Evaluation of the learning curve for external cephalic version using cumulative sum analysis
Obstetrics & Gynecology Science
; : 343-349, 2017.
Article
em En
| WPRIM
| ID: wpr-46653
Biblioteca responsável:
WPRO
ABSTRACT
OBJECTIVE:
We evaluated the learning curve for external cephalic version (ECV) using learning curve-cumulative sum (LC-CUSUM) analysis.METHODS:
This was a retrospective study involving 290 consecutive cases between October 2013 and March 2017. We evaluated the learning curve for ECV on nulli and over para 1 group using LC-CUSUM analysis on the assumption that 50% and 70% of ECV procedures succeeded by description a trend-line of quadratic function with reliable R² values.RESULTS:
The overall success rate for ECV was 64.8% (188/290), while the success rate for nullipara and over para 1 groups was 56.2% (100/178) and 78.6% (88/112), respectively. ‘H’ value, that the actual failure rate does not differ from the acceptable failure rate, was −3.27 and −1.635 when considering ECV success rates of 50% and 70%, respectively. Consequently, in order to obtain a consistent 50% success rate, we would require 57 nullipara cases, and in order to obtain a consistent 70% success rate, we would require 130 nullipara cases. In contrast, 8 to 10 over para 1 cases would be required for an expected success rate of 50% and 70% on over para 1 group.CONCLUSION:
Even a relatively inexperienced physician can experience success with multipara and after accumulating experience, they will manage nullipara cases. Further research is required for LC-CUSUM involving several practitioners instead of a single practitioner. This will lead to the gradual implementation of standard learning curve guidelines for ECV.Palavras-chave
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Índice:
WPRIM
Assunto principal:
Versão Fetal
/
Apresentação Pélvica
/
Estudos Retrospectivos
/
Curva de Aprendizado
/
Líquido Amniótico
/
Aprendizagem
Tipo de estudo:
Observational_studies
Limite:
Pregnancy
Idioma:
En
Revista:
Obstetrics & Gynecology Science
Ano de publicação:
2017
Tipo de documento:
Article