ReviewOpen access emergency medicine : OAEM2025
Challenges in the Literature Around Context-Sensitive Implementation of Shared Decision Making in Emergency Medicine: A Scoping Review.
Review in Open access emergency medicine : OAEM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Background: Shared decision making is a healthcare method in which health personnel and patients collaboratively evaluate different management options for medical decisions. Despite possible restraints this method encounters in the context of emergency medicine, there is a growing body of evidence. This article critically appraises the current literature and challenges to inform future research efforts. Methods: This scoping review respects the PRISMA- and PECOS-methodologies. Qualitative- and quantitative studies were included when exposing emergency health personnel or patients to collaborative care for medical decisions with multiple reasonable management options. PubMed, CENTRAL, APA PsycINFO, Web of Science, reference lists and research group remarks served as data sources. Three researchers handled title- and abstract screening; one researcher extracted and synthesized data. Basic data on study design, publication date, country of origin, estimates for time consumption and more were extracted through standardized forms for all publications. All outcomes from the randomized clinical trials were included and reported, following the authors' conclusions. This includes effects on consultation times. Through tabular visualization, critical appraisal and author group discussions, challenges in the literature were summarized narratively. Neither risk of bias assessment nor meta-analysis were performed. Results: Of 3954 hits, 3428 remained for the title- and abstract screening and 67 for data synthesis. Studies predominantly utilized observational designs (n=27), originated from the USA (n=50) and were published between 2011 and 2020 (n=46). The included randomized trials (n=6) report heterogeneous results on patient-reported outcome measures and resource utilization. Patient safety was reported as not affected. In three randomized trials, consultations were prolonged by 2 minutes on average. Through critical appraisal and author group discussions, six annotations on the literature on shared decision making in emergency medicine were stipulated. Conclusion: Research on shared decision making in emergency medicine utilizes different, intertwined terminologies, originates mostly from the USA and focuses on decision aids. The few randomized trials exclude high-risk patients and suggest potential resource-saving effects without compromising patient safety. The formal increase in discussion times appears debatable.
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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.