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Indexed/Abstracted in: EMBASE, PubMed/MEDLINE, Scopus, Emerging Sources Citation Index
Online ISSN 1827-1650
Maneschi F. 1, 2, Algieri M. 1, Perrone S. 2, Nale R. 1, Sarno M. 1
1 Division of Obstetrics and Gynecology, Santa Maria Goretti Hospital, Latina, Italy;
2 Department of Gynecology and Obstetrics, “Sapienza” University, Rome, Italy
AIM: Aim of the present study was to evaluate 10-group Robson classification for delivery ward clinical management.
METHODS: To evaluate cesarean section (C-section) rate following the implementation firstly of recommendations, and then of 10-group reporting and medical audit, a retrospective cohort study was performed including all women who gave birth in the years 2001, 2006 and 2010. Data were analyzed by means of 10-group classification.
RESULTS: C-section rate was 27.5% in 2001, 31.1% in 2006, and 30.5% in 2010. Ten-group analysis showed that from 2001 to 2006 group 1-2 size increased from 27.6% to 42.5% (P<0.01), and contribution to the overall cesarean rate from 22.3% to 29.9% (P<0.01), whereas the group 1 C-section sub-rate was reduced from 19.6% to 13.5% (P<0.05). Previous cesarean increased from 9.2% to 11.6% (P<0.05). Delivery ward 10-group monitoring showed that from January to May 2010 the C-section rate was consistently above 30%. The audit was started and the causes were analyzed. Subsequently, C-section rate dropped to the actual 30.5%.
CONCLUSION: Ten-group analysis showed that the 2006 cesarean rate increase was related to a significant shift in obstetric population toward groups 5 to 9 at higher risk of C-section, whereas after recommendation implementation a significant reduction of C-section subrates was observed in groups 1, 2a, 3, 4a, and 10 which represented more than 80% of the hospital population. In 2010, 10-group monitoring of the cesarean subrates stabilized the C-section rate. Ten-group analysis should be implemented in clinical practice to control delivery ward clinical management. It only requires the involvement of a clinical manager and of a midwife for data collection