Community household income and resource utilization for common inpatient pediatric conditions
Child health is influenced by biomedical and socioeconomic factors. Few studies have explored the relationship between community-level income and inpatient resource utilization for children. Our objective was to analyze inpatient costs for children hospitalized with common conditions in relation to...
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Veröffentlicht in: | Pediatrics (Evanston) 2013-12, Vol.132 (6), p.e1592-e1601 |
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creator | Fieldston, Evan S Zaniletti, Isabella Hall, Matthew Colvin, Jeffrey D Gottlieb, Laura Macy, Michelle L Alpern, Elizabeth R Morse, Rustin B Hain, Paul D Sills, Marion R Frank, Gary Shah, Samir S |
description | Child health is influenced by biomedical and socioeconomic factors. Few studies have explored the relationship between community-level income and inpatient resource utilization for children. Our objective was to analyze inpatient costs for children hospitalized with common conditions in relation to zip code-based median annual household income (HHI).
Retrospective national cohort from 32 freestanding children's hospitals for asthma, diabetes, bronchiolitis and respiratory syncytial virus, pneumonia, and kidney and urinary tract infections. Standardized cost of care for individual hospitalizations and across hospitalizations for the same patient and condition were modeled by using mixed-effects methods, adjusting for severity of illness, age, gender, and race. Main exposure was median annual HHI. Posthoc tests compared adjusted standardized costs for patients from the lowest and highest income groups.
From 116,636 hospitalizations, 4 of 5 conditions had differences at the hospitalization and at the patient level, with lowest-income groups having higher costs. The individual hospitalization level cost differences ranged from $187 (4.1%) to $404 (6.4%). Patient-level cost differences ranged from $310 to $1087 or 6.5% to 15% higher for the lowest-income patients. Higher costs were typically not for laboratory, imaging, or pharmacy costs. In total, patients from lowest income zip codes had $8.4 million more in hospitalization-level costs and $13.6 million more in patient-level costs.
Lower community-level HHI is associated with higher inpatient costs of care for 4 of 5 common pediatric conditions. These findings highlight the need to consider socioeconomic status in health care system design, delivery, and reimbursement calculations. |
doi_str_mv | 10.1542/peds.2013-0619 |
format | Article |
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Retrospective national cohort from 32 freestanding children's hospitals for asthma, diabetes, bronchiolitis and respiratory syncytial virus, pneumonia, and kidney and urinary tract infections. Standardized cost of care for individual hospitalizations and across hospitalizations for the same patient and condition were modeled by using mixed-effects methods, adjusting for severity of illness, age, gender, and race. Main exposure was median annual HHI. Posthoc tests compared adjusted standardized costs for patients from the lowest and highest income groups.
From 116,636 hospitalizations, 4 of 5 conditions had differences at the hospitalization and at the patient level, with lowest-income groups having higher costs. The individual hospitalization level cost differences ranged from $187 (4.1%) to $404 (6.4%). Patient-level cost differences ranged from $310 to $1087 or 6.5% to 15% higher for the lowest-income patients. Higher costs were typically not for laboratory, imaging, or pharmacy costs. In total, patients from lowest income zip codes had $8.4 million more in hospitalization-level costs and $13.6 million more in patient-level costs.
