Evidence map›Paper›PMID 42247640›Full record

ArticleJournal of participatory medicine2026

Evaluation of a Digital Intervention to Improve the Health Outcomes of Older Adults: Secondary Data Analysis.

Jowinn Chew, Georgina Bartlett, Lily Hopkins, Dan Frings

Abstract read
In one paragraph

Article in Journal of participatory 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.

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

4 authors.

Jowinn ChewYoung Epilepsy, St Piers Lane, Lingfield, RH7 6PW, United Kingdom, 44 01342 832243.ORCID http://orcid.org/0000-0001-5169-6819
Georgina BartlettSchool of Allied Health and Life Sciences, College of Health and Life Sciences, London South Bank University, 103 Borough Road, London, SE1 0AA, United Kingdom, 44 020 7815 7815.ORCID http://orcid.org/0000-0003-1573-9556
Lily HopkinsLondon School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, London, United Kingdom.ORCID http://orcid.org/0000-0002-4621-1829
Dan FringsSchool of Allied Health and Life Sciences, College of Health and Life Sciences, London South Bank University, 103 Borough Road, London, SE1 0AA, United Kingdom, 44 020 7815 7815.ORCID http://orcid.org/0000-0002-0183-9516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The health of aging populations is among the top challenges facing global health systems. The use of mobile health (mHealth) approaches has been found to be effective in prompting changes and has been identified as a potentially valuable tool to enhance health behaviors among older adults. Objective: This study sought to explore the efficacy and acceptability of a personalized mHealth app for older adults, focusing on well-being, mental and physical health, and relationship with food. Methods: This secondary data analysis examined outcomes of real-world Holly Health users who enrolled between August 2022 and January 2023. Results: Results showed that, after the intervention, self-confidence, energy, mindfulness, health mindset, and short- and long-term mindset all improved. Furthermore, the personalized mHealth app showed a good level of acceptability among the participants. Conclusions: Engaging with this digital health intervention improved several aspects of physical and mental health, adding to existing evidence that effective and accessible tools are needed to promote healthy aging.

Indexed as

digital healthhealth behaviorshealth outcomeshealthy agingmHealthmHealth strategiesmobile healthmobile health strategies

Identifiers

PMID42247640
PMCPMC13240981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.