Continuous Quality Improvement Toolkit

This document was prepared for the U.S. Department of
Health and Human Services (HHS), HRSA, and ACF by
James Bell Associates, Inc., under ACF contract number
HHSP233201500133I. For more information, see
http://www.jbassoc.com/reports-publications/dohve
.
MODULE 2: Using Data to Drive CQI
and Identify Topics
Continuous Quality Improvement Toolkit
A Resource for Maternal, Infant, and Early Childhood
Home Visiting Program Awardees
CQI Training Overview
Introduction to CQI
Using Data to Drive CQI and Identify Topics
Creating the CQI Culture and Forming a Team
Creating SMART Aims
Understanding the PDSA Process & Measurement
CQI Tools I: Process Maps
CQI Tools II: Root Cause Analysis Tools
CQI Tools III: Key Driver Diagrams
Reliability Concepts and Sustaining Gains
1
2
3
4
5
6
7
8
9
Using Data to Drive CQI and Identify Topics: 
Learning Objectives
Define quality data and importance of data in CQI
Learn how to identify topics for CQI projects
Understand how to use data to inform CQI work
USING DATA FOR CQI
 
Why is it Important
to Use Data in CQI?
Data 
are
 
focused
 and
objective
 measures of
change in 
services and
outcomes for families.
DATA QUALITY
 
What are Quality Data?
Complete – all values are present
Accessible – available when required
Relevant – answers the proposed questions
Accurate – free from errors
Reliable – data are consistent as required
 
Collecting Quality Data
Can you give an example of a time you collected data that
were—
Incomplete
 
Inaccessible 
  
Not relevant
How are Quality
Data Collected?
Standardization
Appropriate tool selection
Staff training
Data management
processes
Quality Data Drive Better Outcomes
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Don’t wait until the
project is over to
review your data
and address data
quality issues!
What is Your Role in Data Quality?
Be comfortable with your data
collection tools. Each staff
member should know—
The purpose of the tool or data
collection form
How to administer the tool
How to score tools and interpret
the scores
How to share results with
families
Specific protocol for
entering/recording data
IDENTIFYING CQI TOPICS
 
How to Identify a Topic?
Review the data
Elicit stakeholder input
Align with strategic vision
Consider feasibility
Adapted from
http://www.ihi.org/resources/Pages/Changes/
UsingChangeConceptsforImprovement.aspx
Using Change
Concepts to
Identify Topics
Eliminate Waste
Improve Workflow
Available Home Visitors
Change Work Environment
Using Change
Concepts to
Identify Topics
(continued)
Home
Visitor/Family
Interface
Manage Time
Error Proofing
Focus on Service
Adapted from
http://www.ihi.org/resources/Pages/Changes/
UsingChangeConceptsforImprovement.aspx
Identifying CQI topics: Aim Statements
OR
MONITORING/VISUALIZING
DATA
 
“All improvement will
require change, but not all
change will result in an
improvement.”
The Improvement Guide: A Practical Approach to Enhancing Organizational Performance
 by G.L. Langley, K.M. Nolan,
T.W. Nolan, C.L. Norman, and L.P. San Francisco: Jossey-Bass Publishers, 2009.
Using Run Charts
Reminder Sticker added to HV form
1 HV, 1 day, 4 families
Reminder Sticker added to HV form
1 Team of HV, 1 day, 14 families
Question moved to HV form
All HV, all families, every visit
Percentage of home visits where parents were asked if
they had concerns about their children’s development
or learning 
Activity: Developing Run Charts
Cherryville Home Visiting Center identified increasing depression
screening rates as its CQI topic. The following data reflect the
depression screening rates for each month for the past year. Plot
the screening data on the run chart on your worksheet.
What could have
happened to explain
this increase?
Cherryville Depression Screenings
What could have
happened to explain
this increase?
Tips for Effective Measurement
Plot data over time
Seek usefulness
Integrate measurement into the
daily routine of a home visitor
Use both qualitative and
quantitative data
Adapted from http://www.ihi.org/resources/Pages/HowtoImprove/ScienceofImprovementTipsforEffectiveMeasures.aspx
1.
Data quality allows CQI teams to
measure progress towards
outcomes accurately.
2.
Reviewing data and using change
concepts are useful in identifying
topics for change strategies.
3.
Run charts or other data
visualization techniques help
monitor progress during a CQI
project.
Remember...
Additional CQI Resources
CQI Briefs: 
http://www.jbassoc.com/reports-publications/dohve
Quality Improvement Toolbox:
http://www.hrsa.gov/quality/toolbox/methodology/qualityimpr
ovement/index.html
Disclaimer
The purpose of the Design Options for Home Visiting Evaluation (DOHVE) is to
provide research and evaluation support for the Maternal, Infant, and Early
Childhood Home Visiting (MIECHV) Program. The project is funded by the
Administration for Children and Families (ACF) in collaboration with the
Health Resources and Services Administration (HRSA) under contract number
HHSP233201500133I.
This publication was developed by James Bell Associates on behalf of the U.S.
Department of Health and Human Services (HHS), HRSA, and ACF. Contents
are the sole responsibility of the authors and do not necessarily represent the
official views of HHS, HRSA, or ACF.
Slide Note

This presentation is intended to be delivered by state-level CQI support staff. The notes are a suggested script for the presenter. Please see the accompanying Facilitation Guide and handouts.

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Explore the importance of quality data in driving Continuous Quality Improvement (CQI) initiatives for maternal, infant, and early childhood home visiting programs. Learn how to identify relevant topics, collect quality data, and utilize it to inform CQI work effectively. Discover the significance of data in improving outcomes for families and sustaining gains in services.

