Improving Patient Safety and Quality in Radiation Oncology
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1 Improving Patient Safety and Quality in Radiation Oncology Bhisham Chera, MD Assistant Professor Director of Patient Safety and Quality Dept. of Radiation Oncology October 25 th, 2013 Primum non nocere First, do no Harm
2 Disclosures UNC Health Care System; financial support Departmental grants: Elekta, Siemens, Accuray, NIH, CDC
3 Key Take Home Points Ø Focus on systems and processes Ø It s the system not the person Ø Leadership buy in is essential (physicians) Ø Changing organizational culture is difficult Ø Empower the front-line staff Ø No blame culture
4 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
5 UNC Approach/Paradigm Lean = to remove waste via work on process while focusing on developing employees Streamline processes Remove ambiguity Improve communication Improve Operational Efficiency Quality Safety Focus on upstream/latent failures It s the process not the person Empower frontline staff Emphasize no blame Understanding that Errors will occur
6 PRELIMINARY DRAFT FOR DISCUSSION PURPOSES ONLY INFORMATION SUBJECT TO CHANGE U N C H E A L T H C A R E S Y S T E M Reason s Swiss Cheese Model of Organizational Error Prevention Organiza2onal Influence Policies & Procedures We need to focus here Latent Failures Unsafe Supervision Inadequate supervision Policy & Procedure viola9ons Latent Failures Precondi2on for Unsafe Act Adverse mental & physiological state/limita9ons Workload/Stress Latent Failures Unsafe Act Ac9ve Failures Near miss (knowledge, skill, or rule- based) Viola9on We tend Courtesy to of focus Robert Adams here 6
7 U N C H E A L T H C A R E S Y S T E M Strategy for Problem Solving Soviet Style Planning/ Problem Solving a few minds telling the workers what to do and how to do it. Courtesy of Lukasz Mazur, PhD Strategy Deployment 1,000 minds identifying and solving problems. Empowering the Front Lines 7
8 U N C H E A L T H C A R E S Y S T E M Chera Semin Radiat Oncol 22:
9 Chera Semin Radiat Oncol 22:77-85
10 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
11 The Problem with Physician Culture Powerful emphasis on perfection Mistakes are unacceptable Infallibility (expected to function without error) Errors are not reported/covered up Blame culture Lessons learned are private (work-arounds) Fear Embarrassment by colleagues Patient reaction Litigation Leape JAMA 1994
12 Societal Perception of Physicians Esteem and Respect Responsibility Trust Honor Societal Servant Leader
13 Most Trusted Professions (Gallup Poll) Rank Nurses Nurses Nurses Nurses Nurses 2 Druggists/ Pharmacists Druggists/ Pharmacists Grade-school teachers Druggists/ Pharmacists Druggists/ Pharmacists 3 Medical doctors Veterinarians Druggists/ Pharmacists High school teachers Medical doctors 4 High school teachers Medical doctors Military officers Medical doctors Police officers 5 Policemen Dentists Medical doctors Policemen Engineers
14 Physicians Unique Knowledge and Clinical Perspectives
15 Leadership? Safety Culture Oil Refinery safety-related interactions total # interactions rate of unsafe behavior* * e.g. electrical grounding procedures, spark-free hand-tools; movement in horizontal and vertical access zones without crossing designated paths Zohar and Luria (2003) J UNC
16 Leadership? Safety Culture Oil Refinery safety-related interactions total # interactions rate of unsafe behavior* * e.g. electrical grounding procedures, spark-free hand-tools; movement in horizontal and vertical access zones without crossing designated paths Canning and Distribution ** e.g. protective gear; housekeeping (e.g., cleaning oil spills appropriately) safety-related interactions total # interactions rate of unsafe behavior** Zohar and Luria (2003) J Safety Rsch 34: UNC
17 Leadership is Key Physicians Therapists Physics Admin Industrial Engineer Larry Marks, MD Robert Adams, Ed.D., C.M.D. Mitch Price, PhD John Rockwell, MBA Lukasz Mazur, PhD Dana Lunsford, RT(R)(T) Kathy Deuschene, MS Strong commitment of senior leadership to a culture that encourages efficiency/quality/safety is essential!
