Indonesian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Maternal-Fetal and Neonatal Medicine 2003-Mar

Application of learning theory to obstetric maloccurrence.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
S P Chauhan
E F Magann
C B McAninch
R B Gherman
J C Morrison

Kata kunci

Abstrak

The average fellow of the American College of Obstetricians and Gynecologists performs approximately 140 deliveries per year. Based on this estimation and the established prevalence of three commonly litigated maloccurrences, we calculated the number of years of clinical experience required to encounter one case. Permanent brachial plexus palsy complicates only 1 per 4553 deliveries so a clinician would encounter such a case in 33 years of practice. For every 6667 deliveries, there is a case of cerebral palsy attributable to intrapartum hypoxia, so a practioner would see only one case every 48 years. Since the rate of asphyxia with uterine rupture is 1 per 2819 vaginal births after Cesarean section and the average provider performs seven vaginal births after Cesarean deliveries per year, a clinician would have a case in 403 years of practice. Adverse outcomes expressed as an absolute percentage or as the number of cases per number of deliveries are statistically accurate. Expression of these maloccurrences in terms of the number of years of clinical experience permits the generation of a clinically relevant data point and also allows insight into why their prevalence has not decreased.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge