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

Simple item page
atmire.migration.oldid2639
dc.contributor.advisorRabi, Doreen
dc.contributor.authorKhokhar, Bushra
dc.date.accessioned2014-09-29T18:14:45Z
dc.date.available2014-11-17T08:00:50Z
dc.date.issued2014-09-29
dc.date.submitted2014en
dc.description.abstractRationale: 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.en_US
dc.identifier.citationKhokhar, 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/26093en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26093
dc.identifier.urihttp://hdl.handle.net/11023/1838
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity 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.
dc.subjectEpidemiology
dc.subjectPublic Health
dc.subject.classificationDiabetesen_US
dc.subject.classificationInternational Classification of Diseasesen_US
dc.subject.classificationICD Codesen_US
dc.subject.classificationRead Codesen_US
dc.subject.classificationThe Health Improvement Networken_US
dc.titleExploring Novel Diabetes Surveillance Methods: A Comparison of Administrative, Laboratory and Pharmacy Data Case Definitions
dc.typemaster thesis
thesis.degree.disciplineCommunity Health Sciences
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ucalgary_2014_khokhar_bushra.pdf
Size:
1.85 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.65 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Theses and Dissertations