The impact of migration background on maternal near miss.

David M, Razum O, Henrich W, Ramsauer B, Schlembach D, Breckenkamp J (2019)
Archives of gynecology and obstetrics 300(2): 285-292.

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
David, Matthias; Razum, OliverUniBi; Henrich, Wolfgang; Ramsauer, Babett; Schlembach, Dietmar; Breckenkamp, JürgenUniBi
Abstract / Bemerkung
PURPOSE: (1) To evaluate the association between immigration background and the occurrence of maternal near miss (MNM). (2) To identify medical co-factors, health-care utilization, and health-care disparities as explanations of a possibly higher risk of MNM among immigrants.; METHODS: We compared perinatal outcomes between immigrant women (first- or second-generation) versus non-immigrant women, delivering at three maternity hospitals in Berlin, Germany, 2011-2012. Near-miss events were defined as: HELLP syndrome, eclampsia, the occurrence or threat of uterine rupture, postpartum hemorrhage (PPH)>1000ml, sepsis, peripartal hysterectomy, cardiovascular complications, lung embolism. Logistic regression analyses were performed to determine the associations of immigration status, acculturation, and language competency with near-miss events, and of near-miss events with the perinatal outcomes.; RESULTS: The databank included 2647 first-generation immigrants, 889 second-generation immigrants, and 3231 women without an immigration background (total N=6767). Near-miss events occurred in 141 women. The likelihood of near-miss events was lower among multiparous women (OR 0.6; 95% CI 0.42-0.87; p=0.01). No other factors had a statistically significant influence. Near-miss events are associated with an elevated likelihood for an unfavorable perinatal condition: the ORs ranged from 2.15 for an arterial umbilical cord pH value<7.1-2.47 for premature delivery.; CONCLUSIONS: Immigration status does not change the risk of near-miss events. Besides parity, no medical or socio-demographic factors were identified that were associated with an elevated likelihood for the occurrence of severe peripartal complications.
Erscheinungsjahr
2019
Zeitschriftentitel
Archives of gynecology and obstetrics
Band
300
Ausgabe
2
Seite(n)
285-292
ISSN
0932-0067
eISSN
1432-0711
Page URI
https://pub.uni-bielefeld.de/record/2935648

Zitieren

David M, Razum O, Henrich W, Ramsauer B, Schlembach D, Breckenkamp J. The impact of migration background on maternal near miss. Archives of gynecology and obstetrics. 2019;300(2):285-292.
David, M., Razum, O., Henrich, W., Ramsauer, B., Schlembach, D., & Breckenkamp, J. (2019). The impact of migration background on maternal near miss. Archives of gynecology and obstetrics, 300(2), 285-292. doi:10.1007/s00404-019-05179-9
David, Matthias, Razum, Oliver, Henrich, Wolfgang, Ramsauer, Babett, Schlembach, Dietmar, and Breckenkamp, Jürgen. 2019. “The impact of migration background on maternal near miss.”. Archives of gynecology and obstetrics 300 (2): 285-292.
David, M., Razum, O., Henrich, W., Ramsauer, B., Schlembach, D., and Breckenkamp, J. (2019). The impact of migration background on maternal near miss. Archives of gynecology and obstetrics 300, 285-292.
David, M., et al., 2019. The impact of migration background on maternal near miss. Archives of gynecology and obstetrics, 300(2), p 285-292.
M. David, et al., “The impact of migration background on maternal near miss.”, Archives of gynecology and obstetrics, vol. 300, 2019, pp. 285-292.
David, M., Razum, O., Henrich, W., Ramsauer, B., Schlembach, D., Breckenkamp, J.: The impact of migration background on maternal near miss. Archives of gynecology and obstetrics. 300, 285-292 (2019).
David, Matthias, Razum, Oliver, Henrich, Wolfgang, Ramsauer, Babett, Schlembach, Dietmar, and Breckenkamp, Jürgen. “The impact of migration background on maternal near miss.”. Archives of gynecology and obstetrics 300.2 (2019): 285-292.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 31076854
PubMed | Europe PMC

Suchen in

Google Scholar