Literature DB >> 28583957

Mapping Neighborhood Health Geomarkers To Clinical Care Decisions To Promote Equity In Child Health.

Andrew F Beck1, Megan T Sandel2, Patrick H Ryan3, Robert S Kahn4.   

Abstract

Health disparities, which can be understood as disadvantages in health associated with one's social, racial, economic, or physical environment, originate in childhood and persist across an individual's life course. One's neighborhood may drive or influence these disparities. Information on neighborhoods that can characterize their risks-what we call place-based risks-is rarely used in patient care. Community-level data, however, could inform and personalize interventions such as arranging for mold removal from the home of a person with asthma from the moment that person's address is recorded at the site of care. Efficient risk identification could lead to the tailoring of recommendations and targeting of resources, to improve care experiences and clinical outcomes while reducing disparities and costs. In this article we highlight how data on place-based social determinants of health from national and local sources could be incorporated more directly into patient-centered care, adding precision to risk assessment and mitigation. We also discuss how this information could stimulate cross-sector interventions that promote health equity: the attainment of the highest level of health for neighborhoods, patient panels, and individuals. Finally, we draw attention to research questions that focus on the role of geographical place at the bedside. Project HOPE—The People-to-People Health Foundation, Inc.

Entities:  

Keywords:  Children’s Health; Determinants Of Health; Disparities; Geography

Mesh:

Year:  2017        PMID: 28583957      PMCID: PMC5813285          DOI: 10.1377/hlthaff.2016.1425

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  50 in total

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3.  'Pharmacy deserts' are prevalent in Chicago's predominantly minority communities, raising medication access concerns.

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5.  Using Address Information to Identify Hardships Reported by Families of Children Hospitalized With Asthma.

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6.  Geographic health information systems: a platform to support the 'triple aim'.

Authors:  Marie Lynn Miranda; Jeffrey Ferranti; Benjamin Strauss; Brian Neelon; Robert M Califf
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7.  Breathe easy at home: a web-based referral system linking clinical sites with housing code enforcement for patients with asthma.

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8.  The Good Life: Working Together to Promote Opportunity and Improve Population Health and Well-being.

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  31 in total

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2.  The Child Opportunity Index and Disparities in Pediatric Asthma Hospitalizations Across One Ohio Metropolitan Area, 2011-2013.

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3.  Spatial dynamics of access to primary care for the medicaid population.

Authors:  Nasim Sabounchi; Nasser Sharareh; Fatima Irshaidat; Serdar Atav
Journal:  Health Syst (Basingstoke)       Date:  2018-12-28

4.  Adding a Vital Sign: Considering the Utility of Place-Based Measures in Health Care Settings.

Authors:  Anita N Shah; Jeffrey Simmons; Andrew F Beck
Journal:  Hosp Pediatr       Date:  2018-01-09

5.  The Population Health OutcomEs aNd Information EXchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease.

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6.  Creating a community-based comprehensive intervention to improve asthma control in a low-income, low-resourced community.

Authors:  Tyra Bryant-Stephens; C Kenyon; A J Apter; Courtney Wolk; Yolanda S Williams; R Localio; K Toussaint; A Hui; C West; Yvonne Stewart; S McGinnis; M Gutierrez; R Beidas
Journal:  J Asthma       Date:  2019-06-26       Impact factor: 2.515

7.  Associations between neighborhood-level factors and opioid-related mortality: A multi-level analysis using death certificate data.

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8.  Pervasive Income-Based Disparities In Inpatient Bed-Day Rates Across Conditions And Subspecialties.

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Journal:  Health Aff (Millwood)       Date:  2018-04       Impact factor: 6.301

9.  Poverty, Transportation Access, and Medication Nonadherence.

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10.  Neighborhood socioeconomic deprivation is associated with worse patient and graft survival following pediatric liver transplantation.

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