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.

Marcin, Thimo; Hautz, Stefanie C; Singh, Hardeep; Zwaan, Laura; Schwappach, David; Krummrey, Gert; Schauber, Stefan K; Nendaz, Mathieu; Exadaktylos, Aristomenis; Müller, Martin; Lambrigger, Cornelia; Sauter, Thomas C; Lindner, Gregor; Bosbach, Simon; Griesshammer, Ines; Blaum, Wolf E (2023). 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. BMJ open, 13(3), e072649. BMJ Publishing Group 10.1136/bmjopen-2023-072649

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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.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > University Emergency Center
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Marcin, Thimo, Hautz, Stefanie Carola, Schwappach, David, Krummrey, Gert, Exadaktylos, Aristomenis, Müller, Martin (B), Lambrigger, Cornelia, Sauter, Thomas Christian, Bosbach, Simon Johannes, Griesshammer, Ines, Blaum, Wolf

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

2044-6055

Publisher:

BMJ Publishing Group

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Pubmed Import

Date Deposited:

30 Mar 2023 10:42

Last Modified:

05 Apr 2023 15:01

Publisher DOI:

10.1136/bmjopen-2023-072649

PubMed ID:

36990482

Uncontrolled Keywords:

accident & emergency medicine decision making health informatics information management internal medicine quality in health care

BORIS DOI:

10.48350/181092

URI:

https://boris.unibe.ch/id/eprint/181092

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