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  3. Effects of a computerised diagnostic decision support tool on diagnostic quality in emergency departments: study protocol of the DDx-BRO multicentre cluster randomised cross-over trial.
 

Effects of a computerised diagnostic decision support tool on diagnostic quality in emergency departments: study protocol of the DDx-BRO multicentre cluster randomised cross-over trial.

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BORIS DOI
10.48350/181092
Publisher DOI
10.1136/bmjopen-2023-072649
PubMed ID
36990482
Description
INTRODUCTION

Computerised diagnostic decision support systems (CDDS) suggesting differential diagnoses to physicians aim to improve clinical reasoning and diagnostic quality. However, controlled clinical trials investigating their effectiveness and safety are absent and the consequences of its use in clinical practice are unknown. We aim to investigate the effect of CDDS use in the emergency department (ED) on diagnostic quality, workflow, resource consumption and patient outcomes.

METHODS AND ANALYSIS

This is a multicentre, outcome assessor and patient-blinded, cluster-randomised, multiperiod crossover superiority trial. A validated differential diagnosis generator will be implemented in four EDs and randomly allocated to a sequence of six alternating intervention and control periods. During intervention periods, the treating ED physician will be asked to consult the CDDS at least once during diagnostic workup. During control periods, physicians will not have access to the CDDS and diagnostic workup will follow usual clinical care. Key inclusion criteria will be patients' presentation to the ED with either fever, abdominal pain, syncope or a non-specific complaint as chief complaint. The primary outcome is a binary diagnostic quality risk score composed of presence of an unscheduled medical care after discharge, change in diagnosis or death during time of follow-up or an unexpected upscale in care within 24 hours after hospital admission. Time of follow-up is 14 days. At least 1184 patients will be included. Secondary outcomes include length of hospital stay, diagnostics and data regarding CDDS usage, physicians' confidence calibration and diagnostic workflow. Statistical analysis will use general linear mixed modelling methods.

ETHICS AND DISSEMINATION

Approved by the cantonal ethics committee of canton Berne (2022-D0002) and Swissmedic, the Swiss national regulatory authority on medical devices. Study results will be disseminated through peer-reviewed journals, open repositories and the network of investigators and the expert and patients advisory board.

TRIAL REGISTRATION NUMBER

NCT05346523.
Date of Publication
2023-03-29
Publication Type
Article
Subject(s)
600 - Technology::610 - Medicine & health
300 - Social sciences, sociology & anthropology::360 - Social problems & social services
Keyword(s)
accident & emergency medicine decision making health informatics information management internal medicine quality in health care
Language(s)
en
Contributor(s)
Marcin, Thimoorcid-logo
Universitätsklinik für Notfallmedizin
Hautz, Stefanie Carolaorcid-logo
Universitätsklinik für Notfallmedizin
Singh, Hardeep
Zwaan, Laura
Schwappach, Davidorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Krummrey, Gertorcid-logo
Universitätsklinik für Notfallmedizin
Schauber, Stefan K
Nendaz, Mathieu
Exadaktylos, Aristomenis
Universitätsklinik für Notfallmedizin
Müller, Martin
Universitätsklinik für Notfallmedizin
Lambrigger, Cornelia
Universitätsklinik für Notfallmedizin
Sauter, Thomas Christian
Universitäres Notfallzentrum - Gruppe Sauter
Lindner, Gregor
Bosbach, Simon Johannes
Spital Tiefenau, Innere Medizin und Gastroenterologie
Griesshammer, Ines
Spital Münsingen, Medizin
Blaum, Wolforcid-logo
Universitätsklinik für Notfallmedizin
Additional Credits
Universitätsklinik für Notfallmedizin
Institut für Sozial- und Präventivmedizin (ISPM)
Universitäres Notfallzentrum - Gruppe Sauter
Spital Tiefenau, Innere Medizin und Gastroenterologie
Spital Münsingen, Medizin
Series
BMJ open
Publisher
BMJ Publishing Group
ISSN
2044-6055
Access(Rights)
open.access
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