Literature DB >> 10368473

Effects of obstetrician characteristics on cesarean delivery rates. A community hospital experience.

P A Poma1.   

Abstract

OBJECTIVE: Despite a decrease in the overall cesarean delivery rate at Ravenswood Hospital Medical Center in Chicago, a wide range of variation existed among individual obstetricians' rates. This study evaluated obstetricians' characteristics to determine whether they affected cesarean delivery rates. STUDY
DESIGN: In 1994 members of my department adopted strategies to decrease the cesarean delivery rate. Data on women who were delivered at the obstetric unit from 1994-1997 and data on their neonates were studied. Certain characteristics of obstetricians were also analyzed. The data were grouped according to personal characteristics and obstetricians' cesarean delivery rates: group 1 had a low rate (</=15%) and group 2 had a high rate (>15%). Pearson chi2 analysis was used to evaluate the differences between the proportions. P <.05 was considered significant.
RESULTS: The departmental cesarean delivery rate decreased from 20.5% in 1994 to 15.5% in 1997 (P <.0001), whereas individual obstetricians' rates varied from 0% to 44.4%. Obstetricians in group 1 (average rate 12.2%) and group 2 (average rate 20.8%, P <.0001) served similar populations with similar outcomes. Compared with obstetricians in group 2, those in group 1 (low rate) performed more vaginal deliveries after cesarean birth and used epidural analgesia and the vacuum extractor more frequently. Young age of physician, graduation from a domestic medical school, group practice, and smaller volume of births were all significantly linked to lower cesarean delivery rates.
CONCLUSIONS: Cesarean delivery rates can safely be reduced. Certain individual obstetrician characteristics influence cesarean delivery rates. Obstetricians' commitment facilitates lowering of cesarean delivery rates.

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Mesh:

Year:  1999        PMID: 10368473     DOI: 10.1016/s0002-9378(99)70021-9

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  6 in total

1.  Machine learning for sub-population assessment: evaluating the C-section rate of different physician practices.

Authors:  Rich Caruana; Radu S Niculescu; R Bharat Rao; Cynthia Simms
Journal:  Proc AMIA Symp       Date:  2002

2.  Patterns of deliveries in a Brazilian birth cohort: almost universal cesarean sections for the better-off.

Authors:  Aluísio J D Barros; Iná S Santos; Alicia Matijasevich; Marlos Rodrigues Domingues; Mariângela Silveira; Fernando C Barros; Cesar G Victora
Journal:  Rev Saude Publica       Date:  2011-06-10       Impact factor: 2.106

3.  Two practice models in one labor and delivery unit: association with cesarean delivery rates.

Authors:  Malini Anand Nijagal; Miriam Kuppermann; Sanae Nakagawa; Yvonne Cheng
Journal:  Am J Obstet Gynecol       Date:  2014-11-13       Impact factor: 8.661

4.  Evaluating the C-section rate of different physician practices: using machine learning to model standard practice.

Authors:  Rich Caruana; Radu S Niculescu; R Bharat Rao; Cynthia Simms
Journal:  AMIA Annu Symp Proc       Date:  2003

5.  Caesarean section in uninsured women in the USA: systematic review and meta-analysis.

Authors:  Ilir Hoxha; Medina Braha; Lamprini Syrogiannouli; David C Goodman; Peter Jüni
Journal:  BMJ Open       Date:  2019-03-03       Impact factor: 2.692

6.  Medical and non-medical reasons for cesarean section delivery in Egypt: a hospital-based retrospective study.

Authors:  Shatha Elnakib; Nahla Abdel-Tawab; Doaa Orbay; Nevine Hassanein
Journal:  BMC Pregnancy Childbirth       Date:  2019-11-08       Impact factor: 3.007

  6 in total

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