ArticlePloS one2024
Visual decision aids to support communication and shared decision-making: How are they valued and used in practice?
Article in PloS one, 2024. 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.
- Prevalence of patients with limited health literacy in rotator cuff tears and their experiences with care: a mixed-methods study.JSES international · 2026Article
- Visual Tools for Informed Decision-Making in Large-Core Thrombectomy for Acute Ischemic Stroke.Stroke (Hoboken, N.J.) · 2026Article
- Effectiveness of Technology-Based Interventions in Promoting Lung Cancer Screening Uptake and Decision-Making Among Patients.International journal of environmental research and public health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is unknown how visual decision aids support communication and shared decision-making in everyday clinical practice, and how they are perceived by patients with varying levels of health literacy and their healthcare providers. Recently, three visual decision aids have been developed for renal replacement treatment, osteoarthritis of the knee, and osteoarthritis of the hip. This study aims to explore how patients and healthcare providers use and value these visual decision aids.
methodsThe evaluation of the visual decision aids was performed by coding video-recorded outpatient consultations (n = 35), by conducting reflective practice interviews with healthcare providers (n = 9), and through interviews with patients (n = 29). Consultations were coded using the 5-item OPTION instrument to measure shared decision-making, and self-developed items based on the visual decision aids and user guide.
resultsBoth healthcare providers and patients valued the use of the visual decision aids, especially the overview page with all treatment options. Accordingly, it was observed that most providers mainly used the overview page. However, providers in nephrology discussed the individual treatment pages more often than providers in osteoarthritis care. This study also showed that most providers were unfamiliar with the user guide for the visual decision aids.
conclusionVisual decision aids for nephrology and osteoarthritis care seem particularly useful for patients with limited health literacy. Healthcare providers in this study mainly used the overview page of the visual decision aids. Although this is valued by both providers and patients, it is also important to discuss the individual treatment pages, including the pros and cons, with patients. This study also points to differences between outpatient clinics or departments in the use and implementation of the visual decision aids. The visual decision aids for osteoarthritis are used to a limited extent. In nephrology clinics, the visual decision aid is implemented.
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.