ArticleSystematic reviews2023
Interprofessional diagnostic management teams: a scoping review protocol.
Article in Systematic reviews, 2023. 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, 2 citations in OpenAlex.
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
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiagnostic errors are a major problem in healthcare. In 2015, the report "Improving Diagnosis in Health Care" by the National Academies of Sciences, Engineering, and Medicine (NASEM) stated that it is likely that most people will experience at least one diagnostic error in their lifetime. The report suggests implementing diagnostic management teams, including patients and their relatives, diagnosticians, and healthcare professionals who support the diagnostic process, to limit diagnostic error and improve patient safety. Implementing interprofessional diagnostic management teams (IDMT), however, is not an easy task due to the complexity of the diagnostic processes and the traditional organization of healthcare with divided departments and healthcare professional who operate in different geographic locations. As this topic is still emerging, a scoping review is ideal to determine the scope of the body of literature on IDMT, indicate the volume of literature and studies available and identify any gaps in knowledge. In a long-term perspective, this scoping review will contribute to prevent diagnostic errors and improve patient safety, for adults and children with physical health issues.
methodsWe will conduct this scoping review in accordance with the JBI methodology and report it based on the PRISMA-ScR. We will systematically search six databases (EMBASE, PubMed, CINAHL, Academic Search Premier, SCOPUS and Web of Science) for papers published between 1985 and 2023 that describe the use of interprofessional diagnostic management teams. The participants included will be adults and children seeking diagnostic care for physical health issues. The concept studied will be interprofessional diagnostic management teams, and the context will be the diagnostic process in the healthcare system. Studies examining the diagnostic process in psychiatry, odontology or complementary medicine will be excluded. Data extraction, including key study characteristics and findings, will be done by two reviewers independently. Any disagreement will be resolved by discussion and eventually by including the two remainder reviewers. DISCUSSION: To our knowledge, this will be the first scoping review regarding IDMT and the derived effects on diagnostic safety and can therefore be a very important contribution to improve patient safety significantly during the diagnostic process. PROTOCOL REGISTRATION: The project is registered at Open Science Framework (OSF) with ID: osf.io/kv2n6.
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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.