Related Experiment Video
Updated: May 4, 2026
13:44
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
3.7K
The face of equipoise--delivering a structured education programme within a randomized controlled trial: qualitative
Helen C Eborall1, Helen M Dallosso, Heather Daly
1Social Science Applied to Healthcare Improvement Research (SAPPHIRE) Group, Department of Health Sciences, University of Leicester, Leicester, UK. hce3@le.ac.uk.
Trials
|January 11, 2014
Summary
Intervention deliverers in diabetes trials can have personal preferences, impacting trial fidelity. Awareness of these preferences and a patient-centered approach help ensure unbiased delivery of behavioral interventions.
Area of Science:
- Behavioral Science
- Clinical Trials
- Diabetes Management
Background:
- Intervention deliverers are crucial for behavioral intervention trial success.
- Little is known about the experiences of these trial personnel.
- This study explores educators' experiences delivering a diabetes self-monitoring intervention.
Purpose of the Study:
- To investigate the views and experiences of educators delivering a structured diabetes education intervention.
- To understand how educators manage personal preferences during a randomized controlled trial (RCT).
Main Methods:
- Focus groups conducted before/after training and at 1 year.
- Semi-structured telephone interviews conducted at 2 years.
- Constant comparative method used for analysis.
Main Results:
- Educators had preferences for intervention variants, impacting equipoise.
- Training increased awareness of preferences and their delivery impact.
- Professionalism, patient-centered care, and protocol flexibility aided unbiased delivery.
Conclusions:
- Intervention deliverers' awareness of personal preferences, not just equipoise, facilitates unbiased delivery.
- Community equipoise, need for evidence, and individual relevance enhance commitment to RCTs.
- Findings offer insights for designing and running similar behavioral intervention trials.
Related Concept Videos
01:20Study Designs in Epidemiology
1.6K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.6K
01:20Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
407
Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
407
01:15Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
419
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
419
01:13Randomized Experiments
6.3K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
6.3K
01:11Blinding
2.9K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
2.9K
01:11Observational Studies
8.9K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.9K