Primary care in Germany: access and utilisation—a cross-sectional study with data from the German Socio-Economic Panel (SOEP)

Objectives(1) To describe the accessibility of general practitioners (GPs) by the German population; (2) to determine factors on individual and area level, such as settlement structure and area deprivation, which are associated with the walking distance to a GP; and (3) to identify factors that may...

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Veröffentlicht in:BMJ open 2018-10, Vol.8 (10), p.1-10
Hauptverfasser: Greiner, Gregory Gordon, Schwettmann, Lars, Goebel, Jan, Maier, Werner
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creator Greiner, Gregory Gordon
Schwettmann, Lars
Goebel, Jan
Maier, Werner
description Objectives(1) To describe the accessibility of general practitioners (GPs) by the German population; (2) to determine factors on individual and area level, such as settlement structure and area deprivation, which are associated with the walking distance to a GP; and (3) to identify factors that may cause differences in the utilisation of any doctors.DesignCross-sectional study using individual survey data from the representative German Socio-Economic Panel (SOEP) linked with area deprivation data from the German Index of Multiple Deprivation for 2010 (GIMD 2010) and official data for settlement structure (urban/rural areas) at district level. Logistic regression models were estimated to determine the relationship of individual and area factors with the distance to a GP. Negative binomial regressions were used to analyse the association with utilisation.SettingGermany.Populationn=20 601 respondents from the SOEP survey data 2009.Primary outcome measureWalking distance to a GP.Secondary outcome measureDoctor visits.ResultsNearly 70% of the sample lives within a 20 min walk to a GP. People living in the most deprived areas have a 1.4-fold (95% CI 1.3 to 1.6) increased probability of a greater walking distance compared with the least deprived quintile, even after controlling for settlement structure and individual factors. In rural districts, people have a 3.1-fold (95% CI 2.8 to 3.4) higher probability of a greater walking distance compared with those in cities. Both area deprivation and rurality have a negative relationship with the utilisation of physicians, whereas the distance to a GP is not associated with the utilisation of physicians.ConclusionWalking distance to a GP depends on individual and area factors. In Germany, area deprivation is negatively correlated with the accessibility of GPs while controlling for settlement structure and individual factors. Both area factors are negatively associated with the utilisation of doctors. This knowledge could be used for future GP requirement plans.
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Logistic regression models were estimated to determine the relationship of individual and area factors with the distance to a GP. Negative binomial regressions were used to analyse the association with utilisation.SettingGermany.Populationn=20 601 respondents from the SOEP survey data 2009.Primary outcome measureWalking distance to a GP.Secondary outcome measureDoctor visits.ResultsNearly 70% of the sample lives within a 20 min walk to a GP. People living in the most deprived areas have a 1.4-fold (95% CI 1.3 to 1.6) increased probability of a greater walking distance compared with the least deprived quintile, even after controlling for settlement structure and individual factors. In rural districts, people have a 3.1-fold (95% CI 2.8 to 3.4) higher probability of a greater walking distance compared with those in cities. Both area deprivation and rurality have a negative relationship with the utilisation of physicians, whereas the distance to a GP is not associated with the utilisation of physicians.ConclusionWalking distance to a GP depends on individual and area factors. In Germany, area deprivation is negatively correlated with the accessibility of GPs while controlling for settlement structure and individual factors. Both area factors are negatively associated with the utilisation of doctors. This knowledge could be used for future GP requirement plans.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2017-021036</identifier><identifier>PMID: 30355791</identifier><language>eng</language><publisher>London: British Medical Journal Publishing Group</publisher><subject>Cross-sectional studies ; Family physicians ; Health facilities ; Health Services Research ; Households ; Income distribution ; Population ; Primary care ; Public transportation ; Questionnaires ; Rural areas ; Socioeconomic factors ; Systematic review ; Urban areas ; Walking</subject><ispartof>BMJ open, 2018-10, Vol.8 (10), p.1-10</ispartof><rights>Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2018 Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b494t-95b7c419fbf9ec4e4a13b3544cfa82952dbf3fdfd6bb07674514efcbf80f58243</citedby><cites>FETCH-LOGICAL-b494t-95b7c419fbf9ec4e4a13b3544cfa82952dbf3fdfd6bb07674514efcbf80f58243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/8/10/e021036.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/8/10/e021036.