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Related Concept Videos

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
926
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

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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...
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
345
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

86
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
86
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

311
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
311
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

744
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Defining and implementing a model for pharmacy resident research projects.

Travis B Dick1, Krystal L Moorman2, Elyse A MacDonald3

  • 1Solid Organ Transplant Clinical Pharmacy Specialist, Department of Pharmacy, Intermountain Medical Center. Murray, UT, ( United States ). travis.dick@imail.org.

Pharmacy Practice
|October 8, 2015
PubMed
Summary
This summary is machine-generated.

Pharmacy residents can successfully identify their own research projects with a structured support system. This approach fosters project ownership and positive outcomes in residency research.

Keywords:
EducationGraduatePharmacyPharmacy ResidenciesResearchSpecializationUnited States

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Area of Science:

  • Pharmacy Practice
  • Residency Education
  • Research Methodology

Background:

  • Pharmacy residencies require research projects, but traditional methods of project assignment can be suboptimal.
  • A structured approach is needed to support residents in developing their own research ideas.

Purpose of the Study:

  • To outline a standardized framework for supporting pharmacy residents in self-selecting their research projects.
  • To evaluate the feasibility and effectiveness of resident-driven research project identification.

Main Methods:

  • Formation of a dedicated subcommittee within the residency advisory committee.
  • Development and distribution of comprehensive research guidelines, including timelines and resources.
  • Emphasis on early project conceptualization and institutional review board (IRB) protocol submission.

Main Results:

  • 94% of residents successfully identified their own research questions within the program.
  • All participating residents submitted IRB protocols by the designated deadline.
  • Positive resident feedback and early successes in national presentations and publications were noted.

Conclusions:

  • Empowering pharmacy residents to choose their own research projects is a viable and effective strategy.
  • This self-directed approach enhances resident engagement and research productivity.