2016
DOI: 10.1016/j.ajog.2016.07.039
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Hospital delivery volume, severe obstetrical morbidity, and failure to rescue

Abstract: Background In the setting of persistently high risk for maternal mortality and severe obstetric morbidity, little is known about the relationship between hospital delivery volume and maternal outcomes. Objective The objectives of this analysis were (i) to determine maternal risk for severe morbidity during delivery hospitalizations by hospital delivery volume in the United States; and (ii) to characterize, by hospital volume, the risk for mortality in the setting of severe obstetrical morbidity – a concept k… Show more

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Cited by 53 publications
(35 citation statements)
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References 44 publications
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“…28 Using the National Inpatient Survey, Friedman et al found differences in severe maternal morbidity and deaths associated with severe maternal morbidity in both low and high volume hospitals. 29 However, hospital volume explained only a small proportion of the overall hospital-level variation. A study on the same dataset documented increasing risks of severe maternal morbidity over time in hospitals with less than 1000 deliveries a year.…”
Section: Introductionmentioning
confidence: 99%
“…28 Using the National Inpatient Survey, Friedman et al found differences in severe maternal morbidity and deaths associated with severe maternal morbidity in both low and high volume hospitals. 29 However, hospital volume explained only a small proportion of the overall hospital-level variation. A study on the same dataset documented increasing risks of severe maternal morbidity over time in hospitals with less than 1000 deliveries a year.…”
Section: Introductionmentioning
confidence: 99%
“…Von insgesamt 6.464 Treffern der Literaturrecherche wurden nach einem mehrstufigen Auswahlprozess schließlich 11 relevante Artikel zur Forschungsfrage identifiziert und analysiert. Die eingeschlossenen Studien stammen aus Finnland (Karalis et al 2016;Pyykönen et al 2014;Hemminki et al 2011) den USA (Friedman et al 2016;Snowden et al 2012), Deutschland (Heller et al 2002;Heller et al 2003), Australien (Tracy et al 2006), Norwegen (Moster et al 2001), Großbritannien (Joyce et al 2004) und Schweden (Finnström et al 2006). Die Daten sind zumeist nationalen Geburtsregistern entnommen.…”
Section: Ergebnisseunclassified
“…Da die Publikationen unterschiedliche Ergebnisse berichten, werden sie im Folgenden dennoch separat betrachtet. Eine der beiden Studien aus den USA nutzte Daten einer Institution für Forschung und Qualität im Gesundheitssektor (Friedman et al 2016). Die Studien der nordischen Länder und die australische Studie beziehen jeweils landesweite Daten der nationalen Geburtsregister ein, mit Selektierungen bezüglich des Ausschlusses von Mehrlingsgeburten (Finnström et al 2006), Risikogeburten (Karalis et al 2016) und nicht termingerechten Geburten bzw.…”
Section: Ergebnisseunclassified
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“…The potential bias can be assessed by comparing the modified NIEs to the original NIEs, since the unmediated TEs obtained from the models of exposure on outcome are not confounded. [44] 3. RESULTS…”
Section: Model Assumptionsmentioning
confidence: 99%