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27549,27550,27924,27925,53791,53793,77473,77504</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30355791$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Greiner, Gregory Gordon</creatorcontrib><creatorcontrib>Schwettmann, Lars</creatorcontrib><creatorcontrib>Goebel, Jan</creatorcontrib><creatorcontrib>Maier, Werner</creatorcontrib><title>Primary care in Germany: access and utilisation—a cross-sectional study with data from the German Socio-Economic Panel (SOEP)</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>Objectives(1) To describe the accessibility of general practitioners (GPs) by the German population; (2) to determine factors on individual and area level, such as settlement structure and area deprivation, which are associated with the walking distance to a GP; and (3) to identify factors that may cause differences in the utilisation of any doctors.DesignCross-sectional study using individual survey data from the representative German Socio-Economic Panel (SOEP) linked with area deprivation data from the German Index of Multiple Deprivation for 2010 (GIMD 2010) and official data for settlement structure (urban/rural areas) at district level. Logistic regression models were estimated to determine the relationship of individual and area factors with the distance to a GP. Negative binomial regressions were used to analyse the association with utilisation.SettingGermany.Populationn=20 601 respondents from the SOEP survey data 2009.Primary outcome measureWalking distance to a GP.Secondary outcome measureDoctor visits.ResultsNearly 70% of the sample lives within a 20 min walk to a GP. People living in the most deprived areas have a 1.4-fold (95% CI 1.3 to 1.6) increased probability of a greater walking distance compared with the least deprived quintile, even after controlling for settlement structure and individual factors. In rural districts, people have a 3.1-fold (95% CI 2.8 to 3.4) higher probability of a greater walking distance compared with those in cities. Both area deprivation and rurality have a negative relationship with the utilisation of physicians, whereas the distance to a GP is not associated with the utilisation of physicians.ConclusionWalking distance to a GP depends on individual and area factors. In Germany, area deprivation is negatively correlated with the accessibility of GPs while controlling for settlement structure and individual factors. Both area factors are negatively associated with the utilisation of doctors. 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(2) to determine factors on individual and area level, such as settlement structure and area deprivation, which are associated with the walking distance to a GP; and (3) to identify factors that may cause differences in the utilisation of any doctors.DesignCross-sectional study using individual survey data from the representative German Socio-Economic Panel (SOEP) linked with area deprivation data from the German Index of Multiple Deprivation for 2010 (GIMD 2010) and official data for settlement structure (urban/rural areas) at district level. Logistic regression models were estimated to determine the relationship of individual and area factors with the distance to a GP. Negative binomial regressions were used to analyse the association with utilisation.SettingGermany.Populationn=20 601 respondents from the SOEP survey data 2009.Primary outcome measureWalking distance to a GP.Secondary outcome measureDoctor visits.ResultsNearly 70% of the sample lives within a 20 min walk to a GP. People living in the most deprived areas have a 1.4-fold (95% CI 1.3 to 1.6) increased probability of a greater walking distance compared with the least deprived quintile, even after controlling for settlement structure and individual factors. In rural districts, people have a 3.1-fold (95% CI 2.8 to 3.4) higher probability of a greater walking distance compared with those in cities. Both area deprivation and rurality have a negative relationship with the utilisation of physicians, whereas the distance to a GP is not associated with the utilisation of physicians.ConclusionWalking distance to a GP depends on individual and area factors. In Germany, area deprivation is negatively correlated with the accessibility of GPs while controlling for settlement structure and individual factors. Both area factors are negatively associated with the utilisation of doctors. This knowledge could be used for future GP requirement plans.</abstract><cop>London</cop><pub>British Medical Journal Publishing Group</pub><pmid>30355791</pmid><doi>10.1136/bmjopen-2017-021036</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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subjects Cross-sectional studies
Family physicians
Health facilities
Health Services Research
Households
Income distribution
Population
Primary care
Public transportation
Questionnaires
Rural areas
Socioeconomic factors
Systematic review
Urban areas
Walking
title Primary care in Germany: access and utilisation—a cross-sectional study with data from the German Socio-Economic Panel (SOEP)
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