Patient Safety in the Treatment Process
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1 Applying TG-100 Methodology to SRS / SBRT Jennifer Lynn Johnson, MS, MBA Senior Medical Physicist and Director for Safety, Radiation Physics ms_jl_johnson@yahoo.com
2 2 Disclosures AAPM Working Group on Prevention of Errors, Chair Special thanks to: Team members of the Division at Radiation Oncology Julian R Perks, et. al. Laura Masini, et. al. Kelly Cooper Younge, et. al. F Yang, et. al. Ryan P. Manger, et. al.
3 3 Clearly, we want to avoid patient harm. We typically measure and respond to specific incidents of harm. Can we do better?
4 4 Contents 1 RISK 2 SRS / SBRT QA PROGRAM 3 SRS / SBRT PROCESS 4 FAILURE MODES AND EFFECTS ANALYSIS 5 FAULT TREE ANALYSIS 6 SOPS FOR MAJOR STEPS 7 SAFETY CHECKLIST 8 PROGRAM MONITORING
5 5 Risk
6 Defining Risk 6 Risk is the likelihood a hazard causes harm to a patient. What can go wrong? How likely is it to go wrong? What are the consequences if it goes wrong?
7 Risk Management 7 RT is adopting incident learning system (ILS) Reactive: identify after the fact, control only for the future Difficult to monitor low occurrence incidents High risk industries identify, control and monitor hazards Allows active management of the environment Manage the hazards that give rise to risk Create resilience for unexpected risks
8 Risk Assessment 8 Prospectively analyze hazards in a process. For the RT treatment process, AAPM TG-100 uses: Process Mapping Failure Modes and Effects Analysis Fault Tree Analysis Structured ways to prioritize risk and determine where to focus resources
9 9 SRS / SBRT is typically a complete course of radiation therapy (RT) delivered in 1 to 5 sessions (fractions). SRS / SBRT requires greater precision and accuracy than conventionally fractionated RT => follow strict protocols for quality assurance (QA).
10 Published Guidance for Comprehensive QA 10 ACR ASTRO Practice Parameter for the Performance of Stereotactic Body Radiation Therapy. Practice guidelines and technical standards. Reston, VA: American College of Radiology; 2014: ACR ASTRO Practice Parameter for the Performance of Stereotactic Radiosurgery. Practice guidelines and technical standards. Reston, VA: American College of Radiology; 2014: Benedict SH, Yenice KM, Followill D, et al. Stereotactic body radiation therapy: the report of AAPM Task Group 101. Med Phys. 2010;37(8): Keall PJ, Mageras GS, Balter JM, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys. 2006;33(10): Klein EE, Hanley J, Bayouth J, et al. Task Group 142 report: quality assurance of medical accelerators. Med Phys. 2009;36(9): Solberg TD, Balter JM, Benedict SH, Fraass BA, Kavanagh B, Miyamoto C, Pawlicki T, Potters L, Yamada Y. Quality and safety considerations in stereotactic radiosurgery and stereotactic body radiation therapy. Prac. Rad. Onc. 2012; Mar 31;2(1):2-9.
11 11 Central goal of patient safety is to avoid potential harm rather than compliance with systems and processes. Vincent C, Burnett S, Carthey J. The measurement and monitoring of safety. London: The Health Foundation May 24;2013.
12 12 SRS / SBRT Process
13 Process Mapping 13 Visual illustration of the steps in a process What is accomplished How steps are related Process steps may be subdivided into sub-processes, and so on.
14 14 Generic SRS / SBRT Procedure Imaging Treatment Planning Dose Delivery Adapted from Ford, E. C., et al. "Consensus recommendations for incident learning database structures in radiation oncology." Medical physics (2012):
15 15 Delivering modern external beam radiation therapy is not so simple.
