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Illinois Multistate Learning Collaborative 3

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Components of Performance Management. Building QI into Your Culture ... Completing the full DTAP immunization series protects children and others from pertussis ... – PowerPoint PPT presentation

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Title: Illinois Multistate Learning Collaborative 3


1
Illinois Multistate Learning Collaborative - 3
  • Tuesday, March 3, 2009

2
Tuesdays Agenda
  • Components of Performance Management
  • Building QI into Your Culture
  • Using Data to Target Improvements
  • Finalize RCI AIM Statements
  • QI Team Work Plan Development

3
Learning Objectives-Tuesday
  • Participants will be able to describe some steps
    for building QI into their culture.
  • Participant teams will have a final draft of RCI
    Steps 1 - 3 AIM Statement
  • Participant teams will have a rough draft of
    their project work plan

4
Performance Management and Building QI into Your
Culture

5
Performance Management
Standards for Public Health
Public Health Indicators
QI Plans Councils
QI Methods Tools
Business Process Analysis
Performance Assessment
Improving PH processes
6
Performance Management
Source Turning Point Performance Management
Collaborative, 2003.
7
Performance Standards
  • Establish Performance Standards
  • Local and State Health Departments
  • Establish and Define Outcomes and Indicators
  • Process and Intermediate Outcomes
  • Health Status Indicators

8
Performance Measurement Definitions
  • Performance measurement is the regular
    collection and reporting of data to track work
    produced and results achieved
  • Performance measure is the specific quantitative
    representation of capacity, process, or outcome
    deemed relevant to the assessment of performance
  • Performance measurement is NOT punishment

9
Performance Measurement
  • Monitoring of Performance
  • Results of review of performance against local
    and state Standards
  • Program evaluation results
  • Monitoring of Indicators and Outcomes
  • Process and intermediate outcomes
  • Health status indicators

10
Quality Improvement Process
  • Use data to identify opportunities for
    improvement and to make decisions
  • Quality Improvement Methods
  • Improvement Collaboratives
  • Adapting or Adopting Model Practices
  • Establishing QI Councils, Plans, and Teams
  • Logic Models, RCI, Business Process Analysis
  • QI Tools Data Analysis and Root Cause

11
Reporting Progress
  • Reporting of Performance (Local and State
    Standards and Program Evaluation)
  • Reporting of Indicators and Outcomes
  • Health Indicators
  • Program Evaluation Data
  • Requires regular tracking, analysis and review to
    tell you if you are achieving your agency goals
  • Provides the basis for deciding on QI efforts and
    the baseline information for measuring the impact
    of quality improvement activities

12
The Quality Improvement Cycle Plan Do
Study Act
Standards and measures clarify expectations Scienc
e-based literature shows effective practices
Interventions are tried based on best available
evidence
Changes are made to improve performance based on
evaluation
Evaluation data shows if the intervention is
working. Is the indicator changing?
13
Plan Do Study ActExample Immunization
1. Plan
2. Do
Completing the full DTAP immunization series
protects children and others from pertussis Goals
and targets are set
Outreach to health providers, parents and day
care can increase attention and follow through.
3. Study
Rates are monitored to see if they increased.
Surveys may be used to gather data. What worked?
What did not work?
4. Act
Materials are improved, Tracking system is made
easier to use. Return to Plan step, above, and
set new targets.
14
Building QI into Your Culture

15
Definition of Quality Improvement
  • A management process and set of disciplines that
    are coordinated to ensure that the organization
    consistently meets and exceeds customer
    requirements.
  • Uppercase QI top management philosophy
    resulting in complete organizational involvement
  • Lowercase qi conduct of improving a process at
    the microsystem level
  • Bill Riley and Russell Brewer, Review and
    Analysis of QI Techniques in Police Departments,
    JPHMP Mar/April 2009

16
Demonstrate Leadership Commitment
  • Build a QI culture
  • Connect the organizations strategic plan to
    performance improvement
  • Know and use quality principles
  • Encourage all staff to use quality improvement in
    daily work
  • Reward improvements
  • Ensure adequate QI infrastructure for quality
    assessment and improvement activities

17
Demonstrate Leadership Commitment QI Culture
  • Clearly stated and enacted constancy of purposea
    deep understanding of the vision and mission
  • Regular review of key indicator data
  • Decisions made on data rather than hunches or
    opinions
  • Long range view supports search for root causes
    and permanent solutions rather than quick fixes

18
Demonstrate Leadership Commitment QI Culture
  • Focus on systems rather than individuals
  • Continued identification of improvement
    opportunities
  • Publicize successes
  • Clear communication agency-wide regarding the
    commitment to quality and the change processes
    necessary to implement improvement

19
QI Infrastructure
  • Governance (formal/informal)
  • Oversight and accountability
  • Program structure
  • Who will do what when, with what processes for
    recommending or deciding
  • Staff
  • Support for ongoing monitoring and analysis, for
    training and facilitating improvement activities
  • Data system
  • Collect data and report in a user friendly way

20
Quality Improvement Plan
  • Goals and objectives
  • Monitoring activities associated with important
    aspects of programs/services
  • Planned QI efforts (in process, new) and
    timelines
  • Evaluation of current QI efforts
  • Annual evaluation of QI work plan and program
    description, with proposed revisions

