Home Research Research Library Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants 2020 Author(s) Saha, Somava, Cohen, Bruce B, Nagy, Julia, McPHERSON, Marianne E, and Phillips, Robert L Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Cost Of Care, and Quality Of Care Volume Milbank Quarterly Source Milbank Quarterly Well-being In the Nation (WIN) offers the first parsimonious set of vetted common measures to improve population health and social determinants across sectors at local, state, and national levels and is driven by what communities need to improve health, well-being, and equity. The WIN measures were codesigned with more than 100 communities, federal agencies, and national organizations across sectors, in alignment with the National Committee on Vital and Health Statistics, the Foundations for Evidence-Based Policymaking Act, and Healthy People 2030. WIN offers a process for a collaborative learning measurement system to drive a learning health and well-being system across sectors at the community, state, and national levels. The WIN development process identified critical gaps and opportunities in equitable community-level data infrastructure, interoperability, and protections that could be used to inform the Federal Data Strategy. ABFM Research Read all 2020 WORKING TO ADVANCE THE HEALTH OF RURAL AMERICANS: AN UPDATE FROM THE ABFM Go to WORKING TO ADVANCE THE HEALTH OF RURAL AMERICANS: AN UPDATE FROM THE ABFM 2013 Do residents who train in safety net settings return for practice? Go to Do residents who train in safety net settings return for practice? 2013 Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care Go to Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
Author(s) Saha, Somava, Cohen, Bruce B, Nagy, Julia, McPHERSON, Marianne E, and Phillips, Robert L Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Cost Of Care, and Quality Of Care Volume Milbank Quarterly Source Milbank Quarterly
ABFM Research Read all 2020 WORKING TO ADVANCE THE HEALTH OF RURAL AMERICANS: AN UPDATE FROM THE ABFM Go to WORKING TO ADVANCE THE HEALTH OF RURAL AMERICANS: AN UPDATE FROM THE ABFM 2013 Do residents who train in safety net settings return for practice? Go to Do residents who train in safety net settings return for practice? 2013 Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care Go to Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
2020 WORKING TO ADVANCE THE HEALTH OF RURAL AMERICANS: AN UPDATE FROM THE ABFM Go to WORKING TO ADVANCE THE HEALTH OF RURAL AMERICANS: AN UPDATE FROM THE ABFM
2013 Do residents who train in safety net settings return for practice? Go to Do residents who train in safety net settings return for practice?
2013 Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care Go to Relying on NPs and PAs Does Not Avoid the Need for Policy Solutions for Primary Care
2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
