Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals
IMPORTANCE Identifying high priority pediatric conditions is important for setting a research agenda in hospital pediatrics that will benefit families, clinicians, and the health care system. However, the last such prioritization study was conducted more than a decade ago and used International Clas...
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description | IMPORTANCE Identifying high priority pediatric conditions is important for setting a research agenda in hospital pediatrics that will benefit families, clinicians, and the health care system. However, the last such prioritization study was conducted more than a decade ago and used International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.
OBJECTIVES To identify conditions that should be prioritized for comparative effectiveness research based on prevalence, cost, and variation in cost of hospitalizations using contemporary data at US children's hospitals.
DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of children with hospital encounters used data from the Pediatric Health Information System database. Children younger than 18 years with inpatient hospital encounters at 45 tertiary care US children's hospitals between January 1, 2016, and December 31, 2019, were included. Data were analyzed from March 2020 to April 2021.
MAIN OUTCOMES AND MEASURES The condition-specific prevalence and total standardized cost, the corresponding prevalence and cost ranks, and the variation in standardized cost per encounter across hospitals were analyzed. The variation in cost was assessed using the number of outlier hospitals and intraclass correlation coefficient.
RESULTS There were 2 882 490 inpatient hospital encounters (median [interquartile range] age, 4 [1-12] years; 1 554 024 [53.9%] boys) included. Among the 50 most prevalent and 50 most costly conditions (total, 74 conditions), 49 (66.2%) were medical, 15 (20.3%) were surgical, and 10 (13.5%) were medical/surgical. The top 10 conditions by cost accounted for $12.4 billion of $33.4 billion total costs (37.4%) and 592 815 encounters (33.8% of all encounters). Of 74 conditions, 4 conditions had an intraclass correlation coefficient (ICC) of 0.30 or higher (ie, major depressive disorder: ICC, 0.49; type 1 diabetes with complications: ICC, 0.36; diabetic ketoacidosis: ICC, 0.33; acute appendicitis without peritonitis: ICC, 0.30), and 9 conditions had an ICC higher than 0.20 (scoliosis: ICC, 0.27; hypertrophy of tonsils and adenoids: ICC, 0.26; supracondylar fracture of humerus: ICC, 0.25; cleft lip and palate: ICC, 0.24; acute appendicitis with peritonitis: ICC, 0.21). Examples of conditions high in prevalence, cost, and variation in cost included major depressive disorder (cost rank, 19; prevalence rank, 10; ICC, 0.49), scoliosis (cost rank, 6; prevalence rank, 3 |
doi_str_mv | 10.1001/jamanetworkopen.2021.17816 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8314139</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2555348147</sourcerecordid><originalsourceid>FETCH-LOGICAL-a403t-ded51992b2b0368b759ad32930614d13988c1dbd284e56376e52d3b67118e91f3</originalsourceid><addsrcrecordid>eNqNkV1rFDEUhoMottT-BRn0woLdNd-TeFGQQd1CQUGrlyEzyexmnU3WJNPSf2-m2y5tr7w6h-TJyzl5AHiD4BxBiD6s9UZ7m69D_BO21s8xxGiOaoH4M3CIWU1nRED2_EF_AI5TWkMIMUREcvYSHBBKoOS8PgTdubE-u_7G-WXVBG9cdsGn6rfLq2rhlqvqe7RXerC-s6cFSPm00t5Uv3R0ekIr52-Pp3r5o2pWbjDR-nepWoS0dVkP6RV40Zdij-_qEbj88vlns5hdfPt63ny6mGkKSZ4ZaxiSEre4hYSLtmZSG4IlgRxRU0YXokOmNVhQyzipuWXYkJbXCAkrUU-OwNkudzu2G2u6sljUg9pGt9HxRgXt1OMb71ZqGa6UIIiW_BJwchcQw9_Rpqw2LnV2GMqPhzEpzBgjVCBaF_TtE3QdxujLegpzLoSEmNFCfdxRXQwpRdvvh0FQTTrVE51q0qludZbHrx-us396L68A73fAtW1Dnzo3SdpjRTivJeVSlA5Os4j_p5sibrLbhNFn8g8bRMD7</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2668890254</pqid></control><display><type>article</type><title>Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>Web of Science - Social Sciences Citation Index – 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>Alma/SFX Local Collection</source><creator>Gill, Peter J. ; Anwar, Mohammed Rashidul ; Thavam, Thaksha ; Hall, Matt ; Rodean, Jonathan ; Kaiser, Sunitha V. ; Srivastava, Rajendu ; Keren, Ron ; Mahant, Sanjay</creator><creatorcontrib>Gill, Peter J. ; Anwar, Mohammed Rashidul ; Thavam, Thaksha ; Hall, Matt ; Rodean, Jonathan ; Kaiser, Sunitha V. ; Srivastava, Rajendu ; Keren, Ron ; Mahant, Sanjay ; Pediat Res Inpatient Setting PRIS ; Pediatric Research in Inpatient Setting (PRIS) Network ; Pediatric Research in Inpatient Setting (PRIS) Network</creatorcontrib><description>IMPORTANCE Identifying high priority pediatric conditions is important for setting a research agenda in hospital pediatrics that will benefit families, clinicians, and the health care system. However, the last such prioritization study was conducted more than a decade ago and used International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.
