Development of International Indicators for Assessing the Quality of ICD-coded Administrative Health Data

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dc.contributor.advisorQuan, Hude
dc.contributor.advisorEastwood, Cathy A.
dc.contributor.authorOtero Varela, Lucia
dc.contributor.committeememberWalker, Robin L.
dc.contributor.committeememberLeal, Jenine R.
dc.date2021-02
dc.date.accessioned2021-01-06T20:02:57Z
dc.date.available2021-01-06T20:02:57Z
dc.date.issued2020-12-22
dc.description.abstractIntroduction: Health data are generated at each patient encounter with the healthcare system worldwide, then collected and stored as administrative health data. As an example, inpatient data are coded in the hospital morbidity database using the International Classification of Diseases (ICD), which is a reference standard for reporting diseases and health conditions globally. The quality of ICD-coded data is affected by multiple factors, such as worldwide variations in ICD use and its meta-features across countries, which can hinder meaningful comparisons of morbidity data. Assessing data quality is therefore essential for the ultimate goal of improving it. Given the current lack of an international approach for, we aimed to develop a standardized method for assessing hospital morbidity data quality. Methods: First, we conducted an international online questionnaire to better understand the differences in coding practices and hospital data collection systems across countries. Second, through the combination of a comprehensive environmental scan and a Delphi consensus process, we developed a set of global data quality indicators (DQIs) for the hospital morbidity database. Results: The international questionnaire revealed variances in all aspects of ICD data collection features, including: the maximum number of coding fields allowed for diagnosis and interventions, the definition of main condition, as well as the data fields that are mandatory to capture in the hospital morbidity database. The Delphi exercise resulted in 24 DQIs, encompassing five dimensions of data quality (e.g., Relevance, Accuracy and reliability, Comparability and coherence, Timeliness, and Accessibility and clarity), and can be used to assess data quality using the same standard across countries and to highlight areas in need of improvement. Conclusion: Emphasis should be placed on standardizing ICD data collection systems and enhancing the quality of ICD-coded data. These findings could facilitate international comparisons of health data and data quality, and could serve as a guidance for policy- and decision-makers worldwide.en_US
dc.identifier.citationOtero Varela, L. (2020). Development of International Indicators for Assessing the Quality of ICD-coded Administrative Health Data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38514
dc.identifier.urihttp://hdl.handle.net/1880/112922
dc.language.isoengen_US
dc.publisher.facultyCumming School of Medicineen_US
dc.publisher.institutionUniversity of Calgaryen
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.en_US
dc.subjectdata qualityen_US
dc.subjectadministrative health dataen_US
dc.subjectinternational classification of diseasesen_US
dc.subjectinternational comparabilityen_US
dc.subjectquality assessmenten_US
dc.subject.classificationEducation--Healthen_US
dc.subject.classificationHealth Sciencesen_US
dc.subject.classificationEngineering--Biomedicalen_US
dc.titleDevelopment of International Indicators for Assessing the Quality of ICD-coded Administrative Health Dataen_US
dc.typemaster thesisen_US
thesis.degree.disciplineMedicine – Community Health Sciencesen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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