Related Experiment Video
Updated: Oct 15, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Methodological challenges and solution strategies during implementation of a midwife-led multicenter randomized
Sabine Striebich1, Elke Mattern2, Theresa Oganowski2
1Martin Luther University Halle-Wittenberg, Institute of Health and Nursing Science, Magdeburger Str. 8, 06112, Halle (Saale), Germany. sabine.striebich@medizin.uni-halle.de.
Background:
Randomized controlled trials (RCTs), especially multicentric, with complex interventions are methodically challenging. Careful planning under everyday conditions in compliance with the relevant international quality standard (Good Clinical Practice [GCP] guideline) is crucial. Specific challenges exist for RCTs conducted in delivery rooms due to various factors that cannot be planned beforehand. Few published RCTs report challenges and problems in implementing complex interventions in maternity wards. In Germany as well as in other countries, midwives and obstetricians have frequently little experience as investigators in clinical trials.
Methods:
The aim is to describe the key methodological and organizational challenges in conducting a multicenter study in maternity wards and the solution strategies applied to them. In particular, project-related and process-oriented challenges for hospital staff are considered. The exemplarily presented randomized controlled trial "BE-UP" investigates the effectiveness of an alternative design of a birthing room on the rate of vaginal births and women-specific outcomes.
Results:
The results are presented in five sectors: 1) Selection of and support for cooperating hospitals: they are to be selected according to predefined criteria, and strategies to offer continuous support in trial implementation must be mapped out. 2) Establishing a process of requesting informed consent: a quality-assured process to inform pregnant women early on must be feasible and effective. 3) Individual digital real-time randomization: In addition to instructing maternity teams, appropriate measures for technical failure must be provided. 4) The standardized birthing room: The complex intervention is to be implemented according to the study protocol yet adapted to the prevailing conditions in the delivery rooms. 5) GCP-compliant documentation: midwives and obstetricians will be instructed in high-quality data collection, supported by external monitoring throughout the trial.
Conclusion:
Since not all potential challenges can be anticipated in the planning of a trial, study teams need to be flexible and react promptly to any problems that threaten recruitment or the implementation of the complex intervention. Thought should be given to the perspectives of midwives and obstetricians as recruiters and how clinic-intern processes could be adapted to correspond with the trial's requirements.
Trial Registration:
The BE-UP study was registered on 07/03/ 2018 in the German Register for Clinical Trials under Reference No. DRKS00012854 and can also be found on the International Clinical Trials Registry Platform (ICTRP) (see https://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS0001285 ).
More Related Videos
07:11Assessment of the Efficacy of An Osteopathic Treatment in Infants with Biomechanical Impairments to Suckling
Published on: February 5, 2019
04:53A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Bias in Epidemiological Studies
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Randomized Experiments
Simple randomization
Simple...