Annual prevalence of diagnosed schizophrenia in the USA: a claims data analysis approach
Background. Schizophrenia is a debilitating chronic mental illness. However, the annual prevalence of schizophrenia is not well understood because of under-representation of schizophrenia patients in epidemiological surveys. This study used multiple administrative claims databases to estimate the an...
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description | Background. Schizophrenia is a debilitating chronic mental illness. However, the annual prevalence of schizophrenia is not well understood because of under-representation of schizophrenia patients in epidemiological surveys. This study used multiple administrative claims databases to estimate the annual prevalence of diagnosed schizophrenia in the USA. Method. The annual prevalence of diagnosed schizophrenia in the USA was estimated for different health insurance coverage groups. The prevalence for privately insured individuals was calculated from an administrative claims database of approximately 3 million privately insured beneficiaries covering the period 1999–2003. The prevalence for Medicaid enrollees was calculated from California Medicaid claims covering the period 2000–2002. The prevalence for Medicare and Medicaid/Medicare dual eligibles was estimated using a combination of both databases. Published statistics were used to estimate the prevalence of schizophrenia in the uninsured and veteran populations and to weight the prevalence rates obtained to the population of the USA. Results. The 12-month prevalence of diagnosed schizophrenia in the USA in 2002 was estimated at 5·1 per 1000 lives. The Medicaid population was identified with the highest prevalence rate among the populations studied. Sensitivity analyses taking into consideration the Veterans Affairs population only changed the estimate slightly to 5·3 per 1000 lives. Conclusion. Analyses of administrative claims data contribute to the understanding of the prevalence of diagnosed schizophrenia. |
doi_str_mv | 10.1017/S0033291706008191 |
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Schizophrenia is a debilitating chronic mental illness. However, the annual prevalence of schizophrenia is not well understood because of under-representation of schizophrenia patients in epidemiological surveys. This study used multiple administrative claims databases to estimate the annual prevalence of diagnosed schizophrenia in the USA. Method. The annual prevalence of diagnosed schizophrenia in the USA was estimated for different health insurance coverage groups. The prevalence for privately insured individuals was calculated from an administrative claims database of approximately 3 million privately insured beneficiaries covering the period 1999–2003. The prevalence for Medicaid enrollees was calculated from California Medicaid claims covering the period 2000–2002. The prevalence for Medicare and Medicaid/Medicare dual eligibles was estimated using a combination of both databases. Published statistics were used to estimate the prevalence of schizophrenia in the uninsured and veteran populations and to weight the prevalence rates obtained to the population of the USA. Results. The 12-month prevalence of diagnosed schizophrenia in the USA in 2002 was estimated at 5·1 per 1000 lives. The Medicaid population was identified with the highest prevalence rate among the populations studied. Sensitivity analyses taking into consideration the Veterans Affairs population only changed the estimate slightly to 5·3 per 1000 lives. Conclusion. Analyses of administrative claims data contribute to the understanding of the prevalence of diagnosed schizophrenia.</description><identifier>ISSN: 0033-2917</identifier><identifier>EISSN: 1469-8978</identifier><identifier>DOI: 10.1017/S0033291706008191</identifier><identifier>PMID: 16907994</identifier><identifier>CODEN: PSMDCO</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject><![CDATA[Adolescent ; Adult ; Adult and adolescent clinical studies ; Aged ; Biological and medical sciences ; California - epidemiology ; Chronic Disease ; Cross-Sectional Studies ; Data Collection - statistics & numerical data ; Epidemiology ; Estimating techniques ; Female ; General aspects ; Health insurance ; Humans ; Incidence ; Insurance Claim Reporting - statistics & numerical data ; Insurance, Health - statistics & numerical data ; Male ; Medicaid ; Medicaid - statistics & numerical data ; Medical sciences ; Medicare ; Medicare - statistics & numerical data ; Mental health ; Middle Aged ; Original Article ; Psychology ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Psychoses ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Schizophrenia ; Schizophrenia - diagnosis ; Schizophrenia - epidemiology ; United States - epidemiology ; Veterans Disability Claims - statistics & numerical data]]></subject><ispartof>Psychological medicine, 2006-11, Vol.36 (11), p.1535-1540</ispartof><rights>2006 Cambridge University Press</rights><rights>2007 INIST-CNRS</rights><rights>Copyright Cambridge University Press, Publishing Division Nov 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c614t-f43b4cdc7dc345d2f94998c7e8504fd7898847de0157d89ec7a5e2895cb8bb143</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0033291706008191/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,12825,27901,27902,30976,30977,55603</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18248141$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16907994$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>WU, ERIC Q.