Assessing the social determinants of health care costs for Medicaid‐enrolled adolescents in Washington State using administrative data
Objective The study used administrative data to identify the social determinants that have the greatest impact on Medicaid expenditures in adolescence. Data Sources Data were compiled using the Washington State Department of Social and Health Services Integrated Client Databases, which link data fro...
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Veröffentlicht in: | Health services research 2019-02, Vol.54 (1), p.52-63 |
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creator | Patton, Deleena A. Liu, Qinghua Adelson, Jaimie D. Lucenko, Barbara A. |
description | Objective
The study used administrative data to identify the social determinants that have the greatest impact on Medicaid expenditures in adolescence.
Data Sources
Data were compiled using the Washington State Department of Social and Health Services Integrated Client Databases, which link data from state systems including Medicaid claims and social services receipt.
Study Design
Medical system and behavioral health service costs of over 180 000 Medicaid‐enrolled adolescents aged 12‐17 were measured using integrated administrative data from Washington State. Social determinants of health, including child maltreatment and parent risk factors, were also measured. Two‐stage regression models were used to identify factors associated with increased health care utilization and costs.
Principal Findings
Regression models revealed that the factors most predictive of higher health care costs were child abuse, child neglect, and instability in out‐of‐home placements related to foster care. Other social determinants of health, such as parent risk factors, were not associated with health care costs. Child maltreatment and placement instability impacted health care costs primarily through large increases in behavioral health utilization and costs.
Conclusions
Prevention and early interventions for children and families to decrease child maltreatment and increase foster care placement stability could reduce overall health care costs. |
doi_str_mv | 10.1111/1475-6773.13052 |
format | Article |
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The study used administrative data to identify the social determinants that have the greatest impact on Medicaid expenditures in adolescence.
Data Sources
Data were compiled using the Washington State Department of Social and Health Services Integrated Client Databases, which link data from state systems including Medicaid claims and social services receipt.
Study Design
Medical system and behavioral health service costs of over 180 000 Medicaid‐enrolled adolescents aged 12‐17 were measured using integrated administrative data from Washington State. Social determinants of health, including child maltreatment and parent risk factors, were also measured. Two‐stage regression models were used to identify factors associated with increased health care utilization and costs.
Principal Findings
Regression models revealed that the factors most predictive of higher health care costs were child abuse, child neglect, and instability in out‐of‐home placements related to foster care. Other social determinants of health, such as parent risk factors, were not associated with health care costs. Child maltreatment and placement instability impacted health care costs primarily through large increases in behavioral health utilization and costs.
Conclusions
Prevention and early interventions for children and families to decrease child maltreatment and increase foster care placement stability could reduce overall health care costs.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/1475-6773.13052</identifier><identifier>PMID: 30657610</identifier><language>eng</language><publisher>United States: Health Research and Educational Trust</publisher><subject>administrative data ; Adolescence ; Adolescent ; Adolescent Health Services - economics ; Adolescent Health Services - statistics & numerical data ; Adolescents ; Behavioral medicine ; Child abuse ; Child abuse & neglect ; child abuse and neglect ; Child health ; Child placement ; Child welfare ; Children ; Costs ; Data ; Early intervention ; Expenditures ; Family ; Female ; Forecasts and trends ; Foster care ; Foster children ; Government programs ; Government regulation ; Health behavior ; Health care costs ; Health care expenditures ; health expenditures ; Health risks ; Health services ; Health Services Accessibility - economics ; Health services utilization ; Help seeking behavior ; Humans ; Laws, regulations and rules ; Male ; Market trend/market analysis ; Medicaid ; Medicaid - economics ; Medicaid - statistics & numerical data ; Medical care utilization ; Medical care, Cost of ; Medical economics ; Medicine ; Parents & parenting ; Placement ; Prevention programs ; Primary Health Care - economics ; Regression analysis ; Regression models ; Risk analysis ; Risk factors ; Social Determinants of Health ; Social Determinants of Health - economics ; Social Determinants of Health - statistics & numerical data ; Social factors ; Social services ; Stability ; Statistics ; United States ; Washington ; Youth</subject><ispartof>Health services research, 2019-02, Vol.54 (1), p.52-63</ispartof><rights>Health Research and Educational Trust</rights><rights>Health Research and Educational Trust.</rights><rights>COPYRIGHT 2019 Health Research and Educational Trust</rights><rights>COPYRIGHT 2019 Health Research and Educational Trust</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7132-c47e8760989c0823db1e4383500cf3fb2784977352d0c6a2d5eb8ecddb1208453</citedby><cites>FETCH-LOGICAL-c7132-c47e8760989c0823db1e4383500cf3fb2784977352d0c6a2d5eb8ecddb1208453</cites><orcidid>0000-0002-8223-4753</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338293/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338293/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1417,27924,27925,30999,33774,45574,45575,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30657610$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Patton, Deleena A.</creatorcontrib><creatorcontrib>Liu, Qinghua</creatorcontrib><creatorcontrib>Adelson, Jaimie D.</creatorcontrib><creatorcontrib>Lucenko, Barbara A.</creatorcontrib><title>Assessing the social determinants of health care costs for Medicaid‐enrolled adolescents in Washington State using administrative data</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective
The study used administrative data to identify the social determinants that have the greatest impact on Medicaid expenditures in adolescence.
