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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/32337

Title: Predictors of Hospitalization Among Cystic Fibrosis Patients in Ontario
Authors: Stephenson, Anne
Advisor: Hux, Janet
Corey, Mary
Department: Health Policy, Management and Evaluation
Keywords: cystic fibrosis
health services utilization
Issue Date: 27-Mar-2012
Abstract: This dissertation involved linking a clinical cystic fibrosis (CF) data registry with administrative databases to evaluate clinical, demographic, and geographical predictors of hospitalization in CF patients living in Ontario over a 10 year period. In addition, this work assessed the ability of administrative data to identify individuals with CF using the clinical registry as the reference standard. Sex was an independent predictor of hospitalization rates for individuals with CF. Females had a significantly higher hospitalization rate compared to males even after adjusting for important clinical factors suggesting that this finding is not simply due to worse CF disease. In those between 7 and 19 years of age, the adjusted hospitalization rate was 38% higher in females (rate ratio[RR] 1.38, 95% confidence interval [CI] 1.11-1.73). Similarly in those over the age of 19, females had a 30% higher hospitalization rate compared to males (RR 1.30, 95% CI 1.06-1.59). Other significant predictors associated with higher hospitalization rates in both age groups were lower lung function, worse nutritional status, pancreatic insufficiency, and the presence of CF-related diabetes. The presence of Burkholderia cepacia complex in the sputum was a significant predictor in those over the age of 19 years (RR 1.54, 95% CI 1.26-1.89). Distance to CF centre, community size and socioeconomic status were not significant predictors of hospitalization rates in either age group. There was no significant trend in hospitalization rates over time once rates were adjusted for markers of disease severity (p=0.08). Comparing administrative data with the CF registry data, administrative data captured hospitalizations more comprehensively. Despite CF being a specific diagnosis, health administrative databases alone were insufficient to reliably and accurately identify individuals with CF unless they had been hospitalized. The reason for the gender disparity seen within this dissertation is likely multifactorial. There may be differences in outpatient management between the sexes, hormonal influences may modulate disease severity causing higher hospitalization rates, and patient and provider-level influences may affect the decision to hospitalize a patient. Further research is needed in this area to elucidate the factors contributing to this gender gap.
URI: http://hdl.handle.net/1807/32337
Appears in Collections:Doctoral

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