- Poster presentation
- Open Access
The thistle study: a stepped-wedge clustered trial of an intrapartum emergencies training package in Scottish maternity units
© Lenguerrand et al; licensee BioMed Central Ltd. 2013
- Published: 29 November 2013
- Linear Mixed Model
- Apgar Score
- Generalize Linear Mixed Model
- Maternity Hospital
- Maternity Unit
The Stepped-Wedge clustered RCT(SW-cRCT) design is often proposed, but less often executed. It appears to offer significant advantages for intervention where on balance the outcome is likely to be beneficial. It pragmatically implements the intervention for all sites, reduces the logistical/financial challenges of implementation at scale, whilst providing a robust framework for the study of effect trends.
This presentation describes the protocol of the Thistle study, a SW-cRCT evaluating the effectiveness of a training aiming to improve perinatal care and outcomes in term babies across Scotland.
This study will be conducted between September 2013 and February 2016 for 12 maternity units, and will have five steps, each step lasting six months. Four units per step will be randomized to the intervention at one of the three possible randomisation steps. Each unit will be followed for a minimum of 12 months to investigate effect trends (between 2 to 4 follow-up steps).
PROMPT, a multiprofessional team training for maternity staff (http://www.promptmaternity.org).
Routinely collected information from the Scottish Morbidity Record(SMR02) submitted by maternity hospitals will be interrogated.
The prevalence of babies born with a low Apgar score will be modelled using generalized linear mixed models to investigate the intervention effect, taking appropriate account of the clustering (babies within maternity units). Secondary analyses will adjust for time intervals (steps modelled as fixed effects) and potential interactions between time and treatment effects.
This presentation aims to provide a methodological insight of a SW-cRCT to share experience about a type of trial design under-used and under-documented.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.