Primary Care Spatial Density and Nonurgent Emergency Department Utilization: A New Methodology for Evaluating Access to Care

Abstract Objective To determine the spatial and demographic characteristics of pediatric patients who make nonurgent visits (NUVs) to an urban pediatric emergency department (ED). We hypothesized that the rate of NUVs would be inversely associated with the spatial density of primary care providers (...

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Veröffentlicht in:Academic pediatrics 2013-05, Vol.13 (3), p.278-285
Hauptverfasser: Mathison, David J., MD, MBA, Chamberlain, James M., MD, Cowan, Nuala M., MS, Engstrom, Ryan N., PhD, Fu, Linda Y., MD, MS, Shoo, Anthony, BS, Teach, Stephen J., MD, MPH
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container_end_page 285
container_issue 3
container_start_page 278
container_title Academic pediatrics
container_volume 13
creator Mathison, David J., MD, MBA
Chamberlain, James M., MD
Cowan, Nuala M., MS
Engstrom, Ryan N., PhD
Fu, Linda Y., MD, MS
Shoo, Anthony, BS
Teach, Stephen J., MD, MPH
description Abstract Objective To determine the spatial and demographic characteristics of pediatric patients who make nonurgent visits (NUVs) to an urban pediatric emergency department (ED). We hypothesized that the rate of NUVs would be inversely associated with the spatial density of primary care providers (PCPs). Methods A retrospective, cross-sectional analysis was conducted for all visits to Washington, DC’s principal pediatric ED between 2003 and 2006. NUVs were defined by a unique algorithm combining resource allocation, ambulatory-sensitive diagnoses, and billing data. Multivariate linear regression analysis was used to determine the association of PCP density and demographic variables on the spatial rate of NUVs. Results Over the 4-year period, 35.1% (52,110) of the 148,314 ED visits by Washington, DC, residents were nonurgent. NUVs were most associated with neighborhood median household income
doi_str_mv 10.1016/j.acap.2013.02.006
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We hypothesized that the rate of NUVs would be inversely associated with the spatial density of primary care providers (PCPs). Methods A retrospective, cross-sectional analysis was conducted for all visits to Washington, DC’s principal pediatric ED between 2003 and 2006. NUVs were defined by a unique algorithm combining resource allocation, ambulatory-sensitive diagnoses, and billing data. Multivariate linear regression analysis was used to determine the association of PCP density and demographic variables on the spatial rate of NUVs. Results Over the 4-year period, 35.1% (52,110) of the 148,314 ED visits by Washington, DC, residents were nonurgent. NUVs were most associated with neighborhood median household income &lt;$40,000 and low spatial density of PCPs. For every 1-unit increase in PCP density, the spatial rate of NUVs decreased by 9%. The odds of a visit being nonurgent were significantly higher for African Americans and Hispanics than for whites (odds ratio [OR] 2.4, 95% confidence interval [CI] 2.19–2.64; and OR 2.6, 95% CI 2.36–2.86, respectively), for patients using public insurance versus private (OR 1.46, 95% CI 1.42–1.50), and for patients age &lt;5 years (OR 2.66, 95% CI 2.60–2.72). Conclusions Low spatial density of primary care is strongly associated with nonurgent ED utilization. Improving spatial distribution of primary care may decrease ED misuse and improve access to the medical home.</description><identifier>ISSN: 1876-2859</identifier><identifier>EISSN: 1876-2867</identifier><identifier>DOI: 10.1016/j.acap.2013.02.006</identifier><identifier>PMID: 23680346</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Child ; Child, Preschool ; Cross-Sectional Studies ; District of Columbia ; emergency department use ; Emergency Service, Hospital - utilization ; geographic information systems ; Geography ; health care delivery/access ; health disparities ; Health Services Accessibility - statistics &amp; numerical data ; Health Services Misuse - statistics &amp; numerical data ; Healthcare Disparities - statistics &amp; numerical data ; Humans ; Infant ; Linear Models ; Multivariate Analysis ; Neonatal and Perinatal Medicine ; Odds Ratio ; Pediatrics ; Physicians, Primary Care - statistics &amp; numerical data ; Retrospective Studies ; Urban Population</subject><ispartof>Academic pediatrics, 2013-05, Vol.13 (3), p.278-285</ispartof><rights>Academic Pediatric Association</rights><rights>2013 Academic Pediatric Association</rights><rights>Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-36e9fe17f4270f38c987cef9dd2714f8398909895104eb8bf379ee8cddc9a1ff3</citedby><cites>FETCH-LOGICAL-c411t-36e9fe17f4270f38c987cef9dd2714f8398909895104eb8bf379ee8cddc9a1ff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.acap.2013.02.