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Distance to hospital and socioeconomic status influence secondary health care use
Abstract Objective. The aim of this study was to investigate how distance to hospital and socioeconomic status (SES) influence the use of secondary health care (SHC) when taking comorbidity into account. Design and setting. A register-based study in Östergötland County. Subjects. The adult populatio...
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Published in: | Scandinavian journal of primary health care 2013-06, Vol.31 (2), p.83-88 |
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Objective. The aim of this study was to investigate how distance to hospital and socioeconomic status (SES) influence the use of secondary health care (SHC) when taking comorbidity into account. Design and setting. A register-based study in Östergötland County. Subjects. The adult population of Östergötland County. Main outcome measures. Odds of SHC use in the population and rates of SHC use by patients were studied after taking into account comorbidity level assigned using the Adjusted Clinical Groups (ACG) Case-Mix System. The baseline for analysis of SES was individuals with the lowest education level (level 1) and the lowest income (1st quartile). Results. The study showed both positive and negative association between SES and use of SHC. The risk of incurring SHC costs was 12% higher for individuals with education level 1. Individuals with income in the 2nd quartile had a 4% higher risk of incurring SHC costs but a 17% lower risk of emergency department visits. Individuals with income in the 4th quartile had 9% lower risk of hospitalization. The risk of using SHC services for the population was not associated with distance to hospital. Patients living over 40 km from hospital and patients with higher SES had lower use of SHC services. Conclusions. It was found that distance to hospital and SES influence SHC use after adjusting for comorbidity level, age, and gender. These results suggest that GPs and health care managers should pay a higher degree of attention to this when planning primary care services in order to minimize the potentially redundant use of SHC. |
doi_str_mv | 10.3109/02813432.2012.759712 |
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Objective. The aim of this study was to investigate how distance to hospital and socioeconomic status (SES) influence the use of secondary health care (SHC) when taking comorbidity into account. Design and setting. A register-based study in Östergötland County. Subjects. The adult population of Östergötland County. Main outcome measures. Odds of SHC use in the population and rates of SHC use by patients were studied after taking into account comorbidity level assigned using the Adjusted Clinical Groups (ACG) Case-Mix System. The baseline for analysis of SES was individuals with the lowest education level (level 1) and the lowest income (1st quartile). Results. The study showed both positive and negative association between SES and use of SHC. The risk of incurring SHC costs was 12% higher for individuals with education level 1. Individuals with income in the 2nd quartile had a 4% higher risk of incurring SHC costs but a 17% lower risk of emergency department visits. Individuals with income in the 4th quartile had 9% lower risk of hospitalization. The risk of using SHC services for the population was not associated with distance to hospital. Patients living over 40 km from hospital and patients with higher SES had lower use of SHC services. Conclusions. It was found that distance to hospital and SES influence SHC use after adjusting for comorbidity level, age, and gender. These results suggest that GPs and health care managers should pay a higher degree of attention to this when planning primary care services in order to minimize the potentially redundant use of SHC.</description><identifier>ISSN: 0281-3432</identifier><identifier>ISSN: 1502-7724</identifier><identifier>EISSN: 1502-7724</identifier><identifier>DOI: 10.3109/02813432.2012.759712</identifier><identifier>PMID: 23301541</identifier><identifier>CODEN: SJPCD7</identifier><language>eng</language><publisher>United States: Informa Healthcare</publisher><subject>Adult ; care utilization ; Case-mix ; Comorbidity ; Delivery of Health Care - utilization ; Educational Status ; Emergency services ; Female ; general practice ; geographical distance ; health ; Health care ; Health care management ; Health Care Service and Management, Health Policy and Services and Health Economy ; health care utilization ; Health costs ; Health Sciences ; Health Services Accessibility ; Health services utilization ; Health status ; Hospitalization ; Hospitalization - statistics & numerical data ; Hospitals ; Humans ; Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi ; Hälsovetenskap ; Income - statistics & numerical data ; Male ; Medical and Health Sciences ; MEDICIN ; Medicin och hälsovetenskap ; MEDICINE ; Middle Aged ; Original ; Primary care ; Primary health care ; Regression Analysis ; Socioeconomic factors ; Socioeconomic status ; Sweden ; Young Adult</subject><ispartof>Scandinavian journal of primary health care, 2013-06, Vol.31 (2), p.83-88</ispartof><rights>2013 Informa Healthcare 2013</rights><rights>2013 Informa Healthcare. