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A Guide to Applying Quality improvement to Healthcare Five Principles

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Healthcare is an art and a science. What many in the industry don’t understand is that systems and processes can coexist with personalized care. Quality improvement methods can be as effective in healthcare as they have been in other industries (e.g., agriculture, manufacturing, etc.).

Quality improvement in healthcare is not just achievable, it’s an absolute necessity given the amount of wasteful spending in the U.S. on healthcare. Organizations can reduce this wasteful spending while improving their processes by applying these five guiding principles:

Facilitate adoption through hands-on improvement projects.
Define quality and get agreement.
Measure for improvement, not accountability.
Use a quality improvement framework and PDSA cycles.
Learn from variation in data.

By using these principles and starting small, organizations can quicken the pace of quality improvement in healthcare.

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A Guide to Applying Quality improvement to Healthcare Five Principles

  1. 1. A Guide to Applying Quality Improvement to Healthcare: Five Principles
  2. 2. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Healthcare Quality Improvement The U.S. spends 18 percent of its Gross Domestic Product (GDP) on healthcare, yet, by some measures, is the least healthy of all its peer countries. Approximately $1 trillion is thought to be wasteful spending and 14 percent of that ($140 billion) is due to clinical waste. Healthcare organizations can change this wasteful trajectory by applying quality improvement methods to improve their processes.
  3. 3. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Healthcare Quality Improvement Since healthcare is complex, many in the industry believe that the controls and standardization suggested by quality improvement methods are difficult for the industry to adopt. But general quality improvement methods—defining quality, developing improvement measures, identifying variation, using control charts, and running Plan-Do-Study-Act (PDSA) cycles—have been successfully applied to healthcare processes, healthcare, and health.
  4. 4. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Healthcare Quality Improvement With the proper application of data and analytics within the appropriate quality improvement framework, healthcare organizations can approach quality improvement scientifically—and effectively.
  5. 5. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles Quality improvement methods have been commonly used in agriculture and manufacturing environments built on processes, but some believe these methods can’t be applied to healthcare because of its craftsmanship nature. Patient care isn’t typically viewed as a process that can be improved. Clinicians rely on their expertise to care for patients, making tailored decisions one case at a time. One of biggest barriers to quality improvement in healthcare is not understanding that systems and processes may coexist with personalized care.
  6. 6. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles When applying quality improvement methods and tools to healthcare, there are five guiding principles healthcare organizations should consider. 1. Facilitate Adoption Through Hands-on Improvement Projects 2. Define Quality and Get Agreement 3. Measure for Improvement, Not Accountability 4. Use a Quality Improvement Framework and PDSA Cycles 5. Learn from Variation in Data
  7. 7. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #1: Facilitate Adoption Through Hands-on Improvement Projects Simply exposing clinicians to ideas and discussing case studies around quality improvement doesn’t motivate them to adopt improvement initiatives. Quality improvement theory and methodology is better learned through hands-on improvement work—applying it to the actual clinical environment. Identifying an area that is important to clinicians and creating the platform for improvement will facilitate adoption.
  8. 8. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #2: Define Quality and Get Agreement Getting agreement on the definition of quality in any particular context establishes what to measure and how to collect data on those measures. The Institute of Medicine (IOM) developed a quality framework around six aims for healthcare systems, but the most salient one for defining quality states that measures should be patient-centered: Providing care that is respectful of, and responsive to, individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions.”
  9. 9. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #2: Define Quality and Get Agreement Definitions of quality should include what’s important to the patient (patient-reported outcomes, or PROs). Are patients with chronic disease getting the best care? How is their quality of life? Health systems are still learning how to routinely measure PROs to understand if they are focused on improvements that matter to the patient. In addition to focusing on the patient- centered dimension of care, quality improvement efforts focus on safety, effectiveness, efficiency, and timeliness.
  10. 10. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #2: Define Quality and Get Agreement The IOM quality framework also defines quality in terms of healthcare equity: Providing care that does not vary in quality because of personal characteristics such as gender, ethnicity, geographic location, and socioeconomic status.” A good operational definition of quality extends improvement to all population segments and closes care equity gaps.
  11. 11. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #3: Measure for Improvement, Not Accountability Data and measurement power quality improvement, but this is where healthcare is tougher than other industries. When clinicians first hear about quality improvement measures, they equate them with performance measures, which imply accountability. It’s important to separate measures for improvement from measures for accountability. Measures for accountability are typically converted to percentages.
  12. 12. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #3: Measure for Improvement, Not Accountability For example, an accountability measure collects data on the percent of ER patients who waited for more than 30 minutes. Management is held accountable for keeping wait times under 30 minutes. An improvement measure collects actual wait time data in minutes to measure system (not people) performance, so a process can be improved. Improvement measures create high-value data that leads to dramatic improvement, saving time and resources.
