonstrations of functional exercises, monitoring, and remote feedback. The blended approach combines the convenience of a home-based exercise program for older adults with the strengths of mobile health and personal guidance.

Indexed as

activities of daily livingagedbehavior controlexercisefrail elderlyhealth behaviormobile devicesremote consultationtablet computerstelemedicinetreatment adherence and compliance

Identifiers

PMID29720358
PMCPMC5956161

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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.