16 MD Anderson MDACC Radiation Oncology Process - EBRT Adapted from Ford, E. C., et al. "Consensus recommendations for incident learning database structures in radiation oncology." Medical physics (2012):
17 17 Failure Modes and Effects Analysis Fault Tree Analysis
18 Failure Modes and Effects Analysis (FMEA) 18 Vocabulary: Failure mode: how a part or process can fail Cause: a deficiency that results in a failure mode; source of variation Effect: impact on a person if the failure mode is not prevented or corrected A multidisciplinary team (experts) generate actual and potential risks (without QC) Especially useful for high-risk processes Structured approach that links failure modes to an effect
19 Failure Modes and Effects Analysis (FMEA) 19 Steps: Identify ways a sub-process (or product) can fail, both known & potential Determine each failure mode s causes & effects Assign a number to most severe (S) effect Determine likelihood each failure mode s occurrence (O) & detection (D) Calculate risk priority number (RPN) = O x S x D Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Mundt AJ, Mutic S, Palta JR, Rath F, Thomadsen BR, Williamson JF. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management. Medical Physics Jul 1;43(7):
20 Failure Modes and Effects Analysis (FMEA) 20 Rank the RPN values (highest to lowest) Pick the 3 failure modes with the highest RPN values and highest S values RPN 100 S 7 Propose process changes that would decrease the probability of occurrence, O Propose QC that would decrease the probability of un-detectability, D Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Mundt AJ, Mutic S, Palta JR, Rath F, Thomadsen BR, Williamson JF. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management. Medical Physics Jul 1;43(7):
21 MD Anderson Completing FMEA MDACC Exercise (2013) Asked a multidisciplinary team to complete a survey For each of the sub-process steps Did not ask specific causes Estimating Failure Mode Scores In columns 2-4 of Table 1, use Table A (provided separately) to fill in your best estimate the following scores: O = Occurrence. The likelihood the failure would occur. (1-10) D = Detectability. The likelihood the failure would go undetected. (1-10) S = Severity. The severity of the consequences of the failure. (1-10) Again, imagine the worst case scenario. Consider each failure independently Team reviewed results together and agreed in general the RPN rankings Purpose for ILS action scale 21
22 Completing FMEA Treatment Planning O, D, S 22
23 MD Anderson Completing FMEA MDACC Exercise (2013) Calculating RPN 23
24 Completing FMEA MDACC Exercise (2013) Ranking RPN 24
25 Completing FMEA MDACC Exercise (2013) RPN vs. S 25 Divisional RPN Physics RPN
26 Completing FMEA MDACC Exercise (2013) RPN
27 Completing FMEA MDACC Exercise (2013) S 7 27
28 28 Propose process changes to decrease likelihood of occurrence (O). Propose quality control to decrease likelihood of undetectability (D). Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Mundt AJ, Mutic S, Palta JR, Rath F, Thomadsen BR, Williamson JF. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management. Medical Physics Jul 1;43(7):
29 Fault Tree Analysis (FTA) 29 Evaluate the propagation of failures Gives visual representation of propagation of a failure in the process Helps identify intervention strategies to mitigate the FMEA identified risks Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Mundt AJ, Mutic S, Palta JR, Rath F, Thomadsen BR, Williamson JF. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management. Medical Physics Jul 1;43(7):
30 Fault Tree Analysis (FTA) 30 Steps Define the undesired event Understand the system Construct the fault tree Evaluate the fault tree Control the identified hazards Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Mundt AJ, Mutic S, Palta JR, Rath F, Thomadsen BR, Williamson JF. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management. Medical Physics Jul 1;43(7):
31 Fault Tree Analysis (FTA) 31 Events in a fault tree are associated with statistical probabilities AND gate probability of output: P(A and B) = P(A B) = P(A) P(B) OR gate probability of output: P(A or B) = P(AUB) = P(A) + P(B) - P(A B) Huq MS, Fraass BA, Dunscombe PB, Gibbons JP, Ibbott GS, Mundt AJ, Mutic S, Palta JR, Rath F, Thomadsen BR, Williamson JF. The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management. Medical Physics Jul 1;43(7):
32 32 Utilization of Process Maps, FMEA, and FTA enable development of your Quality Management program.
33 Comprehensive QA Program MDACC Exercise (2013) Improvements in Progress 36 Immobilization and Simulation Devices Treatment Planning System Treatment Delivery Unit Ancillary Systems for Imaging and Motion Management Patient-specific Treatment Delivery Parameter Validation Other RO Treatment Planning Other Treatment Delivery QMP, RO present Committee review required prior release QMP peer review QA Improved engineering notifications Improved SRS / SBRT treatment checklist RTT time out process & checklist Dosimetry checklist RO Peer review
34 Experience 39 Perks, J. R., Stanic, S., Stern, R. L., Henk, B., Nelson, M. S., Harse, R. D.,... & Chen, A. M. (2012). Failure mode and effect analysis for delivery of lung stereotactic body radiation therapy. International Journal of Radiation Oncology* Biology* Physics, 83(4),
