Quality of care during active surveillance in low-risk prostate cancer patients: A population-based approach.

Authors

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Narhari Timilshina

University of Toronto, Toronto, ON, Canada

Narhari Timilshina, Antonio Finelli, George A. Tomlinson, Beate Sander, Shabbir M.H. Alibhai

Organizations

University of Toronto, Toronto, ON, Canada, University Health Network, Toronto, ON, Canada, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

Research Funding

Other

Background: Active surveillance (AS) has become a widely accepted management strategy for low-risk (Gleason score ≤6) prostate cancer (PC). Given the large proportion of low-risk PC (60-90%) patients who currently receive AS, adherence to clinical guidelines on AS and variations in care at the population level remain surprisingly poorly understood. Further, it is presently unclear how often patients receive high quality AS care in community settings (almost all published data come from academic centers), yet the majority of AS occurs in community settings. Thus, there is significant interest in developing system-level quality indicators (QIs). We sought to develop structure-process-outcome-based QIs to enable benchmarking during AS follow-up using data available in Canadian administrative databases. Methods: We performed a detailed literature search on QIs in PC as well as broader theoretical concepts on QIs and consulted with clinical leaders from a major cancer centre. Current guidelines on AS and potential quality indicators were identified from a literature search. AS-specific QIs were tested among low-risk PC who were managed with AS between 2002-2011 using population-level cancer registry databases. We assessed adherence to clinical guidelines using QIs, and compared with health care system-related characteristics. Results: 25 indicators were proposed [structure of care (n = 5), process of care (n = 16) and health outcomes (n = 4)]. Overall 39% received AS, with 88% managed by a urologist. Only 43% of low volume (≤3 positive cores) patients underwent AS. Adherence of confirmatory biopsy with guidelines was performed on only 32% of patients, and adherence was better in higher volume institutions, among higher volume physicians, and in cancer centers. 5-and 10-year PC specific survival were significantly better among high volume physicians. Conclusions: We have proposed a set of QIs for measuring AS care. Initial data show that higher volume institution or higher volume physician and cancer center had better adherence to quality of AS care. Long term survival was better among patients treated by high volume physicians. Further validation of these QIs is ongoing.

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Abstract Details

Meeting

2018 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session A: Big Data Studies; Projects Relating to Equity, Value, and Policy

Track

Projects Relating to Equity, Value and Policy,Big Data Studies

Sub Track

Studies Using Existing Registries or Databases cd

Citation

J Clin Oncol 36, 2018 (suppl 30; abstr 16)

DOI

10.1200/JCO.2018.36.30_suppl.16

Abstract #

16

Poster Bd #

D2

Abstract Disclosures

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