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Factors for Accessing a Medical Home Vary Among CSHCN from Different Levels of Socioeconomic Status
Purpose The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels. Methods Data were obtained from the National S...
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| Published in: | Maternal and child health journal 2009-07, Vol.13 (4), p.445-456 |
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| Main Authors: | , , , |
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| cites | cdi_FETCH-LOGICAL-c435t-3d292849c0ed5fc0d526781b3d5993718bb8779bac4d60e0002e681fd574b0023 |
| container_end_page | 456 |
| container_issue | 4 |
| container_start_page | 445 |
| container_title | Maternal and child health journal |
| container_volume | 13 |
| creator | Fulda, Kimberly G. Lykens, Kristine Bae, Sejong Singh, Karan |
| description | Purpose
The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels.
Methods
Data were obtained from the National Survey of Children with Special Health Care Needs, 2000–2002. Access to a medical home was derived using an algorithm. This survey analysis also included demographic characteristics, geographical location of household, severity of condition, and social factors. Multiple logistic regression models were constructed for socioeconomic status (SES) levels defined by federal poverty level (FPL): |
| doi_str_mv | 10.1007/s10995-008-0371-z |
| format | article |
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The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels.
Methods
Data were obtained from the National Survey of Children with Special Health Care Needs, 2000–2002. Access to a medical home was derived using an algorithm. This survey analysis also included demographic characteristics, geographical location of household, severity of condition, and social factors. Multiple logistic regression models were constructed for socioeconomic status (SES) levels defined by federal poverty level (FPL): <133%; 133–199%; 200–299%; ≥300%.
Results
Age group was significant in all but the 200–299% of FPL stratum. Severity of condition was significant in all strata. Race was significant in all but the ≥300% stratum. Maternal education was borderline significant in the lowest and highest strata. Insurance type/status was significant in all but the 133–199% of FPL stratum. Geographical location was significant in the lowest and highest strata. The language of the interview was only significant in the lowest stratum. The relationship of the respondent to the child was significant in the middle two strata. The total number of adults in the household was significant in the highest stratum, and the total number of children in the household was significant in the 200–299% of FPL stratum.
Conclusions
Factors affecting access to a medical home differed among socioeconomic groups. Future research should explore the CSHCN population by income groups to better serve this population.</description><identifier>ISSN: 1092-7875</identifier><identifier>EISSN: 1573-6628</identifier><identifier>DOI: 10.1007/s10995-008-0371-z</identifier><identifier>PMID: 18546066</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Adolescent ; Child ; Child, Preschool ; Disabled Children ; Female ; Gynecology ; Health Care Surveys ; Health insurance ; Health Services Accessibility ; Households ; Humans ; Infant ; Infant, Newborn ; Logistic Models ; Male ; Maternal and Child Health ; Maternal-Child Health Centers ; Medicine ; Medicine & Public Health ; Patient-Centered Care - utilization ; Pediatrics ; Population Economics ; Poverty ; Public Health ; Social Class ; Socioeconomic factors ; Sociology</subject><ispartof>Maternal and child health journal, 2009-07, Vol.13 (4), p.445-456</ispartof><rights>Springer Science+Business Media, LLC 2008</rights><rights>Springer Science+Business Media, LLC 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-3d292849c0ed5fc0d526781b3d5993718bb8779bac4d60e0002e681fd574b0023</citedby><cites>FETCH-LOGICAL-c435t-3d292849c0ed5fc0d526781b3d5993718bb8779bac4d60e0002e681fd574b0023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18546066$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fulda, Kimberly G.</creatorcontrib><creatorcontrib>Lykens, Kristine</creatorcontrib><creatorcontrib>Bae, Sejong</creatorcontrib><creatorcontrib>Singh, Karan</creatorcontrib><title>Factors for Accessing a Medical Home Vary Among CSHCN from Different Levels of Socioeconomic Status</title><title>Maternal and child health journal</title><addtitle>Matern Child Health J</addtitle><addtitle>Matern Child Health J</addtitle><description>Purpose
The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels.
Methods
Data were obtained from the National Survey of Children with Special Health Care Needs, 2000–2002. Access to a medical home was derived using an algorithm. This survey analysis also included demographic characteristics, geographical location of household, severity of condition, and social factors. Multiple logistic regression models were constructed for socioeconomic status (SES) levels defined by federal poverty level (FPL): <133%; 133–199%; 200–299%; ≥300%.
Results
Age group was significant in all but the 200–299% of FPL stratum. Severity of condition was significant in all strata. Race was significant in all but the ≥300% stratum. Maternal education was borderline significant in the lowest and highest strata. Insurance type/status was significant in all but the 133–199% of FPL stratum. Geographical location was significant in the lowest and highest strata. The language of the interview was only significant in the lowest stratum. The relationship of the respondent to the child was significant in the middle two strata. The total number of adults in the household was significant in the highest stratum, and the total number of children in the household was significant in the 200–299% of FPL stratum.