OBJECTIVES To identify conditions that should be prioritized for comparative effectiveness research based on prevalence, cost, and variation in cost of hospitalizations using contemporary data at US children's hospitals.
DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of children with hospital encounters used data from the Pediatric Health Information System database. Children younger than 18 years with inpatient hospital encounters at 45 tertiary care US children's hospitals between January 1, 2016, and December 31, 2019, were included. Data were analyzed from March 2020 to April 2021.
MAIN OUTCOMES AND MEASURES The condition-specific prevalence and total standardized cost, the corresponding prevalence and cost ranks, and the variation in standardized cost per encounter across hospitals were analyzed. The variation in cost was assessed using the number of outlier hospitals and intraclass correlation coefficient.
RESULTS There were 2 882 490 inpatient hospital encounters (median [interquartile range] age, 4 [1-12] years; 1 554 024 [53.9%] boys) included. Among the 50 most prevalent and 50 most costly conditions (total, 74 conditions), 49 (66.2%) were medical, 15 (20.3%) were surgical, and 10 (13.5%) were medical/surgical. The top 10 conditions by cost accounted for $12.4 billion of $33.4 billion total costs (37.4%) and 592 815 encounters (33.8% of all encounters). Of 74 conditions, 4 conditions had an intraclass correlation coefficient (ICC) of 0.30 or higher (ie, major depressive disorder: ICC, 0.49; type 1 diabetes with complications: ICC, 0.36; diabetic ketoacidosis: ICC, 0.33; acute appendicitis without peritonitis: ICC, 0.30), and 9 conditions had an ICC higher than 0.20 (scoliosis: ICC, 0.27; hypertrophy of tonsils and adenoids: ICC, 0.26; supracondylar fracture of humerus: ICC, 0.25; cleft lip and palate: ICC, 0.24; acute appendicitis with peritonitis: ICC, 0.21). Examples of conditions high in prevalence, cost, and variation in cost included major depressive disorder (cost rank, 19; prevalence rank, 10; ICC, 0.49), scoliosis (cost rank, 6; prevalence rank, 38; ICC, 0.27), acute appendicitis with peritonitis (cost rank, 13; prevalence rank, 11; ICC, 0.21), asthma (cost rank, 10; prevalence rank, 2; ICC, 0.17), and dehydration (cost rank, 24; prevalence rank, 8; ICC, 0.18).