Lower community-level HHI is associated with higher inpatient costs of care for 4 of 5 common pediatric conditions. These findings highlight the need to consider socioeconomic status in health care system design, delivery, and reimbursement calculations.</description><identifier>ISSN: 0031-4005</identifier><identifier>EISSN: 1098-4275</identifier><identifier>DOI: 10.1542/peds.2013-0619</identifier><identifier>PMID: 24276839</identifier><identifier>CODEN: PEDIAU</identifier><language>eng</language><publisher>United States: American Academy of Pediatrics</publisher><subject>Adolescent ; Asthma - economics ; Asthma - therapy ; Child ; Child health ; Child, Preschool ; Children ; Cohort Studies ; Comparative studies ; Diabetes Mellitus - economics ; Diabetes Mellitus - therapy ; Economic aspects ; Female ; Health aspects ; Health Resources - economics ; Health Resources - statistics & numerical data ; Health Resources - utilization ; Health Status Disparities ; Hospital care ; Hospital Costs - statistics & numerical data ; Hospitalization ; Hospitalization - economics ; Hospitals, Pediatric - economics ; Hospitals, Pediatric - statistics & numerical data ; Humans ; Income ; Income - statistics & numerical data ; Infant ; Infant, Newborn ; Influence ; Low income groups ; Male ; Models, Economic ; Models, Statistical ; Pediatrics ; Poverty Areas ; Respiratory Tract Infections - economics ; Respiratory Tract Infections - therapy ; Retrospective Studies ; Social aspects ; Social class ; Social classes ; Socioeconomic factors ; United States ; Urologic Diseases - economics ; Urologic Diseases - therapy</subject><ispartof>Pediatrics (Evanston), 2013-12, Vol.132 (6), p.e1592-e1601</ispartof><rights>Copyright American Academy of Pediatrics Dec 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-e775fd3eaca011e6d450e148d838c84455dec562d55ad15bd03f5b2f3f6ceb373</citedby><cites>FETCH-LOGICAL-c361t-e775fd3eaca011e6d450e148d838c84455dec562d55ad15bd03f5b2f3f6ceb373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24276839$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fieldston, Evan S</creatorcontrib><creatorcontrib>Zaniletti, Isabella</creatorcontrib><creatorcontrib>Hall, Matthew</creatorcontrib><creatorcontrib>Colvin, Jeffrey D</creatorcontrib><creatorcontrib>Gottlieb, Laura</creatorcontrib><creatorcontrib>Macy, Michelle L</creatorcontrib><creatorcontrib>Alpern, Elizabeth R</creatorcontrib><creatorcontrib>Morse, Rustin B</creatorcontrib><creatorcontrib>Hain, Paul D</creatorcontrib><creatorcontrib>Sills, Marion R</creatorcontrib><creatorcontrib>Frank, Gary</creatorcontrib><creatorcontrib>Shah, Samir S</creatorcontrib><title>Community household income and resource utilization for common inpatient pediatric conditions</title><title>Pediatrics (Evanston)</title><addtitle>Pediatrics</addtitle><description>Child health is influenced by biomedical and socioeconomic factors. Few studies have explored the relationship between community-level income and inpatient resource utilization for children. Our objective was to analyze inpatient costs for children hospitalized with common conditions in relation to zip code-based median annual household income (HHI).
Retrospective national cohort from 32 freestanding children's hospitals for asthma, diabetes, bronchiolitis and respiratory syncytial virus, pneumonia, and kidney and urinary tract infections. Standardized cost of care for individual hospitalizations and across hospitalizations for the same patient and condition were modeled by using mixed-effects methods, adjusting for severity of illness, age, gender, and race. Main exposure was median annual HHI. Posthoc tests compared adjusted standardized costs for patients from the lowest and highest income groups.
From 116,636 hospitalizations, 4 of 5 conditions had differences at the hospitalization and at the patient level, with lowest-income groups having higher costs. The individual hospitalization level cost differences ranged from $187 (4.1%) to $404 (6.4%). Patient-level cost differences ranged from $310 to $1087 or 6.5% to 15% higher for the lowest-income patients. Higher costs were typically not for laboratory, imaging, or pharmacy costs. In total, patients from lowest income zip codes had $8.4 million more in hospitalization-level costs and $13.6 million more in patient-level costs.
