ArticleInterface focus2016
Participatory medicine: model based tools for engaging and empowering the individual.
Article in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method.JMIR research protocols · 2020Article
- Measuring the outcomes of using person-generated health data: a case study of developing a PROM item bank.BMJ health & care informatics · 2019Article
- Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review.JMIR rehabilitation and assistive technologies · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The long-term goal of the Virtual Physiological Human and Digital Patient projects is to run 'simulations' of health and disease processes on the virtual or 'digital' patient, and use the results to make predictions about real health and determine the best treatment specifically for an individual. This is termed 'personalized medicine', and is intended to be the future of healthcare. How will people interact and engage with their virtual selves, and how can virtual models be used to motivate people to actively participate in their own healthcare? We discuss these questions, and describe our current efforts to integrate and realistically embody psychobiological models of face-to-face interaction to enliven and increase engagement of virtual humans in healthcare. Overall, this paper highlights the need for attention to the design of human-machine interfaces to address patient engagement in healthcare.
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.