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Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems

BACKGROUND Children with birth defects may face significant geographic barriers accessing medical care and specialized services. Using a Geographic Information Systems–based approach, one‐way travel time and distance to access medical care for children born with spina bifida was estimated. METHODS U...

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Published in:Birth defects research. A Clinical and molecular teratology 2013-10, Vol.97 (10), p.673-684
Main Authors: Delmelle, Eric M., Cassell, Cynthia H., Dony, Coline, Radcliff, Elizabeth, Tanner, Jean Paul, Siffel, Csaba, Kirby, Russell S.
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cited_by cdi_FETCH-LOGICAL-c4588-e3f15656ac12c3841e4588adaf31461b4a52c9c456050bc9f7f87fc9962e2833
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container_title Birth defects research. A Clinical and molecular teratology
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creator Delmelle, Eric M.
Cassell, Cynthia H.
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Radcliff, Elizabeth
Tanner, Jean Paul
Siffel, Csaba
Kirby, Russell S.
description BACKGROUND Children with birth defects may face significant geographic barriers accessing medical care and specialized services. Using a Geographic Information Systems–based approach, one‐way travel time and distance to access medical care for children born with spina bifida was estimated. METHODS Using 2007 road information from the Florida Department of Transportation, we built a topological network of Florida roads. Live‐born Florida infants with spina bifida during 1998 to 2007 were identified by the Florida Birth Defects Registry and linked to hospital discharge records. Maternal residence at delivery and hospitalization locations were identified during the first year of life. RESULTS Of 668 infants with spina bifida, 8.1% (n = 54) could not be linked to inpatient data, resulting in 614 infants. Of those 614 infants, 99.7% (n = 612) of the maternal residential addresses at delivery were successfully geocoded. Infants with spina bifida living in rural areas in Florida experienced travel times almost twice as high compared with those living in urban areas. When aggregated at county levels, one‐way network travel times exhibited statistically significant spatial autocorrelation, indicating that families living in some clusters of counties experienced substantially greater travel times compared with families living in other areas of Florida. CONCLUSION This analysis demonstrates the usefulness of linking birth defects registry and hospital discharge data to examine geographic differences in access to medical care. Geographic Information Systems methods are important in evaluating accessibility and geographic barriers to care and could be used among children with special health care needs, including children with birth defects. Birth Defects Research (Part A) 97:673–684, 2013. © 2013 Wiley Periodicals, Inc.
doi_str_mv 10.1002/bdra.23168
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Using a Geographic Information Systems–based approach, one‐way travel time and distance to access medical care for children born with spina bifida was estimated. METHODS Using 2007 road information from the Florida Department of Transportation, we built a topological network of Florida roads. Live‐born Florida infants with spina bifida during 1998 to 2007 were identified by the Florida Birth Defects Registry and linked to hospital discharge records. Maternal residence at delivery and hospitalization locations were identified during the first year of life. RESULTS Of 668 infants with spina bifida, 8.1% (n = 54) could not be linked to inpatient data, resulting in 614 infants. Of those 614 infants, 99.7% (n = 612) of the maternal residential addresses at delivery were successfully geocoded. Infants with spina bifida living in rural areas in Florida experienced travel times almost twice as high compared with those living in urban areas. When aggregated at county levels, one‐way network travel times exhibited statistically significant spatial autocorrelation, indicating that families living in some clusters of counties experienced substantially greater travel times compared with families living in other areas of Florida. CONCLUSION This analysis demonstrates the usefulness of linking birth defects registry and hospital discharge data to examine geographic differences in access to medical care. Geographic Information Systems methods are important in evaluating accessibility and geographic barriers to care and could be used among children with special health care needs, including children with birth defects. Birth Defects Research (Part A) 97:673–684, 2013. © 2013 Wiley Periodicals, Inc.</description><identifier>ISSN: 1542-0752</identifier><identifier>EISSN: 1542-0760</identifier><identifier>DOI: 10.1002/bdra.23168</identifier><identifier>PMID: 23996978</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Adult ; birth defects ; Florida ; geocoding ; Geographic Information Systems ; Geographic Mapping ; GIS ; Health Expenditures ; Health Services Accessibility - economics ; Health Services Accessibility - statistics &amp; numerical data ; Hospitalization - economics ; Hospitalization - statistics &amp; numerical data ; Humans ; Infant ; Infant, Newborn ; medical care ; network modeling ; Registries ; spina bifida ; Spinal Dysraphism - economics ; Spinal Dysraphism - therapy ; Time Factors ; travel distance ; travel time</subject><ispartof>Birth defects research. 