Policy brief

How to learn from your maternity data ? Outputs for decision-making

How to learn from your maternity data<small class="fine d-inline"> </small>? Outputs for decision-making


Increased use of non-clinically indicated caesarean section is challenging quality of care in maternity services.
The Robson Ten Group Classification System has proved to be useful for institutional monitoring and auditing and for the evaluation of trends and determinants of caesarean section use in healthcare facilities. You can transform your data into knowledge and improve the quality of the care provided by applying this classification. The use of this classification requires minimum effort and resources because it uses data collected routinely.
This policy brief is for decision-makers in order to support the use of routinely collected data to apply the Robson Ten Group Classification System (TGCS) for monitoring caesarean section trends in maternity services.

Read the policy brief

Document associé