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Social indicators and the prediction of psychiatric admission in different diagnostic groups
Recent findings indicate that the established association between social indicators of deprivation and psychiatric admission rates may not hold across all diagnoses. Admission rates in individuals aged 16-64 years for 71 electoral wards in North Staffordshire were calculated for six diagnostic group...
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Published in: | British journal of psychiatry 1997-11, Vol.171 (5), p.457-462 |
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description | Recent findings indicate that the established association between social indicators of deprivation and psychiatric admission rates may not hold across all diagnoses.
Admission rates in individuals aged 16-64 years for 71 electoral wards in North Staffordshire were calculated for six diagnostic groups using data from the Korner Episode System for 1987-1993. These were correlated with selected individual census variables, Townsend and Jarman indices. The ability of regression models to predict admission rates was tested.
The strongest correlations were found for total admissions (r 0.44-0.79). Strong correlations were found for neurotic disorders/depression (r 0.29-0.62), schizophrenia (r 0.24-0.59), all non-psychotic disorders combined (r 0.41-0.71) and all psychotic disorders combined (r 0.33-0.67). Predicted admission rates for total admissions, psychotic and non-psychotic admissions using regression models showed strong positive correlations with observed admission rates.
The strong correlations between social indicators of deprivation and total psychotic admission rates are consistent with the results of previous studies. The strong associations between social indicators and admissions for non-psychotic disorders is contrary to previous findings and may be partly explained by the relatively high admission rates for neurotic disorders. |
doi_str_mv | 10.1192/bjp.171.5.457 |
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Admission rates in individuals aged 16-64 years for 71 electoral wards in North Staffordshire were calculated for six diagnostic groups using data from the Korner Episode System for 1987-1993. These were correlated with selected individual census variables, Townsend and Jarman indices. The ability of regression models to predict admission rates was tested.
The strongest correlations were found for total admissions (r 0.44-0.79). Strong correlations were found for neurotic disorders/depression (r 0.29-0.62), schizophrenia (r 0.24-0.59), all non-psychotic disorders combined (r 0.41-0.71) and all psychotic disorders combined (r 0.33-0.67). Predicted admission rates for total admissions, psychotic and non-psychotic admissions using regression models showed strong positive correlations with observed admission rates.
The strong correlations between social indicators of deprivation and total psychotic admission rates are consistent with the results of previous studies. The strong associations between social indicators and admissions for non-psychotic disorders is contrary to previous findings and may be partly explained by the relatively high admission rates for neurotic disorders.</description><identifier>ISSN: 0007-1250</identifier><identifier>EISSN: 1472-1465</identifier><identifier>DOI: 10.1192/bjp.171.5.457</identifier><identifier>PMID: 9463606</identifier><identifier>CODEN: BJPYAJ</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Adult ; Censuses ; Diagnosis ; Diagnosis-Related Groups ; England ; England - epidemiology ; Forecasting ; Hospitalization - statistics & numerical data ; Hospitals, Psychiatric ; Humans ; Institutionalization (Persons) ; Mental disorders ; Mental Disorders - epidemiology ; Mental Disorders - therapy ; Mental Hospitals ; Middle Aged ; Prediction ; Psychiatry ; Psychology, Social ; Psychosis ; Regression Analysis ; Schizophrenia ; Social Indicators ; Variables</subject><ispartof>British journal of psychiatry, 1997-11, Vol.171 (5), p.457-462</ispartof><rights>Copyright © 1997 The Royal College of Psychiatrists</rights><rights>Copyright Headley Brothers, Ltd. Invicta Press Nov 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-4afcd489fc9f2784587e68904c98995c23d91e44bbd4d695a74eb9064a8658853</citedby><cites>FETCH-LOGICAL-c445t-4afcd489fc9f2784587e68904c98995c23d91e44bbd4d695a74eb9064a8658853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/274785244/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/274785244?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,12846,21394,21395,27924,27925,30999,33611,33612,33775,34530,34531,43733,44115,72960,74221,74639</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9463606$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Boardman, Anthony P.</creatorcontrib><creatorcontrib>Hodgson, Richard E.</creatorcontrib><creatorcontrib>Lewis, Martyn</creatorcontrib><creatorcontrib>Allen, Keith</creatorcontrib><title>Social indicators and the prediction of psychiatric admission in different diagnostic groups</title><title>British journal of psychiatry</title><addtitle>Br J Psychiatry</addtitle><description>Recent findings indicate that the established association between social indicators of deprivation and psychiatric admission rates may not hold across all diagnoses.
