Exploring Novel Diabetes Surveillance Methods: A Comparison of Administrative, Laboratory and Pharmacy Data Case Definitions
atmire.migration.oldid | 2639 | |
dc.contributor.advisor | Rabi, Doreen | |
dc.contributor.author | Khokhar, Bushra | |
dc.date.accessioned | 2014-09-29T18:14:45Z | |
dc.date.available | 2014-11-17T08:00:50Z | |
dc.date.issued | 2014-09-29 | |
dc.date.submitted | 2014 | en |
dc.description.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. | en_US |
dc.identifier.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 | en_US |
dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/26093 | |
dc.identifier.uri | http://hdl.handle.net/11023/1838 | |
dc.language.iso | eng | |
dc.publisher.faculty | Graduate Studies | |
dc.publisher.institution | University of Calgary | en |
dc.publisher.place | Calgary | en |
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. | |
dc.subject | Epidemiology | |
dc.subject | Public Health | |
dc.subject.classification | Diabetes | en_US |
dc.subject.classification | International Classification of Diseases | en_US |
dc.subject.classification | ICD Codes | en_US |
dc.subject.classification | Read Codes | en_US |
dc.subject.classification | The Health Improvement Network | en_US |
dc.title | Exploring Novel Diabetes Surveillance Methods: A Comparison of Administrative, Laboratory and Pharmacy Data Case Definitions | |
dc.type | master thesis | |
thesis.degree.discipline | Community Health Sciences | |
thesis.degree.grantor | University of Calgary | |
thesis.degree.name | Master of Science (MSc) | |
ucalgary.item.requestcopy | true |