Data Sources
Data were compiled using the Washington State Department of Social and Health Services Integrated Client Databases, which link data from state systems including Medicaid claims and social services receipt.
Study Design
Medical system and behavioral health service costs of over 180 000 Medicaid‐enrolled adolescents aged 12‐17 were measured using integrated administrative data from Washington State. Social determinants of health, including child maltreatment and parent risk factors, were also measured. Two‐stage regression models were used to identify factors associated with increased health care utilization and costs.
Principal Findings
Regression models revealed that the factors most predictive of higher health care costs were child abuse, child neglect, and instability in out‐of‐home placements related to foster care. Other social determinants of health, such as parent risk factors, were not associated with health care costs. Child maltreatment and placement instability impacted health care costs primarily through large increases in behavioral health utilization and costs.
Conclusions
Prevention and early interventions for children and families to decrease child maltreatment and increase foster care placement stability could reduce overall health care costs.</description><subject>administrative data</subject><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adolescent Health Services - economics</subject><subject>Adolescent Health Services - statistics & numerical data</subject><subject>Adolescents</subject><subject>Behavioral medicine</subject><subject>Child abuse</subject><subject>Child abuse & neglect</subject><subject>child abuse and neglect</subject><subject>Child health</subject><subject>Child placement</subject><subject>Child welfare</subject><subject>Children</subject><subject>Costs</subject><subject>Data</subject><subject>Early intervention</subject><subject>Expenditures</subject><subject>Family</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>Foster care</subject><subject>Foster children</subject><subject>Government programs</subject><subject>Government regulation</subject><subject>Health behavior</subject><subject>Health care costs</subject><subject>Health care expenditures</subject><subject>health expenditures</subject><subject>Health risks</subject><subject>Health services</subject><subject>Health Services Accessibility - economics</subject><subject>Health services utilization</subject><subject>Help seeking behavior</subject><subject>Humans</subject><subject>Laws, regulations and rules</subject><subject>Male</subject><subject>Market trend/market analysis</subject><subject>Medicaid</subject><subject>Medicaid - economics</subject><subject>Medicaid - statistics & numerical data</subject><subject>Medical care utilization</subject><subject>Medical care, Cost of</subject><subject>Medical economics</subject><subject>Medicine</subject><subject>Parents & parenting</subject><subject>Placement</subject><subject>Prevention programs</subject><subject>Primary Health Care - economics</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Social Determinants of Health</subject><subject>Social Determinants of Health - economics</subject><subject>Social Determinants of Health - statistics & numerical data</subject><subject>Social factors</subject><subject>Social services</subject><subject>Stability</subject><subject>Statistics</subject><subject>United States</subject><subject>Washington</subject><subject>Youth</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNqFk0GL1DAUx4so7rh69iYBQRTsbNq0TXsRhmHdFUYWXMVjyCSvnSydZDdJV_fm0aOf0U9iOh3HqQzaHgovv_fPe33vH0VPEzxNwnOSZDSPC0rJNCE4T-9Fk13kfjTBOKFxlaTZUfTIuSuMcUnK7GF0RHCR0yLBk-j7zDlwTukG-RUgZ4TiLZLgwa6V5to7ZGq0At76FRLcAhLGhWBtLHoPUgmu5M9vP0Bb07YgEZemBSegT1QafeZuFbS90ejScw-o21zFZRBXzlvu1S0gyT1_HD2oeevgyfZ7HH16e_pxfh4vLs7ezWeLWNCEpLHIKJS0wFVZCVymRC4TyEhJcoxFTeplSsusCt3nqcSi4KnMYVmCkIFLcZnl5Dh6M-hed8s1yL5Sy1t2bdWa2ztmuGLjE61WrDG3rCCkTCsSBF5uBay56cB5tlah4bblGkznWJrQitAkp1lAn_-FXpnO6tBeoIoyFFRU1R-q4S0wpWsT7hW9KJsFlbwowqQCFR-gGtAQijQaahXCI356gA-vhLUSBxNejRIC4-Grb3jnHCvPFv8qZsuKfgcaYGFg84sx_2KPH7bJmbbzymg3Bl_vgct-Wzbb6VSz8m6oZYSfDLiwxjkL9W6OCWa9QVhvB9bbgW0MEjKe7Y9_x_92RACKAfgS_s_d__TY-enlh0H5F5yXGPU</recordid><startdate>201902</startdate><enddate>201902</enddate><creator>Patton, Deleena A.</creator><creator>Liu, Qinghua</creator><creator>Adelson, Jaimie D.</creator><creator>Lucenko, Barbara A.</creator><general>Health Research and Educational Trust</general><general>Blackwell Publishing Ltd</general><general>John Wiley and Sons 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>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7QJ</scope><scope>7U3</scope><scope>BHHNA</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8223-4753</orcidid></search><sort><creationdate>201902</creationdate><title>Assessing the social determinants of health care costs for Medicaid‐enrolled adolescents in Washington State using administrative data</title><author>Patton, Deleena A. ; Liu, Qinghua ; Adelson, Jaimie D. ; Lucenko, Barbara A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7132-c47e8760989c0823db1e4383500cf3fb2784977352d0c6a2d5eb8ecddb1208453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>administrative data</topic><topic>Adolescence</topic><topic>Adolescent</topic><topic>Adolescent Health Services - economics</topic><topic>Adolescent Health Services - statistics & numerical data</topic><topic>Adolescents</topic><topic>Behavioral medicine</topic><topic>Child abuse</topic><topic>Child abuse & neglect</topic><topic>child abuse and neglect</topic><topic>Child