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Hoornbeek J, Chiyaka ET, Lanese B, Vreeland A, Filla J. Financing community partnerships for health equity: Findings and insights from cross-sector professionals. Health Serv Res 2024; 59 Suppl 1:e14237. [PMID: 37867323 PMCID: PMC10796277 DOI: 10.1111/1475-6773.14237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2023] Open
Abstract
OBJECTIVE To enhance understanding of financial alignment challenges facing cross-sector partnerships (CSPs) pursuing health equity and offer insights to guide research and practice. DATA SOURCES AND STUDY SETTING We collected data through surveys and interviews with cross-sector professionals in 16 states, 2020-2021. STUDY DESIGN We surveyed 51 CSP leaders and received 26 responses. Following administration of the surveys to CSP leaders, we also conducted interviews with cross-sector professionals. The data are analyzed descriptively, comparatively, and qualitatively using thematic analysis. DATA COLLECTION/EXTRACTION METHODS For quantitative survey data, we compare partnership responses, differentiating perceived levels of alignment among partnerships certified by the Pathways Community HUB Institute (PCHI), partnerships interested in certification, and partnerships without connection to the PCHI® Model of care coordination. For interviews, we engaged CSP professionals and those who fund their work. Two research team members took notes for interviews, which were combined and made available for review by those interviewed. Data were analyzed independently by two team members who met to integrate, identify, and finalize thematic findings. PRINCIPAL FINDINGS Our work supports previous findings that financing is a challenge for CSPs, while also suggesting that PCHI-certified partnerships may perceive greater progress in financial alignment than others. We identify four major financial barriers: limited and competitive funding; state health service delivery structures; cultural and practice divides across healthcare, social service, and public health sectors; and needs for further evidence of cross-sector service impacts on client health and costs. We also offer a continuum of measures of financial sustainability progress and identify key issues relating to financial incentivization/accountability. CONCLUSION Findings suggest a need for public policy reviews and improvements to aid CSPs in addressing financial alignment challenges. We also offer a measurement framework and ideas to guide research and practice on financial alignment, based on empirical data.
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Affiliation(s)
- John Hoornbeek
- Health Policy and Management, Center for Public Policy and Health, College of Public HealthKent State UniversityKentOhioUSA
| | - Edward T. Chiyaka
- Department of Social Sciences and Outpatient Practice, School of PharmacyWingate UniversityWingateNorth CarolinaUSA
| | - Bethany Lanese
- Health Policy and Management, Center for Public Policy and Health, College of Public HealthKent State UniversityKentOhioUSA
| | | | - Joshua Filla
- Center for Public Policy and Health, College of Public HealthKent State UniversityKentOhioUSA
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Participant Perspectives on Community Health Workers' Critical Role in Their Experience of the Pathways Program to Address Complex Needs. J Ambul Care Manage 2023; 46:210-220. [PMID: 36939642 DOI: 10.1097/jac.0000000000000464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
This study aimed to describe participants' experiences of Pathways, a community hub care coordination model, including its impact on their lives and their relationship with the Pathways community health worker (CHW). The research team conducted semistructured, in-depth interviews with Pathways participants (n = 13) and analyzed interviews using thematic analysis. Interviews reveal how Pathways helps individuals navigate systems more confidently, increases access to needed resources, and improves well-being. CHWs defined participants' experience, providing a safe, reliable setting to make progress toward goals. Our findings support the evidence base for Pathways as an effective model of care coordination for people with complex needs.
