Evidence map›Paper›PMID 40803736›Full record

ArticleBMJ open2025

Acceptability and preferences of people with long-term conditions for delivery of digital healthcare interventions: scoping review protocol.

Charlotte Gerlis, Alice Berry, Rachel Thomas, Serena Pacey-Halls, Michael Loizou, Caroline Swales, Fiona Cramp

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

7 authors.

Charlotte GerlisUniversity of the West of England, Bristol, UK charlotte2.gerlis@live.uwe.ac.uk.ORCID http://orcid.org/0000-0002-0121-847X
Alice BerryUniversity of the West of England, Bristol, UK.
Rachel ThomasUniversity of the West of England, Bristol, UK.
Serena Pacey-HallsUniversity of the West of England, Bristol, UK.
Michael LoizouUniversity of the West of England, Bristol, UK.
Caroline SwalesUniversity of the West of England, Bristol, UK.
Fiona CrampUniversity of the West of England, Bristol, UK.ORCID http://orcid.org/0000-0001-8035-9758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health interventions (DHIs) are prevalent and have been shown to help some people with long-term conditions (LTCs) to manage their condition. There are myriad options for digital delivery yet limited understanding of what modes of delivery are acceptable to people with LTCs. It is important to understand the acceptability of delivery methods of DHIs to inform future DHI development and promote engagement. This scoping review aims to explore the acceptability of the delivery of DHIs for people with LTCs. METHODS AND ANALYSIS: This review will follow the Joanna Briggs Institute guidance for scoping reviews and will be reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Scoping reviews extension checklist. Databases including MEDLINE, PubMed, CINAHL, AHMED and PsycINFO will be searched for primary studies that provide data on preferences for delivery methods of DHIs by people with LTCs. Narrative analysis is anticipated, and a summary of the findings will be presented in a tabulated format. ETHICS AND DISSEMINATION: Ethical approval will not be required for this scoping review. The findings will be disseminated via appropriate peer-reviewed journals and conferences and PhD theses.

Indexed as

Patient Acceptance of Health CarePatient PreferenceTelemedicineChronic DiseaseDelivery of Health CareHumansResearch DesignScoping Reviews as TopicChronic DiseaseDigital TechnologyeHealth

Identifiers

PMID40803736
PMCPMC12352148

What OpenQuestion holds

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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.