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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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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...
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Clinical Trials: Overview01:11

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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...
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Randomized Experiments01:13

Randomized Experiments

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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
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Crossover Experiments01:16

Crossover Experiments

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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
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Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

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Body: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...
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Co-producing Randomized Controlled Trials: How Do We Work Together?

Lucy Pollyanna Goldsmith1, Rosaleen Morshead1, Charlotte McWilliam1

  • 1Population Health Research Institute, St George's, University of London, London, United Kingdom.

Frontiers in Sociology
|April 19, 2021
PubMed
Summary
This summary is machine-generated.

Co-producing quantitative research, like randomized controlled trials, presents unique challenges. This study details solutions for successful co-production in mental health research, emphasizing supported dialogue and clear decision-making processes.

Keywords:
coproductionmethodology and methods of sociological researchpeer support (PS)quantitative research approachesrandomized controlled trial (RCT)reflective practice

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Area of Science:

  • Mental Health Research
  • Quantitative Research Methods
  • Co-production in Healthcare

Background:

  • Growing interest in "nothing about us without us" principles and co-production in research.
  • Established principles exist for co-production and involvement, with successful application in qualitative mental health research.
  • Need for high-quality quantitative research, including randomized controlled trials, to influence UK treatment guidelines and service commissioning.

Purpose of the Study:

  • To describe the challenges and solutions encountered in designing and delivering a coproduced randomized controlled trial (RCT) for mental health peer support.
  • To make learning accessible for those developing co-production in mental health research, particularly within quantitative methodologies.

Main Methods:

  • Designing and delivering a coproduced randomized controlled trial (RCT) in mental health peer support.
  • Identifying and defining which methodological and practical decisions could be coproduced, by whom, and how.
  • Creating and maintaining a supportive environment for dialogue, reflection, and the necessary culture for co-production.

Main Results:

  • Significant challenges were identified and addressed in the co-production of a rigorous quantitative study (RCT).
  • Clear delineation of coproduced elements, participants, and processes was crucial for managing methodological rigidity.
  • Sustained effort in fostering a supportive environment facilitated ongoing co-production as the project and team evolved.

Conclusions:

  • Co-producing rigorous quantitative research, such as RCTs, is feasible but requires careful planning and adaptation.
  • Establishing clear frameworks for decision-making and maintaining a supportive culture are vital for successful co-production in complex research.
  • This work offers practical insights for advancing co-production in mental health research, bridging qualitative and quantitative approaches.