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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

Clinical Trials: Overview

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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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Patient-centered Care01:13

Patient-centered Care

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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

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Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
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A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

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Patient-centered clinical trials.

Shomesh E Chaudhuri1, Martin P Ho2, Telba Irony3

  • 1Laboratory for Financial Engineering, MIT Sloan School of Management, USA; Department of Electrical Engineering and Computer Science, MIT, USA.

Drug Discovery Today
|October 9, 2017
PubMed
Summary
This summary is machine-generated.

Bayesian decision analysis optimizes clinical trial design by including patient preferences. This ensures new therapies balance effectiveness, risk, and patient needs for better public health outcomes.

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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

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Area of Science:

  • Decision Analysis
  • Clinical Trial Design
  • Health Economics

Background:

  • Regulatory approval processes for new therapies traditionally use fixed significance levels (α) and power (1-β).
  • Patient preferences regarding treatment risks, benefits, and access speed are often not formally incorporated into trial design.
  • Optimizing clinical trial parameters can enhance public health by ensuring timely access to beneficial therapies.

Purpose of the Study:

  • To apply Bayesian decision analysis (BDA) to integrate patient preferences into the regulatory approval process for new therapies.
  • To demonstrate how patient preferences can optimize the significance level (α) and power (1-β) of randomized clinical trials (RCTs).
  • To explore how varying patient preferences influence optimal RCT design, including sample size.

Main Methods:

  • Bayesian decision analysis (BDA) framework was employed.
  • Weights for type I and type II errors were derived from patient preferences.
  • Optimization of significance level (α) and power (1-β) was performed to maximize value to patients and public health.
  • RCT design parameters, including sample size, were analyzed under different preference scenarios.

Main Results:

  • Optimal significance levels (α) for weight-loss devices varied: higher than 5% for effective, low-risk treatments and lower than 5% for less effective, riskier treatments.
  • Optimal RCT design, including trial size, is sensitive to patient risk aversion and time-to-access preferences.
  • The medical need of the target population significantly impacts the optimal trial design parameters.

Conclusions:

  • Incorporating patient preferences via BDA allows for tailored optimization of RCTs, moving beyond traditional fixed statistical thresholds.
  • This approach maximizes the net value of new therapies to patients and society by aligning trial design with diverse patient values.
  • Personalized RCT design based on patient preferences can lead to more efficient and effective drug and device regulatory approval processes.