health</topic><topic>Child placement</topic><topic>Child welfare</topic><topic>Children</topic><topic>Costs</topic><topic>Data</topic><topic>Early intervention</topic><topic>Expenditures</topic><topic>Family</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>Foster care</topic><topic>Foster children</topic><topic>Government programs</topic><topic>Government regulation</topic><topic>Health behavior</topic><topic>Health care costs</topic><topic>Health care expenditures</topic><topic>health expenditures</topic><topic>Health risks</topic><topic>Health services</topic><topic>Health Services Accessibility - economics</topic><topic>Health services utilization</topic><topic>Help seeking behavior</topic><topic>Humans</topic><topic>Laws, regulations and rules</topic><topic>Male</topic><topic>Market trend/market analysis</topic><topic>Medicaid</topic><topic>Medicaid - economics</topic><topic>Medicaid - statistics & numerical data</topic><topic>Medical care utilization</topic><topic>Medical care, Cost of</topic><topic>Medical economics</topic><topic>Medicine</topic><topic>Parents & parenting</topic><topic>Placement</topic><topic>Prevention programs</topic><topic>Primary Health Care - economics</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Social Determinants of Health</topic><topic>Social Determinants of Health - economics</topic><topic>Social Determinants of Health - statistics & numerical data</topic><topic>Social factors</topic><topic>Social services</topic><topic>Stability</topic><topic>Statistics</topic><topic>United States</topic><topic>Washington</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patton, Deleena A.</creatorcontrib><creatorcontrib>Liu, Qinghua</creatorcontrib><creatorcontrib>Adelson, Jaimie D.</creatorcontrib><creatorcontrib>Lucenko, Barbara A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patton, Deleena A.</au><au>Liu, Qinghua</au><au>Adelson, Jaimie D.</au><au>Lucenko, Barbara A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the social determinants of health care costs for Medicaid‐enrolled adolescents in Washington State using administrative data</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2019-02</date><risdate>2019</risdate><volume>54</volume><issue>1</issue><spage>52</spage><epage>63</epage><pages>52-63</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><abstract>Objective
The study used administrative data to identify the social determinants that have the greatest impact on Medicaid expenditures in adolescence.
Data Sources
Data were compiled using the Washington State Department of Social and Health Services Integrated Client Databases, which link data from state systems including Medicaid claims and social services receipt.
Study Design
Medical system and behavioral health service costs of over 180 000 Medicaid‐enrolled adolescents aged 12‐17 were measured using integrated administrative data from Washington State. Social determinants of health, including child maltreatment and parent risk factors, were also measured. Two‐stage regression models were used to identify factors associated with increased health care utilization and costs.
Principal Findings
Regression models revealed that the factors most predictive of higher health care costs were child abuse, child neglect, and instability in out‐of‐home placements related to foster care. Other social determinants of health, such as parent risk factors, were not associated with health care costs. Child maltreatment and placement instability impacted health care costs primarily through large increases in behavioral health utilization and costs.
Conclusions
Prevention and early interventions for children and families to decrease child maltreatment and increase foster care placement stability could reduce overall health care costs.</abstract><cop>United States</cop><pub>Health Research and Educational Trust</pub><pmid>30657610</pmid><doi>10.1111/1475-6773.13052</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8223-4753</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Sociological Abstracts; Access via Wiley Online Library; Applied Social Sciences Index & Abstracts (ASSIA); EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
subjects | administrative data Adolescence Adolescent Adolescent Health Services - economics Adolescent Health Services - statistics & numerical data Adolescents Behavioral medicine Child abuse Child abuse & neglect child abuse and neglect Child health Child placement Child welfare Children Costs Data Early intervention Expenditures Family Female Forecasts and trends Foster care Foster children Government programs Government regulation Health behavior Health care costs Health care expenditures health expenditures Health risks Health services Health Services Accessibility - economics Health services utilization Help seeking behavior Humans Laws, regulations and rules Male Market trend/market analysis Medicaid Medicaid - economics Medicaid - statistics & numerical data Medical care utilization Medical care, Cost of Medical economics Medicine Parents & parenting Placement Prevention programs Primary Health Care - economics Regression analysis Regression models Risk analysis Risk factors Social Determinants of Health Social Determinants of Health - economics Social Determinants of Health - statistics & numerical data Social factors Social services Stability Statistics United States Washington Youth |
title | Assessing the social determinants of health care costs for Medicaid‐enrolled adolescents in Washington State using administrative data |
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