Exploring Novel Diabetes Surveillance Methods: A Comparison of Administrative, Laboratory and Pharmacy Data Case Definitions

Date
2014-09-29
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Abstract
Rationale: There are several ways to potentially identify diabetes for the purpose of surveillance and hence it is crucial to understand the validity of these approaches. This thesis systematically reviewed population-based studies validating ICD-9 and ICD-10 codes reporting on sensitivity, specificity and PPV of case definitions. Data from THIN was used to study demographic differences of the populations being captured using different case definitions. Methods: Electronic databases were systematically searched for validation studies where an administrative case definition of diabetes was validated and test measures reported. The second sub-study used a large EMR to compare different case definitions of diabetes with respect to the number of cases identified and characteristics of each cohort. Conclusion: This thesis demonstrates that the validity of commonly used case definitions varies significantly. Whether using administrative or clinical data, this work illustrates the importance of using multiple data sources to effectively capture individuals with diabetes.
Description
Keywords
Epidemiology, Public Health
Citation
Khokhar, B. (2014). Exploring Novel Diabetes Surveillance Methods: A Comparison of Administrative, Laboratory and Pharmacy Data Case Definitions (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26093