Evidence map›Paper›PMID 31120021›Full record

ArticleJMIR formative research2019

Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews.

Sarah Thomas, Andy Pulman, Peter Thomas, Sarah Collard, Nan Jiang, Huseyin Dogan, Angela Davies Smith, Susan Hourihan, Fiona Roberts, Paula Kersten and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. 'It struck at the heart of who I thought I was': A meta-synthesis of the qualitative literature examining the experiences of people with multiple sclerosis.Health expectations : an international journal of public participation in health care and health policy · 2020
    Review
  8. 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

14 authors at 6 institutions in 2 countries.

Sarah ThomasBournemouth University Clinical Research Unit, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0002-9501-9091
Andy PulmanBournemouth University Clinical Research Unit, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0001-7506-6897
Peter ThomasBournemouth University Clinical Research Unit, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0003-2478-4324
Sarah CollardBournemouth University Clinical Research Unit, Faculty of Health & Social Sciences, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0003-3813-957X
Nan JiangFaculty of Science & Technology, Department of Computing and Informatics, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0003-1510-9888
Huseyin DoganFaculty of Science & Technology, Department of Computing and Informatics, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0002-9138-9319
Angela Davies SmithBristol and Avon Multiple Sclerosis Service, North Bristol National Health Service Trust, Bristol, United Kingdom.ORCID http://orcid.org/0000-0002-2358-9239
Susan HourihanTherapy and Rehabilitation Service, National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, United Kingdom.ORCID http://orcid.org/0000-0002-6989-1599
Fiona RobertsLong Term Conditions Team, The Walton Centre National Health Service Trust, Liverpool, United Kingdom.ORCID http://orcid.org/0000-0002-3621-433X
Paula KerstenSchool of Health Sciences, University of Brighton, Brighton, United Kingdom.ORCID http://orcid.org/0000-0003-4038-0442
Keith PrettyFaculty of Science & Technology, Department of Computing and Informatics, Bournemouth University, Bournemouth, United Kingdom.ORCID http://orcid.org/0000-0002-3840-9376
Jessica K MillerDepartment of Sociology, University of Cambridge, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-6687-8823
Kirsty StanleyDorset Multiple Sclerosis Service, Poole Hospital National Health Service Foundation Trust, Poole, United Kingdom.ORCID http://orcid.org/0000-0002-5562-6022
Marie-Claire GayParis Nanterre University, Paris, France.ORCID http://orcid.org/0000-0001-6670-7074
Bournemouth University · GBNational Health Service · GBRoyal London Hospital · GBUniversité Paris Nanterre · FRUniversity of Brighton · GBUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatigue is one of the most common and debilitating symptoms of multiple sclerosis (MS) and is the main reason why people with MS stop working early. The MS Society in the United Kingdom funded a randomized controlled trial of FACETS-a face-to-face group-based fatigue management program for people with multiple sclerosis (pwMS)-developed by members of the research team. Given the favorable trial results and to help with implementation, the MS Society supported the design and printing of the FACETS manual and materials and the national delivery of FACETS training courses (designed by the research team) for health care professionals (HCPs). By 2015 more than 1500 pwMS had received the FACETS program, but it is not available in all areas and a face-to-face format may not be suitable for, or appeal to, everyone. For these reasons, the MS Society funded a consultation to explore an alternative Web-based model of service delivery.

objectiveThe aim of this study was to gather views about a Web-based model of service delivery from HCPs who had delivered FACETS and from pwMS who had attended FACETS.

methodsTelephone consultations were undertaken with FACETS-trained HCPs who had experience of delivering FACETS (n=8). Three face-to-face consultation groups were held with pwMS who had attended the FACETS program: London (n=4), Liverpool (n=4), and Bristol (n=7). The interviews and consultation groups were digitally recorded and transcribed. A thematic analysis was undertaken to identify key themes. Toward the end of the study, a roundtable meeting was held to discuss outcomes from the consultation with representatives from the MS Society, HCPs, and pwMS.

resultsKey challenges and opportunities of designing and delivering an integrated Web-based version of FACETS and maintaining user engagement were identified across 7 themes (delivery, online delivery, design, group, engagement, interactivity, and HCP relationships). Particularly of interest were themes related to replicating the group dynamics and the lack of high-quality solutions that would support the FACETS' weekly homework tasks and symptom monitoring and management.

conclusionsA minimum viable Web-based version of FACETS was suggested as the best starting point for a phased implementation, enabling a solution that could then be added to over time. It was also proposed that a separate study should look to create a free stand-alone digital toolkit focusing on the homework elements of FACETS. This study has commenced with a first version of the toolkit in development involving pwMS throughout the design and build stages to ensure a user-centered solution.

Indexed as

FACETSfatiguefatigue managementmobile healthmultiple sclerosistelemedicine

Identifiers

PMID31120021
PMCPMC6549474
OpenAlexW2919068405

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.