Outcome and Resource Use of Patients with Liver Disease: Analysis of Chinese Electronic Medical Records

Researches aiming to improve health care quality, such as the outcome studies of liver diseases, require large databases and rich case mix information to incorporate severity assessment and risk adjustment in order to generate robust results. Researchers worldwide have recognized the potential value of electronic medical record (EMR) and tremendous efforts are underway to advance outcome research using EMR. Chinese EMR provides us a unique chance for analysis of the outcome and resource use of liver disease given the high prevalence of liver disease and widely-used EMR in China. The aim of this thesis was to analyze the outcome and resource use of patients with liver disease through appropriate risk adjustment using information extracted from Chinese EMR. Three studies were conducted to achieve the aim of this thesis. The first study was to develop and validate an EMR data extraction method to define clinical conditions, including liver diseases, comorbidities, and treatments. The research from this initial study demonstrated that the data extraction method had high validity and had the potential to be applied to other Chinese EMRs following our framework. The second study aimed to compare statistical performance of the commonly used risk adjustment methods for liver diseases. The study concluded that liver-specific severity scoring methods outperformed the comorbidity methods in predicting in-hospital mortality using a large Chinese EMR database. Combining severity and comorbidity scoring assessments could improve the risk adjustment performance. The third study examined the impact of financial factors on outcome and healthcare resource use. We tested the effect of patient’s cost sharing (reimbursement ratio) on in-hospital mortality, hospital length of stay, total and medication costs in hospital, and use of major procedures after controlling for potential confounding variables. An association was found between the cost-sharing model and healthcare resource use and cost. This research has proposed a validated data extraction method for Chinese EMR, provided evidence for appropriate implementation of common risk adjustment methods in analysis of outcome for liver disease, and offered us insight into the impact of financial incentives on health utilization, cost, and outcome.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Discipline thesis:degree_discipline

Medical Science

Grantor dc:publisher.institution

Graduate Studies

Year dc:date.issued

2016

Author dc:creator

• Xu, Yuan Jr

Advisors dc:contributor.advisor

• Quan, Hude Jr
• Li, Ning Jr

Committee members dc:contributor.committeemember

• Lu, Mingshan Jr
• Dixon, Elijah Jr
• Myers, Robert Jr

• Bioinformatics
• Biophysics--Medical
• Epidemiology
• Health Care Management

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/27238

OAI identifier oai:identifier

oai:ucalgary.scholaris.ca:11023/3464