21
Tacoma-Pierce County Health Department Quality
Improvement (QI) Initiative
22
Components for QI Culture
  • Leadership/Vision
  • Quality Improvement Training (just in time)
  • QI Infrastructure
  • Rapid Cycle Improvement Teams
  • Regular Outcomes Data Reporting
  • Celebrate Success and Expand

23
QI Training
  • QI theories concepts
  • Data tools
  • Examples
  • Project idea
  • Infrastructure
  • RCI project topic

24
QI Infrastructure
  • Quality Improvement Council (QIC)
  • Quality Improvement Plan
  • QIC Calendar
  • QI Plan Evaluation

25
Quarterly Reporting Form
  • Plan Item Name/No.
  • Indicator(s)
  • Baseline Data (if applicable)
  • Quarterly Data
  • Data Source
  • Methods Notes
  • Data Explanation/Other Comments

26
(No Transcript)
27
QI Time Line at TPCHD
WA DOH QI Training
1st RCI training
2nd RCI training
8/07
8/06
2/07
12/06
6/06
4/07
6/07
10/06
1st quarterly reports at QIC
2nd quarterly reporting cycle begins
1st quarterly reporting cycle begins
DOH Learning Collaborative
BOH update
1st RCI project starts
2nd RCI project starts
QI plan adopted at first QIC meeting
28
Multilevel Model of Integration
  • Spread can be defined as moving from common
    practices to best practices
  • Diffusion is the rate at which innovation is
    adopted within an organization or industry
  • Bill Riley and Russell Brewer, Review and
    Analysis of QI Techniques in Police Departments,
    JPHMP Mar/April 2009

29
Levels of QI Integration
30
JPHMP Article Recommendations
  • Implement QI as a comprehensive management
    philosophy rather than a project-by-project
    approach
  • Top officials must set a vision for the agency
    and exhibit constant leadership, focus
    continuously on mission
  • Use the lessons/proven methods from others
    police, etc. to overcome barriers
  • Find creative ways to secure resources for QI
  • Build on existing PH tools and capabilities
  • Conduct a self-assessment for QI readiness in
    your agency
  • Bill Riley and Russell Brewer

31
What questions do you have?
32
Using Data and Analysis to Target Improvements
33
Targeting QI Improvements
  • Remember criteria of high risk, high volume and
    problem-prone
  • Analyze data to draw conclusions
  • Use Pareto to identify vital few will get the
    greatest gain from QI efforts
  • Evaluate relevance to population and choose
    highest relevance that is not achieving goal or
    target

34
Use Data to Make Decisions
  • The Four Dimensions of Variability

Shape
Center average, median or mode
Spread range or standard deviation
Sequence trend
From Methods and Tools of Quality Improvement
Institute for Healthcare Improvement
35
Key Points for Analyzing Data
  • The average by itself is not a good summary of
    data use a variety of numerical summaries
  • Measures of center include
  • Average/Mean the total data values divided by
    the total number of observations
  • Median the middle value in the data set, half of
    the data value lie above, half lie below the
    median
  • Mode the most frequently occurring values in the
    set of data
  • Use histograms to look at overall variation
    patterns
  • Use line graphs to look at patterns over time

36
Identify the Vital Few
  • Pareto Principle - In any group of things that
    contribute to a common effect, a relative few
    contributors (20) will account for the majority
    (80) of the effect
  • These few contributors are called the vital few
    while the many other contributors are called the
    useful many
  • The vital few hold the greatest potential gain
    from quality improvement efforts
  • Pareto DiagramA fact based tool for priority
    setting in quality improvement efforts

37
Application of Pareto Principle
  • A few contributors
  • Services
  • Process steps
  • Culture
  • Items
  • Reasons
  • Theorized causes
  • Indications
  • Timeframes (hour/day)
  • Account for majority of effects
  • Problems
  • Complaints
  • Dissatisfaction
  • Rework effort
  • Cost of Quality
  • Total time
  • Errors
  • Utilization

38
Pareto Diagram Exercise
  • How to construct a Pareto Diagram
  • Turn to page 95 in the PH Memory Jogger.

39
Answering the So What?
  • Must use data to measure the outputs and outcomes
    of PH programs and activities
  • Must establish and monitor quantifiable health
    status and health determinant indicators
  • Feasible to link program outcomes and indicator
    results through rigorous use of data

40
PH Program Logic Model
41
Establishing Outcome Measures
  • Data Description and Collection Form

42
Use S-M-A-R-T Measures
  • Specific
  • Measurable
  • Attributable
  • Relevant
  • Timebound

43
Key Follow-Up Strategy
  • The most important monitoring action you can take
    is the development of program-level reports that
    are made available to every staff person in the
    organization on a regular basis
  • Supervisor and program manager reports that work
    with the same data elements
  • These reports should be used on a regular basis
    to understand whether the program activities are
    performing as expected (cost, utilization,
    outcomes, etc.)

44
Follow-Up Monitoring
  • Every month key statistics should be kept to
    monitor how things are going, and to identify
    course corrections along the way

45
Final Thoughts
  • Two approaches to improvement to avoid systems
    without passion and passion without systems.
  • Tom Peters, Thriving on Chaos

46
What questions do you have?
47
Teamwork on Next Steps
  • Finalize AIM statement
  • Develop implementation work plan
  • Identify outcome measures
  • Complete data description forms
  • Plan for monitoring key outcomes
  • Report progress at monthly web-based phone
    session
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