Conclusions
Factors affecting access to a medical home differed among socioeconomic groups. Future research should explore the CSHCN population by income groups to better serve this population.</description><subject>Adolescent</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Disabled Children</subject><subject>Female</subject><subject>Gynecology</subject><subject>Health Care Surveys</subject><subject>Health insurance</subject><subject>Health Services Accessibility</subject><subject>Households</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Maternal and Child Health</subject><subject>Maternal-Child Health Centers</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Patient-Centered Care - utilization</subject><subject>Pediatrics</subject><subject>Population Economics</subject><subject>Poverty</subject><subject>Public Health</subject><subject>Social Class</subject><subject>Socioeconomic factors</subject><subject>Sociology</subject><issn>1092-7875</issn><issn>1573-6628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp1kE1r3DAQhkVpaD7aH9BLET3k5nYkWR8-LptsNrBNDpv2Kmx5tDjYViLZhebXR8suBAI9SWKeeUfzEPKVwQ8GoH8mBlUlCwBTgNCsePlAzpjUolCKm4_5DhUvtNHylJyn9AiQu6D8RE6ZkaUCpc6IW9VuCjFRHyJdOIcpdeOO1vQXtp2re7oOA9I_dfxHF0PIleV2vbyjPoaBXnXeY8Rxohv8i32iwdNtcF1AF8YwdI5up3qa02dy4us-4ZfjeUF-r64flutic39zu1xsClcKORWi5RU3ZeUAW-kdtJIrbVgjWllVeT3TNEbrqqld2SrAvApHZZhvpS6b_BAX5PKQ-xTD84xpskOXHPZ9PWKYk1Wai5ykMvj9HfgY5jjmv1nOQapSCMgQO0AuhpQievsUuyGLsAzsXr896LdZv93rty-559sxeG4GbN86jr4zwA9AyqVxh_Ft8v9TXwEHpo6K</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Fulda, Kimberly G.</creator><creator>Lykens, Kristine</creator><creator>Bae, Sejong</creator><creator>Singh, Karan</creator><general>Springer US</general><general>Springer Nature B.V</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20090701</creationdate><title>Factors for Accessing a Medical Home Vary Among CSHCN from Different Levels of Socioeconomic Status</title><author>Fulda, Kimberly G. ; Lykens, Kristine ; Bae, Sejong ; Singh, Karan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-3d292849c0ed5fc0d526781b3d5993718bb8779bac4d60e0002e681fd574b0023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adolescent</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Disabled Children</topic><topic>Female</topic><topic>Gynecology</topic><topic>Health Care Surveys</topic><topic>Health insurance</topic><topic>Health Services Accessibility</topic><topic>Households</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Maternal and Child Health</topic><topic>Maternal-Child Health Centers</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Patient-Centered Care - utilization</topic><topic>Pediatrics</topic><topic>Population Economics</topic><topic>Poverty</topic><topic>Public Health</topic><topic>Social Class</topic><topic>Socioeconomic factors</topic><topic>Sociology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fulda, Kimberly G.</creatorcontrib><creatorcontrib>Lykens, Kristine</creatorcontrib><creatorcontrib>Bae, Sejong</creatorcontrib><creatorcontrib>Singh, Karan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Maternal and child health journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fulda, Kimberly G.</au><au>Lykens, Kristine</au><au>Bae, Sejong</au><au>Singh, Karan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors for Accessing a Medical Home Vary Among CSHCN from Different Levels of Socioeconomic Status</atitle><jtitle>Maternal and child health journal</jtitle><stitle>Matern Child Health J</stitle><addtitle>Matern Child Health J</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>13</volume><issue>4</issue><spage>445</spage><epage>456</epage><pages>445-456</pages><issn>1092-7875</issn><eissn>1573-6628</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Purpose
The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels.
Methods
Data were obtained from the National Survey of Children with Special Health Care Needs, 2000–2002. Access to a medical home was derived using an algorithm. This survey analysis also included demographic characteristics, geographical location of household, severity of condition, and social factors. Multiple logistic regression models were constructed for socioeconomic status (SES) levels defined by federal poverty level (FPL): <133%; 133–199%; 200–299%; ≥300%.
Results
Age group was significant in all but the 200–299% of FPL stratum. Severity of condition was significant in all strata. Race was significant in all but the ≥300% stratum. Maternal education was borderline significant in the lowest and highest strata. Insurance type/status was significant in all but the 133–199% of FPL stratum. Geographical location was significant in the lowest and highest strata. The language of the interview was only significant in the lowest stratum. The relationship of the respondent to the child was significant in the middle two strata. The total number of adults in the household was significant in the highest stratum, and the total number of children in the household was significant in the 200–299% of FPL stratum.
Conclusions
Factors affecting access to a medical home differed among socioeconomic groups. Future research should explore the CSHCN population by income groups to better serve this population.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>18546066</pmid><doi>10.1007/s10995-008-0371-z</doi><tpages>12</tpages></addata></record> |
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| subjects | Adolescent Child Child, Preschool Disabled Children Female Gynecology Health Care Surveys Health insurance Health Services Accessibility Households Humans Infant Infant, Newborn Logistic Models Male Maternal and Child Health Maternal-Child Health Centers Medicine Medicine & Public Health Patient-Centered Care - utilization Pediatrics Population Economics Poverty Public Health Social Class Socioeconomic factors Sociology |
| title | Factors for Accessing a Medical Home Vary Among CSHCN from Different Levels of Socioeconomic Status |
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