In a large scale evaluation comprising 44 mostly nonacademic urological departments in Bavaria, unique real-world data for transurethral prostate resection were prospectively generated. This most contemporary information should be of use to potential patients and facilitate subsumption of emerging surgical and nonsurgical benign prostatic hyperplasia treatment options.

Open prostatectomy showed a satisfactory early postoperative outcome with a complication rate that was within the expected range compared to that in the recent literature. It represents an important option in the treatment of patients with significant benign enlargement of the prostate for surgeons with no access to modern techniques, such as holmium laser enucleation of the prostate or laparoscopy.

ObjectiveTo generate a global reference for caesarean section (CS) rates at health facilities.DesignCross‐sectional study.SettingHealth facilities from 43 countries.Population/SampleThirty eight thousand three hundred and twenty‐four women giving birth from 22 countries for model building and 10 045 875 women giving birth from 43 countries for model testing.MethodsWe hypothesised that mathematical models could determine the relationship between clinical‐obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three‐step approach to generate the global benchmark of CS rates at health facilities: creation of a multi‐country reference population, building mathematical models, and testing these models.Main outcome measuresArea under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate.ResultsAccording to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C‐Model, with summary estimates ranging from 0.832 to 0.844. The C‐Model was able to generate expected CS rates adjusted for the case‐mix of the obstetric population. We have also prepared an e‐calculator to facilitate use of C‐Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/).ConclusionsThis article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C‐Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS.Tweetable abstractThe C‐Model provides a customized benchmark for caesarean section rates in health facilities and systems.

Considerably wider optimal GWG ranges than recommended by the Institute of Medicine might be tolerated with respect to avoidance of adverse birth weight outcome. Stratification by maternal body mass index category alone might not be sufficient.

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