ReviewExpert review of pharmacoeconomics & outcomes research2025
How can patients shape digital medicine? A rapid review of patient and public involvement and engagement in the development of digital health technologies for neurological conditions.
Review in Expert review of pharmacoeconomics & outcomes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Digital Episodic Future Thinking Intervention (Luminaut): Co-Design and Iterative Development Study.JMIR human factors · 2026Article
- Evolution of Patient and Public Involvement and Engagement in Health-Related Research: A Concept Analysis.Journal of advanced nursing · 2026Review
- Evaluating Patient and Public Involvement and Engagement Activity Within the 3DPiPPIn Trial: A Qualitative Exploration of Contributors' Perspectives on Their Impact.Health expectations : an international journal of public participation in health care and health policy · 2026Article
- A rapid evaluation of the reporting and publishing practices of patient and public involvement and engagement in health research within a UK university institute.Research involvement and engagement · 2026Review
- User-centered design and formative evaluation of a gait dashboard for multidimensional walking assessment in multiple sclerosis.Frontiers in digital health · 2026Article
- End User and Primary Care Physicians' Perspectives on Digital Innovations in Dementia Risk Detection: Focus on a Digital Sleep Biomarker.JMIR aging · 2025Article
- The collection of speech data for the assessment of cognition remotely: Balancing ethical and practical challenges.Alzheimer's & dementia (Amsterdam, Netherlands)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPatient and Public Involvement and Engagement (PPIE) involves working '
methodsKey terms were input into six databases. Included articles were qualitative studies or PPIE activities involving patient perspectives in shaping digital health technologies for neurological conditions. Bias was evaluated using the NICE qualitative checklist, with reporting following PRISMA guidelines.
results2,140 articles were identified, with 28 included. Of these, 25 were qualitative studies, and only three were focused PPIE activities. Patient involvement was mostly limited to one-off consultations during development.There was little evidence of PPIE during implementation, and minimal reporting on its impact.
conclusionsPPIE has been inconsistently reported in this research area, highlighting the need for more guidance and best-practice examples This review used a UK-based definition of PPIE, which may have excluded relevant activities from other countries. Future reviews should broaden terminology to capture PPIE integration globally.
Indexed as
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.