Administrative Coding of Type 1 and Type 2 Diabetes: Assessment of Validity and Implications of Coding Practices ob Outcome Evaluation
Date
2013-10-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Rationale: Administrative coding of diabetes mellitus is a difficult task.
Objectives: to evaluate misclassification of diabetes status and type, examine contributors to classification uncertainty and explore how difficult cases are perceived by health professionals.
Methods: A chart review was performed to validate coding of diabetes type in two data sources. The presence or absence of key clinical information and documentation deficiencies were evaluated. Health professionals were surveyed regarding classification of uncertain cases.
Results: 1) Misclassification of diabetes status and type were higher in APPROACH (7.1% and 6.4%) than in ICD-10 (3.6% and 4.3%); 2) treatment with insulin was associated with classification uncertainty (Χ2=36.16; p<0.001); 3) documentation deficiencies were prevalent and were higher in the uncertain classification group (30% vs. 18%).
Conclusions: This thesis highlights some elements related to diabetes misclassification. Clear documentation by physicians is required to improve administrative coding of diabetes. Improving administrative data quality may lead to improved outcomes.
Keywords: administrative coding, diabetes mellitus, misclassification, insulin
Description
Keywords
Public Health
Citation
Burs, S. (2013). Administrative Coding of Type 1 and Type 2 Diabetes: Assessment of Validity and Implications of Coding Practices ob Outcome Evaluation (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24712