ArticleBMJ open2025
Medical complexity in emergency and urgent care settings: a scoping review protocol.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Barriers to Protocol Adherence in Emergency Departments and Evidence-Based Strategies for Successful Implementation: A Scoping Review.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionConsidering the impact of non-medical factors (personal and social) on patients with multiple chronic conditions, the term 'medical complexity' is gaining traction as it encompasses both medical and non-medical aspects of patients' medical needs. When primary care is not able to provide timely care for chronic challenges or acute concerns, complex patients require care in emergency or urgent care settings. The concept of medical complexity is continually evolving, although without a universally accepted or standardised definition that determines if an adult patient is considered complex. Therefore, this scoping review aims to understand how medical complexity is defined, identify its defining attributes and examine its use in clinical care research. We also aim to consolidate and evaluate the evidence to suggest a more comprehensive and standardised definition of medical complexity and/or highlight key components required to define medical complexity in urgent care and emergency department settings. METHODS AND ANALYSIS: This protocol is developed according to the approach described by Arksey and O'Malley (2005) and expanded by Levac and colleagues. We will use Walker and Avant's method of concept analysis (2005) to gain a comprehensive understanding of the concept of medical complexity. We will systematically search MEDLINE, CINAHL Plus, EMBASE, APA PsycINFO and Cochrane Library. A grey literature search will be conducted in Google and Google Scholar to identify additional information. Two reviewers will independently screen titles and abstracts for inclusion, followed by a screening of the full text of potentially relevant articles. Relevant data will be extracted from these studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist will be used to report the selection of studies at different stages. ETHICS AND DISSEMINATION: Scoping review methodology uses and reviews publicly available studies and data, so ethics approval is not required. We will disseminate the results of this scoping review through peer-reviewed publications and presentations at academic conferences and scientific meetings. We will also share these results with key stakeholders, including healthcare providers, community organisations and healthcare system leaders.
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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.