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BC’S LOCAL RISK-ADJUSTED MODEL JANUARY 2012. Background Most BC sites joined NSQIP in mid 2011 1 st NSQIP risk-adjusted semi-annual report – Mar 2012.

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Presentation on theme: "BC’S LOCAL RISK-ADJUSTED MODEL JANUARY 2012. Background Most BC sites joined NSQIP in mid 2011 1 st NSQIP risk-adjusted semi-annual report – Mar 2012."— Presentation transcript:

1 BC’S LOCAL RISK-ADJUSTED MODEL JANUARY 2012

2 Background Most BC sites joined NSQIP in mid 2011 1 st NSQIP risk-adjusted semi-annual report – Mar 2012 2 nd NSQIP risk-adjusted semi-annual report – July 2012 3 rd NSQIP risk-adjusted semi-annual report – Mar 2013 Data analysis using non-risk-adjusted data - SPC chart - customized reports from workstation

3 Background NSQIP’s Semi-annual report limitations and challenges SMH’s attempt in replicating NSQIP’s SAR Jonathan Berkowitz, BSc, MSc, PhD Sauder School of Business, University of British Columbia

4 BC NSQIP Timeline and Important Dates Jan 2012 Doug’s Challenge: Identify 3 areas for improvement Feb 2012 Data Analysis Workshop with Kathy Rowell (Feb 8, 2012) Mar 2012 NSQIP’s SAR Release (Jul 2010-Jun 2011 Data) July 2012 NSQIP Annual Conference in Salt Lake City NSQIP’s SAR Release (Jan- Jun 2011 Data) Nov 2012 Site Update

5 * Includes General and Vascular Surgery Cases Observed Rate: 2.20% Pred. Obs. Rate: 2.48% Expected Rate: 2.75% Odds Ratio: 0.84 Status: Non-Outlier PLAN: Overall Mortality

6 PLAN: Establish a local risk-adjusted model using BC data

7 Advantages Identify local predictors Timely reports - release of BC’s hierarchical odds-ratio report will be ~3 months ahead of NSQIP’s SAR The current program is scheduled to end on Mar 2013. Using NSQIP data alone, sites will receive 2 SAR from NSQIP. Participating sites in the BC Collaborative accelerated plan will receive 5 risk-adjusted reports. Provides valid statistical advice and certified accelerated process that meets statistical requirements in comparing sites in BC A consistent provincial reporting template will be used to foster dialogue between sites, to identify and share best practices leading to improved outcomes.

8 BC NSQIP Timeline and Important Dates Jan 2012 Doug’s Challenge: Identify 3 areas for improvement Feb 2012 Data Analysis Workshop with Kathy Rowell (Feb 8, 2012) Mar 2012 NSQIP’s SAR Release (Jul 2010-Jun 2011 Data) May 2012 1 st BC Local Risk- Adjusted Report (Jan- Dec 2011 Data) Jul 2012 NSQIP Annual Conference in Salt Lake City NSQIP’s SAR Release (Jan-Jun 2011 Data) Oct 2012 2 nd BC Local Risk-Adjusted Report (Jul 2011-Jun 2012 Data) Nov 2012 Update PROPOSED TIMELINE:

9 Expectations Timely submission of data -Data transmission to NSQIP workstation and data cleaning for all 2011 cases done by April 29, 2012 -Submit de-identified data download to BCPSQC by May 1 st, 2012 VOLUNTARY

10 Jonathan Berkowitz, BSc, MSc, PhD Sauder School of Business, University of British Columbia

11 Data, data, data! I cannot make bricks without clay! - Sherlock Holmes

12 SPC Charts

13 Q&A

14 Data Analysis Workshop February 8, 2012 8:30am-4:00pm Delta Airport Hotel Richmond, BC Highlights: 1.Finding QI opportunities in your NSQIP data 2.Communicating NSQIP Data 3.Promoting ideas, identifying project advocates and securing resources

15 Learning Objectives: Improved understanding about the NSQIP dataset, including: Why specific data is captured (intent and purpose of data). Using non risk‐adjusted [and adjusted data] to identify QI opportunities. Techniques to “ask the right questions” when working with the data.

16 Learning Objectives: Improved skills to: Identify project advocates. Identify required and available resources. Improved critical thinking and analytical skills: To search for previously un ‑ seen patterns and trends. To identify the potential causes behind patterns and trends. To discover connections and stories in the data not previously considered.

17 Learning Objectives: Improved communication and data presentation skills: To tell stories with data correctly, clearly and compellingly in reports with tables and graphs and an increased awareness of the power of dashboards To communicate information “at a glance.” Understand of the importance of NSQIP non risk‐adjusted data Concepts of how to communicate non risk‐‐adjusted data.

18 Q&A


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