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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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...
Clinical Trials: Overview01:11

Clinical Trials: Overview

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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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, controlled...
Preclinical Development: Overview01:28

Preclinical Development: Overview

Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Bioequivalence studies: Biowaivers01:13

Bioequivalence studies: Biowaivers

In certain scenarios, in vitro dissolution tests can replace in vivo bioequivalence studies. This is particularly true when a drug product, though available in varying strengths, maintains proportional similarity in its active and inactive ingredients. In such cases, the need for in vivo bioequivalence studies for lower strength variants may be waived, provided dissolution tests and in vivo studies on the highest strength yield satisfactory results.Bioequivalence can be indicated through...

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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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Imputing productivity gains from clinical trials.

Michael J Cangelosi1, Sarah Bliss, Hong Chang

  • 1Center for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, MA, USA.

Journal of Occupational and Environmental Medicine
|July 17, 2012
PubMed
Summary
This summary is machine-generated.

This study estimates productivity gains from musculoskeletal medications and antidepressants. Productivity improvements could significantly impact the economic value of these therapies.

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Area of Science:

  • Health Economics
  • Pharmacoeconomics
  • Clinical Trial Analysis

Background:

  • Employers and payers seek to understand productivity impacts of therapies.
  • Many clinical trials do not directly measure productivity outcomes.
  • This gap limits comprehensive cost-effectiveness analyses.

Purpose of the Study:

  • To estimate productivity gains associated with musculoskeletal pain medications and antidepressants.
  • To impute productivity impact using clinical data from trials lacking direct productivity measures.

Main Methods:

  • A systematic PubMed search identified 25 relevant clinical trials.
  • Regression coefficients were applied to clinical outcomes data.
  • Work Limitations Questionnaire (WLQ) Productivity Loss scores were estimated.

Main Results:

  • Median productivity gains were estimated at approximately 0.5% for musculoskeletal medications.
  • Median productivity gains were estimated at approximately 1.0% for antidepressants.
  • These gains were derived via imputation from clinical trial data.

Conclusions:

  • Incorporating productivity gains (WLQ) can significantly alter cost-effectiveness findings.
  • This methodology enhances the economic evaluation of therapeutic interventions.
  • Accurate productivity assessment is crucial for health economic literature.