Evidence map›Paper›PMID 35651731›Full record

ArticleDigital health

Exploring the experiences of people and family carers from under-represented groups in self-managing Parkinson's disease and their use of digital health to do this.

Danielle Nimmons, Megan Armstrong, Jennifer Pigott, Kate Walters, Anette Schrag, Della Ogunleye, Wesley Dowridge, Joy Read, Nathan Davies

Open access · goldAbstract 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. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Co-Design of a Facilitated Self-Management Toolkit for People With Parkinson's Disease.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  8. A qualitative exploration of the barriers and facilitators to self-managing multiple long-term conditions amongst people experiencing socioeconomic deprivation.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  9. Article
  10. Article
  11. If Art Were a Drug: Implications for Parkinson's Disease.Journal of Parkinson's disease · 2024
    Review
  12. Review
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  14. Article
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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

9 authors.

Danielle NimmonsCentre for Ageing Population Studies, Research Department of Primary Care and Population Health, UCL, UK.ORCID https://orcid.org/0000-0002-1239-3417
Megan ArmstrongCentre for Ageing Population Studies, Research Department of Primary Care and Population Health, UCL, UK.
Jennifer PigottDepartment of Neurology, Institute of Neurology, UCL, UK.
Kate WaltersCentre for Ageing Population Studies, Research Department of Primary Care and Population Health, UCL, UK.
Anette SchragDepartment of Neurology, Institute of Neurology, UCL, UK.
Della OgunleyeCentre for Ageing Population Studies, Research Department of Primary Care and Population Health, UCL, UK.
Wesley DowridgeCentre for Ageing Population Studies, Research Department of Primary Care and Population Health, UCL, UK.
Joy ReadDepartment of Neurology, Institute of Neurology, UCL, UK.
Nathan DaviesCentre for Ageing Population Studies, Research Department of Primary Care and Population Health, UCL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital health is thought to enable people to better manage chronic conditions, such as Parkinson's. However, little is known about how people from under-represented groups with chronic conditions use digital health to self-manage. Objective: The objective of our study was to explore the experiences of people and family carers from under-represented groups in self-managing Parkinson's, including their use of digital health to do this. Methods: Semi-structured interviews (n = 18, including four dyadic) were conducted remotely, with 16 people with Parkinson's and six family carers in 2020-2021. Participants were purposively sampled from under-represented groups: belong to an ethnic minority, or having significant physical or sensory impairment. Interviews were audio-recorded, transcribed and analysed using thematic analysis. Results: Three main themes of importance were developed: 'self-management support', 'digital health use to support self-management' and 'identity, attitudes and characteristics'. Participants received medical, psychological, social and practical self-management support. Some participants used digital health resources, e.g., Parkinson's UK website. Digital literacy was the biggest barrier to using digital health, regardless of background, often dependant on previous occupation and confidence. Few ethnic minority participants thought race or culture alters self-management ability and most believed there was no need for digital health interventions to be tailored to an individual's race or culture. Some felt inclusivity was important in terms of diverse images of people. A range of considerations were identified to optimise digital health, such as assistive equipment for people with sensory impairment. Conclusions: Barriers to using digital health for self-management were primarily dependent on personal factors including digital literacy and attitudes but rarely race or culture. We recommend the optimisation of digital health interventions by providing assistive technology at low cost, and visual inclusiveness should be promoted by including images of people from diverse backgrounds.

Identifiers

PMID35651731
PMCPMC9149607
OpenAlexW4282944655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.