  • Quality Data
  • Continuous Improvement
  • Home Visiting Programs
  • Data Collection
  • Outcomes

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  1. Continuous Quality Improvement Toolkit A Resource for Maternal, Infant, and Early Childhood Home Visiting Program Awardees MODULE 2: Using Data to Drive CQI and Identify Topics This document was prepared for the U.S. Department of Health and Human Services (HHS), HRSA, and ACF by James Bell Associates, Inc., under ACF contract number HHSP233201500133I. For more information, see http://www.jbassoc.com/reports-publications/dohve.

  2. CQI Training Overview 1 2 3 4 5 6 7 8 9 Introduction to CQI Using Data to Drive CQI and Identify Topics Creating the CQI Culture and Forming a Team Creating SMART Aims Understanding the PDSA Process & Measurement CQI Tools I: Process Maps CQI Tools II: Root Cause Analysis Tools CQI Tools III: Key Driver Diagrams Reliability Concepts and Sustaining Gains

  3. Using Data to Drive CQI and Identify Topics: Learning Objectives Define quality data and importance of data in CQI Learn how to identify topics for CQI projects Understand how to use data to inform CQI work

  4. USING DATA FOR CQI

  5. Why is it Important to Use Data in CQI? Data are focused and objective measures of change in services and outcomes for families.

  6. DATA QUALITY

  7. What are Quality Data? Complete all values are present Accessible available when required Relevant answers the proposed questions Accurate free from errors Reliable data are consistent as required

  8. Collecting Quality Data Can you give an example of a time you collected data that were Incomplete Inaccessible Not relevant

  9. How are Quality Data Collected? Standardization Appropriate tool selection Staff training Data management processes

  10. Quality Data Drive Better Outcomes Improved Program Processes Effective Program Monitoring Quality Data Better Outcomes

  11. Dont wait until the project is over to review your data and address data quality issues!

  12. What is Your Role in Data Quality? Be comfortable with your data collection tools. Each staff member should know The purpose of the tool or data collection form How to administer the tool How to score tools and interpret the scores How to share results with families Specific protocol for entering/recording data

  13. IDENTIFYING CQI TOPICS

  14. How to Identify a Topic? Review the data Elicit stakeholder input Align with strategic vision Consider feasibility

  15. Using Change Concepts to Identify Topics Eliminate Waste Improve Workflow Available Home Visitors Change Work Environment Adapted from http://www.ihi.org/resources/Pages/Changes/ UsingChangeConceptsforImprovement.aspx

  16. Using Change Concepts to Identify Topics (continued) Home Visitor/Family Interface Manage Time Error Proofing Focus on Service Adapted from http://www.ihi.org/resources/Pages/Changes/ UsingChangeConceptsforImprovement.aspx

  17. Identifying CQI topics: Aim Statements 90% of moms that screened positive for depressive symptoms at intake will no longer screen positive after 6 months 90% of all depression screenings will be entered within 14 days of being collected OR

  18. MONITORING/VISUALIZING DATA

  19. All improvement will require change, but not all change will result in an improvement. The Improvement Guide: A Practical Approach to Enhancing Organizational Performance by G.L. Langley, K.M. Nolan, T.W. Nolan, C.L. Norman, and L.P. San Francisco: Jossey-Bass Publishers, 2009.

  20. Using Run Charts 35% 30% 25% 20% 15% 10% 5% 0% July August September November Average Target

  21. Percentage of home visits where parents were asked if they had concerns abouttheir children s development or learning 99% 98% 96% 100% 78% 77% 74% 80% Question moved to HV form All HV, all families, every visit 60% 48% Reminder Sticker added to HV form 1 Team of HV, 1 day, 14 families 40% 19% 20% Reminder Sticker added to HV form 1 HV, 1 day, 4 families 0% Jan Feb Mar Apr May June July Aug Screening Rate Target

  22. Activity: Developing Run Charts Cherryville Home Visiting Center identified increasing depression screening rates as its CQI topic. The following data reflect the depression screening rates for each month for the past year. Plot the screening data on the run chart on your worksheet. Month Percentage of Newly Enrolled Caregivers Screened 19 Month Percentage of Newly Enrolled Caregivers Screened 38 January July February 24 August 66 March 18 September 78 April 18 October 97 May 34 November 95 June 42 December 98

  23. Cherryville Depression Screenings 98% 97% 95% 100% 78% 80% 66% What could have happened to explain this increase? 60% 42% 38% 34% 40% 24% What could have happened to explain this increase? 19% 18% 18% 20% 0% Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec 22

  24. Tips for Effective Measurement Plot data over time Seek usefulness Integrate measurement into the daily routine of a home visitor Use both qualitative and quantitative data Adapted from http://www.ihi.org/resources/Pages/HowtoImprove/ScienceofImprovementTipsforEffectiveMeasures.aspx

  25. Remember... Data quality allows CQI teams to measure progress towards outcomes accurately. Reviewing data and using change concepts are useful in identifying topics for change strategies. Run charts or other data visualization techniques help monitor progress during a CQI project. 1. 2. 3.

  26. Additional CQI Resources CQI Briefs: http://www.jbassoc.com/reports-publications/dohve Quality Improvement Toolbox: http://www.hrsa.gov/quality/toolbox/methodology/qualityimpr ovement/index.html

  27. Disclaimer The purpose of the Design Options for Home Visiting Evaluation (DOHVE) is to provide research and evaluation support for the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Program. The project is funded by the Administration for Children and Families (ACF) in collaboration with the Health Resources and Services Administration (HRSA) under contract number HHSP233201500133I. This publication was developed by James Bell Associates on behalf of the U.S. Department of Health and Human Services (HHS), HRSA, and ACF. Contents are the sole responsibility of the authors and do not necessarily represent the official views of HHS, HRSA, or ACF.

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