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Racial Disparities in Patient Safety Indicator

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Moving Patient Safety Improvement Practices to the Next Level: Closing the Organizational Learning Loop Academy Health Annual Research Meeting June 3, 2007 Orlando, FL Peter E. Rivard, Ph.D.1,2 Victoria A. Parker, D.B.A. 1,2 Amy K. Rosen, Ph.D. 2 1. 2. VA Center for Organization, Leadership and Management Research (COLMR), Boston, MA VA Center for Healthcare Quality, Outcomes and Economics Research (CHQOER), Bedford, MA Supported by grant number IIR-02-144-1, the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development (HSR&D) Service, and the Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization and Markets. Overview • Patient safety improvement process follows Quality Improvement (QI) cycle: Plan-Do-Study-Act • How do hospitals “Study” (evaluate) their patient safety initiatives? • Case studies (qualitative): 3 VA hospitals • Implications for research and practice Background: Patient Safety in the VA • VA & National Center for Patient Safety (NCPS) recognized for patient safety initiatives • QI approaches to safety improvement: – Root Cause Analysis (RCA) – Healthcare Failure Mode Effects Analyses (HFMEA) • VA Patient Safety Indicators (PSI) Study – Feasibility of using AHRQ PSIs in VA – Site visits explored variation in safety improvement practices Research Questions • General question: Are there systematic facility-level approaches to error detection and prevention that may account for lower PSI rates? • Specific question: Are there facility-level differences in evaluation of patient safety improvement initiatives? Methods: Site Selection • Population: all VA acute inpatient facilities (N=127) • Theoretical sampling • Selection criteria: FY 2004 PSI rates & geographic diversity • AHRQ PSIs: proxy for patient safety outcomes – Use administrative data – Rates of potentially preventable adverse events – Mean of hospital’s within-VA rank on 11 PSIs • 3 Sites selected – 1. Consistently high (unfavorable) PSI rates – 2. Most rates near VA median – 3. Consistently low (favorable) PSI rates Methods: Interviews • Site visits June-September 2005 • Interviews: – Interviewers & interviewees blinded to site PSI rates – Interviewed executives, managers, non-managers – One-hour interviews; semi-structured – Interviews recorded & transcribed • Data: – Transcripts coded using qualitative software (NVivo) – Coded for a priori constructs and emergent themes – Within-case & cross-case comparison Results: Two Levels of Evaluation • Project evaluation: improvement efforts that target a particular structure, process or outcome e.g., handwashing or falls reduction – Implemented as planned? – Changes in practice or process? – Changes in event rates or other outcomes? • Program evaluation: of patient safety improvement program, cutting across projects e.g., data collection or Root Cause Analysis process Results: Project Evaluation Consistent across sites: • All forms of project evaluation occurred at all sites • No site perfect: staff reported gaps in follow-up at all sites Variation across sites: • Apparent quantity of project evaluation • Emphasis on measurement and trends Results: Program Evaluation Site 1 • Least evidence of program evaluation: in “start-up” mode • Structure: – Hire patient safety support staff – Develop event reporting channels – Set RCA process • Culture: – Sell patient safety improvement – Reduce fear of blame in order to increase reporting Results: Program Evaluation Site 2 • Inadequate improvement action and follow-through  More measurement Increase executive oversight & involvement Increase accountability by units Report status & results back to staff • Gaps in reporting, e.g., residents not reporting events  Facilitate event reporting by residents; educate them • Summary: – Using increased measurement and centralized control to institutionalize patient safety improvement; – Now that reporting is occurring in general, addressing gaps in reporting. Results: Program Evaluation Site 3 • Pockets of resistance  Strategic use of RCAs - educate “late adopters” & gain buy-in • Some RCAs narrowly focused on clinical practice  Re-frame RCA data presentation • Need QI staff to focus on program improvement  Shift routine monitoring back to units • Measurement fatigue  Prioritize certain measures; “retire” others • Staff frustration that successes are on-paper only  Project evaluation = dialog Results: Program Evaluation Site 3 Summary: • Fine-tuning aspects of the process, e.g., shared meaning of RCA • “Post-centralization”: shifting responisibility back to departments • “Post-measurement”: – addressing measurement fatigue; – evaluating projects in qualitative and dialogic ways Discussion Organizational learning for patient safety improvement occurred at multiple levels • First-order: Did the project achieve the desired changes in structure, process, and/or outcomes? • Second-order (Argyris & Schon 1996): – Are we doing the right projects? – How can we improve our patient safety improvement processes? Greater variation among sites was in program evaluation Implications for Future Research Program evaluation variation across sites: – More evaluation associated with more favorable PSI rates – Qualitative differences in nature of program evaluation Does program evaluation and improvement affect patient safety? Implications for Future Research Do patient safety improvement programs follow a developmental path? Organizational learning and stages of organizational design for safety (Carroll & Rudolph 2006): “Local” Stage: Improve individual skills & Unit-level routines “Control” Stage: Centralization, standardization “Open” Stage: Cross-function & cross-discipline collaboration Implications for Practice • PSIs as indicators of patient safety program performance • Patient safety improvement: – More (projects) isn’t necessarily better (Weiner, Alexander et al 2006) – Program improvement may be key • Continual program improvement: dynamic capabilities (Zolla & Winter 2002) • Program integration (Weiner, Alexander et al 2006)

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