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Quality improvement in action:

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Presentation on theme: "Quality improvement in action:"— Presentation transcript:

1 Quality improvement in action:
A core competence of medical education in the 21st century Dr Emma Vaux @VauxEmma

2 What is Quality Improvement?
@NHS_HealthEdEng

3 Quality is: Patient care that focuses on safety, effectiveness and patient experience [NHS Constitution] Quality improvement is: Using understanding of our complex healthcare environment, applying a systematic approach designing, testing, and implementing changes using real-time measurement for improvement, to make a difference to patients by improving safety, effectiveness & experience of care. QI education Knowledge in improvement science, systems and measurement Skills in managing complexity, leading change, learning and reflection, and ensuring sustainability Training in human factors that impacts those capabilities What is the right thing = research Clinical audit – are we doing the right thing and how are we doing QI – how can we make the right thing happen every time – which is also part of the audit cycle

4 Systems thinking Tame – complicated but less uncertainty; there is an answer……….rota, fix a broken leg, elective surgery op list, hospital design – there is always an answer Wicked (or big hairy problems) more complex – uncertainty – not right or wrong answer – best solution - any solution likely impact elsewhere in the system eg patient fall – health and social care; best care for obese type II diabetic, emergency admissions,

5 Reliability and the Number of Steps
1 step at 95% reliability says that it succeeds 95/100 (or fails 5/100 times) Probability of Success 25 steps at 95% reliability for each step says it succeeds 28/100 (or fails 72/100) (.95 x .95 x .95 x .95 for 25 times) The probability of success is highly correlated with the number of steps in a process! 10-2—what we are trying to achieve in healthcare—but wait, what does it really mean? 1 step at 95% reliability says that it succeeds 95/100 (or fails 5/100 times) when step is done; 25 steps at 95% reliability for each step says it succeeds 28/100 (or fails 72/100) (.95 x .95 x .95 x .95 for 25 times) 40 steps at 95% reliability for each step says it succeeds 12/100 (or fails 88/100) 100 steps at 95% reliability for each step says it succeeds .6/100 or 6/1000 times (or fails 99.4/100 or 994/1000) Many of our process are at the complexity level of 100 steps—we need higher reliability! 40 steps at 95% reliability (12/100 successes or fails 88/100) 100 steps, (99.4 out of 100 are failures)

6 Complexity and Reliability
Aim: “95% compliance with Prophylactic Antibiotic Received Within One Hour Prior to Surgical Incision” (4 step process) 1 2 Probability of on-time successful completion at each step Steps 90.00% 99.00% 99.90% 99.99% 99.999% 1 2 81.00% 98.01% 99.80% 99.98% 99.998% 4 65.61% 96.06% 99.60% 99.96% 99.996% 8 43.05% 92.27% 99.20% 99.92% 99.992% 16 18.53% 85.15% 98.41% 99.84% 99.984% 32 3.43% 72.50% 96.85% 99.68% 99.968% 64 0.12% 52.56% 93.80% 99.36% 99.936% 128 0.00% 27.63% 87.98% 98.73% 99.872% 3 How does the complexity of your process affect reliability? 4 If the reliability of each step is 90% then the overall reliability for the 4 steps together is only 65.61% (.90^4=.6561) 2

7 DAVE

8 “All improvement requires change, but not all change leads to improvement”

9 “In God we trust. All others bring data.”
W. E. Deming

10 Top tip 1 A methodology

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12 Top tip 2 Measurement

13 The Three Faces of Performance Measurement
Aspect Improvement Accountability Research Aim Improvement of care Comparison, choice, reassurance, spur for change New knowledge Methods: Test Observability Test observable No test, evaluate current performance Test blinded or controlled Bias Accept consistent bias Measure and adjust to reduce bias Design to eliminate bias Sample Size “Just enough” data, small sequential samples Obtain 100% of available, relevant data “Just in case” data Flexibility of Hypothesis Hypothesis flexible, changes as learning takes place No hypothesis Fixed hypothesis Testing Strategy Sequential tests No tests One large test Determining if a change is an improvement Run charts or Shewhart control charts No change focus Hypothesis, statistical tests (t-test, F-test, chi square), p-values Confidentiality of the data Data used only by those involved with improvement Data available for public consumption and review Research subjects’ identities protected So to recap what is improvement data doing compared with data for research We are making what we know to be best practice happen in real life working environments, rather than highly controlled situations What is improvement data doing compared with accountability data- it is motivating staff with small tests and ongoing vigilance to get better, there is a hypothesis lets try it out and see, The hypothesis changes

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20 before after

21 Top tip 3 QI, audit and research are synergistic

22 Translational Research
Quality Improvement is a T3 enterprise Westfall, J. M., J. Mold, et al. (2007). "Practice-Based Research--"Blue Highways" on the NIH Roadmap.“ JAMA 297(4): Khoury, M. J., M. Gwinn, et al. (2007). "The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention?" Genet Med 9(10): Making Every Moment Count Understanding Measurement for Quality Improvement • Sept 10&

23 Opportunity: Make it real-time & dynamic

24 Repeated Use of the PDSA Cycle for audit
Changes That Result in Improvement A P S D DATA Spread D S P A Implementation of Change A P S D Wide-Scale Tests of Change A P S D Follow-up Tests Hunches Theories Ideas Standards Very Small Scale Test DATA so having tested a change once and it worked ……what then ? do it again on a different patient , or bay instead of one patient get two nurses to try it instead of one Ask a colleague working on another ward to try the same test with a different case mix 24

25 Top tip 4 Stakeholder engagement

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30 Top tip 5 Sustainability

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32 Sustainability Patient & staff engagement Fits with goals & structures
Infrastructure Credibility of evidence Adaptability: Monitoring progress:

33 4 principles sustainable clinical practice Prevention
Sustainable value in healthcare 4 principles sustainable clinical practice Prevention Patient empowerment & self-care Lean systems Low carbon alternatives

34 Top tip 6 Visibility

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36 Prevention of hospital acquired pneumonia

37 Top tip 7 Junior doctor & MDT involvement

38 "The aggregation of marginal gains."
‘You hear about projects and they sound really huge but this has opened my eyes to how you can do little things and make small changes that make a big difference’

39 Top tip 8 Role modelling

40 Look beyond the tick box……

41 Top tip 9 Patient involvement

42 Patricia Peattie, Chair Academy Patient Lay Group
“We should start with the patient. It is important that quality improvement starts with what is important and not with what is easy to address” Patricia Peattie, Chair Academy Patient Lay Group @MyLifeScribble @VauxEmma

43 Top tip 10 Time to do it!

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45 Value your Time! Design & Planning Little and often measurement
Prospective Real-time Encouraged to work as team Measurement as part of workflow

46 Influencing Systems thinking learning creativity Resilience

47 Getting started…. Collecting plans at end and will be returned….


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