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19 Involve physicians from the beginning Discover common purpose Ø Improve patient outcomes Ø Reduce hassles and wasted time Make physician involvement visible Engaging Physicians in Quality and Safety Make physicians partners, not customers Use Engaging Improvement Methods Ø Standardize what is standardizable Ø Generate light, not heat, with data Ø Make the right thing easy to try & do Identify and activate champions Adopted from IHI: Engaging Physicians in a Shared Quality Agenda
20 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
21 Lean Management Philosophy Mantra: Preserving value with less work Identify and eliminate waste Standardization of work and communication Goal: To create highly reliable systems Tools: Kaizen Value Stream Maps Root Cause Analysis Gemba Walk, Safety Rounds A3 Forcing Functions Error-proofing Computerization Checklist
22 Lean is just another Tool
23 Clinic Work Flow Kaizen 2008 Transitioning to electronic chart Impaired clinical workflow Patients, clinicians, staff frustrated
24 Sequestered Information
25 Nurse Path Before: Wasted Motion
26 Ø Visual Indications of Demand, Location, Available Rooms Ø Clinic Unit Coordinator Position
27 Nurse Path After Nurses see the patient chart sleeve, know the empty room from the white board, invite the patient to the room, write the room on the board, flag the clinician, page if necessary
28 Reduction of wasted time for Status Check Patients Ave Wait time Ave Time in Room AVE Total Time Goal Wait time Goal Time in Room /12-10/16 10/19-10/23 10/26-10/30 11/2-11/6 11/9-11/13 11/16-11/19 11/23-11/25 Weeks Ø Average waiting time reduced from 29 to 13 minutes Ø Average total status check visit drops from 83 to 45 minutes
29 Nursing Time for New Patients Minutes New Patient Nursing Time 5 0 Pre Pilots Post Pilot#1 Post Kaizen
30 CT simulator Delays Kaizen Identified stake holders 2. Gemba 3. Root cause analysis 4. Value stream map
31 Causes of Delays at CT sim Number of Delays = Attributed to Physicians Reasons No simulation orders Consent not obtained Order for contrast administration, pregnancy test was not communicated 32 Attributed to Patients 21 Attributed to Nurses 20 Miscellaneous Late to appointment Questions about insurance Claustrophobia Incomplete Consent Forms Not informing Simulator therapist that patient is ready Starting IV for contrast administration Waiting on Spanish interpreter Transportation from inpatient unit Front desk not informing simulator therapist that patient is ready Schedulers not telling patient to come 1 hour prior to simulation if patient is receiving contrast
32 Delays 40% to < 5% Continuous Quality Improvement Ø Patient education Ø Point of care pregnancy test
33 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
34 Human Factors Engineering Ø How humans and technology relate to one another Ø Assessing the environment s impact on human performance Ø Purpose is to improve user satisfaction and system performance reliability while reducing operation errors and operator stress
35 Radiation Oncology has a many human-computer and human-machine interactions/interfaces
36
37 Association Between Workload and Error
38 Reducing Workload for HDR Nurses Observed 46 hours, 15 brachytherapy procedures Hierarchical Task Analysis Measured Workload (NASA-TLX) Systematic Human Error Reduction and Prediction Approach (SHERPA) Identifies potential errors related to high workload tasks
39 Reducing Workload for HDR Nurses Tasks with highest workload (NASA-TLX) CT scan and radiation delivery preparation Patient identification and preparation Cervix preparation Physician assistance SHERPA found human errors Information miscommunication Inappropriately conducted or missed tasks No harm but Re-work and Frustration
40 Human Factors Improvement Medication table was moved bedside Additional instruments were purchased Moved glove box to bedside Result Improved efficiency/workflow Prior to this only one set was available and had to be cleaned prior to each HDR procedure, causing significant delays and interruptions. Improved efficiency/workflow Sterile gowns and caps were moved to provide more direct access Improved efficiency/workflow Additional portable examination light Phone numbers in HDR suite and patient s beside were changed to have same number All HDR cables are now tethered together Improved efficiency. Previously one light was shared between multiple providers limiting productivity. Reduced re-work. Prior to this change the nurse had to tend to two phones. Improved efficiency and safety. Nurse no longer looks for missing catheter. Reduced inadvertent disconnection Leadership worked with HDR nurse over 16 months to improve workflow and treatment room layout
41 Chera et al. Practical Radiation Oncology, 2013, In Press
42 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
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44 U N C H E A L T H C A R E S Y S T E M What is A3? A3 is a paper size an International/European paper size established by the International Standards Organization (ISO) It measures 297 x 420 millimeters, or equivalent to x inches 44
45 A3 Report WHAT IS THE PROBLEM? DIAGRAM OF THE TARGET CONDITION DIAGRAM OF THE CURRENT CONDITION WHAT CHANGES WILL YOU MAKE? IMPLEMENTATION PLAN WHO/WHAT/WHEN? WHAT ARE THE ROOT CAUSES (5 WHYS)? HOW WILL YOU MEASURE SUCCESS?