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Informa Healthcare 2013 Informa Healthcare</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c686t-f078dc8a4bd8316fd765b7f3f23692b15cb46697f9e4f1607bd39fadc37b84633</citedby><cites>FETCH-LOGICAL-c686t-f078dc8a4bd8316fd765b7f3f23692b15cb46697f9e4f1607bd39fadc37b84633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656400/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2199210302?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,12846,25753,27502,27924,27925,30999,31000,37012,37013,44590,53791,53793,59143,59144,61218,61219</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23301541$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93961$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/3815312$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Zielinski, Andrzej</creatorcontrib><creatorcontrib>Borgquist, Lars</creatorcontrib><creatorcontrib>Halling, Anders</creatorcontrib><title>Distance to hospital and socioeconomic status influence secondary health care use</title><title>Scandinavian journal of primary health care</title><addtitle>Scand J Prim Health Care</addtitle><description>Abstract
Objective. The aim of this study was to investigate how distance to hospital and socioeconomic status (SES) influence the use of secondary health care (SHC) when taking comorbidity into account. Design and setting. A register-based study in Östergötland County. Subjects. The adult population of Östergötland County. Main outcome measures. Odds of SHC use in the population and rates of SHC use by patients were studied after taking into account comorbidity level assigned using the Adjusted Clinical Groups (ACG) Case-Mix System. The baseline for analysis of SES was individuals with the lowest education level (level 1) and the lowest income (1st quartile). Results. The study showed both positive and negative association between SES and use of SHC. The risk of incurring SHC costs was 12% higher for individuals with education level 1. Individuals with income in the 2nd quartile had a 4% higher risk of incurring SHC costs but a 17% lower risk of emergency department visits. Individuals with income in the 4th quartile had 9% lower risk of hospitalization. The risk of using SHC services for the population was not associated with distance to hospital. Patients living over 40 km from hospital and patients with higher SES had lower use of SHC services. Conclusions. It was found that distance to hospital and SES influence SHC use after adjusting for comorbidity level, age, and gender. These results suggest that GPs and health care managers should pay a higher degree of attention to this when planning primary care services in order to minimize the potentially redundant use of SHC.</description><subject>Adult</subject><subject>care utilization</subject><subject>Case-mix</subject><subject>Comorbidity</subject><subject>Delivery of Health Care - utilization</subject><subject>Educational Status</subject><subject>Emergency services</subject><subject>Female</subject><subject>general practice</subject><subject>geographical distance</subject><subject>health</subject><subject>Health care</subject><subject>Health care management</subject><subject>Health Care Service and Management, Health Policy and Services and Health Economy</subject><subject>health care utilization</subject><subject>Health costs</subject><subject>Health Sciences</subject><subject>Health Services Accessibility</subject><subject>Health services utilization</subject><subject>Health status</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi</subject><subject>Hälsovetenskap</subject><subject>Income - statistics & numerical data</subject><subject>Male</subject><subject>Medical and Health Sciences</subject><subject>MEDICIN</subject><subject>Medicin och hälsovetenskap</subject><subject>MEDICINE</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Primary care</subject><subject>Primary health care</subject><subject>Regression Analysis</subject><subject>Socioeconomic factors</subject><subject>Socioeconomic status</subject><subject>Sweden</subject><subject>Young Adult</subject><issn>0281-3432</issn><issn>1502-7724</issn><issn>1502-7724</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>7QJ</sourceid><sourceid>PIMPY</sourceid><recordid>eNqFkk1v1DAQhiMEokvhHyAUiQsHsnhsx44vRVXLl7QSQgKuI8exu66y8WInVP33OEpbWCTKwfLBz7yesZ-ieA5kzYCoN4Q2wDija0qArmWtJNAHxQpqQispKX9YrGakmpmj4klKl4RAQxR7XBxRxgjUHFbFl3OfRj0YW46h3Ia096PuSz10ZQrGB2vCEHbelBkap1T6wfWTnfE0H3U6Xpdbq_txWxodbTkl-7R45HSf7LOb_bj49v7d17OP1ebzh09np5vKiEaMlSOy6Uyjeds1DITrpKhb6ZijTCjaQm1aLoSSTlnuQBDZdkw53Rkm24YLxo6LzZKbrux-anEf_S63g0F77Kd9Xm1emCxS2ilgRCJQSpBrzVHnK1FYQhxwY6myOe71P-PO_fdTDPECez-hYkpAxk8WPLM72xk7jFH3B1WHJ4Pf4kX4iUzUghOSA17dBMTwY7JpxJ1Pxva9HmyYEkKekUhoKPwfZXX-TUHV_Cgv_0IvwxSH_A9IQSkKhBGaKb5QJoaUonV3fQPBWS68lQtnuXCRK5e9-HPmu6JbmzLwdgGyJiHu9FWIfYejvu5DdDFb5tMcf-8VJwcJi1uzWr8HuTfgF4mZ8Pw</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Zielinski, Andrzej</creator><creator>Borgquist, Lars</creator><creator>Halling, Anders</creator><general>Informa Healthcare</general><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>0YH</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>7QJ</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>PSYQQ</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DG8</scope><scope>D95</scope></search><sort><creationdate>20130601</creationdate><title>Distance to hospital and socioeconomic status influence secondary health care use</title><author>Zielinski, Andrzej ; Borgquist, Lars ; Halling, Anders</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c686t-f078dc8a4bd8316fd765b7f3f23692b15cb46697f9e4f1607bd39fadc37b84633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>care utilization</topic><topic>Case-mix</topic><topic>Comorbidity</topic><topic>Delivery of Health Care - utilization</topic><topic>Educational Status</topic><topic>Emergency services</topic><topic>Female</topic><topic>general practice</topic><topic>geographical distance</topic><topic>health</topic><topic>Health care</topic><topic>Health care management</topic><topic>Health Care Service and Management, Health Policy and Services and Health Economy</topic><topic>health care utilization</topic><topic>Health costs</topic><topic>Health Sciences</topic><topic>Health Services Accessibility</topic><topic>Health services utilization</topic><topic>Health status</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi</topic><topic>Hälsovetenskap</topic><topic>Income - statistics & numerical data</topic><topic>Male</topic><topic>Medical and Health Sciences</topic><topic>MEDICIN</topic><topic>Medicin och hälsovetenskap</topic><topic>MEDICINE</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Primary care</topic><topic>Primary health care</topic><topic>Regression Analysis</topic><topic>Socioeconomic factors</topic><topic>Socioeconomic status</topic><topic>Sweden</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zielinski, Andrzej</creatorcontrib><creatorcontrib>Borgquist, Lars</creatorcontrib><creatorcontrib>Halling, Anders</creatorcontrib><collection>Taylor & Francis Open Access(OpenAccess)</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>Applied Social Sciences Index & Abstracts (ASSIA)</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)</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</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>Publicly Available Content Database</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 One Psychology</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Linköpings universitet</collection><collection>SWEPUB Lunds universitet</collection><jtitle>Scandinavian journal of primary health care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zielinski, Andrzej</au><au>Borgquist, Lars</au><au>Halling, Anders</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distance to hospital and socioeconomic status influence secondary health care use</atitle><jtitle>Scandinavian journal of primary health care</jtitle><addtitle>Scand J Prim Health Care</addtitle><date>2013-06-01</date><risdate>2013</risdate><volume>31</volume><issue>2</issue><spage>83</spage><epage>88</epage><pages>83-88</pages><issn>0281-3432</issn><issn>1502-7724</issn><eissn>1502-7724</eissn><coden>SJPCD7</coden><abstract>Abstract
Objective. The aim of this study was to investigate how distance to hospital and socioeconomic status (SES) influence the use of secondary health care (SHC) when taking comorbidity into account. Design and setting. A register-based study in Östergötland County. Subjects. The adult population of Östergötland County. Main outcome measures. Odds of SHC use in the population and rates of SHC use by patients were studied after taking into account comorbidity level assigned using the Adjusted Clinical Groups (ACG) Case-Mix System. The baseline for analysis of SES was individuals with the lowest education level (level 1) and the lowest income (1st quartile). Results. The study showed both positive and negative association between SES and use of SHC. The risk of incurring SHC costs was 12% higher for individuals with education level 1. Individuals with income in the 2nd quartile had a 4% higher risk of incurring SHC costs but a 17% lower risk of emergency department visits. Individuals with income in the 4th quartile had 9% lower risk of hospitalization. The risk of using SHC services for the population was not associated with distance to hospital. Patients living over 40 km from hospital and patients with higher SES had lower use of SHC services. Conclusions. It was found that distance to hospital and SES influence SHC use after adjusting for comorbidity level, age, and gender. These results suggest that GPs and health care managers should pay a higher degree of attention to this when planning primary care services in order to minimize the potentially redundant use of SHC.</abstract><cop>United States</cop><pub>Informa Healthcare</pub><pmid>23301541</pmid><doi>10.3109/02813432.2012.759712</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult care utilization Case-mix Comorbidity Delivery of Health Care - utilization Educational Status Emergency services Female general practice geographical distance health Health care Health care management Health Care Service and Management, Health Policy and Services and Health Economy health care utilization Health costs Health Sciences Health Services Accessibility Health services utilization Health status Hospitalization Hospitalization - statistics & numerical data Hospitals Humans Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi Hälsovetenskap Income - statistics & numerical data Male Medical and Health Sciences MEDICIN Medicin och hälsovetenskap MEDICINE Middle Aged Original Primary care Primary health care Regression Analysis Socioeconomic factors Socioeconomic status Sweden Young Adult |
title | Distance to hospital and socioeconomic status influence secondary health care use |
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