CONCLUSIONS AND RELEVANCE This cohort study found that major depressive disorder, scoliosis, acute appendicitis with peritonitis, asthma, and dehydration were high in prevalence, costs, and variation in cost. These results could help identify where future comparative effectiveness research in hospital pediatrics should be targeted to improve the care and outcomes of hospitalized children.</description><identifier>ISSN: 2574-3805</identifier><identifier>EISSN: 2574-3805</identifier><identifier>DOI: 10.1001/jamanetworkopen.2021.17816</identifier><identifier>PMID: 34309667</identifier><language>eng</language><publisher>CHICAGO: Amer Medical Assoc</publisher><subject><![CDATA[Adolescent ; Appendicitis ; Appendicitis - economics ; Appendicitis - epidemiology ; Asthma ; Asthma - economics ; Asthma - epidemiology ; Child ; Child, Hospitalized - statistics & numerical data ; Child, Preschool ; Comparative Effectiveness Research ; Databases, Factual ; Dehydration - economics ; Dehydration - epidemiology ; Depressive Disorder, Major - economics ; Depressive Disorder, Major - epidemiology ; Diabetic ketoacidosis ; Female ; General & Internal Medicine ; Health Priorities - economics ; Health Priorities - statistics & numerical data ; Hospital Costs - statistics & numerical data ; Hospitalization - economics ; Hospitalization - statistics & numerical data ; Hospitals ; Hospitals, Pediatric - economics ; Hospitals, Pediatric - statistics & numerical data ; Humans ; Infant ; Infant, Newborn ; Life Sciences & Biomedicine ; Male ; Medicine, General & Internal ; Online Only ; Original Investigation ; Pediatrics ; Peritonitis ; Peritonitis - economics ; Peritonitis - epidemiology ; Prevalence ; Retrospective Studies ; Science & Technology ; Scoliosis ; Scoliosis - economics ; Scoliosis - epidemiology ; United States - epidemiology]]></subject><ispartof>JAMA network open, 2021-07, Vol.4 (7), p.e2117816-e2117816, Article 2117816</ispartof><rights>2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright 2021 Gill PJ et al. .</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>44</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000679469800004</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-a403t-ded51992b2b0368b759ad32930614d13988c1dbd284e56376e52d3b67118e91f3</citedby><cites>FETCH-LOGICAL-a403t-ded51992b2b0368b759ad32930614d13988c1dbd284e56376e52d3b67118e91f3</cites><orcidid>0000-0002-9862-9362 ; 0000-0003-0649-6222 ; 0000-0001-7778-5887 ; 0000-0001-9778-4961</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,865,886,2115,27929,27930,39262,39263</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34309667$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gill, Peter J.</creatorcontrib><creatorcontrib>Anwar, Mohammed Rashidul</creatorcontrib><creatorcontrib>Thavam, Thaksha</creatorcontrib><creatorcontrib>Hall, Matt</creatorcontrib><creatorcontrib>Rodean, Jonathan</creatorcontrib><creatorcontrib>Kaiser, Sunitha V.</creatorcontrib><creatorcontrib>Srivastava, Rajendu</creatorcontrib><creatorcontrib>Keren, Ron</creatorcontrib><creatorcontrib>Mahant, Sanjay</creatorcontrib><creatorcontrib>Pediat Res Inpatient Setting PRIS</creatorcontrib><creatorcontrib>Pediatric Research in Inpatient Setting (PRIS) Network</creatorcontrib><creatorcontrib>Pediatric Research in Inpatient Setting (PRIS) Network</creatorcontrib><title>Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals</title><title>JAMA network open</title><addtitle>JAMA NETW OPEN</addtitle><addtitle>JAMA Netw Open</addtitle><description>IMPORTANCE Identifying high priority pediatric conditions is important for setting a research agenda in hospital pediatrics that will benefit families, clinicians, and the health care system. However, the last such prioritization study was conducted more than a decade ago and used International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.
OBJECTIVES To identify conditions that should be prioritized for comparative effectiveness research based on prevalence, cost, and variation in cost of hospitalizations using contemporary data at US children's hospitals.
DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of children with hospital encounters used data from the Pediatric Health Information System database. Children younger than 18 years with inpatient hospital encounters at 45 tertiary care US children's hospitals between January 1, 2016, and December 31, 2019, were included. Data were analyzed from March 2020 to April 2021.
MAIN OUTCOMES AND MEASURES The condition-specific prevalence and total standardized cost, the corresponding prevalence and cost ranks, and the variation in standardized cost per encounter across hospitals were analyzed. The variation in cost was assessed using the number of outlier hospitals and intraclass correlation coefficient.
RESULTS There were 2 882 490 inpatient hospital encounters (median [interquartile range] age, 4 [1-12] years; 1 554 024 [53.9%] boys) included. Among the 50 most prevalent and 50 most costly conditions (total, 74 conditions), 49 (66.2%) were medical, 15 (20.3%) were surgical, and 10 (13.5%) were medical/surgical. The top 10 conditions by cost accounted for $12.4 billion of $33.4 billion total costs (37.4%) and 592 815 encounters (33.8% of all encounters). Of 74 conditions, 4 conditions had an intraclass correlation coefficient (ICC) of 0.30 or higher (ie, major depressive disorder: ICC, 0.49; type 1 diabetes with complications: ICC, 0.36; diabetic ketoacidosis: ICC, 0.33; acute appendicitis without peritonitis: ICC, 0.30), and 9 conditions had an ICC higher than 0.20 (scoliosis: ICC, 0.27; hypertrophy of tonsils and adenoids: ICC, 0.26; supracondylar fracture of humerus: ICC, 0.25; cleft lip and palate: ICC, 0.24; acute appendicitis with peritonitis: ICC, 0.21). Examples of conditions high in prevalence, cost, and variation in cost included major depressive disorder (cost rank, 19; prevalence rank, 10; ICC, 0.49), scoliosis (cost rank, 6; prevalence rank, 38; ICC, 0.27), acute appendicitis with peritonitis (cost rank, 13; prevalence rank, 11; ICC, 0.21), asthma (cost rank, 10; prevalence rank, 2; ICC, 0.17), and dehydration (cost rank, 24; prevalence rank, 8; ICC, 0.18).
