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

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.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Community Health Sciences

Grantor dc:publisher.institution

Graduate Studies

Year dc:date.issued

2014

Author dc:creator

• Khokhar, Bushra

Advisor dc:contributor.advisor

• Rabi, Doreen

• Epidemiology
• Public Health

Statement dc:rights

• University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.

Language dc:language.iso

eng

DOI

http://dx.doi.org/10.11575/PRISM/26093

OAI identifier oai:identifier

oai:ucalgary.scholaris.ca:11023/1838