46 Eiji Toyoda, Promoter of the Toyota Way and Engineer of Its Growth, Dies at 100 NYTimes Sept 18, 2013
47 Eiji Toyoda, Promoter of the Toyota Way and Engineer of Its Growth, Dies at 100 NYTimes Sept 18, 2013 Japanese workers use their brains and hands providing 1.5 million suggestions a year, and 95 percent of them are put to practical use. There is an almost tangible concern for improvement in the air at Toyota
48 Near Miss = Good Catch Electronic self reporting system Reviewed weekly at Operational Meeting ~400 Good Catches since June 2012 Integration with Process Maps Lead to Quality Initiatives (A3 s, Kaizen s etc.)
49 Courtesy of Greg Tracton, PhD
50 Courtesy of Greg Tracton, PhD
51 U N C H E A L T H C A R E S Y S T E M Celebrating people and their ideas leads to greater participation and higher reliability Good Catches per month Ø It s the system not the person Ø Review learning from Good catches monthly with department Ø Part of how we manage Ø Part of our education programs 51
52 More reporting safer Number safety events Number reports p<0.001 Courtesy of Eric Ford PhD Mardon et al. AHRQ, J Pa3ent Saf, 6, , 2010
53 Process maps/charts Encapsulate all steps Can be complex Time consuming Modeling and dialogue connected with mapping processes create knowledge and better understanding of the process and its boundaries The process of creating the map is more important than the map itself Ford IJROBP 2009 Courtesy of Stephen L. Breen, PhD, MCCPM Princess Margaret Hospital
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55 3P s: Pregnancy, Pacemaker, Prior radiation 8 Good catches were submitted Analyzed by Quality Committee A3 was completed Checklist completed by nurses & verified by doctors Hard stop must be verified prior to simulation Sustainability 100% of 3Ps completed & approved prior to simulation 92% of 3Ps entered prior to simulation 85% of 3Ps approved prior to simulation
56 Trending Quality Metrics: Daily Metric Metrics for all divisions Physicians Nurses Physics Dosimetry Administration Supervisors enter metrics daily Broadcasted on monitors located in high traffic areas Reviewed at dept. meetings e-whiteboard
57 Courtesy of Greg Tracton, PhD
58 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
59 Safety Rounds/WalkRounds Chair and 1-2 departmental leaders Go to work areas to meet with staff members Discuss safety and/or workplace concerns for minutes > 100 suggestions
60 Why? Demonstrates commitment to safety Fuels culture to change Establishes lines of communication Rapid safety-based improvements Go to where the work is done Educational for managers How? Senior Leaders Quarterly Go to front line staff Conversation at worksite Linac Simulator Dosimetry Clinic
61 Data Interruptions Per Patient Treatment Mean = 4.1 Mean = 0.83 Interruptions 2010 Interruptions 2011
62 A change in the physical workplace reduced interruptions on the treatment machine
63 What We are Doing Leadership Changing organizational culture is difficult Success = f (leadership) Process Engineering Lean (Toyota Production System) Human Factors Engineering Workload Performance Good Catch, A3 initiatives Patient Care Pathways Daily Metrics & e-whiteboard Safety Rounds Continuous Quality Improvement at UNC Peer Review