Admission rates in individuals aged 16-64 years for 71 electoral wards in North Staffordshire were calculated for six diagnostic groups using data from the Korner Episode System for 1987-1993. These were correlated with selected individual census variables, Townsend and Jarman indices. The ability of regression models to predict admission rates was tested.
The strongest correlations were found for total admissions (r 0.44-0.79). Strong correlations were found for neurotic disorders/depression (r 0.29-0.62), schizophrenia (r 0.24-0.59), all non-psychotic disorders combined (r 0.41-0.71) and all psychotic disorders combined (r 0.33-0.67). Predicted admission rates for total admissions, psychotic and non-psychotic admissions using regression models showed strong positive correlations with observed admission rates.
The strong correlations between social indicators of deprivation and total psychotic admission rates are consistent with the results of previous studies. The strong associations between social indicators and admissions for non-psychotic disorders is contrary to previous findings and may be partly explained by the relatively high admission rates for neurotic disorders.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Censuses</subject><subject>Diagnosis</subject><subject>Diagnosis-Related Groups</subject><subject>England</subject><subject>England - epidemiology</subject><subject>Forecasting</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Hospitals, Psychiatric</subject><subject>Humans</subject><subject>Institutionalization (Persons)</subject><subject>Mental disorders</subject><subject>Mental Disorders - epidemiology</subject><subject>Mental Disorders - therapy</subject><subject>Mental Hospitals</subject><subject>Middle Aged</subject><subject>Prediction</subject><subject>Psychiatry</subject><subject>Psychology, Social</subject><subject>Psychosis</subject><subject>Regression Analysis</subject><subject>Schizophrenia</subject><subject>Social Indicators</subject><subject>Variables</subject><issn>0007-1250</issn><issn>1472-1465</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ALSLI</sourceid><sourceid>HEHIP</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><sourceid>BHHNA</sourceid><recordid>eNqFkc2LFDEQxYO4rOPq0aPQehAvPZtkqvJxlMUvWNiDehNCOknPZJjptEk3sv-9mZ1BUZb1lKTej1dVeYS8YHTJmOaX3XZcMsmWuASUj8iCgeQtA4GPyYJSKlvGkT4hT0vZ1ucKuDwn5xrESlCxIN-_JBftromDj85OKZfGDr6ZNqEZc6i1KaahSX0zllu3iXbK0TXW72MpByEOjY99H3IYpnqz6yGVqRLrnOaxPCNnvd2V8Px0XpBvH95_vfrUXt98_Hz17rp1ADi1YHvnQene6Z5LBahkEEpTcFppjY6vvGYBoOs8eKHRSgidpgKsEqgUri7Im6PvmNOPOZTJ1Plc2O3sENJcjNSIWL_kv6BgKCjeOb59EGRSMKG50lDR1_-g2zTnoe5ruASpkMMBao-Qy6mUHHoz5ri3-dYwag4xmhpjdWUGTY2x8i9PpnO3D_43fcqt6q-O-iauNz9jDia7u4T-8rg89bT7Lke_Dn8mu7_rL-Nfsp0</recordid><startdate>19971101</startdate><enddate>19971101</enddate><creator>Boardman, Anthony P.</creator><creator>Hodgson, Richard E.</creator><creator>Lewis, Martyn</creator><creator>Allen, Keith</creator><general>Cambridge University Press</general><general>RCP</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>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7TK</scope><scope>7XB</scope><scope>88G</scope><scope>88J</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>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>M2M</scope><scope>M2O</scope><scope>M2R</scope><scope>M2S</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7U3</scope><scope>BHHNA</scope><scope>7X8</scope></search><sort><creationdate>19971101</creationdate><title>Social indicators and the prediction of psychiatric admission in different diagnostic groups</title><author>Boardman, Anthony P. ; Hodgson, Richard E. ; Lewis, Martyn ; Allen, Keith</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-4afcd489fc9f2784587e68904c98995c23d91e44bbd4d695a74eb9064a8658853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Censuses</topic><topic>Diagnosis</topic><topic>Diagnosis-Related Groups</topic><topic>England</topic><topic>England - epidemiology</topic><topic>Forecasting</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Hospitals, Psychiatric</topic><topic>Humans</topic><topic>Institutionalization (Persons)</topic><topic>Mental disorders</topic><topic>Mental Disorders - epidemiology</topic><topic>Mental Disorders - therapy</topic><topic>Mental Hospitals</topic><topic>Middle Aged</topic><topic>Prediction</topic><topic>Psychiatry</topic><topic>Psychology, Social</topic><topic>Psychosis</topic><topic>Regression Analysis</topic><topic>Schizophrenia</topic><topic>Social Indicators</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boardman, Anthony P.