Quality indicators for end-of-life breast cancer care: Testing the use of administrative databases

Abstract

6066 Background: Defining, measuring and monitoring quality of care is a facet of health services research that is growing in importance. Breast cancer offers a disease model to examine quality end-of-life (EOL) care provided to women. Administrative data have the unique potential to provide population-based measures of quality of care. The objective of this study was to assess the feasibility of using routinely-collected administrative data to measure quality EOL care for breast cancer patients. Methods: A cohort of all women in Nova Scotia who died of breast cancer between 01/01/1998 and 31/12/2002 was assembled from the Cancer Registry and Vital Statistics data. The EOL study period was defined as the last 6 months of life. A total of 864 women met the eligibility criteria. After a literature review, an expert panel identified 19 indicators that were potentially measurable through administrative data. Physician billings, hospital discharge abstracts and seniors pharmacare data, supplemented by clinical datasets, were utilized to calculate the statistics with which to represent the indicators. Results: Benchmark measures of care across the cohort show 63.4% died in a hospital, a mean continuity of care index of 0.786, and the mean number of inpatient days in the last 30 was 9.9. Indicators of aggressive care include 9.3% had chemotherapy in the last 14 days, 5.6% had more than 1 emergency room visit in the last 30 days, and 29.1% had more than 14 inpatient days in the last 30 days. Conclusions: Weaknesses of using these data include: 1) fixed variables with an administrative rather than a clinical objective; 2) lack of comprehensiveness of various datasets; and 3) the use of billings data where increasingly physicians are paid through methods other than fee-for-service. Strengths of this approach are: 1) population-based cohort; 2) comprehensiveness of cohort selection through the provincial Vital Statistics file; and 3) accessibility of data. No significant financial relationships to disclose.