{"id":{"repo_id":"calgary","oai_identifier":"oai:ucalgary.scholaris.ca:11023/1064"},"canonical_url":"https://search.dev.ndltd.org/etd/calgary/oai:ucalgary.scholaris.ca:11023/1064","repository":{"repo_id":"calgary","name":"University of Calgary","base_url":"https://ucalgary.scholaris.ca/server/oai/request"},"display":{"title":"Administrative Coding of Type 1 and Type 2 Diabetes: Assessment of Validity and Implications of Coding Practices ob Outcome Evaluation","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","abstract_html":"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","abstract_has_math":false,"creators":["Burs, Simona"],"institution":"Graduate Studies","degree_name":"Master of Science (MSc)","degree_level":null,"degree_discipline":"Community Health Sciences","degree_department":null,"school":null,"contributors":[],"advisors":["Rabi, Doreen","Ghali, William"],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-10-01","date_published":"2013-10-01","updated_at":"2026-07-24T01:30:15Z","subjects":["Public Health"],"languages":["eng"],"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."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["http://dx.doi.org/10.11575/PRISM/24712"],"render_values":[{"text":"http://dx.doi.org/10.11575/PRISM/24712","href":"http://dx.doi.org/10.11575/PRISM/24712","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/11023/1064","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Rabi, Doreen","Ghali, William"]},{"key":"dc:creator","label":"Author","values":["Burs, Simona"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2013-10-01T22:25:28Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2013-11-12T08:00:19Z"]},{"key":"dc:date.issued","label":"Date","values":["2013-10-01"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Calgary"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Community Health Sciences"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MSc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Calgary"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Public Health"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["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."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["http://dx.doi.org/10.11575/PRISM/24712"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11023/1064"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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"]},{"key":"dc:title","label":"Title","values":["Administrative Coding of Type 1 and Type 2 Diabetes: Assessment of Validity and Implications of Coding Practices ob Outcome Evaluation"]}]}],"canonical_facts":{"dc:contributor.advisor":["Rabi, Doreen","Ghali, William"],"dc:creator":["Burs, Simona"],"dc:date.accessioned":["2013-10-01T22:25:28Z"],"dc:date.available":["2013-11-12T08:00:19Z"],"dc:date.issued":["2013-10-01"],"dc:description.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. 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For uses that are not allowable under copyright legislation or licensing, you are required to seek permission."],"dc:subject":["Public Health"],"dc:title":["Administrative Coding of Type 1 and Type 2 Diabetes: Assessment of Validity and Implications of Coding Practices ob Outcome Evaluation"],"dc:type":["master thesis"],"thesis:degree_discipline":["Community Health Sciences"],"thesis:degree_name":["Master of Science (MSc)"],"thesis:institution_name":["University of Calgary"]},"updated_at":"2026-07-24T01:30:15Z"}