Related Experiment Video
Updated: Feb 7, 2026

03:53
Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
Published on: March 15, 2024
2.9K
Enhancing the Implementation of a high-quality randomized trial in pregnancy
Mariam Assaad1, Ghada El-Hajj Fuleihan1, Anwar Nassar1
1American University of Beirut Medical Center.
Research Square
|February 6, 2026
Summary
Conducting clinical trials in pregnant women, especially for vitamin D supplementation, presents challenges. Participant-centered strategies are key to improving adherence, reducing bias, and enhancing the validity of trial results.
Area of Science:
- Obstetrics and Gynecology
- Clinical Trials Methodology
- Nutritional Science
Background:
- Pregnancy-related health issues necessitate clinical trials, but conducting them in pregnant populations is challenging.
- Hypovitaminosis D is prevalent in pregnant women, particularly in the Middle East and North Africa (MENA) region.
- Vitamin D supplementation is a potential therapeutic strategy, but its efficacy in pregnancy requires robust clinical trial data.
Purpose of the Study:
- To describe the experience of conducting a randomized controlled trial (RCT) on vitamin D supplementation in pregnant women in Lebanon.
- To outline challenges encountered during trial implementation and strategies employed to overcome them.
- To detail methods used to ensure the internal and external validity of the trial.
Main Methods:
- A double-blind randomized controlled trial (RCT) involving pregnant women from two centers in Lebanon.
- Descriptive data analysis of trial implementation, including recruitment, adherence, and dropout rates.
- Strategies to enhance external validity (e.g., diverse recruitment) and internal validity (e.g., randomization, standardized assessments, risk-of-bias evaluation).
Main Results:
- Sixty percent of screened pregnant women enrolled, with high adherence (>90%) to the intervention.
- Major challenges included recruitment difficulties (35% declined) and differential dropout rates between centers (12% vs. 7%).
- Barriers also included low acceptability of neonatal bone mass scans and variability in fetal measurements.
Conclusions:
- Clinical trials in pregnancy demand culturally sensitive recruitment, strong physician engagement, and robust participant relationships.
- Participant-centered approaches are crucial for improving adherence, minimizing bias, and strengthening both internal and external validity.
- Effective strategies are essential for successful RCTs in pregnant populations, particularly concerning vitamin D supplementation.
More Related Videos
Related Concept Videos
Nursing Implementation
6.2K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
6.2K
Clinical Trials: Overview
5.0K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
5.0K
Trial and Error and Algorithm
424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
Clinical Trials
10.8K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
10.8K
Random Error
9.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K
Random Variables
17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K

