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
Hauptverfasser: Patton, Deleena A., Liu, Qinghua, Adelson, Jaimie D., Lucenko, Barbara A.
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container_title Health services research
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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
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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 &amp; numerical data ; Adolescents ; Behavioral medicine ; Child abuse ; Child abuse &amp; 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 &amp; numerical data ; Medical care utilization ; Medical care, Cost of ; Medical economics ; Medicine ; Parents &amp; 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 &amp; 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 &amp; numerical data</subject><subject>Adolescents</subject><subject>Behavioral medicine</subject><subject>Child abuse</subject><subject>Child abuse &amp; 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 &amp; numerical data</subject><subject>Medical care utilization</subject><subject>Medical care, Cost of</subject><subject>Medical economics</subject><subject>Medicine</subject><subject>Parents &amp; 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 &amp; 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 &amp; numerical data</topic><topic>Adolescents</topic><topic>Behavioral medicine</topic><topic>Child abuse</topic><topic>Child abuse &amp; 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 &amp; numerical data</topic><topic>Medical care utilization</topic><topic>Medical care, Cost of</topic><topic>Medical economics</topic><topic>Medicine</topic><topic>Parents &amp; 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 &amp; 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 &amp; Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>ProQuest Health &amp; 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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