CONCLUSIONS AND RELEVANCE This cohort study found that major depressive disorder, scoliosis, acute appendicitis with peritonitis, asthma, and dehydration were high in prevalence, costs, and variation in cost. These results could help identify where future comparative effectiveness research in hospital pediatrics should be targeted to improve the care and outcomes of hospitalized children.</description><subject>Adolescent</subject><subject>Appendicitis</subject><subject>Appendicitis - economics</subject><subject>Appendicitis - epidemiology</subject><subject>Asthma</subject><subject>Asthma - economics</subject><subject>Asthma - epidemiology</subject><subject>Child</subject><subject>Child, Hospitalized - statistics & numerical data</subject><subject>Child, Preschool</subject><subject>Comparative Effectiveness Research</subject><subject>Databases, Factual</subject><subject>Dehydration - economics</subject><subject>Dehydration - epidemiology</subject><subject>Depressive Disorder, Major - economics</subject><subject>Depressive Disorder, Major - epidemiology</subject><subject>Diabetic ketoacidosis</subject><subject>Female</subject><subject>General & Internal Medicine</subject><subject>Health Priorities - economics</subject><subject>Health Priorities - statistics & numerical data</subject><subject>Hospital Costs - statistics & numerical data</subject><subject>Hospitalization - economics</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Hospitals</subject><subject>Hospitals, Pediatric - economics</subject><subject>Hospitals, Pediatric - statistics & numerical data</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Life Sciences & Biomedicine</subject><subject>Male</subject><subject>Medicine, General & Internal</subject><subject>Online Only</subject><subject>Original Investigation</subject><subject>Pediatrics</subject><subject>Peritonitis</subject><subject>Peritonitis - economics</subject><subject>Peritonitis - epidemiology</subject><subject>Prevalence</subject><subject>Retrospective Studies</subject><subject>Science & Technology</subject><subject>Scoliosis</subject><subject>Scoliosis - economics</subject><subject>Scoliosis - epidemiology</subject><subject>United States - epidemiology</subject><issn>2574-3805</issn><issn>2574-3805</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GIZIO</sourceid><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkV1rFDEUhoMottT-BRn0woLdNd-TeFGQQd1CQUGrlyEzyexmnU3WJNPSf2-m2y5tr7w6h-TJyzl5AHiD4BxBiD6s9UZ7m69D_BO21s8xxGiOaoH4M3CIWU1nRED2_EF_AI5TWkMIMUREcvYSHBBKoOS8PgTdubE-u_7G-WXVBG9cdsGn6rfLq2rhlqvqe7RXerC-s6cFSPm00t5Uv3R0ekIr52-Pp3r5o2pWbjDR-nepWoS0dVkP6RV40Zdij-_qEbj88vlns5hdfPt63ny6mGkKSZ4ZaxiSEre4hYSLtmZSG4IlgRxRU0YXokOmNVhQyzipuWXYkJbXCAkrUU-OwNkudzu2G2u6sljUg9pGt9HxRgXt1OMb71ZqGa6UIIiW_BJwchcQw9_Rpqw2LnV2GMqPhzEpzBgjVCBaF_TtE3QdxujLegpzLoSEmNFCfdxRXQwpRdvvh0FQTTrVE51q0qludZbHrx-us396L68A73fAtW1Dnzo3SdpjRTivJeVSlA5Os4j_p5sibrLbhNFn8g8bRMD7</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Gill, Peter J.</creator><creator>Anwar, Mohammed Rashidul</creator><creator>Thavam, Thaksha</creator><creator>Hall, Matt</creator><creator>Rodean, Jonathan</creator><creator>Kaiser, Sunitha V.</creator><creator>Srivastava, Rajendu</creator><creator>Keren, Ron</creator><creator>Mahant, Sanjay</creator><general>Amer Medical Assoc</general><general>American Medical Association</general><scope>17B</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>GIZIO</scope><scope>HGBXW</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>3V.