{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T16:02:49Z","timestamp":1720108969853},"reference-count":15,"publisher":"Georg Thieme Verlag KG","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Gesundheitswesen"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:title>Zusammenfassung<\/jats:title><jats:p>\n          Hintergrund Studien in diversen anderen L\u00e4ndern haben gezeigt, dass\n                    es Stadt-Land-Unterschiede bei der Kaiserschnittrate gibt. Dabei zeigte der\n                    st\u00e4dtische Raum mehrheitlich h\u00f6here Kaiserschnittraten. Deshalb\n                    sollten die Kaiserschnittraten nun auch in Deutschland zwischen\n                    Krankenh\u00e4usern im st\u00e4dtischen und l\u00e4ndlichen Raum\n                    verglichen werden. Dar\u00fcber hinaus sollten weitere Faktoren identifiziert\n                    werden, welche die Kaiserschnittrate beeinflussen.<\/jats:p><jats:p>\n          Methodik Zur Untersuchung des vorliegenden Forschungsgegenstandes wurde\n                    eine Sekund\u00e4rdatenanalyse der Kaiserschnittraten in deutschen\n                    Krankenh\u00e4usern mit Geburtsstationen durchgef\u00fchrt. Betrachtet\n                    wurden dabei die Jahre 2015\u20132017. Die Kaiserschnittraten wurden den\n                    Qualit\u00e4tsberichten der Krankenh\u00e4user entnommen. Mithilfe des\n                    Statistikprogramms SPSS wurden Mittelwertvergleiche und multiple lineare\n                    Regressionen zur Erkl\u00e4rung der Kaiserschnittraten in den\n                    Krankenh\u00e4usern durchgef\u00fchrt.<\/jats:p><jats:p>\n          Ergebnisse Die Mittelwertanalyse ergab keine signifikanten Unterschiede bei\n                    der Kaiserschnittrate zwischen st\u00e4dtischen und l\u00e4ndlichen\n                    Krankenh\u00e4usern (2015: Stadt=31,87% und\n                    Land=31,6%, 2016: Stadt=31,09% und\n                    Land=31,04%, 2017: Stadt=31,26% und\n                    Land=31,03%). Die multiple lineare Regression hat ergeben, dass\n                    die Variablen \u201eBettenzahl\u201c (2015: b=0,005, 2016:\n                    b=0,007, 2017: b=0,006), \u201eLehrt\u00e4tigkeit\u201c\n                    (2015: b=\u2212\u20091,42, 2016:\n                    b=\u2212\u20091,351, 2017: b=\u2212\u20091,823),\n                    \u201eAnzahl der Frauen\u00e4rzte je 100\u2009000 Einwohner\u201c\n                    (2015: b=0,198, 2016: b=0,241, 2017: b=0,254) sowie der\n                    \u201eAnteil der Bev\u00f6lkerung mit Fach-\/Hochschulabschluss\n                    in%\u201c (2015: b=\u2212\u20090,45, 2016:\n                    b=\u2212\u20090,507, 2017: b=\u2212\u20090,392) in\n                    allen Untersuchungsjahren signifikante Pr\u00e4diktoren f\u00fcr die\n                    Kaiserschnittrate sind.<\/jats:p><jats:p>\n          Schlussfolgerung Die Studie konnte Krankenhausmerkmale sowie\n                    bev\u00f6lkerungs- bzw. versorgungsspezifische Merkmale als\n                    Pr\u00e4diktoren der Kaiserschnittraten identifizieren. Besonders relevant\n                    war das durchschnittliche Bildungsniveau des Landkreises, in dem sich das\n                    Krankenhaus befand. Kaiserschnittraten scheinen also weniger durch die\n                    Bev\u00f6lkerungsdichte als vielmehr durch das regionale Bildungsniveau\n                    beeinflusst.<\/jats:p>","DOI":"10.1055\/a-1531-4998","type":"journal-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T22:45:17Z","timestamp":1632523517000},"page":"944-951","source":"Crossref","is-referenced-by-count":1,"title":["Einflussfaktoren auf die Kaiserschnittraten in deutschen\n                    Krankenh\u00e4usern in den Jahren 2015\u20132017. Eine \u00f6kologische\n                    Studie"],"prefix":"10.1055","volume":"84","author":[{"given":"Linda","family":"Zipfel","sequence":"additional","affiliation":[{"name":"Fakult\u00e4t Wirtschafts- und Sozialwissenschaften,\n                    Universit\u00e4t Hohenheim, Stuttgart, Deutschland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Weidmann","sequence":"additional","affiliation":[{"name":"Fakult\u00e4t Gesundheit, Sicherheit, Gesellschaft, Hochschule\n                    Furtwangen University, Furtwangen, Deutschland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"ref2","first-page":"18","article-title":"Kollabiert die Geburtshilfe?","volume":"9-16","author":"L Schumacher","year":"2019","journal-title":"\u00c4rzte Zeitung"},{"key":"ref3","volume-title":"Kaiserschnittgeburten. 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Eine anwendungsorientierte\n                    Einf\u00fchrung in das Basissystem und das Modul Exakte Tests","author":"J Janssen","year":"2017"}],"container-title":["Das Gesundheitswesen"],"original-title":[],"language":"de","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/a-1531-4998.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T23:17:01Z","timestamp":1664579821000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/a-1531-4998"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":15,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,9,30]]},"published-print":{"date-parts":[[2022,10]]}},"URL":"https:\/\/doi.org\/10.1055\/a-1531-4998","archive":["Portico","CLOCKSS"],"relation":{},"ISSN":["0941-3790","1439-4421"],"issn-type":[{"value":"0941-3790","type":"print"},{"value":"1439-4421","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,24]]}}}