  13. 13. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles Several frameworks have been adopted for quality improvement in healthcare: Six Sigma’s DMAIC model (define, measure, analyze, improve, control) examines existing processes; its DMADV model (define, measure, analyze, design, verify) is used to develop new processes. Lean methodology emphasizes value for patients, then focuses improvements on processes that impact cost and time efficiencies. The Model for Improvement framework was developed by the Associates in Process Improvement (API) in 1987 and has become the most prominent framework in healthcare.
  14. 14. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles An improvement team should ask three fundamental questions: What are we trying to accomplish? This question establishes the aim for improvement efforts and ensures that collected data is related to patients’ perception of quality. How will we know that a change is an improvement? This question sets up the criteria for determining when change results in sustainable improvement. What changes can we make that will result in improvement? This question leads to the PDSA cycle, which tests small scale changes, or interventions, to see their effect on outcomes.
  15. 15. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles Goal: The high-level project objective, which is measured by outcome measures. Example: Reduce 30-day, all-cause chronic obstructive pulmonary disease (COPD) readmissions. Aim: An incremental objective that contributes to the overall goal. An improvement project can have multiple aims, each determined by process measures. Example: Reliably identify the patient, then activate the COPD care bundle. Intervention: Changes to system or process designed to improve performance of outcome and process measures. Example: Train physicians on COPD bundle use. To answer these questions, the improvement team sets goals, aims, and interventions in pursuit of high-value improvement measures:
  16. 16. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles Each intervention goes through a PDSA cycle to test its validity and to adapt it to the specific context. While it can appear simplistic compared to other methodologies, the PDSA cycle, in a repeated application, is the backbone of quality improvement.
  17. 17. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles Plan: Establish the objective, determine what questions need to be asked and what predictions need to be made, and then plan to carry out the cycle. Example PDSA cycle: Goal: The high-level project objective, which is measured by outcome measures. Example: Reduce 30-day, all-cause Study: Complete the data analysis, compare the data to the predictions, and then summarize learnings. Act: Determine what changes will be made and what the next cycle will be.
  18. 18. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles An improvement project usually involves several PDSA cycles. The key to quality improvement success is understanding that PDSA is an iterative process. After each cycle, the improvement team assesses the success of the associated intervention. At some point, the intervention is adopted or abandoned, which indicates the end of PDSA cycles for that intervention. Then the team can move to the next intervention. Reaching the global aim indicates completion of the overall quality improvement project.
  19. 19. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #4: Use a Quality Improvement Framework and PDSA Cycles This improvement process is well-illustrated in a recent paper by Zafar and others, which documents 36 PDSA cycles over 10 interventions during an improvement project to reduce COPD readmissions. This is an excellent example of properly applying quality improvement in healthcare and shows how the model works with aims, measurements, and change theories. Comprehending variation in data is a vital component of this study. REDUCING COPD READMISSIONS
  20. 20. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data A deep knowledge of the Model for Improvement framework helps the team accomplish the improvement goal. Part of this knowledge comes from understanding variation in data and the causes of that variation.
  21. 21. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Intended and unintended variation in data. Healthcare processes involve both intended and unintended variation. Intended variation is purposely deciding to do something a different way. It’s what defines patient-centered care. Clinicians sometimes resist the idea of reducing variation because it’s part of their everyday practice. They purposely prescribe one dosage or treatment to one patient, and another dosage or treatment to the next. Intended variation is a desirable practice and part of the job description.
  22. 22. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Intended and unintended variation in data. The theory of variation was proposed for identifying and removing unintended variation. Multiple systems with multiple sets of unintended variation create significant unnecessary costs. Unintended variation occurs when several clinicians in the same practice prescribe different antibiotics for the same problem without a specific rationale for, or awareness of, the variation.
  23. 23. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Intended and unintended variation in data. If the variation isn’t thoughtful or it’s out of habit or convenience, then it’s unintended. But if each clinician has a rationale behind their individual choices and the variation continues, then it’s intended.
  24. 24. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Common cause and special cause variation Walter Shewhart developed the concept of common cause and special cause variation. Common causes are an inherent part of a system or process that impact all people and outcomes. Special causes arise from specific circumstances that impact only a subset of people or outcomes. Understanding common cause and special cause variation helps health systems identify the changes they can make to result in improvement. WALTER SHEWHART The father of statistical quality control
  25. 25. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Common cause and special cause variation Studying common cause and special cause variation is the cornerstone of improvement because it shows why the variation occurred and suggests the most effective approach to address it. Shewhart’s control chart method provides this insight. WALTER SHEWHART The father of statistical quality control