Lower community-level HHI is associated with higher inpatient costs of care for 4 of 5 common pediatric conditions. These findings highlight the need to consider socioeconomic status in health care system design, delivery, and reimbursement calculations.</description><subject>Adolescent</subject><subject>Asthma - economics</subject><subject>Asthma - therapy</subject><subject>Child</subject><subject>Child health</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Cohort Studies</subject><subject>Comparative studies</subject><subject>Diabetes Mellitus - economics</subject><subject>Diabetes Mellitus - therapy</subject><subject>Economic aspects</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health Resources - economics</subject><subject>Health Resources - statistics & numerical data</subject><subject>Health Resources - utilization</subject><subject>Health Status Disparities</subject><subject>Hospital care</subject><subject>Hospital Costs - statistics & numerical data</subject><subject>Hospitalization</subject><subject>Hospitalization - economics</subject><subject>Hospitals, Pediatric - economics</subject><subject>Hospitals, Pediatric - statistics & numerical data</subject><subject>Humans</subject><subject>Income</subject><subject>Income - statistics & numerical data</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Influence</subject><subject>Low income groups</subject><subject>Male</subject><subject>Models, Economic</subject><subject>Models, Statistical</subject><subject>Pediatrics</subject><subject>Poverty Areas</subject><subject>Respiratory Tract Infections - economics</subject><subject>Respiratory Tract Infections - therapy</subject><subject>Retrospective Studies</subject><subject>Social aspects</subject><subject>Social class</subject><subject>Social classes</subject><subject>Socioeconomic factors</subject><subject>United States</subject><subject>Urologic Diseases - economics</subject><subject>Urologic Diseases - therapy</subject><issn>0031-4005</issn><issn>1098-4275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0U1P7CAYBWBiNDpX3bo0Tdy46Qjlo3RpJuq9iYkbXRrCwFvFtDACTRx_vTSjLu4KAg_kwEHojOAl4ay52oBNywYTWmNBuj20ILiTNWtavo8WGFNSM4z5EfqT0hvGmPG2OURHTQFC0m6BnldhHCfv8rZ6DVOC1zDYynkTRqi0t1WEFKZooJqyG9ynzi74qg-xKmIsU-c3ZQ18rkoSp3N0pmx562aYTtBBr4cEp9_jMXq6vXlc_a3vH-7-ra7va0MFyTW0Le8tBW00JgSEZRwDYdJKKo1kjHMLhovGcq4t4WuLac_XTU97YWBNW3qMLnf3bmJ4nyBlNbpkYBi0h_IqRZhgsmOik4Ve_EffygN9STerlrFWUFFUvVMvegA1_4fP8JFNGAZ4AVXCrx7UNeWsk5yy2S933sSQUoRebaIbddwqgtVclJqLUnNRai6qHDj_jjGtR7C__KcZ-gWMPI-V</recordid><startdate>201312</startdate><enddate>201312</enddate><creator>Fieldston, Evan S</creator><creator>Zaniletti, Isabella</creator><creator>Hall, Matthew</creator><creator>Colvin, Jeffrey D</creator><creator>Gottlieb, Laura</creator><creator>Macy, Michelle L</creator><creator>Alpern, Elizabeth R</creator><creator>Morse, Rustin B</creator><creator>Hain, Paul D</creator><creator>Sills, Marion R</creator><creator>Frank, Gary</creator><creator>Shah, Samir S</creator><general>American Academy of Pediatrics</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>7TS</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>U9A</scope><scope>7X8</scope></search><sort><creationdate>201312</creationdate><title>Community household income and resource utilization for common inpatient pediatric conditions</title><author>Fieldston, Evan S ; Zaniletti, Isabella ; Hall, Matthew ; Colvin, Jeffrey D ; Gottlieb, Laura ; Macy, Michelle L ; Alpern, Elizabeth R ; Morse, Rustin B ; Hain, Paul D ; Sills, Marion R ; Frank, Gary ; Shah, Samir S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-e775fd3eaca011e6d450e148d838c84455dec562d55ad15bd03f5b2f3f6ceb373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Asthma - economics</topic><topic>Asthma - therapy</topic><topic>Child</topic><topic>Child health</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Cohort Studies</topic><topic>Comparative studies</topic><topic>Diabetes Mellitus - economics</topic><topic>Diabetes Mellitus - therapy</topic><topic>Economic aspects</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health Resources - economics</topic><topic>Health Resources - statistics & numerical data</topic><topic>Health Resources - utilization</topic><topic>Health Status Disparities</topic><topic>Hospital care</topic><topic>Hospital Costs - statistics & numerical data</topic><topic>Hospitalization</topic><topic>Hospitalization - economics</topic><topic>Hospitals, Pediatric - economics</topic><topic>Hospitals, Pediatric - statistics & numerical data</topic><topic>Humans</topic><topic>Income</topic><topic>Income - statistics & numerical data</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Influence</topic><topic>Low income groups</topic><topic>Male</topic><topic>Models, Economic</topic><topic>Models, Statistical</topic><topic>Pediatrics</topic><topic>Poverty