Literature DB >> 23596361

Neighborhood-level hot spot maps to inform delivery of primary care and allocation of social resources.

Nancy S Hardt1, Shehzad Muhamed, Rajeeb Das, Roland Estrella, Jeffrey Roth.   

Abstract

Challenges to health care access in the US are forcing local policymakers and service delivery systems to find novel ways to address the shortage of primary care clinicians. The uninsured and underinsured face the greatest obstacles in accessing services. Geographic information systems mapping software was used to illustrate health disparities in Alachua County, FL; galvanize a community response; and direct reallocation of resources. The University of Florida Family Data Center created "hot spot" density maps of important health and social indicators to highlight the location of disparities at the neighborhood level. Maps were produced for Medicaid births, teen births, low birth weight, domestic violence incidents, child maltreatment reports, unexcused school absences, and juvenile justice referrals. Maps were widely shared with community partners, including local elected officials, law enforcement, educators, child welfare agencies, health care providers, and service organizations. This data sharing resulted in advocacy efforts to bring resources to the greatest-need neighborhoods in the county. Novel public-private partnerships were forged between the local library district, children and family service providers, and university administrators. Two major changes are detailed: a family resource center built in the neighborhood of greatest need and a mobile clinic staffed by physicians, nurses, physician assistants, health educators, and student and faculty volunteers. Density maps have several advantages. They require minimal explanation. Anyone familiar with local geographic features can quickly identify locations displaying health disparities. Personalizing health disparities by locating them geographically allows a community to translate data to action to improve health care access.

Entities:  

Mesh:

Year:  2013        PMID: 23596361      PMCID: PMC3627788          DOI: 10.7812/TPP/12-090

Source DB:  PubMed          Journal:  Perm J        ISSN: 1552-5767


  19 in total

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3.  Using geographic information systems to design population-based interventions.

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5.  Using GIS to facilitate community-based public health planning of diabetes intervention efforts.

Authors:  Daniel J Kruger; Jan S Brady; Lauren A Shirey
Journal:  Health Promot Pract       Date:  2007-05-09

Review 6.  Geographic information systems (GIS) for Health Promotion and Public Health: a review.

Authors:  Candace I J Nykiforuk; Laura M Flaman
Journal:  Health Promot Pract       Date:  2009-06-22

7.  Neighborhood mapping and evaluation: a methodology for participatory community health initiatives.

Authors:  Robert E Aronson; Anne B Wallis; Patricia J O'Campo; Peter Schafer
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8.  The Population Health Approach: health GIS as a bridge from theory to practice.

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9.  Exploring the role of GIS during community health assessment problem solving: experiences of public health professionals.

Authors:  Matthew Scotch; Bambang Parmanto; Cynthia S Gadd; Ravi K Sharma
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10.  A Web-based graphical user interface for evidence-based decision making for health care allocations in rural areas.

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  17 in total

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Journal:  J Health Care Poor Underserved       Date:  2015-08

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6.  Geographic Variation in Hospitalization for Lower Respiratory Tract Infections Across One County.

Authors:  Andrew F Beck; Todd A Florin; Suzanne Campanella; Samir S Shah
Journal:  JAMA Pediatr       Date:  2015-09       Impact factor: 16.193

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

Authors:  Andrew F Beck; Carley L Riley; Stuart C Taylor; Cole Brokamp; Robert S Kahn
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8.  Spatial variation of pneumonia hospitalization risk in Twin Cities metro area, Minnesota.

Authors:  P Y Iroh Tam; B Krzyzanowski; J M Oakes; L Kne; S Manson
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9.  Factors that Influence Intake to One Municipal Animal Control Facility in Florida: A Qualitative Study.

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10.  Utilizing spatial statistics to identify cancer hot spots: a surveillance strategy to inform community-engaged outreach efforts.

Authors:  Corrine W Ruktanonchai; Deepa K Pindolia; Catherine W Striley; Folakemi T Odedina; Linda B Cottler
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