TY - JOUR T1 - Senior high-cost healthcare users’ resource utilization and outcomes: a protocol of a retrospective matched cohort study in Canada JF - BMJ Open JO - BMJ Open DO - 10.1136/bmjopen-2017-018488 VL - 7 IS - 12 SP - e018488 AU - Sergei Muratov AU - Justin Lee AU - Anne Holbrook AU - J Michael Paterson AU - Jason Robert Guertin AU - Lawrence Mbuagbaw AU - Tara Gomes AU - Wayne Khuu AU - Priscila Pequeno AU - Andrew P Costa AU - Jean-Eric Tarride Y1 - 2017/12/01 UR - http://bmjopen.bmj.com/content/7/12/e018488.abstract N2 - Introduction Senior high-cost users (HCUs) are estimated to represent 60% of all HCUs in Ontario, Canada’s most populous province. To improve our understanding of individual and health system characteristics related to senior HCUs, we will examine incident senior HCUs to determine their incremental healthcare utilisation and costs, characteristics of index hospitalisation episodes, mortality and their regional variation across Ontario.Methods and analysis A retrospective, population-based cohort study using administrative healthcare records will be used. Incident senior HCUs will be defined as Ontarians aged ≥66 years who were in the top 5% of healthcare cost users during fiscal year 2013 but not during fiscal year 2012. Each HCU will be matched to three non-HCUs by age, sex and health planning region. Incremental healthcare use and costs will be determined using the method of recycled predictions. We will apply multivariable logistic regression to determine patient and health service factors associated with index hospitalisation and inhospital mortality during the incident year. The most common causes of admission will be identified and contrasted with the most expensive hospitalised conditions. We will also calculate the ratio of inpatient costs incurred through admissions of ambulatory care sensitive conditions to the total inpatient expenditures. The magnitude of variation in costs and health service utilisation will be established by calculating the extremal quotient, the coefficient of variation and the Gini mean difference for estimates obtained through multilevel regression analyses.Ethics and dissemination This study has been approved by Hamilton Integrated Research Ethics Board (ID#1715-C). The results of the study will be distributed through peer-reviewed journals. They also will be disseminated at research events in academic settings, national and international conferences as well as with presentations to provincial health authorities. ER -