Literature DB >> 27343158

Geographic variation in the demand for emergency care: A local population-level analysis.

David C Lee1, Kelly M Doran2, Daniel Polsky3, Emmanuel Cordova4, Brendan G Carr5.   

Abstract

BACKGROUND: Geographic variation in healthcare has been traditionally studied in large areas such as hospital referral regions or service areas. These analyses are limited by variation that exists within local communities.
MATERIALS AND METHODS: Using a New York claims database, we analyzed variation in emergency department use using 35 million visits from 2008 to 2012 among 4797 Census tracts, a smaller unit than usually studied. Using multivariate analysis, we studied associations between population characteristics and proximity to healthcare with rates of emergency department use. We analyzed how factors associated with emergency department utilization differed among urban, suburban, and rural regions.
RESULTS: We found significant geographic variation in emergency department use among Census tracts. Public insurance and uninsurance were correlated with high emergency department utilization across all types of regions. We found that race, ethnicity, and poverty were only associated with high emergency department use in urban regions. In suburban and rural regions, a lower proportion of elderly residents and shorter distances to the nearest ED were correlated with high emergency department use.
CONCLUSIONS: Significant variation in emergency department use exists locally when studied within small geographic areas. Insurance type is significantly associated with variation in emergency department use across urban, suburban, and rural regions, whereas the significance of other factors depended on urbanicity. IMPLICATIONS: Studying geographic variation at a more granular level can lead to better understanding of local population health, drivers of healthcare utilization, and inform targeted interventions. Given heterogeneity in emergency department use by Census tract, policies directed at shaping acute care utilization must consider these local geographic differences.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Emergency care; GIS; Geographic variation; Population health

Mesh:

Year:  2015        PMID: 27343158     DOI: 10.1016/j.hjdsi.2015.05.003

Source DB:  PubMed          Journal:  Healthc (Amst)        ISSN: 2213-0764


  9 in total

1.  Using Indirect Measures to Identify Geographic Hot Spots of Poor Glycemic Control: Cross-sectional Comparisons With an A1C Registry.

Authors:  David C Lee; Qun Jiang; Bahman P Tabaei; Brian Elbel; Christian A Koziatek; Kevin J Konty; Winfred Y Wu
Journal:  Diabetes Care       Date:  2018-04-24       Impact factor: 19.112

2.  Using Geospatial Analysis and Emergency Claims Data to Improve Minority Health Surveillance.

Authors:  David C Lee; Stella S Yi; Jessica K Athens; Andrew J Vinson; Stephen P Wall; Joseph E Ravenell
Journal:  J Racial Ethn Health Disparities       Date:  2017-08-08

3.  Modelling changes in healthcare demand through geographic data extrapolation.

Authors:  Geraint Ian Palmer; Paul Harper; Vincent Knight; Cathy Brooks
Journal:  Health Syst (Basingstoke)       Date:  2021-05-02

4.  The Influence of Social Determinants of Health on Emergency Departments Visits in a Medicaid Sample.

Authors:  Melissa L McCarthy; Zhaonian Zheng; Marcee E Wilder; Angelo Elmi; Yixuan Li; Scott L Zeger
Journal:  Ann Emerg Med       Date:  2021-03-11       Impact factor: 6.762

5.  Geospatial analysis of emergency department visits for targeting community-based responses to the opioid epidemic.

Authors:  Daniel A Dworkis; Lauren A Taylor; David A Peak; Benjamin Bearnot
Journal:  PLoS One       Date:  2017-03-31       Impact factor: 3.240

6.  Improving the geographical precision of rural chronic disease surveillance by using emergency claims data: a cross-sectional comparison of survey versus claims data in Sullivan County, New York.

Authors:  David C Lee; Justin M Feldman; Marcela Osorio; Christian A Koziatek; Michael V Nguyen; Ashwini Nagappan; Christopher J Shim; Andrew J Vinson; Lorna E Thorpe; Nancy A McGraw
Journal:  BMJ Open       Date:  2019-11-18       Impact factor: 2.692

7.  North to south gradient and local waves of influenza in Chile.

Authors:  Christian Garcia-Calavaro; Lee H Harrison; Darya Pokutnaya; Christina F Mair; Maria M Brooks; Wilbert van Panhuis
Journal:  Sci Rep       Date:  2022-02-14       Impact factor: 4.379

8.  Identifying Geographic Disparities in Diabetes Prevalence Among Adults and Children Using Emergency Claims Data.

Authors:  David C Lee; Mary Pat Gallagher; Anjali Gopalan; Marcela Osorio; Andrew J Vinson; Stephen P Wall; Joseph E Ravenell; Mary Ann Sevick; Brian Elbel
Journal:  J Endocr Soc       Date:  2018-04-17

9.  Using geographic information systems to map older people's emergency department attendance for future health planning.

Authors:  Eoin O'Mahony; Éidín Ní Shé; Jade Bailey; Hasheem Mannan; Eilish McAuliffe; John Ryan; John Cronin; Marie Therese Cooney
Journal:  Emerg Med J       Date:  2019-11-02       Impact factor: 2.740

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.