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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 |
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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. Dony, Coline 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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fullrecord | <record><control><sourceid>wiley_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4507419</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>BDRA23168</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4588-e3f15656ac12c3841e4588adaf31461b4a52c9c456050bc9f7f87fc9962e2833</originalsourceid><addsrcrecordid>eNp9kElPAyEYhonRuF_8AYazySjLMMxcTLRqNXGJ2sQjYZiPFp2lgXHpv5dabfTiBQg870O-F6E9Sg4pIeyorLw-ZJxm-QrapCJlCZEZWV2eBdtAWyE8R5ZLKdfRBuNFkRUy30TtTVdB7dox7r1-gxq7ZgqVbg3gvsMNVM7oGhvtAdvOYzNxdeWhxe-un-DS-bhWYMH0Ab-GuWYI3djr6cQZfNXGSKN717X4cRZ6aMIOWrO6DrD7vW-j0cX5aHCZXN8NrwYn14lJRZ4nwC0Vmci0oczwPKUwv9aVtpymGS1TLZgpIpsRQUpTWGlzaU0cigHLOd9Gxwvt9LWMMxho43S1mnrXaD9TnXbq70vrJmrcvalUEJnSIgoOFgLjuxA82GWWEjUvXc1LV1-lR3j_929L9KflCNAF8O5qmP2jUqdnDyc_0mSRcbG4j2VG-xeVSS6Ferodqvv7wWA04rkS_BPMnZ63</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Delmelle, Eric M. ; Cassell, Cynthia H. ; Dony, Coline ; Radcliff, Elizabeth ; Tanner, Jean Paul ; Siffel, Csaba ; Kirby, Russell S.</creator><creatorcontrib>Delmelle, Eric M. ; Cassell, Cynthia H. ; Dony, Coline ; Radcliff, Elizabeth ; Tanner, Jean Paul ; Siffel, Csaba ; Kirby, Russell S.</creatorcontrib><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><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 & 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</subject><ispartof>Birth defects research. A Clinical and molecular teratology, 2013-10, Vol.97 (10), p.673-684</ispartof><rights>Copyright © 2013 Wiley Periodicals, Inc.</rights><rights>2013 Wiley Periodicals, Inc. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4588-e3f15656ac12c3841e4588adaf31461b4a52c9c456050bc9f7f87fc9962e2833</citedby><cites>FETCH-LOGICAL-c4588-e3f15656ac12c3841e4588adaf31461b4a52c9c456050bc9f7f87fc9962e2833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23996978$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><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><title>Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems</title><title>Birth defects research. 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 & numerical data</subject><subject>Hospitalization - economics</subject><subject>Hospitalization - statistics & 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 & numerical data</topic><topic>Hospitalization - economics</topic><topic>Hospitalization - statistics & 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. A Clinical and molecular teratology</jtitle><addtitle>Birth Defects Research Part A: Clinical and Molecular Teratology</addtitle><date>2013-10</date><risdate>2013</risdate><volume>97</volume><issue>10</issue><spage>673</spage><epage>684</epage><pages>673-684</pages><issn>1542-0752</issn><eissn>1542-0760</eissn><abstract>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.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>23996978</pmid><doi>10.1002/bdra.23168</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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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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