Identifying Breast Cancer Recurrence in Administrative Data: Algorithm Development and Validation.

Breast cancer recurrence is an important outcome for patients and healthcare systems, but it is not routinely reported in cancer registries. We developed an algorithm to identify patients who experienced recurrence or a second case of primary breast cancer (combined as a "second breast cancer event") using administrative data from the population of Ontario, Canada. A retrospective cohort study design was used including patients diagnosed with stage 0-III breast cancer in the Ontario Cancer Registry between 1 January 2009 and 31 December 2012 and alive six months post-diagnosis.

Development of population-level colon cancer pathway concordance measures and association with survival.

Clinical cancer pathways help standardize healthcare delivery to optimize patient outcomes and health system costs. However, population-level measurement of concordance between standardized pathways and actual care received is lacking. Two measures of pathway concordance were developed for a simplified colon cancer pathway map for Stage II-III colon cancer patients in Ontario, Canada: a cumulative count of concordant events (CCCE) and the Levenshtein algorithm.

Trends of Dementia among Community-Dwelling Adults in Ontario, Canada, 2010-2015.

Background: There are increasing numbers of people living with dementia (PLWD) and most reside in community settings. Characterizing the number of individuals affected with dementia and their transitions are important to understand in order to plan for their healthcare needs. Using administrative health data in Ontario, Canada, we examined recent trends in the prevalence and incidence of dementia among the community-dwelling population, described their characteristics, and investigated admissions to long-term care (LTC) and overall survival.

Forecasting Ontario Oncology Drug Expenditures: A Hybrid Approach to Improving Accuracy.

Background: The Provincial Drug Reimbursement Program (PDRP) at Cancer Care Ontario (CCO) is responsible for monitoring actual and projected outpatient intravenous cancer drug spending in the province. We developed a hybrid forecasting approach combining automated time-series forecasting with expert-customizable input.

Objective: Our objectives were to provide a flexible tool in which to incorporate multiple forecasts and to improve the accuracy of the resulting forecast.

Regional Variation in Palliative Care Receipt in Ontario, Canada.

Delivery of health services in the province of Ontario is organized into 14 Local Health Integration Networks (LHINs), and further into 76 LHIN subregions, making these a natural unit of comparing the regional differences in palliative care receipt among decedents who were identified as having palliative care needs. To assess the presence and magnitude of the remaining regional variation in palliative care receipt in Ontario after accounting for demographic and socioeconomic differences between the LHIN subregions, and therefore to assess whether the standardized proportion of palliative care receipt as a performance indicator can capture potential performance-related issues. A retrospective cohort study based on Ontario administrative data sources.

Strategic analytics: towards fully embedding evidence in healthcare decision-making.

Cancer Care Ontario (CCO) has implemented multiple information technology solutions and collected health-system data to support its programs. There is now an opportunity to leverage these data and perform advanced end-to-end analytics that inform decisions around improving health-system performance. In 2014, CCO engaged in an extensive assessment of its current data capacity and capability, with the intent to drive increased use of data for evidence-based decision-making.