Overview of Quality Improvement Science. Ruth S. Gubernick, PhD, MPH March 22, 2017

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Transcription:

Overview of Quality Improvement Science Ruth S. Gubernick, PhD, MPH March 22, 2017

Objectives of this Session Develop a strategy for improving delivery of adolescent immunizations in a primary care setting Apply the Model for Improvement to test changes, using the EQIPP Toolkit and/or other examples of adolescent immunization-focused tools and resources

Research vs. Quality Improvement Measurement for Research Measurement for Learning and Process Improvement Purpose To discover new knowledge To bring new knowledge into daily practice Tests One large "blind" test Many sequential, observable tests Biases Control for as many biases Stabilize the biases from test to test as possible Data Gather as much data as Gather "just enough" data to learn possible, "just in case" and complete another cycle Duration Can take long periods of "Small tests of significant changes" time to obtain results accelerates the rate of improvement

It Takes an Effective Team to Do This Work! Members representing different kinds of expertise in the practice Clinical Leader Technical Expertise Day-to-Day Leadership Administrative Staff Patient/Parent/Caregiver Partners Project Sponsor

Model for Improvement What are we trying to accomplish? How will we know that a change is an improvement? What change can we make that will result in improvement? AIM MEASURES IDEAS Act Plan Study Do

AIM Worksheet The (name of your team ) intend to accomplish By (date) For (population) because Our goals include: Special guidance that will help us stay on track:

How will we know a change is an improvement? Requires measurement Build measurement into daily work routine Data should be easy to obtain and timely Small samples over time Use qualitative & quantitative data Quantitative data is highly informative Qualitative data is easy to obtain

Record Review: Up-to-date (Percent) 100 90 80 70 60 50 40 30 DDJZFE DOCRN3 happy6 HGH 20 10 0 Base Aug Sep Oct Nov Dec Jan Feb 8

All needed vaccines were given at the last visit (percent) 100 90 80 70 60 50 40 30 DDJZFE DOCRN3 happy6 HGH 20 10 0 Base Aug Sep Oct Nov Dec Jan Feb 9

The PDSA Cycle for Learning and Improvement What s next? Act What changes are to be made? Next cycle? What will happen if we try something Plan different? Objective Questions and predictions (why) Plan to carry out the cycle (who, what, where, when) Plan for data collection Did it work? Study Complete the analysis of the data Compare data to predictions Summarize what was learned Do Carry out the plan Document problems and unexpected observations Begin analysis of the data Let s try it!

A PDSA Cycle A:Will try one week Act What changes are to be made? Next cycle? P: Ask one doctor (Dr. M) Plan to immunize at a sick visit for Objective Questions and 1 patient who predictions (why) is overdue for Plan to carry out shots the cycle (who, what, where, when) S: Was some resistance, as predicted, from mother. Study Complete the analysis of the data Compare data to predictions Summarize what was learned Do Carry out the plan Document problems and unexpected observations Begin analysis of the data D: Dr. M immunized 2 patients, 1 with fever. Caught patients up.

Use of the PDSA Cycles Multiple cycles A P S D Changes that Result in Improvement Implementation of Change Evidence Best Practice Testable Ideas A P S D Follow-up Tests Very Small Scale Test Wide-Scale Tests of Change

Task or Test? Task To do s Meetings Posters Policy Committees Test Question Prediction Data Usually involves patient

Decrease the Time Frame for a PDSA Test Cycle Years Quarters Months Weeks Days Hours Minutes Drop down next two levels to plan Test Cycle!

What is Important to Understand About Testing? Change isn t permanent No support for change beyond test period Learning from testing will be significant up to 50% of tests not expected to yield improvement Fewer # of people affected by the test (lower risk) It will provide you with the data to prove that a new way works better Source: Langley et al. 1996. The Improvement Guide: A Practical Approach to Enhancing Organizational Performance. p114.

Tips for Testing Changes Stay a cycle ahead Scale down scope of tests START SMALL Pick willing volunteers (work with those that want to work with you) Avoid the need for consensus, buy-in, or political solutions Replicate changes made elsewhere Pick easy/feasible changes to try Avoid technical slowdowns Reflect on the results of every test (successful AND failed tests)

MODEL FOR IMPROVEMENT CYCLE: DATE: A S P D Objective for this PDSA Cycle PLAN: QUESTIONS: Form for planning a PDSA cycle supports prediction and keeping one step ahead PREDICTIONS: PLAN FOR CHANGE OR TEST: WHO, W HAT, W HEN, W HERE PLAN FOR COLLECTION OF DATA: WHO, WHAT, WHEN, WHERE DO: CARRY OUT THE CHANGE OR TEST; COLLECT DATA AND BEGIN ANALYSIS. STUDY: COMPLETE ANALYSIS OF DATA; SUMMARIZE WHAT WAS LEARNED. ACT: ARE WE READY TO MAKE A CHANGE? PLAN FOR THE NEXT CYCLE.

Overall Aim: Improving Adolescent Immunization Coverage Rates (and Preventing Disease!) Assess immunization status at every visit Elicit patient/family concerns Administer all eligible vaccines Conduct Reminders/ Recalls

How teams get results Engage leaders Form team Assign responsibility for key tasks Meet Small tests of change Use of the IIS Use of best practices, tools and resources

Questions/Comments?