</creatorcontrib><creatorcontrib>Hodgson, Richard E.</creatorcontrib><creatorcontrib>Lewis, Martyn</creatorcontrib><creatorcontrib>Allen, Keith</creatorcontrib><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【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</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)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</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 Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>Psychology Database</collection><collection>ProQuest research library</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</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>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>British journal of psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boardman, Anthony P.</au><au>Hodgson, Richard E.</au><au>Lewis, Martyn</au><au>Allen, Keith</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social indicators and the prediction of psychiatric admission in different diagnostic groups</atitle><jtitle>British journal of psychiatry</jtitle><addtitle>Br J Psychiatry</addtitle><date>1997-11-01</date><risdate>1997</risdate><volume>171</volume><issue>5</issue><spage>457</spage><epage>462</epage><pages>457-462</pages><issn>0007-1250</issn><eissn>1472-1465</eissn><coden>BJPYAJ</coden><abstract>Recent findings indicate that the established association between social indicators of deprivation and psychiatric admission rates may not hold across all diagnoses.
Admission rates in individuals aged 16-64 years for 71 electoral wards in North Staffordshire were calculated for six diagnostic groups using data from the Korner Episode System for 1987-1993. These were correlated with selected individual census variables, Townsend and Jarman indices. The ability of regression models to predict admission rates was tested.
The strongest correlations were found for total admissions (r 0.44-0.79). Strong correlations were found for neurotic disorders/depression (r 0.29-0.62), schizophrenia (r 0.24-0.59), all non-psychotic disorders combined (r 0.41-0.71) and all psychotic disorders combined (r 0.33-0.67). Predicted admission rates for total admissions, psychotic and non-psychotic admissions using regression models showed strong positive correlations with observed admission rates.
The strong correlations between social indicators of deprivation and total psychotic admission rates are consistent with the results of previous studies. The strong associations between social indicators and admissions for non-psychotic disorders is contrary to previous findings and may be partly explained by the relatively high admission rates for neurotic disorders.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>9463606</pmid><doi>10.1192/bjp.171.5.457</doi><tpages>6</tpages></addata></record> |
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subjects | Adolescent Adult Censuses Diagnosis Diagnosis-Related Groups England England - epidemiology Forecasting Hospitalization - statistics & numerical data Hospitals, Psychiatric Humans Institutionalization (Persons) Mental disorders Mental Disorders - epidemiology Mental Disorders - therapy Mental Hospitals Middle Aged Prediction Psychiatry Psychology, Social Psychosis Regression Analysis Schizophrenia Social Indicators Variables |
title | Social indicators and the prediction of psychiatric admission in different diagnostic groups |
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