64 Peer Review Evaluating each other s clinical performance: to improve quality and safety
65 Pre-treatment and During 1 st week of Treatment
66 Consultation Planning CT Treatment Planning Treatment Review Execution Courtesy of Robert Adams Ed D.
67 # of Re-plans 2010 to 2013 % of Re-plans 10$ 9$ 8$ 7$ 6$ 5$ 4$ 3$ 2$ 4.1$ 8.7$ 5.1$ 5.3$5.5$ 6.7$6.7$ 8.2$ 4$ 3.4$ 4.2$ Ø 5 re-plans per month (3%) Ø Jan 2012 to July 2013: 56% preventable (43/77) 3.6$ 3.3$ 5.9$ 7.5$ 3.4$ 6.2$ 3.4$ 1.9$ 3.9$ 3$ 3.1$ 6.9$ 4.4$ 3.3$ 2.9$ 4.3$ 4.2$ 5.3$ 3.5$ 5.3$ 1.8$ 4.7$ 3.8$ 7.5$ 5.3$ 3.2$ 3$ 2.6$ 1$ 0$ 0$ Apr010$ May010$ Jun010$ Jul010$ Aug010$ Sep010$ Oct010$ Nov010$ Dec010$ Jan011$ Feb011$ Mar011$ Apr011$ May011$ Jun011$ Jul011$ Aug011$ Sep011$ Oct011$ Nov011$ Dec011$ Jan012$ Feb012$ Mar012$ Apr012$ May012$ Jun012$ Jul012$ Aug012$ Sep012$ Oct012$ Nov012$ Dec012$ Jan013$ Feb013$ Mar013$ Apr013$ May013$ Jun013$ Jul013$ Month/Year Courtesy of Kathy Burkhardt, MS
68 Quality of Radiotherapy Seriously non- compliant (12% of plans) Peters et al. JCO, 28(18), 2996, 2010
69 Quality of Radiotherapy p < Ohri N et al. JNCI J Natl Cancer Inst 2013;105:
70 Measuring Changes in our Patient Safety Culture at UNC Agency for Health care Research and Quality (AHRQ) Patient Safety Survey 42 items measure 12 dimensions of safety culture Administered to all staff members Compare data 2009 vs Improvements in every category
71 12 Dimensions N=20 7 Providers 4 Managers 3 Administrators 2 Nurses 3 Therapist/ dosimetrists
72 Should Radiation Oncology Aspire To Be a High Reliability Organization? 1. Operate in unforgiving political and social environments. 2. Have risky technologies with the potential for error. 3. Do not allow for learning through experimentation. 4. Use complex processes to manage complex technologies and complex work to avoid failures. YES!
73 5 Characteristics of HRO Ø Preoccupation with failure Ø Reluctance to simplify interpretations Ø Sensitivity to operations Ø Commitment to resilience Ø Deference to expertise Not there yet! Weick K et al. Managing the Unexpected - Assuring High Performance in an Age of Complexity San Francisco, CA, USA; Jossey- Bass
74 How do we prioritize high reliability in healthcare? Competing Interests in Healthcare Patients (Customers) Government/Insurance (Payers) Healthcare Providers (Healers) Airline Industry Many bags go missing every day Yet aviation accidents are rare
75 PRELIMINARY DRAFT FOR DISCUSSION PURPOSES ONLY INFORMATION SUBJECT TO CHANGE U N C H E A L T H C A R E S Y S T E M Reason s Swiss Cheese Model of Organizational Error Prevention Organiza2onal Influence Policies & Procedures We need to focus here Latent Failures Unsafe Supervision Inadequate supervision Policy & Procedure viola9ons Latent Failures Precondi2on for Unsafe Act Adverse mental & physiological state/limita9ons Workload/Stress Latent Failures Unsafe Act Ac9ve Failures Near miss (knowledge, skill, or rule- based) Viola9on We tend Courtesy to of focus Robert Adams here 75
76 Key Take Home Points Ø Focus on systems and processes Ø It s the system not the person Ø Leadership buy in is essential (physicians) Ø Changing organizational culture is difficult Ø Empower the front-line staff Ø No blame culture
77 Acknowledgements Ø Lawrence B. Marks, M.D. Ø Lukasz M. Mazur, Ph.D. Ø Robert Adams, Ed. D. Ø Katharin Deschesne, M.S. Ø Sha X. Chang, Ph.D. Ø Dana Lunsford, RT Ø Mosley Prithima, Ph.D. Ø Marianne Jackson, M.D., M.P.H. Ø Kinley Taylor, MS Ø Rebecca Green, M.S.W. Ø Lori Stravers, MPH Ø Ellen L. Jones, M.D., Ph.D. Ø Jing Xu, M.S Ø John Rockwell, M.S., M.B.A Ø Jessica Church, MPH, RT(R)(T) Ø Therapists, staff, faculty, residents, nurses, physicists, dosimetrists, computer scientists
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