Selecting high priority quality measures for breast cancer quality improvement
Med Care. 2008 Aug;46(8):762-70.
Abstract Background: Although many quality measures have been created, there is no consensus regarding which are the most important. We sought to develop a simple, explicit strategy for prioritizing breast cancer quality measures based on their potential to highlight areas where quality improvement efforts could most impact a population. Methods: Using performance data for 9019 breast cancer patients treated at 10 National Comprehensive Cancer Network institutions, we assessed concordance relative to 30 reliable, valid breast cancer process-based treatment measures. We identified 4 attributes that indicated there was room for improvement and characterized the extent of burden imposed by failing to follow each measure: number of nonconcordant patients, concordance across all institutions, highest concordance at any I institution, and magnitude of benefit associated with concordant care. For each measure, we used data from the concordance analyses to derive the first 3 attributes and surveyed expert breast cancer physicians to estimate the fourth. A simple algorithm incorporated these attributes and produced a final score for each measure; these scores were used to rank the measures. Results: We successfully prioritized quality measures using explicit, objective methods and actual performance data. The number of nonconcordant patients had the greatest influence on the rankings. The highest-ranking measures recommended chemotherapy and hormone therapy for hormone-receptor positive tumors and radiation therapy after breast-conserving surgery. Conclusions: This simple, explicit approach is a significant departure from methods used previously, and effectively identifies breast cancer quality measures that have broad clinical relevance. System-atically prioritizing quality measures could increase the efficiency and efficacy of quality improvement efforts and substantially improve outcomes.