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Joseph JJ, Gray DM, Williams A, Zhao S, McKoy A, Odei JB, Brock G, Lavender D, Walker DM, Nawaz S, Baker C, Hoseus J, Price T, Gregory J, Nolan TS. Addressing non-medical health-related social needs through a community-based lifestyle intervention during the COVID-19 pandemic: The Black Impact program. PLoS One 2023; 18:e0282103. [PMID: 36893165 PMCID: PMC9997965 DOI: 10.1371/journal.pone.0282103] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 02/06/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Non-medical health-related social needs (social needs) are major contributors to worse health outcomes and may have an adverse impact on cardiovascular risk factors and cardiovascular disease. The present study evaluated the effect of a closed-loop community-based pathway in reducing social needs among Black men in a lifestyle change program. METHODS Black men (n = 70) from a large Midwestern city participated in Black Impact, a 24-week community-based team lifestyle change single-arm pilot trial adapted from the Diabetes Prevention Program and American Heart Association's (AHA) Check, Change, Control Blood Pressure Self-Management Program, which incorporates AHA's Life's Simple 7 (LS7) framework. Participants were screened using the Centers for Medicare and Medicaid Services (CMS) Accountable Health Communities Health-Related Social Needs Screening Tool. Participants with affirmative responses were referred to a community hub pathway to address social needs. The primary outcome for this analysis is change in social needs based on the CMS social needs survey at 12 and 24 weeks using mixed effect logistic regressions with random intercepts for each participant. Change in a LS7 score (range 0-14) from baseline to 12 and 24 weeks was evaluated using a linear mixed-effects model stratified by baseline social needs. RESULTS Among 70 participants, the mean age of participants was 52 ±10.5 years. The men were sociodemographically diverse, with annual income ranging from <$20,000 (6%) to ≥$75,000 (23%). Forty-three percent had a college degree or higher level of education, 73% had private insurance, and 84% were employed. At baseline 57% of participants had at least one social need. Over 12 and 24 weeks, this was reduced to 37% (OR 0.33, 95%CI: 0.13, 0.85) and 44% (OR 0.50, 95%CI: 0.21, 1.16), respectively. There was no association of baseline social needs status with baseline LS7 score, and LS7 score improved over 12 and 24 weeks among men with and without social needs, with no evidence of a differential effect. CONCLUSIONS The Black Impact lifestyle change single-arm pilot program showed that a referral to a closed-loop community-based hub reduced social needs in Black men. We found no association of social needs with baseline or change in LS7 scores. Further evaluation of community-based strategies to advance the attainment of LS7 and address social needs among Black men in larger trials is warranted.
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Affiliation(s)
- Joshua J. Joseph
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
- * E-mail:
| | - Darrell M. Gray
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
- The Ohio State University James Center for Cancer Health Equity, Columbus, Ohio, United States of America
| | - Amaris Williams
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
| | - Songzhu Zhao
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
| | - Alicia McKoy
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
- The Ohio State University James Center for Cancer Health Equity, Columbus, Ohio, United States of America
| | - James B. Odei
- The Ohio State University College of Public Health, Columbus, Ohio, United States of America
| | - Guy Brock
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
| | - Dana Lavender
- The African American Male Wellness Agency, National Center for Urban Solutions, Columbus, Ohio, United States of America
| | - Daniel M. Walker
- The Ohio State University College of Medicine, Columbus, Ohio, United States of America
| | - Saira Nawaz
- The Ohio State University College of Public Health, Columbus, Ohio, United States of America
| | - Carrie Baker
- Healthcare Collaborative of Greater Columbus, Columbus, Ohio, United States of America
| | - Jenelle Hoseus
- Healthcare Collaborative of Greater Columbus, Columbus, Ohio, United States of America
| | - Tanikka Price
- Healthcare Collaborative of Greater Columbus, Columbus, Ohio, United States of America
| | - John Gregory
- The African American Male Wellness Agency, National Center for Urban Solutions, Columbus, Ohio, United States of America
| | - Timiya S. Nolan
- The Ohio State University James Center for Cancer Health Equity, Columbus, Ohio, United States of America
- The Ohio State University College of Nursing, Columbus, Ohio, United States of America
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4
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Falletta L, Redding M, Cairns J, Albugmi M, Redding S, Gittelman M, Beck A, Garner A, Arora R, Chiyaka ET, Filla J, Hoornbeek J. Embracing the complexity of modifiable risk reduction: A registry of modifiable risks for 0-12 month infants. Prev Med 2020; 137:106118. [PMID: 32387297 DOI: 10.1016/j.ypmed.2020.106118] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 02/01/2020] [Accepted: 04/26/2020] [Indexed: 10/24/2022]
Abstract
Despite relatively high medical expenditures, the United States performs poorly on population health indicators relative to many other countries. A key step in addressing this situation involves determining impactful and cost-effective interventions for at-risk populations. This requires an understanding of medical, social, behavioral health and safety domains of risk. Of immediate interest are those risks that are modifiable at the individual and family levels and could be reduced through intervention and broader care coordination efforts. Unfortunately, a comprehensive list of such risks does not exist in the published literature. Using multiple interrelated methods, including clinical, social, and care coordination experience, expert elaboration and validation, and reviews of existing assessments and literature, we present what we believe to be the most comprehensive listing of individually modifiable risk factors (IMRFs), relevant to care coordination, available for individuals aged 0-12 months. The list addresses IMRFs within four broad domains of risk (medical, social, behavioral health, and safety). Comprehensive risk registries such as the one presented here can enhance our collective efforts to identify and mitigate risks for specific populations. Such registries can also support research to build understandings of the impact of risks, individually and in interconnected signature combinations. The risk registry presented here and the enhanced understandings flowing from it may yield useful insights for clinicians, social service providers and researchers seeking a whole person approach to care, as well as for payers and policymakers seeking to enable health policy and payment reforms to improve population health.