  26. 26. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Common cause and special cause variation A case study from Cincinnati Children’s Hospital Medical Center shows the impact of special cause variation on catheter-associated bloodstream infections (CA-BSIs). The hospital had multiple improvement projects working on the common causes of variation associated with CA-BSI rates. It was showing significant improvement over an eight-year period, and then rates unexpectedly increased beyond the upper control limit.
  27. 27. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Common cause and special cause variation The hospital conducted a series of investigative studies that indicated special cause variation in two units. It discovered that a new medical device had been introduced that wasn’t part of the system. Because it was monitoring through control charts, it was able to pinpoint when the problem occurred and remove the special cause. Control charts are one of five tools health systems can use to learn from variation in data.
  28. 28. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Tools for learning from variation in data The following tools allow improvement teams to see the status of a whole system and use discoveries—revealed by variation in the data—to review and change processes: Control charts: Show the data associated with special and common causes and enable teams to improve the system by removing special causes or changing common causes.
  29. 29. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Tools for learning from variation in data The following tools allow improvement teams to see the status of a whole system and use discoveries—revealed by variation in the data—to review and change processes: Run charts: Precursor to control charts that include visual display of measures over time.
  30. 30. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Tools for learning from variation in data The following tools allow improvement teams to see the status of a whole system and use discoveries—revealed by variation in the data—to review and change processes: Frequency Plots: Used to visualize the data patterns for continuous data (e.g., wait times, length of stay, and cost per case).
  31. 31. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Tools for learning from variation in data The following tools allow improvement teams to see the status of a whole system and use discoveries—revealed by variation in the data—to review and change processes: Pareto Plots: Used to visualize qualitative data (e.g., patient perceptions of care and quality of life) and focus improvement efforts.
  32. 32. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Applying Quality Improvement in Healthcare: Five Guiding Principles #5: Learn from Variation in Data Tools for learning from variation in data The following tools allow improvement teams to see the status of a whole system and use discoveries—revealed by variation in the data—to review and change processes: Scatter Plots: Used to visualize relationships between measures.
  33. 33. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Quality Improvement in Healthcare: Start Small to Make Big Changes The complexities of healthcare operations and the vast amount of variation and waste in U.S. healthcare make the undertaking of a quality improvement initiative seem impossible But healthcare quality improvement is achievable when systems use the five principles outlined in this article as their guide, from getting clinician buy-in to using an improvement framework that’s based on scientific methodology. Health systems can change the dynamic and pace of quality improvement work by testing on a small scale and learning from those tests.
  34. 34. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. For more information: “This book is a fantastic piece of work” – Robert Lindeman MD, FAAP, Chief Physician Quality Officer
  35. 35. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. More about this topic Link to original article for a more in-depth discussion. A Guide to Applying Quality Improvement to Healthcare: Five Principles How to Determine the Best Interventions for Clinical Quality Improvement Projects Kathleen Merkley, Sr. VP, Professional Services; Ann Tinker, VP, Customer Engagements Quality Improvement in Healthcare: Where Is the Best Place to Start? Eric Just, Sr. VP of Product Development Use Well-Crafted Aim Statements To Achieve Clinical Quality Improvements Cherbon VanEtten, Director of Education The Top Five Essentials for Outcomes Improvement Leslie Hough Falk, Sr. VP; Ann Tinker, VP, Customer Engagements Five IT Must-Haves for Quality Initiatives in Healthcare Ann Frasher, Sr. Director, Client Engagement; Ann Tinker, VP, Customer Engagements
  36. 36. © 2016 Health Catalyst Proprietary. Feel free to share but we would appreciate a Health Catalyst citation. Other Clinical Quality Improvement Resources Click to read additional information at www.healthcatalyst.com With an education in statistics, Lloyd works as an advisor to organizations, helping them make improvements in their products and services and increase their capacity to continually learn and improve. His experience includes consulting in planning, management systems, measurement, planned experimentation, and other methods for improvement of quality and productivity. Lloyd has advised clients worldwide in a variety of industries including computers, health care, chemical, manufacturing, engineering, construction, automotive, electronics, food, transportation, professional services, retail, education, and government. Through API's partnership with the Institute of Healthcare Improvement (IHI), Lloyd is a senior fellow and serves as an improvement advisor supporting IHI's innovation and improvement programs. He serves as faculty for IHI's Improvement Advisor Professional Development Program and supports IHI's programs in developing countries. Lloyd has a Bachelor of Science in Statistics from the University of Tennessee and a Master of Science in Statistics from the University of Florida. He is the author of several papers relating to quality and measurement and co-author of books on planned experimentation and the science of improvement Quality Improvement Through Planned Experimentation (2nd edition, McGraw-Hill, 1998) and The Improvement Guide: A Practical Approach to Enhancing Organizational Performance (Jossey-Bass, 2009). He was the year 2003 recipient of the Deming Medal awarded by the American Society for Quality. Lloyd Provost

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