</creatorcontrib><creatorcontrib>SHI, LIZHENG</creatorcontrib><creatorcontrib>BIRNBAUM, HOWARD</creatorcontrib><creatorcontrib>HUDSON, TERESA</creatorcontrib><creatorcontrib>KESSLER, RONALD</creatorcontrib><title>Annual prevalence of diagnosed schizophrenia in the USA: a claims data analysis approach</title><title>Psychological medicine</title><addtitle>Psychol. Med</addtitle><description>Background. Schizophrenia is a debilitating chronic mental illness. However, the annual prevalence of schizophrenia is not well understood because of under-representation of schizophrenia patients in epidemiological surveys. This study used multiple administrative claims databases to estimate the annual prevalence of diagnosed schizophrenia in the USA. Method. The annual prevalence of diagnosed schizophrenia in the USA was estimated for different health insurance coverage groups. The prevalence for privately insured individuals was calculated from an administrative claims database of approximately 3 million privately insured beneficiaries covering the period 1999–2003. The prevalence for Medicaid enrollees was calculated from California Medicaid claims covering the period 2000–2002. The prevalence for Medicare and Medicaid/Medicare dual eligibles was estimated using a combination of both databases. Published statistics were used to estimate the prevalence of schizophrenia in the uninsured and veteran populations and to weight the prevalence rates obtained to the population of the USA. Results. The 12-month prevalence of diagnosed schizophrenia in the USA in 2002 was estimated at 5·1 per 1000 lives. The Medicaid population was identified with the highest prevalence rate among the populations studied. Sensitivity analyses taking into consideration the Veterans Affairs population only changed the estimate slightly to 5·3 per 1000 lives. Conclusion. Analyses of administrative claims data contribute to the understanding of the prevalence of diagnosed schizophrenia.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adult and adolescent clinical studies</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>California - epidemiology</subject><subject>Chronic Disease</subject><subject>Cross-Sectional Studies</subject><subject>Data Collection - statistics & numerical data</subject><subject>Epidemiology</subject><subject>Estimating techniques</subject><subject>Female</subject><subject>General aspects</subject><subject>Health insurance</subject><subject>Humans</subject><subject>Incidence</subject><subject>Insurance Claim Reporting - statistics & numerical data</subject><subject>Insurance, Health - statistics & numerical data</subject><subject>Male</subject><subject>Medicaid</subject><subject>Medicaid - statistics & numerical data</subject><subject>Medical sciences</subject><subject>Medicare</subject><subject>Medicare - statistics & numerical data</subject><subject>Mental health</subject><subject>Middle Aged</subject><subject>Original Article</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Psychoses</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Schizophrenia</subject><subject>Schizophrenia - diagnosis</subject><subject>Schizophrenia - epidemiology</subject><subject>United States - epidemiology</subject><subject>Veterans Disability Claims - statistics & numerical data</subject><issn>0033-2917</issn><issn>1469-8978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0c9rFDEUB_Agil2rf4AXCYK9jebnJPG2FLtKCyJtRbyEN0mmmzo7MyYzYv3rnWEHFxTpKYfv57285CH0nJLXlFD15pIQzpmhipSEaGroA7SiojSFNko_RKs5Lub8CD3J-ZYQyqlgj9ERLQ1RxogV-rJu2xEa3KfwA5rQuoC7GvsIN22Xg8fZbeOvrt-m0EbAscXDNuDry_VbDNg1EHcZexgAQwvNXY4ZQ9-nDtz2KXpUQ5PDs-U8Rtdn765O3xcXHzcfTtcXhSupGIpa8Eo475R3XEjPaiOM0U4FLYmovdJGa6F8IFQqr01wCmRg2khX6aqigh-jk33f6drvY8iD3cXsQtNAG7ox21KbkklB7oVSEUO5pPdCarhhis3w5V_wthvT9BHZMiKEIVKwCdE9cqnLOYXa9inuIN1ZSuy8RfvPFqeaF0vjsdoFf6hY1jaBVwuA7KCpE7Qu5oPTTGgq5kbF3sU8hJ9_ckjfbKm4krbcfLJUnX8trzbn9vPk-TIs7KoU_U04POn_4_4G1-nA4A</recordid><startdate>20061101</startdate><enddate>20061101</enddate><creator>WU, ERIC Q.