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Affiliation(s)
- Lynn Falletta
- Kent State University, College of Public Health, United States of America
| | - Mark Redding
- Rebecca D. Considine Research Center Akron Children's Hospital, United States of America.
| | - James Cairns
- Kent State University, College of Public Health, United States of America
| | - Mutlaq Albugmi
- Kent State University, College of Public Health, United States of America
| | - Sarah Redding
- Pathways Community HUB Institute, United States of America
| | | | - Andrew Beck
- Cincinnati Childrens, United States of America
| | - Andrew Garner
- University Hospital Rainbow Babies and Children, United States of America
| | - Ranjeet Arora
- Kent State University, College of Public Health, United States of America
| | - Edward T Chiyaka
- Kent State University, College of Public Health, United States of America
| | - Joshua Filla
- Kent State University, College of Public Health, United States of America
| | - John Hoornbeek
- Kent State University, College of Public Health, United States of America
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5
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Vineis P, Avendano-Pabon M, Barros H, Bartley M, Carmeli C, Carra L, Chadeau-Hyam M, Costa G, Delpierre C, D'Errico A, Fraga S, Giles G, Goldberg M, Kelly-Irving M, Kivimaki M, Lepage B, Lang T, Layte R, MacGuire F, Mackenbach JP, Marmot M, McCrory C, Milne RL, Muennig P, Nusselder W, Petrovic D, Polidoro S, Ricceri F, Robinson O, Stringhini S, Zins M. Special Report: The Biology of Inequalities in Health: The Lifepath Consortium. Front Public Health 2020; 8:118. [PMID: 32478023 PMCID: PMC7235337 DOI: 10.3389/fpubh.2020.00118] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 03/24/2020] [Indexed: 12/16/2022] Open
Abstract
Funded by the European Commission Horizon 2020 programme, the Lifepath research consortium aimed to investigate the effects of socioeconomic inequalities on the biology of healthy aging. The main research questions included the impact of inequalities on health, the role of behavioral and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and policies. The project adopted a life-course and comparative approach, considering lifetime effects from childhood and adulthood, and pooled data on up to 1.7 million participants of longitudinal cohort studies from Europe, USA, and Australia. These data showed that socioeconomic circumstances predicted mortality and functional decline as strongly as established risk factors currently targeted by global prevention programmes. Analyses also looked at socioeconomically patterned biological markers, allostatic load, and DNA methylation using richly phenotyped cohorts, unraveling their association with aging processes across the life-course. Lifepath studies suggest that socioeconomic circumstances are embedded in our biology from the outset-i.e., disadvantage influences biological systems from molecules to organs. Our findings have important implications for policy, suggesting that (a) intervening on unfavorable socioeconomic conditions is complementary and as important as targeting well-known risk factors, such as tobacco and alcohol consumption, low fruit and vegetable intake, obesity and a sedentary lifestyle, and that (b) effects of preventive interventions in early life integrate interventions in adulthood. The report has an executive summary that refers to the different sections of the main paper.
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Affiliation(s)
- Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Mauricio Avendano-Pabon
- Department of Social Sciences, Health and Medicine, King's College London, London, United Kingdom
| | - Henrique Barros
- EPIUnit – Institute of Public Health University of Porto, Porto, Portugal
| | - Mel Bartley
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Cristian Carmeli
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | | | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Giuseppe Costa
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
| | - Cyrille Delpierre
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | | | - Silvia Fraga
- EPIUnit – Institute of Public Health University of Porto, Porto, Portugal
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Marcel Goldberg
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
| | | | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Benoit Lepage
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Thierry Lang
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Richard Layte
- Department of Sociology, School of Social Sciences and Philosophy, Trinity College Dublin, Dublin, Ireland
| | - Frances MacGuire
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Johan P. Mackenbach
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Cathal McCrory
- Department of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Roger L. Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Peter Muennig
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Wilma Nusselder
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Dusan Petrovic
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | - Silvia Polidoro
- Molecular Epidemiology and Exposomics Unit, Italian Institute for Genomic Medicine, Turin, Italy
| | - Fulvio Ricceri
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
- Department of Epidemiology, ASL TO3, Turin, Italy
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Silvia Stringhini
- Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland
| | - Marie Zins
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
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6