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23680346$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mathison, David J., MD, MBA</creatorcontrib><creatorcontrib>Chamberlain, James M., MD</creatorcontrib><creatorcontrib>Cowan, Nuala M., MS</creatorcontrib><creatorcontrib>Engstrom, Ryan N., PhD</creatorcontrib><creatorcontrib>Fu, Linda Y., MD, MS</creatorcontrib><creatorcontrib>Shoo, Anthony, BS</creatorcontrib><creatorcontrib>Teach, Stephen J., MD, MPH</creatorcontrib><title>Primary Care Spatial Density and Nonurgent Emergency Department Utilization: A New Methodology for Evaluating Access to Care</title><title>Academic pediatrics</title><addtitle>Acad Pediatr</addtitle><description>Abstract Objective To determine the spatial and demographic characteristics of pediatric patients who make nonurgent visits (NUVs) to an urban pediatric emergency department (ED). We hypothesized that the rate of NUVs would be inversely associated with the spatial density of primary care providers (PCPs). Methods A retrospective, cross-sectional analysis was conducted for all visits to Washington, DC’s principal pediatric ED between 2003 and 2006. NUVs were defined by a unique algorithm combining resource allocation, ambulatory-sensitive diagnoses, and billing data. Multivariate linear regression analysis was used to determine the association of PCP density and demographic variables on the spatial rate of NUVs. Results Over the 4-year period, 35.1% (52,110) of the 148,314 ED visits by Washington, DC, residents were nonurgent. NUVs were most associated with neighborhood median household income &lt;$40,000 and low spatial density of PCPs. For every 1-unit increase in PCP density, the spatial rate of NUVs decreased by 9%. The odds of a visit being nonurgent were significantly higher for African Americans and Hispanics than for whites (odds ratio [OR] 2.4, 95% confidence interval [CI] 2.19–2.64; and OR 2.6, 95% CI 2.36–2.86, respectively), for patients using public insurance versus private (OR 1.46, 95% CI 1.42–1.50), and for patients age &lt;5 years (OR 2.66, 95% CI 2.60–2.72). Conclusions Low spatial density of primary care is strongly associated with nonurgent ED utilization. Improving spatial distribution of primary care may decrease ED misuse and improve access to the medical home.</description><subject>Adolescent</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cross-Sectional Studies</subject><subject>District of Columbia</subject><subject>emergency department use</subject><subject>Emergency Service, Hospital - utilization</subject><subject>geographic information systems</subject><subject>Geography</subject><subject>health care delivery/access</subject><subject>health disparities</subject><subject>Health Services Accessibility - statistics &amp; numerical data</subject><subject>Health Services Misuse - statistics &amp; numerical data</subject><subject>Healthcare Disparities - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Infant</subject><subject>Linear Models</subject><subject>Multivariate Analysis</subject><subject>Neonatal and Perinatal Medicine</subject><subject>Odds Ratio</subject><subject>Pediatrics</subject><subject>Physicians, Primary Care - statistics &amp; numerical data</subject><subject>Retrospective Studies</subject><subject>Urban Population</subject><issn>1876-2859</issn><issn>1876-2867</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUFvFCEUx4nR2Lr6BTwYjl52hGF2Bowx2ayrNqnVpPZMWOaxsjLDCEzNGD98mW7toQcPhBf4_R_h9xB6SUlBCa3fHAql1VCUhLKClAUh9SN0SnlTL0teN4_v65U4Qc9iPGSAcV4_RSclqzlhVX2K_n4LtlNhwhsVAF8OKlnl8Afoo00TVn2LL3w_hj30CW87mAs95ftBhdTNh1fJOvsnx3z_Fq_xBfzGXyD98K13fj9h4wPeXis3ZqLf47XWECNO_va95-iJUS7Ci7t9ga4-br9vPi_Pv34626zPl7qiNC1ZDcIAbUxVNsQwrgVvNBjRtmVDK8OZ4ILktaKkgh3fGdYIAK7bVgtFjWEL9PrYdwj-1wgxyc5GDc6pHvwYJWUrRipGhMhoeUR18DEGMHI4CpKUyNm6PMjZupytS1LKWeoCvbrrP-46aO8j_zRn4N0RgPzLawtBRm2zSWhtAJ1k6-3_-79_ENfO9lYr9xMmiAc_hj77k1TGHJCX89znsVNGCGG8YTeepalY</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Mathison, David J., MD, MBA</creator><creator>Chamberlain, James M., MD</creator><creator>Cowan, Nuala M., MS</creator><creator>Engstrom, Ryan N., PhD</creator><creator>Fu, Linda Y., MD, MS</creator><creator>Shoo, Anthony, BS</creator><creator>Teach, Stephen J., MD, MPH</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20130501</creationdate><title>Primary Care Spatial Density and Nonurgent Emergency Department Utilization: A New Methodology for Evaluating Access to Care</title><author>Mathison, David J., MD, MBA ; Chamberlain, James M., MD ; Cowan, Nuala M., MS ; Engstrom, Ryan N., PhD ; Fu, Linda Y., MD, MS ; Shoo, Anthony, BS ; Teach, Stephen