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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 9, 2020
Date Accepted: Nov 3, 2020

The final, peer-reviewed published version of this preprint can be found here:

Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

Li L, Ackermann K, Baker J, Westbrook J

Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

JMIR Res Protoc 2020;9(11):e24899

DOI: 10.2196/24899

PMID: 33215998

PMCID: 7718090

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Use and evaluation of computerized clinical decision support systems for early detection of sepsis in hospitals: protocol for a scoping review

  • Ling Li; 
  • Khalia Ackermann; 
  • Jannah Baker; 
  • Johanna Westbrook

ABSTRACT

Background:

Sepsis is a leading cause of death in hospitals, with high associated costs for both patients and healthcare systems worldwide. Early detection followed by timely intervention is critical for successful sepsis management, and hence can save lives. Healthcare institutions are increasingly leveraging clinical data captured in electronic health records for the development of computerized clinical decision support (CDS) systems aimed at enhancing the early detection of sepsis. However, a comprehensive evidence base regarding sepsis CDS systems to inform clinical practice, research and policy is currently lacking.

Objective:

This scoping review aims to systematically describe studies reporting on the use and evaluation of CDS systems for early detection of sepsis in hospitals.

Methods:

The methodology for conducting scoping reviews presented by the Joanna Briggs Institute Reviewer’s Manual and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) will be used and adapted as guides. A comprehensive literature search of 10 electronic databases will be conducted to identify all empirical quantitative and qualitative studies that investigate the use of CDS systems for early detection of sepsis in hospitals. Detailed inclusion and exclusion criteria have been developed. Two reviewers will independently screen all articles based on these criteria. Any discrepancies will be resolved through discussion and further review by a third researcher if required.

Results:

Electronic database searches have retrieved 12,139 references after removing 10,051 duplicates. As of the submission date of this protocol, we have completed the title and abstract screening. A total of 372 references will be included for full-text screening. Only 16% of these references were focused on children (41 for paediatric and 18 for neonatal). The scoping review and the manuscript will be completed by December 2020.

Conclusions:

Results of this review will guide researchers in determining gaps and shortcomings in the current evidence base for CDS system use and evaluation in the early detection of sepsis. The findings will be shared with key stakeholders in clinical care, research and policy, and patient advocates.


 Citation

Please cite as:

Li L, Ackermann K, Baker J, Westbrook J

Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

JMIR Res Protoc 2020;9(11):e24899

DOI: 10.2196/24899

PMID: 33215998

PMCID: 7718090

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