Evidence map›Paper›PMID 42643760›Full record

ArticleDigital health

Development and evaluation of a digitally based functional fitness self-assessment and monitoring tool for older adults.

Jason Tallis, Darren Richardson, Sharn Shelley, Neil Clarke, David Broom, Michael Duncan

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jason TallisResearch Centre for Discoveries in Life Science, Coventry University, Coventry, UK.ORCID https://orcid.org/0000-0001-8904-2693
Darren RichardsonResearch Centre for Discoveries in Life Science, Coventry University, Coventry, UK.
Sharn ShelleyResearch Centre for Discoveries in Life Science, Coventry University, Coventry, UK.
Neil ClarkeResearch Centre for Life and Sport Science (CLaSS), School of Health Sciences, Birmingham City University, Birmingham, UK.
David BroomInstitute for Health and Care Improvement, York St John University, York, UK.
Michael DuncanResearch Centre for Healthcare and Community Transformation, Coventry University, Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maintaining physical function is central to healthy ageing and is emphasised in health policy aimed at shifting care from treatment to prevention. However, accessible tools that support routine monitoring of functional fitness remain limited despite evidence demonstrating links to adverse health outcomes. A Functional Fitness Monitoring Tool (FFMT) was developed as a digital, self-administered platform enabling older adults and healthcare professionals to assess and track physical function. The study aimed to; 1) evaluate perceived importance and usability; 2) compare between-session reliability of self-administered (SL) versus instructor-administered (IL) assessments. Method: Thirty-three community-dwelling older adults (68 ± 6 years) completed three SL assessments followed by two IL assessments, or vice versa. The FFMT incorporated nine validated functional tests with digital instructions, demonstration videos, and a results-monitoring interface. After all assessments, participants completed an online usability survey. Results: Between-session reliability across SL and IL assessments was good to excellent (ICC > 0. 816). Reliability remained across groups, though wider confidence intervals appeared for initial SL trials in some tests. Thresholds for measurable change were small. Participants found the FFMT easy to use, interpret, and valuable for long-term monitoring. Conclusion: The FFMT demonstrates high reliability and usability, with self-administered assessments performing comparably to instructor-led administration. These findings support the FFMT as an accessible, scalable tool capable of enabling accurate self-monitoring of functional fitness across clinical, community, and population settings, with potential to facilitate early detection of functional decline and promote prevention-focused healthy ageing.

Indexed as

ageingdigital healthhealth promotionmuscle functionphysical function

Identifiers

PMID42643760
PMCPMC13504135

What OpenQuestion holds

Textmetadata
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.