J., MD, MPH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-36e9fe17f4270f38c987cef9dd2714f8398909895104eb8bf379ee8cddc9a1ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cross-Sectional Studies</topic><topic>District of Columbia</topic><topic>emergency department use</topic><topic>Emergency Service, Hospital - utilization</topic><topic>geographic information systems</topic><topic>Geography</topic><topic>health care delivery/access</topic><topic>health disparities</topic><topic>Health Services Accessibility - statistics &amp; numerical data</topic><topic>Health Services Misuse - statistics &amp; numerical data</topic><topic>Healthcare Disparities - statistics &amp; numerical data</topic><topic>Humans</topic><topic>Infant</topic><topic>Linear Models</topic><topic>Multivariate Analysis</topic><topic>Neonatal and Perinatal Medicine</topic><topic>Odds Ratio</topic><topic>Pediatrics</topic><topic>Physicians, Primary Care - statistics &amp; numerical data</topic><topic>Retrospective Studies</topic><topic>Urban Population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mathison, David J., MD, MBA</creatorcontrib><creatorcontrib>Chamberlain, James M., MD</creatorcontrib><creatorcontrib>Cowan, Nuala M., MS</creatorcontrib><creatorcontrib>Engstrom, Ryan N., PhD</creatorcontrib><creatorcontrib>Fu, Linda Y., MD, MS</creatorcontrib><creatorcontrib>Shoo, Anthony, BS</creatorcontrib><creatorcontrib>Teach, Stephen J., MD, MPH</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Academic pediatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mathison, David J., MD, MBA</au><au>Chamberlain, James M., MD</au><au>Cowan, Nuala M., MS</au><au>Engstrom, Ryan N., PhD</au><au>Fu, Linda Y., MD, MS</au><au>Shoo, Anthony, BS</au><au>Teach, Stephen J., MD, MPH</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Primary Care Spatial Density and Nonurgent Emergency Department Utilization: A New Methodology for Evaluating Access to Care</atitle><jtitle>Academic pediatrics</jtitle><addtitle>Acad Pediatr</addtitle><date>2013-05-01</date><risdate>2013</risdate><volume>13</volume><issue>3</issue><spage>278</spage><epage>285</epage><pages>278-285</pages><issn>1876-2859</issn><eissn>1876-2867</eissn><abstract>Abstract Objective To determine the spatial and demographic characteristics of pediatric patients who make nonurgent visits (NUVs) to an urban pediatric emergency department (ED). We hypothesized that the rate of NUVs would be inversely associated with the spatial density of primary care providers (PCPs). Methods A retrospective, cross-sectional analysis was conducted for all visits to Washington, DC’s principal pediatric ED between 2003 and 2006. NUVs were defined by a unique algorithm combining resource allocation, ambulatory-sensitive diagnoses, and billing data. Multivariate linear regression analysis was used to determine the association of PCP density and demographic variables on the spatial rate of NUVs. Results Over the 4-year period, 35.1% (52,110) of the 148,314 ED visits by Washington, DC, residents were nonurgent. NUVs were most associated with neighborhood median household income &lt;$40,000 and low spatial density of PCPs. For every 1-unit increase in PCP density, the spatial rate of NUVs decreased by 9%. The odds of a visit being nonurgent were significantly higher for African Americans and Hispanics than for whites (odds ratio [OR] 2.4, 95% confidence interval [CI] 2.19–2.64; and OR 2.6, 95% CI 2.36–2.86, respectively), for patients using public insurance versus private (OR 1.46, 95% CI 1.42–1.50), and for patients age &lt;5 years (OR 2.66, 95% CI 2.60–2.72). Conclusions Low spatial density of primary care is strongly associated with nonurgent ED utilization. Improving spatial distribution of primary care may decrease ED misuse and improve access to the medical home.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>23680346</pmid><doi>10.1016/j.acap.2013.02.006</doi><tpages>8</tpages></addata></record>
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subjects Adolescent
Child
Child, Preschool
Cross-Sectional Studies
District of Columbia
emergency department use
Emergency Service, Hospital - utilization
geographic information systems
Geography
health care delivery/access
health disparities
Health Services Accessibility - statistics & numerical data
Health Services Misuse - statistics & numerical data
Healthcare Disparities - statistics & numerical data
Humans
Infant
Linear Models
Multivariate Analysis
Neonatal and Perinatal Medicine
Odds Ratio
Pediatrics
Physicians, Primary Care - statistics & numerical data
Retrospective Studies
Urban Population
title Primary Care Spatial Density and Nonurgent Emergency Department Utilization: A New Methodology for Evaluating Access to Care
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