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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

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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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Pharmacokinetic–Pharmacodynamic Relationship: Model Components01:14

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Pharmacokinetic-pharmacodynamic (PK–PD) modeling is essential in drug development and clinical pharmacology. It provides a quantitative framework to predict drug behavior and response over time. This approach integrates pharmacokinetics (PK), which describes the drug's absorption, distribution, metabolism, and excretion, with pharmacodynamics (PD), which characterizes the drug’s biological effects and mechanisms of action.The disposition kinetics of a drug determine its plasma...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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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...
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Analysis of Population Pharmacokinetic Data01:12

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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...
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Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

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The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
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Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
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CPD and KT: Models Used and Opportunities for Synergy.

Joan Sargeant1, Francine Borduas, Anne Sales

  • 1Dr. Sargeant: Director, Research and Evaluation, Continuing Medical Education; Professor Division of Medical Education, Faculty of Medicine, Dalhousie University. Dr. Borduas: Professeur agrégé de Clinique, Directrice-adjointe, Vice-décanat à la pédagogie et au développement professional, secteur DPC, Faculté de médecine, Université Laval. Dr. Sales: Deputy Chief, Veterans Affairs Inpatient Evaluation Center, Department of Veterans Affairs, VA Ann Arbor Healthcare System. Dr. Klein: Assistant Director, CPL, Associate Professor, Family Medicine, University of Alberta. Dr. Lynn: Director, Division of Continuing Professional Development, Faculty of Medicine, University of British Columbia. Ms. Stenerson: Research Director, Continuing Professional Learning, College of Medicine, University of Saskatchewan.

The Journal of Continuing Education in the Health Professions
|December 12, 2017
PubMed
Summary

Continuing professional development (CPD) and knowledge translation (KT) in healthcare are merging. Comparing their models reveals overlaps and shared gaps, offering opportunities for synergy in health research and practice.

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Area of Science:

  • Healthcare professional education
  • Knowledge translation research

Background:

  • Continuing professional development (CPD) and knowledge translation (KT) have historically evolved separately in healthcare.
  • Limited intersection exists between research in these two vital fields.

Purpose of the Study:

  • To compare dominant conceptual models in CPD and KT.
  • To identify similarities, differences, and potential intersections between these fields.
  • To foster greater understanding and appreciation of both CPD and KT.

Main Methods:

  • Comparative analysis of conceptual models.
  • Inclusion of the Knowledge-to-Action (KTA) cycle, CPD curriculum models, and Kirkpatrick model.
  • Evaluation through perspectives of conceptual design, processes, and outcomes.

Main Results:

  • Conceptual models from CPD and KT demonstrate significant overlap.
  • Shared gaps were identified, particularly regarding contextual influences on interventions.
  • Opportunities for synergy between CPD and KT are emerging.

Conclusions:

  • Comparing CPD and KT models highlights commonalities and areas for integration.
  • Addressing contextual factors is crucial for both fields.
  • Synergies can advance healthcare education and practice through integrated approaches.