Evidence map›Paper›PMID 39178238›Full record

ArticlePloS one2024

Healthcare professional and commissioners' perspectives on the factors facilitating and hindering the implementation of digital tools for self-management of long-term conditions within UK healthcare pathways.

James P Gavin, Paul Clarkson, Paul E Muckelt, Rachael Eckford, Euan Sadler, Suzanne McDonough, Mary Barker

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

7 authors.

James P GavinSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.ORCID 0000-0003-0574-0502
Paul ClarksonSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.
Paul E MuckeltSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.ORCID 0000-0001-5995-881X
Rachael EckfordSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.ORCID 0000-0003-0324-6703
Euan SadlerSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.
Suzanne McDonoughSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.ORCID 0000-0003-3758-3302
Mary BarkerSchool of Health Sciences, University of Southampton, Southampton, Hampshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity is important in the self-management of long-term conditions (LTCs). However, implementing physical activity into clinical practice is challenging, due to complex barriers including access to programmes, time pressures, and transport costs, for people with comorbidities, managing multiple responsibilities. Various digital tools exist to overcome these barriers and support wide-scale implementation to help people stay physically active. We explored the experiences, needs and preferences of healthcare professionals and commissioners, regarding the use of digital tools to support people with LTCs to self-manage using physical activity. This included barriers and facilitators to implementing digital tools to support people with LTCs in NHS settings. Semi-structured interviews were conducted (April 2021 to January 2022) in Wessex, southern England, UK. Purposive sampling was used to recruit general practitioners and healthcare professionals, and convenience sampling to recruit commissioners (n = 15). Transcripts were coded to develop conceptual themes allowing comparisons between and among perspectives, with the Normalisation Process Theory (NPT)'s four constructs used to aid interpretation. Results showed that most digital tools supporting physical activity for LTCs, are not well implemented clinically. Current digital tools were seen to lack condition-specificity, usability/acceptability evidence-base, and voluntary sector involvement (i.e., NPT: coherence or 'making sense'). Healthcare professionals and commissioners were unlikely to engage with use of digital tools unless they were integrated into health service IT systems and professional networks (i.e., NPT: cognitive participation), or adaptable to the digital literacy levels of service users and staff (i.e., NPT: collective action-needs for implementation). In practice, this meant being technically, easy to use and culturally accessible (i.e., NPT: collective action-promoting healthcare work). COVID-19 changed professional attitudes towards digital tools, in that they saw them being viable, feasible and critical options in a way they had not done before the pandemic. Implementation was also influenced by endorsement and trustworthiness enhancing the perception of them as secure and evidence-based (i.e., NPT: reflective monitoring). Our findings highlight that consideration must be given to ensuring that digital tools are accessible to both healthcare professionals and patients, have usability/acceptability, and are adaptable to specific LTCs. To promote clinical engagement, digital tools must be evidence-based, endorsed by professional networks, and integrated into existing health systems. Digital literacy of patients and professionals is also crucial for cross-service implementation.

Indexed as

Health PersonnelSelf-ManagementAttitude of Health PersonnelChronic DiseaseCOVID-19Delivery of Health CareExerciseFemaleHumansMaleUnited Kingdom

Identifiers

PMID39178238
PMCPMC11343405

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.