</scope><scope>7X7</scope><scope>7XB</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>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9862-9362</orcidid><orcidid>https://orcid.org/0000-0003-0649-6222</orcidid><orcidid>https://orcid.org/0000-0001-7778-5887</orcidid><orcidid>https://orcid.org/0000-0001-9778-4961</orcidid></search><sort><creationdate>20210701</creationdate><title>Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals</title><author>Gill, Peter J. ; Anwar, Mohammed Rashidul ; Thavam, Thaksha ; Hall, Matt ; Rodean, Jonathan ; Kaiser, Sunitha V. ; Srivastava, Rajendu ; Keren, Ron ; Mahant, Sanjay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a403t-ded51992b2b0368b759ad32930614d13988c1dbd284e56376e52d3b67118e91f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Appendicitis</topic><topic>Appendicitis - economics</topic><topic>Appendicitis - epidemiology</topic><topic>Asthma</topic><topic>Asthma - economics</topic><topic>Asthma - epidemiology</topic><topic>Child</topic><topic>Child, Hospitalized - statistics & numerical data</topic><topic>Child, Preschool</topic><topic>Comparative Effectiveness Research</topic><topic>Databases, Factual</topic><topic>Dehydration - economics</topic><topic>Dehydration - epidemiology</topic><topic>Depressive Disorder, Major - economics</topic><topic>Depressive Disorder, Major - epidemiology</topic><topic>Diabetic ketoacidosis</topic><topic>Female</topic><topic>General & Internal Medicine</topic><topic>Health Priorities - economics</topic><topic>Health Priorities - statistics & numerical data</topic><topic>Hospital Costs - statistics & numerical data</topic><topic>Hospitalization - economics</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Hospitals</topic><topic>Hospitals, Pediatric - economics</topic><topic>Hospitals, Pediatric - statistics & numerical data</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Life Sciences & Biomedicine</topic><topic>Male</topic><topic>Medicine, General & Internal</topic><topic>Online Only</topic><topic>Original Investigation</topic><topic>Pediatrics</topic><topic>Peritonitis</topic><topic>Peritonitis - economics</topic><topic>Peritonitis - epidemiology</topic><topic>Prevalence</topic><topic>Retrospective Studies</topic><topic>Science & Technology</topic><topic>Scoliosis</topic><topic>Scoliosis - economics</topic><topic>Scoliosis - epidemiology</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gill, Peter J.</creatorcontrib><creatorcontrib>Anwar, Mohammed Rashidul</creatorcontrib><creatorcontrib>Thavam, Thaksha</creatorcontrib><creatorcontrib>Hall, Matt</creatorcontrib><creatorcontrib>Rodean, Jonathan</creatorcontrib><creatorcontrib>Kaiser, Sunitha V.</creatorcontrib><creatorcontrib>Srivastava, Rajendu</creatorcontrib><creatorcontrib>Keren, Ron</creatorcontrib><creatorcontrib>Mahant, Sanjay</creatorcontrib><creatorcontrib>Pediat Res Inpatient Setting PRIS</creatorcontrib><creatorcontrib>Pediatric Research in Inpatient Setting (PRIS) Network</creatorcontrib><creatorcontrib>Pediatric Research in Inpatient Setting (PRIS) Network</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Web of Science - Social Sciences Citation Index – 2021</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>JAMA network open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gill, Peter J.</au><au>Anwar, Mohammed Rashidul</au><au>Thavam, Thaksha</au><au>Hall, Matt</au><au>Rodean, Jonathan</au><au>Kaiser, Sunitha V.</au><au>Srivastava, Rajendu</au><au>Keren, Ron</au><au>Mahant, Sanjay</au><aucorp>Pediat Res Inpatient Setting PRIS</aucorp><aucorp>Pediatric Research in Inpatient Setting (PRIS) Network</aucorp><aucorp>Pediatric Research in Inpatient Setting (PRIS) Network</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals</atitle><jtitle>JAMA network open</jtitle><stitle>JAMA NETW OPEN</stitle><addtitle>JAMA Netw Open</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>4</volume><issue>7</issue><spage>e2117816</spage><epage>e2117816</epage><pages>e2117816-e2117816</pages><artnum>2117816</artnum><issn>2574-3805</issn><eissn>2574-3805</eissn><abstract>IMPORTANCE Identifying high priority pediatric conditions is important for setting a research agenda in hospital pediatrics that will benefit families, clinicians, and the health care system. However, the last such prioritization study was conducted more than a decade ago and used International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.
