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Published on: September 30, 2020
Protocol describing a systematic review and mixed methods consensus process to define the deteriorated ward patient
James Malycha1,2,3,4, Chris Andersen5, Oliver C Redfern3
1Intensive Care Unit, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia james.malycha@sa.gov.au.
Developing a precise definition for deteriorating hospital patients is crucial for improving electronic medical record (EMR) tools. This study outlines a mixed-methods approach to create a reliable outcome measure for clinical deterioration prediction.
Area of Science:
- Clinical Informatics
- Patient Outcomes Research
- Healthcare Quality Improvement
Background:
- A significant number of hospitalized patients deteriorate, requiring advanced care.
- Current outcome measures for patient deterioration are subjective and variable.
- This variability hinders the development of accurate electronic medical record (EMR)-linked predictive tools.
Purpose of the Study:
- To develop a novel, objective outcome measure for clinically deteriorated hospitalized adult patients.
- To address limitations in current proxy outcomes used in observational studies.
- To facilitate the creation of more accurate digital tools for predicting clinical deterioration.
Main Methods:
- Systematic literature review to identify existing definitions of clinical deterioration.
- International modified Delphi study to shortlist candidate definitions.
- Nominal group technique (NGT) with diverse stakeholders to reach a consensus definition.
- Ensuring the final definition is readily extractable from EMR data.
Main Results:
- (Study protocol stage) A multi-stage mixed-methods approach is detailed.
- The protocol aims to generate a consensus definition for patient deterioration.
- The proposed definition will be designed for EMR data extraction.
Conclusions:
- A standardized, EMR-extractable definition is needed to improve clinical deterioration prediction.
- This protocol outlines a robust method for developing such a definition.
- The findings will support the advancement of digital health tools in patient monitoring.
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