</creator><creator>SHI, LIZHENG</creator><creator>BIRNBAUM, HOWARD</creator><creator>HUDSON, TERESA</creator><creator>KESSLER, RONALD</creator><general>Cambridge University Press</general><scope>BSCLL</scope><scope>IQODW</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>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20061101</creationdate><title>Annual prevalence of diagnosed schizophrenia in the USA: a claims data analysis approach</title><author>WU, ERIC Q. ; SHI, LIZHENG ; BIRNBAUM, HOWARD ; HUDSON, TERESA ; KESSLER, RONALD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c614t-f43b4cdc7dc345d2f94998c7e8504fd7898847de0157d89ec7a5e2895cb8bb143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adult and adolescent clinical studies</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>California - epidemiology</topic><topic>Chronic Disease</topic><topic>Cross-Sectional Studies</topic><topic>Data Collection - statistics & numerical data</topic><topic>Epidemiology</topic><topic>Estimating techniques</topic><topic>Female</topic><topic>General aspects</topic><topic>Health insurance</topic><topic>Humans</topic><topic>Incidence</topic><topic>Insurance Claim Reporting - statistics & numerical data</topic><topic>Insurance, Health - statistics & numerical data</topic><topic>Male</topic><topic>Medicaid</topic><topic>Medicaid - statistics & numerical data</topic><topic>Medical sciences</topic><topic>Medicare</topic><topic>Medicare - statistics & numerical data</topic><topic>Mental health</topic><topic>Middle Aged</topic><topic>Original Article</topic><topic>Psychology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Psychoses</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Schizophrenia</topic><topic>Schizophrenia - diagnosis</topic><topic>Schizophrenia - epidemiology</topic><topic>United States - epidemiology</topic><topic>Veterans Disability Claims - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>WU, ERIC Q.</creatorcontrib><creatorcontrib>SHI, LIZHENG</creatorcontrib><creatorcontrib>BIRNBAUM, HOWARD</creatorcontrib><creatorcontrib>HUDSON, TERESA</creatorcontrib><creatorcontrib>KESSLER, RONALD</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</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 Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Psychological medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>WU, ERIC Q.</au><au>SHI, LIZHENG</au><au>BIRNBAUM, HOWARD</au><au>HUDSON, TERESA</au><au>KESSLER, RONALD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Annual prevalence of diagnosed schizophrenia in the USA: a claims data analysis approach</atitle><jtitle>Psychological medicine</jtitle><addtitle>Psychol. Med</addtitle><date>2006-11-01</date><risdate>2006</risdate><volume>36</volume><issue>11</issue><spage>1535</spage><epage>1540</epage><pages>1535-1540</pages><issn>0033-2917</issn><eissn>1469-8978</eissn><coden>PSMDCO</coden><abstract>Background. Schizophrenia is a debilitating chronic mental illness. However, the annual prevalence of schizophrenia is not well understood because of under-representation of schizophrenia patients in epidemiological surveys. This study used multiple administrative claims databases to estimate the annual prevalence of diagnosed schizophrenia in the USA. Method. The annual prevalence of diagnosed schizophrenia in the USA was estimated for different health insurance coverage groups. The prevalence for privately insured individuals was calculated from an administrative claims database of approximately 3 million privately insured beneficiaries covering the period 1999–2003. The prevalence for Medicaid enrollees was calculated from California Medicaid claims covering the period 2000–2002. The prevalence for Medicare and Medicaid/Medicare dual eligibles was estimated using a combination of both databases. Published statistics were used to estimate the prevalence of schizophrenia in the uninsured and veteran populations and to weight the prevalence rates obtained to the population of the USA. Results. The 12-month prevalence of diagnosed schizophrenia in the USA in 2002 was estimated at 5·1 per 1000 lives. The Medicaid population was identified with the highest prevalence rate among the populations studied. Sensitivity analyses taking into consideration the Veterans Affairs population only changed the estimate slightly to 5·3 per 1000 lives. Conclusion. Analyses of administrative claims data contribute to the understanding of the prevalence of diagnosed schizophrenia.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>16907994</pmid><doi>10.1017/S0033291706008191</doi><tpages>6</tpages></addata></record> |
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subjects | Adolescent Adult Adult and adolescent clinical studies Aged Biological and medical sciences California - epidemiology Chronic Disease Cross-Sectional Studies Data Collection - statistics & numerical data Epidemiology Estimating techniques Female General aspects Health insurance Humans Incidence Insurance Claim Reporting - statistics & numerical data Insurance, Health - statistics & numerical data Male Medicaid Medicaid - statistics & numerical data Medical sciences Medicare Medicare - statistics & numerical data Mental health Middle Aged Original Article Psychology Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Psychoses Public health. Hygiene Public health. Hygiene-occupational medicine Schizophrenia Schizophrenia - diagnosis Schizophrenia - epidemiology United States - epidemiology Veterans Disability Claims - statistics & numerical data |
title | Annual prevalence of diagnosed schizophrenia in the USA: a claims data analysis approach |
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