OBJECTIVES To identify conditions that should be prioritized for comparative effectiveness research based on prevalence, cost, and variation in cost of hospitalizations using contemporary data at US children's hospitals.
DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of children with hospital encounters used data from the Pediatric Health Information System database. Children younger than 18 years with inpatient hospital encounters at 45 tertiary care US children's hospitals between January 1, 2016, and December 31, 2019, were included. Data were analyzed from March 2020 to April 2021.
MAIN OUTCOMES AND MEASURES The condition-specific prevalence and total standardized cost, the corresponding prevalence and cost ranks, and the variation in standardized cost per encounter across hospitals were analyzed. The variation in cost was assessed using the number of outlier hospitals and intraclass correlation coefficient.
RESULTS There were 2 882 490 inpatient hospital encounters (median [interquartile range] age, 4 [1-12] years; 1 554 024 [53.9%] boys) included. Among the 50 most prevalent and 50 most costly conditions (total, 74 conditions), 49 (66.2%) were medical, 15 (20.3%) were surgical, and 10 (13.5%) were medical/surgical. The top 10 conditions by cost accounted for $12.4 billion of $33.4 billion total costs (37.4%) and 592 815 encounters (33.8% of all encounters). Of 74 conditions, 4 conditions had an intraclass correlation coefficient (ICC) of 0.30 or higher (ie, major depressive disorder: ICC, 0.49; type 1 diabetes with complications: ICC, 0.36; diabetic ketoacidosis: ICC, 0.33; acute appendicitis without peritonitis: ICC, 0.30), and 9 conditions had an ICC higher than 0.20 (scoliosis: ICC, 0.27; hypertrophy of tonsils and adenoids: ICC, 0.26; supracondylar fracture of humerus: ICC, 0.25; cleft lip and palate: ICC, 0.24; acute appendicitis with peritonitis: ICC, 0.21). Examples of conditions high in prevalence, cost, and variation in cost included major depressive disorder (cost rank, 19; prevalence rank, 10; ICC, 0.49), scoliosis (cost rank, 6; prevalence rank, 38; ICC, 0.27), acute appendicitis with peritonitis (cost rank, 13; prevalence rank, 11; ICC, 0.21), asthma (cost rank, 10; prevalence rank, 2; ICC, 0.17), and dehydration (cost rank, 24; prevalence rank, 8; ICC, 0.18).
CONCLUSIONS AND RELEVANCE This cohort study found that major depressive disorder, scoliosis, acute appendicitis with peritonitis, asthma, and dehydration were high in prevalence, costs, and variation in cost. These results could help identify where future comparative effectiveness research in hospital pediatrics should be targeted to improve the care and outcomes of hospitalized children.</abstract><cop>CHICAGO</cop><pub>Amer Medical Assoc</pub><pmid>34309667</pmid><doi>10.1001/jamanetworkopen.2021.17816</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-9862-9362</orcidid><orcidid>https://orcid.org/0000-0003-0649-6222</orcidid><orcidid>https://orcid.org/0000-0001-7778-5887</orcidid><orcidid>https://orcid.org/0000-0001-9778-4961</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2574-3805 |
ispartof | JAMA network open, 2021-07, Vol.4 (7), p.e2117816-e2117816, Article 2117816 |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Web of Science - Social Sciences Citation Index – 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Alma/SFX Local Collection |
subjects | Adolescent Appendicitis Appendicitis - economics Appendicitis - epidemiology Asthma Asthma - economics Asthma - epidemiology Child Child, Hospitalized - statistics & numerical data Child, Preschool Comparative Effectiveness Research Databases, Factual Dehydration - economics Dehydration - epidemiology Depressive Disorder, Major - economics Depressive Disorder, Major - epidemiology Diabetic ketoacidosis Female General & Internal Medicine Health Priorities - economics Health Priorities - statistics & numerical data Hospital Costs - statistics & numerical data Hospitalization - economics Hospitalization - statistics & numerical data Hospitals Hospitals, Pediatric - economics Hospitals, Pediatric - statistics & numerical data Humans Infant Infant, Newborn Life Sciences & Biomedicine Male Medicine, General & Internal Online Only Original Investigation Pediatrics Peritonitis Peritonitis - economics Peritonitis - epidemiology Prevalence Retrospective Studies Science & Technology Scoliosis Scoliosis - economics Scoliosis - epidemiology United States - epidemiology |
title | Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals |
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