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Tegan Callahan, AMCHP Caroline Stampfel, AMCHP Andria Cornell, AMCHP Bill Sappenfield, USF . State MCH indicators of life course. Presentation Goals. Share process for development of Life Course Measures Review summary final indicators selected Discuss public feedback received
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Tegan Callahan, AMCHP Caroline Stampfel, AMCHP Andria Cornell, AMCHP Bill Sappenfield, USF State MCH indicators of life course
Presentation Goals Share process for development of Life Course Measures Review summary final indicators selected Discuss public feedback received Share immediate project next steps
Purpose of metrics project Develop tools to help state MCH programs and their partners emphasize a life course health perspective throughout: Assessment of risks, capacity, & services Planning programs Monitoring and evaluation of outcomes Engaging and educating partners
When a final set of life course indicators exists, what will the impact be for the health of moms, kids, and families throughout your communities? “Support MCH program priorities to improve health outcomes, integrate and coordinate care systems, eliminate racism, and move toward equity.”
When a final set of life course indicators exists, what will the impact be for the health of moms, kids, and families throughout your communities? “Help state health departments…come out of their silos and think outside the box to better design programs and interventions that impact the life course trajectory for mothers, children, and families.”
Process: Phase 1 Expert Panel convened 2012
How is Life Course defined for this project? Core principles of a life course approach A life course approach is based on a theoretical model that takes into consideration the full spectrum of factors that impact an individual’s health, not just at one stage of life (e.g. adolescence), but through all stages of life (e.g. infancy, childhood, adolescence, childbearing age, elderly age). Life course theory shines light on health and disease patterns – particularly health disparities – across populations and over time. Life course theory also points to broad family, social, economic and environmental factors as underlying causes of persistent inequalities in health for a wide range of diseases and conditions across population groups
Expert Panel convened Expert Panel meeting Knowledge transfer Final indicators August 2013 20122013 State Teams Selected Proposed indicators Screened indicators Write indicators Select indicators Public comments—Review
Criteria: Data Data Availability: Can the indicator be calculated in state and local public health agencies? Quality: Accuracy and reliability including consistency of data quality and reporting across jurisdiction. Simplicity: Level of complexity in both calculating and explaining the indicator.
Criteria: Life Course Implications for equity: How well the indicator reflects and has implications for equity-related measures such as social, psychosocial, and environmental conditions, poverty, disparities, and racism. Public health impact: Impact of a positive change in the indicator due to program or policy interventions. Ability to leverage resources or realignment: How well the indicator reflects programs, services, and policies that expand beyond the traditional MCH focus?
Criteria: Life Course Improve the health and wellness of an individual and/or their children (intergenerational health): How well the indicator reflects the time and trajectory components of the life course theory with an emphasis on indicators that address critical and transitional periods throughout life. Consistent with evidence base: How well the indicator is connected to our current, scientific understanding of life course health.
Selection Progress 413 proposals (discussion/screening) 104 write ups (scoring/voting) 59 Considered, not selected Life Course Indicators
Challenges Data availability at a state and local level Availability of non-traditional MCH data Data quality, simplicity Overlap with other measures Issues/root causes highlighted by other measures Research is still in the early stages
Public Comment Results • Changes to numerators/denominators • Alternative data sources • Confirmation of process • Delineation of FAQs
The Final Set • Childhood experiences (3) • Community health policy (2) • Community wellbeing (6) • Discrimination and segregation (5) • Early life services (3) • Economic experiences (3) • Family wellbeing (11) • Health care access and quality (8) • Mental health (4) • Organizational measurement capacity (3) • Reproductive life experiences (8) • Social capital (3) 59 indicators across 12 categories