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.
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.
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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Mechanisms of inequitable access to parkinson's disease care: a critical interpretive synthesis.International journal for equity in health · 2025Pooled it
- Disparities in Access to Deep Brain Stimulation for Parkinson's Disease and Proposed Interventions: A Literature Review.Stereotactic and functional neurosurgery · 2024Pooled it
- A Systematic Review of Health Literacy in People Living With Parkinson's Disease.Health science reports · 2026Review
- Bridging the global Parkinson's divide: Technology as a structural solution for equitable and brain health-integrated care.Journal of Parkinson's disease · 2026Review
- In-person when necessary and available, remotely when possible - How telemedicine can support palliative care for persons with Parkinson's disease: a qualitative study.BMC palliative care · 2026Article
- Feasibility and Acceptability of Intervention and Trial Procedures of the UCL Live Well With Parkinson's Self-Management Toolkit.Parkinson's disease · 2025Article
- 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 · 2024Article
- 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 · 2024Article
- Article
- Coproduction and Usability of a Smartphone App for Falls Reporting in Parkinson Disease.Physical therapy · 2024Article
- If Art Were a Drug: Implications for Parkinson's Disease.Journal of Parkinson's disease · 2024Review
- The Importance of Digital Health Literacy in an Evolving Parkinson's Disease Care System.Journal of Parkinson's disease · 2024Review
- Article
- Impact of digital technologies on self-efficacy in people with Parkinson's: a scoping review protocol.BMJ open · 2023Article
- Evaluating an interactive tool that reasons about quality of life to support life planning by older people.Digital healthArticle
- The impact of smart healthcare and eldercare on older adults' health and health inequality: Evidence from China.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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
What OpenQuestion holds
Registered trials
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.