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The Michigan MIECHV program is dedicated to improving home visiting services through Continuous Quality Improvement (CQI) Learning Collaboratives. These collaboratives aim to ensure models are delivered with fidelity, enhance family outcomes, and meet performance benchmarks. Over three years, Michigan aims to show improvement in 4 out of 6 benchmark areas related to maternal and child health, family economic self-sufficiency, and community resource coordination. Join us in collaborative efforts to refine practices, share insights, and promote effective strategies for better outcomes for families.
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Michigan MIECHV CQI Learning Collaboratives January 14, 2014 Michigan MIECHV Grantee Meeting
Why CQI • CQI methods and tools are used to ensure: • models are delivered with fidelity, providing the best services possible to families • the home visiting system meets performance Benchmarks, demonstrating positive outcomes for families • Funding expectation: • In 3 years, Michigan will demonstrate improvement in 4 out of 6 benchmark areas by making improvements in over half the constructs in each benchmark area
MIECHV Benchmarks: A Reminder • Improved maternal and newborn health • Prevention of child injuries, child abuse, neglect, or maltreatment, and reduction of ER visits • Improvements in school readiness and achievements • Reduction in crime or domestic violence • Improvements in family economic self-sufficiency • Improvements in the coordination and referral for other community resources and supports
MIECHV Constructs: A Reminder 1. Improving maternal and newborn health • Prenatal care • Parental use of alcohol, tobacco, or illicit drugs • Preconception care • Inter-birth intervals • Screening for maternal depressive symptoms • Breastfeeding • Well-child visits • Maternal and child health insurance status
Strategy • Local & State CQI projects: • Review data on a quarterly basis • Identify opportunities for improvement in Benchmark areas • Use QI methods to make improvements • System-wide CQI projects: • QI Learning Collaborative model
QI Learning CollaborativeWhat is it? • Used widely in health care settings to translate what is known about ‘what works’ into practice • Use in public health and home visiting settings is on the rise • Brings practitioners together to share insight into a common challenge, to study gaps, and test ideas for improvement
Benefits of Participating • Increase staff knowledge and competency in using QI • Awareness of resources • Hear what others have tried; what worked; what didn’t; what challenges and solutions were experienced • Ask questions, share stories, get feedback • Get tools you can tailor to your home visiting program • Network with other home visiting programs and models • Greater awareness and visibility in the state of issues affecting the quality of home visiting services received by families • Help Michigan work toward making improvements on the MIECHV Benchmarks and Constructs
QI Learning Collaborative Components • 3 in-person Meetings at Grantee Meetings • January 14, 2014 • May 13, 2014 • September 18, 2014 • 2 Action Periods • Implement tests of improvement • Completion of a QI Project • Use QI tools • Creation of a QI Team Charter and Story Board • Ongoing Data Collection • MIECHV Data Collection Form • Data reports provided at each meeting
In-person QI Learning Collaborative Meetings • Initial Meeting (January 14, 2014) • Work together to: • Write an aim statement • Examine the current approach (process & identify root causes to the problem) • Identify potential solutions • Develop an improvement theory • 2nd Meeting (May 13, 2014) • Work together to: • Review data • Discuss what has worked and what has not worked • Modify improvement theories as necessary • 3rd Meeting (September 18, 2014) • Work together to: • Review data • Study the results of the test • Act on the results • Celebrate!
Learning Collaborative Topic Areas • Selected based on baseline data: • Where can we improve as a system? • Potential Topics: • Breastfeeding • ER Utilization • Social & Concrete Support • Service Referrals • Site preferences & site data