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Related Experiment Video

Updated: May 19, 2025

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Leveraging real-world data for continuous evaluation of computational clinical practice guidelines.

Kees C W J Ebben1,2, Cornelis D de Kroon3, Channa E Schmeink4

  • 1Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands k.ebben@iknl.nl.

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Summary

This study evaluated adherence to Dutch endometrial cancer (EC) guidelines using real-world data. A novel framework demonstrated feasibility in assessing guideline compliance and trends in clinical practice.

Keywords:
Common Data ElementsDecision TreesElectronic Data ProcessingHealth Information InteroperabilityMedical Informatics Computing

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Area of Science:

  • Oncology
  • Health Informatics
  • Clinical Practice Guidelines

Background:

  • Clinical practice guidelines (CPGs) and clinical care have a bidirectional relationship, necessitating methods for monitoring guideline adherence.
  • Advancements in computable CPGs enable automated evaluation using real-world registry data.
  • Assessing adherence to Dutch endometrial cancer (EC) guidelines is crucial for improving care.

Purpose of the Study:

  • To evaluate the feasibility of using real-world registry data to assess adherence to Dutch EC guidelines.
  • To establish a framework for continuous monitoring of guideline adherence and trends.
  • To identify factors influencing adherence to EC guidelines.

Main Methods:

  • A retrospective cohort study utilizing real-world data from the Netherlands Cancer Registry (NCR) (January 2010 - May 2022).
  • The Dutch EC guideline was translated into clinical decision trees (CDTs).
  • Guideline adherence was computed for various patient and disease subgroups.

Main Results:

  • The Dutch EC guideline was parsed into 10 CDTs, encompassing 22 patient/disease characteristics and 46 interventions.
  • Data from 21,602 EC cases were analyzed, with four CDTs successfully populated.
  • Mean adherence was 82.7% (range 44-100%), with three significant adherence trends identified.

Conclusions:

  • A novel framework for continuous evaluation of adherence to cancer guidelines was introduced.
  • Integration of real-world data with computer-interpretable guidelines effectively calculated adherence facets for EC.
  • Future research should incorporate health outcome measurements into adherence evaluations.