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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Dec 13, 2023
Date Accepted: Feb 2, 2024

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

The Effect of an Electronic Medical Record–Based Clinical Decision Support System on Adherence to Clinical Protocols in Inflammatory Bowel Disease Care: Interrupted Time Series Study

Sutton RT, Chappell KD, Pincock D, Sadowski D, Baumgart DC, Kroeker KI

The Effect of an Electronic Medical Record–Based Clinical Decision Support System on Adherence to Clinical Protocols in Inflammatory Bowel Disease Care: Interrupted Time Series Study

JMIR Med Inform 2024;12:e55314

DOI: 10.2196/55314

PMID: 38533825

PMCID: 11004614

Warning: This is an author submission that is not peer-reviewed or edited.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.

Effect of an Electronic Medical Record-Based Clinical Decision Support System on Adherence to Clinical Protocols: An Interrupted Time Series Study in Inflammatory Bowel Disease

  • Reed Taylor Sutton; 
  • Kaitlyn Delaney Chappell; 
  • David Pincock; 
  • Daniel Sadowski; 
  • Daniel C Baumgart; 
  • Karen I Kroeker

ABSTRACT

Background:

Electronic medical record (EMR) (also called electronic health record (EHR)) embedded clinical decision support systems (CDSS) have the potential to improve the adoption of clinical guidelines. The University of Alberta Inflammatory Bowel Disease (IBD) Group developed a CDSS for IBD patients with suspected disease flare and deployed it within a clinical information system (CIS) in two continuous time periods.

Objective:

This study aims to evaluate the impact of the IBD CDSS on health care provider (physicians and nurses) adherence to institutionally agreed clinical management protocols.

Methods:

Two-period interrupted time-series (ITS) design, comparing adherence to a clinical flare management protocol during outpatient visits pre- and post-implementation of the CDSS. Each interruption was initiated with user training and a memo with instructions for use. 7 physicians, 1 nurse practitioner, and 4 nurses were invited to use the CDSS. 31,726 flare encounters were extracted from the CIS database, after which 9,217 were manually screened for inclusion. Each data point in the ITS analysis corresponds to one month of individual patient encounters, with a total of 18 months of data, 9 pre- and 9 post-interruption, for each period. The study was designed in accordance with STARE-HI guidelines for health informatics evaluations.

Results:

Following manual screening, 623 flare encounters were confirmed and designated for ITS analysis. The CDSS was activated in 198/623 of the encounters, most commonly in cases where the primary visit reason was a suspected IBD flare. In Period 1, before-and-after analysis demonstrates an increase in documentation of clinical scores from 3.5% to 24.1% (P<.001), which also showed a statistically significant level change on ITS analysis (P=.028). In Period 2, before-and-after analysis showed further increases in ordering of acute disease flare lab tests (47.6% to 65.8%, P <.001), including the biomarker fecal calprotectin (27.9% to 37.3%, P=.028), and stool culture testing (54.6% to 66.9%, P=.005), the latter which is a test used to distinguish a flare from an infectious disease. There were no significant slope or level changes on ITS analyses in Period 2. The overall provider adoption rate was moderate at approximately 25%, with greater adoption by nurse providers (used in 30.5% of flare encounters) than physicians (used in 6.7% of flare encounters).

Conclusions:

This is one of the first studies to investigate the implementation of a CDSS for IBD designed with a leading EMR software (Epic Systems, Verona, WI, USA), providing initial evidence of an improvement over routine care. Several areas for future research were identified, notably the effect of CDSS on outcomes, and how to design CDSS with greater utility for physicians. CDSS for IBD should also be evaluated on a larger scale, which can be facilitated by regional and national centralized EMR systems.


 Citation

Please cite as:

Sutton RT, Chappell KD, Pincock D, Sadowski D, Baumgart DC, Kroeker KI

The Effect of an Electronic Medical Record–Based Clinical Decision Support System on Adherence to Clinical Protocols in Inflammatory Bowel Disease Care: Interrupted Time Series Study

JMIR Med Inform 2024;12:e55314

DOI: 10.2196/55314

PMID: 38533825

PMCID: 11004614

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