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Vineis P, Avendano-Pabon M, Barros H, Bartley M, Carmeli C, Carra L, Chadeau-Hyam M, Costa G, Delpierre C, D'Errico A, Fraga S, Giles G, Goldberg M, Kelly-Irving M, Kivimaki M, Lepage B, Lang T, Layte R, MacGuire F, Mackenbach JP, Marmot M, McCrory C, Milne RL, Muennig P, Nusselder W, Petrovic D, Polidoro S, Ricceri F, Robinson O, Stringhini S, Zins M. Special Report: The Biology of Inequalities in Health: The Lifepath Consortium. Front Public Health 2020. [PMID: 32478023 DOI: 10.3389/fpubh.2020.00118/full] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Funded by the European Commission Horizon 2020 programme, the Lifepath research consortium aimed to investigate the effects of socioeconomic inequalities on the biology of healthy aging. The main research questions included the impact of inequalities on health, the role of behavioral and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and policies. The project adopted a life-course and comparative approach, considering lifetime effects from childhood and adulthood, and pooled data on up to 1.7 million participants of longitudinal cohort studies from Europe, USA, and Australia. These data showed that socioeconomic circumstances predicted mortality and functional decline as strongly as established risk factors currently targeted by global prevention programmes. Analyses also looked at socioeconomically patterned biological markers, allostatic load, and DNA methylation using richly phenotyped cohorts, unraveling their association with aging processes across the life-course. Lifepath studies suggest that socioeconomic circumstances are embedded in our biology from the outset-i.e., disadvantage influences biological systems from molecules to organs. Our findings have important implications for policy, suggesting that (a) intervening on unfavorable socioeconomic conditions is complementary and as important as targeting well-known risk factors, such as tobacco and alcohol consumption, low fruit and vegetable intake, obesity and a sedentary lifestyle, and that (b) effects of preventive interventions in early life integrate interventions in adulthood. The report has an executive summary that refers to the different sections of the main paper.
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Affiliation(s)
- Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Mauricio Avendano-Pabon
- Department of Social Sciences, Health and Medicine, King's College London, London, United Kingdom
| | - Henrique Barros
- EPIUnit - Institute of Public Health University of Porto, Porto, Portugal
| | - Mel Bartley
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Cristian Carmeli
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | | | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Giuseppe Costa
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
| | - Cyrille Delpierre
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | | | - Silvia Fraga
- EPIUnit - Institute of Public Health University of Porto, Porto, Portugal
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Marcel Goldberg
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
| | | | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Benoit Lepage
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Thierry Lang
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Richard Layte
- Department of Sociology, School of Social Sciences and Philosophy, Trinity College Dublin, Dublin, Ireland
| | - Frances MacGuire
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Johan P Mackenbach
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Cathal McCrory
- Department of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Peter Muennig
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Wilma Nusselder
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Dusan Petrovic
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | - Silvia Polidoro
- Molecular Epidemiology and Exposomics Unit, Italian Institute for Genomic Medicine, Turin, Italy
| | - Fulvio Ricceri
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
- Department of Epidemiology, ASL TO3, Turin, Italy
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Silvia Stringhini
- Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland
| | - Marie Zins
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
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Abstract
A well-implemented and adequately funded medical home not only is the best approach to optimize the health of the individual patient but also can function as an effective instrument for improving population health. Key financing elements to providing quality, effective, comprehensive care in the pediatric medical home include the following: (1) first dollar coverage without deductibles, copays, or other cost-sharing for necessary preventive care services as recommended by Bright Futures: Guidelines for Health Supervision of Infants, Children, and Adolescents; (2) adoption of a uniform definition of medical necessity across payers that embraces services that promote optimal growth and development and prevent, diagnose, and treat the full range of pediatric physical, mental, behavioral, and developmental conditions, in accord with evidence-based science or evidence-informed expert opinion; (3) payment models that promote appropriate use of pediatric primary care and pediatric specialty services and discourage inappropriate, inefficient, or excessive use of medical services; and (4) payment models that strengthen the patient- and family-physician relationship and do not impose additional administrative burdens that will only erode the effectiveness of the medical home. These goals can be met by designing payment models that provide adequate funding of the cost of medical encounters, care coordination, population health services, and quality improvement activities; provide incentives for quality and effectiveness of care; and ease administrative burdens.
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Affiliation(s)
- Jonathan Price
- Department of Pediatrics, Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, Ohio
| | - Mary L Brandt
- Department of Surgery, Texas Children's Hospital, Houston, Texas; and
| | - Mark L Hudak
- Department of Pediatrics, College of Medicine, University of Florida-Jacksonville, Jacksonville, Florida
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8
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Abstract
In Toledo and other communities nationwide, a new approach to care coordination is reaching patients where they live.
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Affiliation(s)
- T R Goldman
- This article is part of a series on transforming health systems published with support from The Robert Wood Johnson Foundation. This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt, and build upon this work, for commercial use, provided the original work is properly cited. See https://creativecommons.org/licenses/by/4.0/ . T. R. Goldman ( ) is a Washington, D.C.-based freelance journalist
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