Areas</topic><topic>Respiratory Tract Infections - economics</topic><topic>Respiratory Tract Infections - therapy</topic><topic>Retrospective Studies</topic><topic>Social aspects</topic><topic>Social class</topic><topic>Social classes</topic><topic>Socioeconomic factors</topic><topic>United States</topic><topic>Urologic Diseases - economics</topic><topic>Urologic Diseases - therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fieldston, Evan S</creatorcontrib><creatorcontrib>Zaniletti, Isabella</creatorcontrib><creatorcontrib>Hall, Matthew</creatorcontrib><creatorcontrib>Colvin, Jeffrey D</creatorcontrib><creatorcontrib>Gottlieb, Laura</creatorcontrib><creatorcontrib>Macy, Michelle L</creatorcontrib><creatorcontrib>Alpern, Elizabeth R</creatorcontrib><creatorcontrib>Morse, Rustin B</creatorcontrib><creatorcontrib>Hain, Paul D</creatorcontrib><creatorcontrib>Sills, Marion R</creatorcontrib><creatorcontrib>Frank, Gary</creatorcontrib><creatorcontrib>Shah, Samir S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatrics (Evanston)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fieldston, Evan S</au><au>Zaniletti, Isabella</au><au>Hall, Matthew</au><au>Colvin, Jeffrey D</au><au>Gottlieb, Laura</au><au>Macy, Michelle L</au><au>Alpern, Elizabeth R</au><au>Morse, Rustin B</au><au>Hain, Paul D</au><au>Sills, Marion R</au><au>Frank, Gary</au><au>Shah, Samir S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Community household income and resource utilization for common inpatient pediatric conditions</atitle><jtitle>Pediatrics (Evanston)</jtitle><addtitle>Pediatrics</addtitle><date>2013-12</date><risdate>2013</risdate><volume>132</volume><issue>6</issue><spage>e1592</spage><epage>e1601</epage><pages>e1592-e1601</pages><issn>0031-4005</issn><eissn>1098-4275</eissn><coden>PEDIAU</coden><abstract>Child health is influenced by biomedical and socioeconomic factors. Few studies have explored the relationship between community-level income and inpatient resource utilization for children. Our objective was to analyze inpatient costs for children hospitalized with common conditions in relation to zip code-based median annual household income (HHI).
Retrospective national cohort from 32 freestanding children's hospitals for asthma, diabetes, bronchiolitis and respiratory syncytial virus, pneumonia, and kidney and urinary tract infections. Standardized cost of care for individual hospitalizations and across hospitalizations for the same patient and condition were modeled by using mixed-effects methods, adjusting for severity of illness, age, gender, and race. Main exposure was median annual HHI. Posthoc tests compared adjusted standardized costs for patients from the lowest and highest income groups.
From 116,636 hospitalizations, 4 of 5 conditions had differences at the hospitalization and at the patient level, with lowest-income groups having higher costs. The individual hospitalization level cost differences ranged from $187 (4.1%) to $404 (6.4%). Patient-level cost differences ranged from $310 to $1087 or 6.5% to 15% higher for the lowest-income patients. Higher costs were typically not for laboratory, imaging, or pharmacy costs. In total, patients from lowest income zip codes had $8.4 million more in hospitalization-level costs and $13.6 million more in patient-level costs.
Lower community-level HHI is associated with higher inpatient costs of care for 4 of 5 common pediatric conditions. These findings highlight the need to consider socioeconomic status in health care system design, delivery, and reimbursement calculations.</abstract><cop>United States</cop><pub>American Academy of Pediatrics</pub><pmid>24276839</pmid><doi>10.1542/peds.2013-0619</doi></addata></record> |
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subjects | Adolescent Asthma - economics Asthma - therapy Child Child health Child, Preschool Children Cohort Studies Comparative studies Diabetes Mellitus - economics Diabetes Mellitus - therapy Economic aspects Female Health aspects Health Resources - economics Health Resources - statistics & numerical data Health Resources - utilization Health Status Disparities Hospital care Hospital Costs - statistics & numerical data Hospitalization Hospitalization - economics Hospitals, Pediatric - economics Hospitals, Pediatric - statistics & numerical data Humans Income Income - statistics & numerical data Infant Infant, Newborn Influence Low income groups Male Models, Economic Models, Statistical Pediatrics Poverty Areas Respiratory Tract Infections - economics Respiratory Tract Infections - therapy Retrospective Studies Social aspects Social class Social classes Socioeconomic factors United States Urologic Diseases - economics Urologic Diseases - therapy |
title | Community household income and resource utilization for common inpatient pediatric conditions |
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