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A Clinical and molecular teratology</title><addtitle>Birth Defects Research Part A: Clinical and Molecular Teratology</addtitle><description>BACKGROUND Children with birth defects may face significant geographic barriers accessing medical care and specialized services. Using a Geographic Information Systems–based approach, one‐way travel time and distance to access medical care for children born with spina bifida was estimated. METHODS Using 2007 road information from the Florida Department of Transportation, we built a topological network of Florida roads. Live‐born Florida infants with spina bifida during 1998 to 2007 were identified by the Florida Birth Defects Registry and linked to hospital discharge records. Maternal residence at delivery and hospitalization locations were identified during the first year of life. RESULTS Of 668 infants with spina bifida, 8.1% (n = 54) could not be linked to inpatient data, resulting in 614 infants. Of those 614 infants, 99.7% (n = 612) of the maternal residential addresses at delivery were successfully geocoded. Infants with spina bifida living in rural areas in Florida experienced travel times almost twice as high compared with those living in urban areas. When aggregated at county levels, one‐way network travel times exhibited statistically significant spatial autocorrelation, indicating that families living in some clusters of counties experienced substantially greater travel times compared with families living in other areas of Florida. CONCLUSION This analysis demonstrates the usefulness of linking birth defects registry and hospital discharge data to examine geographic differences in access to medical care. Geographic Information Systems methods are important in evaluating accessibility and geographic barriers to care and could be used among children with special health care needs, including children with birth defects. Birth Defects Research (Part A) 97:673–684, 2013. © 2013 Wiley Periodicals, Inc.</description><subject>Adult</subject><subject>birth defects</subject><subject>Florida</subject><subject>geocoding</subject><subject>Geographic Information Systems</subject><subject>Geographic Mapping</subject><subject>GIS</subject><subject>Health Expenditures</subject><subject>Health Services Accessibility - economics</subject><subject>Health Services Accessibility - statistics &amp; numerical data</subject><subject>Hospitalization - economics</subject><subject>Hospitalization - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>medical care</subject><subject>network modeling</subject><subject>Registries</subject><subject>spina bifida</subject><subject>Spinal Dysraphism - economics</subject><subject>Spinal Dysraphism - therapy</subject><subject>Time Factors</subject><subject>travel distance</subject><subject>travel time</subject><issn>1542-0752</issn><issn>1542-0760</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kElPAyEYhonRuF_8AYazySjLMMxcTLRqNXGJ2sQjYZiPFp2lgXHpv5dabfTiBQg870O-F6E9Sg4pIeyorLw-ZJxm-QrapCJlCZEZWV2eBdtAWyE8R5ZLKdfRBuNFkRUy30TtTVdB7dox7r1-gxq7ZgqVbg3gvsMNVM7oGhvtAdvOYzNxdeWhxe-un-DS-bhWYMH0Ab-GuWYI3djr6cQZfNXGSKN717X4cRZ6aMIOWrO6DrD7vW-j0cX5aHCZXN8NrwYn14lJRZ4nwC0Vmci0oczwPKUwv9aVtpymGS1TLZgpIpsRQUpTWGlzaU0cigHLOd9Gxwvt9LWMMxho43S1mnrXaD9TnXbq70vrJmrcvalUEJnSIgoOFgLjuxA82GWWEjUvXc1LV1-lR3j_929L9KflCNAF8O5qmP2jUqdnDyc_0mSRcbG4j2VG-xeVSS6Ferodqvv7wWA04rkS_BPMnZ63</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Delmelle, Eric M.</creator><creator>Cassell, Cynthia H.</creator><creator>Dony, Coline</creator><creator>Radcliff, Elizabeth</creator><creator>Tanner, Jean Paul</creator><creator>Siffel, Csaba</creator><creator>Kirby, Russell S.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><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>5PM</scope></search><sort><creationdate>201310</creationdate><title>Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems</title><author>Delmelle, Eric M. ; Cassell, Cynthia H. ; Dony, Coline ; Radcliff, Elizabeth ; Tanner, Jean Paul ; Siffel, Csaba ; Kirby, Russell S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4588-e3f15656ac12c3841e4588adaf31461b4a52c9c456050bc9f7f87fc9962e2833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>birth defects</topic><topic>Florida</topic><topic>geocoding</topic><topic>Geographic Information Systems</topic><topic>Geographic Mapping</topic><topic>GIS</topic><topic>Health Expenditures</topic><topic>Health Services Accessibility - economics</topic><topic>Health Services Accessibility - statistics &amp; numerical data</topic><topic>Hospitalization - economics</topic><topic>Hospitalization - statistics &amp; numerical data</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>medical care</topic><topic>network modeling</topic><topic>Registries</topic><topic>spina bifida</topic><topic>Spinal Dysraphism - economics</topic><topic>Spinal Dysraphism - therapy</topic><topic>Time Factors</topic><topic>travel distance</topic><topic>travel time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delmelle, Eric M.</creatorcontrib><creatorcontrib>Cassell, Cynthia H.</creatorcontrib><creatorcontrib>Dony, Coline</creatorcontrib><creatorcontrib>Radcliff, Elizabeth</creatorcontrib><creatorcontrib>Tanner, Jean Paul</creatorcontrib><creatorcontrib>Siffel, Csaba</creatorcontrib><creatorcontrib>Kirby, Russell S.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Birth defects research. A Clinical and molecular teratology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Delmelle, Eric M.</au><au>Cassell, Cynthia H.</au><au>Dony, Coline</au><au>Radcliff, Elizabeth</au><au>Tanner, Jean Paul</au><au>Siffel, Csaba</au><au>Kirby, Russell S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems</atitle><jtitle>Birth defects research. 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Maternal residence at delivery and hospitalization locations were identified during the first year of life. RESULTS Of 668 infants with spina bifida, 8.1% (n = 54) could not be linked to inpatient data, resulting in 614 infants. Of those 614 infants, 99.7% (n = 612) of the maternal residential addresses at delivery were successfully geocoded. Infants with spina bifida living in rural areas in Florida experienced travel times almost twice as high compared with those living in urban areas. When aggregated at county levels, one‐way network travel times exhibited statistically significant spatial autocorrelation, indicating that families living in some clusters of counties experienced substantially greater travel times compared with families living in other areas of Florida. CONCLUSION This analysis demonstrates the usefulness of linking birth defects registry and hospital discharge data to examine geographic differences in access to medical care. 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source Wiley-Blackwell Read & Publish Collection
subjects Adult
birth defects
Florida
geocoding
Geographic Information Systems
Geographic Mapping
GIS
Health Expenditures
Health Services Accessibility - economics
Health Services Accessibility - statistics & numerical data
Hospitalization - economics
Hospitalization - statistics & numerical data
Humans
Infant
Infant, Newborn
medical care
network modeling
Registries
spina bifida
Spinal Dysraphism - economics
Spinal Dysraphism - therapy
Time Factors
travel distance
travel time
title Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems
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