Found 16 resources.
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The Housing Is team will be joined by staff from the Department of Education and Department of Housing and Urban Development to discuss evaluation considerations and best practices when evaluating multi-sector, community-based interventions such as the Promise and Choice Neighborhoods Initiatives. They will examine how they chose outcomes to track and how they set goals for the Promise and Choice Neighborhood Initiatives. They will also reflect on evaluation design considerations for these multifaceted programs.
Topics: Data sharing, Education, Metrics

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Health departments provide public health protections in a number of areas, including: preventing the spread of communicable disease, ensuring food, air, and water quality are safe, supporting maternal and child health, improving access to clinical care services, and preventing chronic disease and injury. In addition, public health departments provide local protections and services unique to their community’s needs.
Topics: Data sharing, Health, Metrics, Partnerships

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CLPHA’s Education Working Group hosts a webinar including presentations on efforts from the Chicago Housing Authority to work with residents on pursuing postsecondary opportunities, as well as an update from HUD’s Office of Policy Development & Research on data collection around tracking and increasing FAFSA utilization.
Topics: CLPHA, Cost effectiveness, Data sharing, Education, Funding, Housing, Housing Is Working Group, Low-income, Metrics, Midwest, Post-secondary, Research, Stability, Youth
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In this Focus on Unaccompanied Youth brief, we review data and information that help us answer the following
questions:
• What is the scale of youth homelessness?
• What do we know about unaccompanied youth who experience homelessness?
• What do we know about patterns of homelessness among unaccompanied youth?
• What do we know about youths’ risks for experiencing homelessness?
• What are the most significant gaps in available data and our current understanding of unaccompanied
youth who experience homelessness?
Topics: Data sharing, Homelessness, Housing, Low-income, Metrics, Research, Youth
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During this All In webinar, Caroline Fichtenberg of SIREN reviewed the current landscape of assessment tools and outcomes measures for social needs. Karis Grounds of 2-1-1 San Diego explained how they incorporated social needs assessment into their Risk Rating Scale, which helps them better serve clients while showing the impact of their services.
Topics: Data sharing, Health, Low-income, Metrics, Partnerships, West Coast
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A growing recognition of the importance of social determinants of health (SDOH) has led to a proliferation of screening and assessment tools, but there are currently no national standards for how to systematically capture and address the non-health needs of patients. To provide some guidance for communities just starting out on this path, All In: Data for Community Health hosted a webinar featuring two subject matter experts.
Topics: Data sharing, Health, Metrics, Partnerships
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This brief outlines how state agencies can employ shared measurement and joint accountability across sectors as tools for improving population health outcomes. States can use these tools to drive coordination of preventive efforts and broaden the boundaries of population health achievements that no sector, or isolated incentive, can achieve alone.
Topics: Child welfare, Data sharing, Education, Family engagement, Health, Housing, Low-income, Metrics

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This report aims to provide the Robert Wood Johnson Foundation (RWJF) and other health foundations with a perspective on the emerging intersection of social determinants of health (SDOH), health care systems, and social and other services. These fields intersect in how and what data are collected, and in ways the data are used to improve health and well-being and promote a Culture of Health.
Topics: Data sharing, Funding, Health, Medicaid / Medicare, Metrics, Nutrition, Partnerships, Place-based, Research

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Through the coordinated care model, those paying for health care get a better value and health plan consumers get higher quality care at a price we can all afford. And Oregonians are experiencing improved, more integrated care. With a focus on primary care and prevention, health plans and their providers using the coordinated care model are able to better manage chronic conditions and keep people healthy and out of the emergency department.
Topics: Cost effectiveness, Data sharing, Health, Metrics, Partnerships

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States are implementing accountable care organizations (ACOs) to
improve health care quality and better manage costs for Medicaid populations. Core components that define Medicaid ACOs are: the payment model; quality measurement approach; and the data
strategy. This brief provides an overview of these core ACO elements and profiles how nine states -Colorado, Illinois, Iowa, Maine, Minnesota, New Jersey, Oregon, Utah, and Vermont -have structured their Medicaid ACOs. For each state, it outlines key ACO characteristics; details unique payment, quality, and data approaches; and spotlights ...
Topics: Cost effectiveness, Data sharing, Health, Low-income, Medicaid / Medicare, Metrics

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A Research Review and Comment on Future Directions for Integrating Housing and Health Services
Topics: Affordable Care Act, Cost effectiveness, Data sharing, Exercise, Health, Homelessness, Housing, Low-income, Medicaid / Medicare, Mental health, Metrics, Nutrition, Obesity, Partnerships, Preventative care, Research, Supportive housing

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Reducing Pediatric Asthma through Home Improvements and Education
Topics: Asthma, Child welfare, Community development, Cost effectiveness, Data sharing, Early childhood, Education, Family engagement, Health, Healthy homes, Housing, Low-income, Medicaid / Medicare, Metrics, Partnerships, Place-based, Preventative care, Research, Safety

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Why do some neighborhoods appear able to launch effective local improvement initiatives, while others are more hampered by fragmentation and mistrust? Why can some communities mobilize diverse constituencies to influence public policy, while others cannot? Answers to these questions may be found in the specific patterns of collaboration that form among community organizations, and between these groups, schools, public agencies, and elected officials, according to MDRC, a preeminent social-policy research organization.
Topics: Asset building, Child welfare, Community development, Data sharing, Dual-generation, Education, Family engagement, Funding, Health, Housing, Legislation & Policy, Low-income, Metrics, Midwest, Mobility, Out-of-school time, Partnerships, Place-based, Preventative care, Research, Safety, Stability, Workforce development, Youth
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Increasingly, a wide range of entities—housers, educators, cities—are using data sharing as a way to increase effectiveness across systems. Data sharing exemplifies this community of practice’s intent to align systems to improve life outcomes for low-income children. We have many robust examples on the local level and this panel will discuss what data systems beyond local partners can look like and accomplish.
Dennis Culhane, Co-Principal Investigator, Actionable Intelligence for Social Policy, University of Pennsylvania School of Social Policy & Practice
Topics: Asset building, CLPHA, Data sharing, Education, Housing, Low-income, Metrics, Partnerships, Research

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Topics: CLPHA, Data sharing, Education, Housing, Metrics, Partnerships

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Topics: CLPHA, Data sharing, Education, Housing, Metrics, Partnerships