35 40 Experience CBCT isocenter misalignment -> vigilent IGRT QA Automatic setup failure -> frame agreement within 2 mm CBCT Improper laser marking or transcription error for couch movements -> instituted dry run to test need to translate patient away from iso Patient movements during treatment -> considering infrared surface tracking Instituted checklists Reviewed staffing levels Perks, J. R., Stanic, S., Stern, R. L., Henk, B., Nelson, M. S., Harse, R. D.,... & Chen, A. M. (2012). Failure mode and effect analysis for delivery of lung stereotactic body radiation therapy. International Journal of Radiation Oncology* Biology* Physics, 83(4),
36 Experience 41 Masini, L., Donis, L., Loi, G., Mones, E., Molina, E., Bolchini, C., & Krengli, M. (2014). Application of failure mode and effects analysis to intracranial stereotactic radiation surgery by linear accelerator. Practical radiation oncology, 4(6),
37 42 Experience Wrong collimator selection -> instituted bar code reader Isocenter localization -> utilize infrared surface tracking for independent localization system verification Target and OAR contours -> contour peer review RO consults similar patients -> cross-check clinical documentation Training, roles & responsibilities Scheduling of treatments Masini, L., Donis, L., Loi, G., Mones, E., Molina, E., Bolchini, C., & Krengli, M. (2014). Application of failure mode and effects analysis to intracranial stereotactic radiation surgery by linear accelerator. Practical radiation oncology, 4(6),
38 Experience 43 Changes perceptions of risk Younge, K. C., Wang, Y., Thompson, J., Giovinazzo, J., Finlay, M., & Sankreacha, R. (2015). Practical implementation of failure mode and effects analysis for safety and efficiency in stereotactic radiosurgery. International Journal of Radiation Oncology* Biology* Physics, 91(5),
39 Experience 44 Mask fitting -> monitor pre-treatment and post-treatment imaging Patient orientation on MRI -> additional staff checks Contours -> additional auto comparison of approved versus final plan Contours -> mandatory peer review prior to treatment planning Younge, K. C., Wang, Y., Thompson, J., Giovinazzo, J., Finlay, M., & Sankreacha, R. (2015). Practical implementation of failure mode and effects analysis for safety and efficiency in stereotactic radiosurgery. International Journal of Radiation Oncology* Biology* Physics, 91(5),
40 45 Experience Criterion-based FMEA compared with incidents reported in ILS -> 61% (20/33) identified by FMEA ->39% (13/33) not identified by FMEA ->Significantly lower RPNs Yang, F., Cao, N., Young, L., Howard, J., Logan, W., Arbuckle, T.,... & Ford, E. (2015). Validating FMEA output against incident learning data: A study in stereotactic body radiation therapy. Medical physics, 42(6),
41 46 Experience 16 / 91 steps surface imaging 25 / 167 had RPN >100 -> 1 related to surface imaging Use systematic approach to FMEA (e.g., HAZOP or SHERPA) Manger, R. P., Paxton, A. B., Pawlicki, T., & Kim, G. Y. (2015). Failure mode and effects analysis and fault tree analysis of surface image guided cranial radiosurgery. Medical physics, 42(5),
42 Experience 47 Manger, R. P., Paxton, A. B., Pawlicki, T., & Kim, G. Y. (2015). Failure mode and effects analysis and fault tree analysis of surface image guided cranial radiosurgery. Medical physics, 42(5),
43 48 Experience suggests Standardized Operating Procedures (SOPs) for major steps are critical to patient safety.
44 Safety Checklist Medical Physics Practice Guideline 4.a 49 Role of checklists Organizational influences on checklists: safety culture Teamwork is essential Development & Implementation Revision Maintenance de los Santos LE, Evans S, Ford EC, Gaiser JE, Hayden SE, Huffman KE, Johnson JL, Mechalakos JG, Stern RL, Terezakis S, Thomadsen BR. Medical Physics Practice Guideline 4. a: Development, implementation, use and maintenance of safety checklists. Journal of Applied Clinical Medical Physics May 8;16(3).
45 Safety Checklist Medical Physics Practice Guideline 4.a 50 Use of checklists Design recommendations Content Workflow, layout & format Physical characteristics (e.g., font, text color, shading) de los Santos LE, Evans S, Ford EC, Gaiser JE, Hayden SE, Huffman KE, Johnson JL, Mechalakos JG, Stern RL, Terezakis S, Thomadsen BR. Medical Physics Practice Guideline 4. a: Development, implementation, use and maintenance of safety checklists. Journal of Applied Clinical Medical Physics May 8;16(3).
46 Safety Checklist Samples 51 Solberg TD, Balter JM, Benedict SH, Fraass BA, Kavanagh B, Miyamoto C, Pawlicki T, Potters L, Yamada Y. Quality and safety considerations in stereotactic radiosurgery and stereotactic body radiation therapy. Practical Radiation Oncology. 2012; Mar 31;2(1):2-9.
47 53 Program Monitoring Patient Safety Past harm Reliability Sensitivity to operations Anticipation and preparedness Integration and learning Vincent, C., Burnett, S., & Carthey, J. (2013). The measurement and monitoring of safety. The Health Foundation
48 Program Monitoring Patient Safety 54 Past Harm SafetyLink ILS Outcomes Reliability Anticipation and Preparedness Checklists Safety culture Staffing indicators (absence rates) Improved standardized protocols and Integration and Learning guidelines Walk-rounds Sensitivity to Operations Patient surveys Daily Coms Chart audits, dashboards Team operation huddles ILS and RCA Vincent, C., Burnett, S., & Carthey, J. (2013). The measurement and monitoring of safety. The Health Foundation
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