Predictive risk modelling of high resource users under different prescription drug coverage policies in Ontario and Manitoba, Canada

Autor: Kathy Kornas, Joykrishna Sarkar, Randall Fransoo, Laura C. Rosella
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Health Services Research, Vol 23, Iss 1, Pp 1-11 (2023)
Druh dokumentu: article
ISSN: 1472-6963
DOI: 10.1186/s12913-023-09722-y
Popis: Abstract Introduction Studying high resource users (HRUs) across jurisdictions is a challenge due to variation in data availability and health services coverage. In Canada, coverage for pharmaceuticals varies across provinces under a mix of public and private plans, which has implications for ascertaining HRUs. We examined sociodemographic and behavioural predictors of HRUs in the presence of different prescription drug coverages in the provinces of Manitoba and Ontario. Methods Linked Canadian Community Health Surveys were used to create two cohorts of respondents from Ontario (n = 58,617, cycles 2005–2008) and Manitoba (n = 10,504, cycles 2007–2010). HRUs (top 5%) were identified by calculating health care utilization 5 years following interview date and computing all costs in the linked administrative databases, with three approaches used to include drug costs: (1) costs paid for by the provincial payer under age-based coverage; (2) costs paid for by the provincial payer under income-based coverage; (3) total costs regardless of the payer (publicly insured, privately insured, and out-of-pocket). Logistic regression estimated the association between sociodemographic, health, and behavioral predictors on HRU risk. Results The strength of the association between age (≥ 80 vs.
Databáze: Directory of Open Access Journals
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