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Related Experiment Video

Updated: Jun 21, 2025

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Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review.

Angela Kuang1, Claire Xu1, Danielle A Southern2

  • 1Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada.

Journal of Epidemiology and Population Health
|July 6, 2024
PubMed
Summary

This review found many validated algorithms using the International Classification of Diseases, 10th Revision (ICD-10) for identifying chronic conditions in health administrative data. These algorithms are crucial for research and public health surveillance globally.

Keywords:
Administrative data, ICD-10AlgorithmsCase-definitionsChronic conditionsValidation

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Area of Science:

  • Health Informatics
  • Epidemiology
  • Public Health

Background:

  • Accurate identification of chronic conditions using health administrative data is essential for research and surveillance.
  • Validated algorithms are needed to ensure the reliability of data derived from administrative sources.

Approach:

  • A systematic literature search was conducted across multiple databases (Ovid MEDLINE, Embase, PsycINFO, Web of Science, CINAHL) from 1983 to May 2023.
  • Studies were screened by two independent reviewers, with a third reviewer resolving conflicts.
  • Inclusion criteria focused on International Classification of Diseases, 10th Revision (ICD-10) based algorithms with high sensitivity and positive predictive value (PPV) (≥70%).

Key Points:

  • 61 studies met the inclusion criteria, identifying validated algorithms for 40 chronic conditions with high validity and 22 with moderate validity.
  • Algorithms were based on administrative data from diverse countries, including Canada, USA, Australia, Japan, France, South Korea, and Taiwan.
  • Identified algorithms covered a range of conditions, including cancers, cardiovascular diseases, kidney diseases, gastrointestinal disorders, and peripheral vascular diseases.

Conclusions:

  • This systematic review provides an up-to-date resource on validated ICD-10 based algorithms for chronic conditions.
  • The findings support the use of these algorithms in research and surveillance initiatives leveraging administrative health data worldwide.
  • The prevalence of ICD-10 coding facilitates global application of these validated methods.