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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...
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Dosage Regimens: Partial Pharmacokinetic Parameters01:01

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It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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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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Pharmaceutical Poisoning: Potential Scenarios01:26

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Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
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Factors Affecting Drug Distribution: Miscellaneous Factors01:19

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Drug distribution in the human body is a complex process influenced by various individual factors, including age, pregnancy, obesity, diet, body water composition, pH levels, and specific disease conditions.
Age plays a significant role due to differences in body composition among different age groups. Infants, for instance, have a higher proportion of total body water and lower albumin levels, a protein that binds drugs in the bloodstream. This unique composition in infants enhances the...
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Factors Affecting Drug Distribution: Organ Perfusion Rate01:15

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Drug distribution within the body is a complex process influenced by several factors, including perfusion rate, the rate at which the bloodstream transports drugs to tissue. This limitation becomes particularly significant when dealing with highly lipophilic drugs. In such cases, the rate at which the drug can move across membranes is crucial, and if the membrane is highly permeable to the drug, distribution becomes rate-limited by perfusion.
Perfusion rate-limited distribution relies on the...
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Pharmacy residency match rates and predictors.

Jacob Morton1, Peter Koval2, Peter Gal2

  • 1Cone Health, Greensboro, North Carolina ; South University School of Pharmacy, Savannah, Georgia.

American Journal of Pharmaceutical Education
|December 28, 2013
PubMed
Summary

Public pharmacy schools and those established longer have higher postgraduate year 1 (PGY1) residency acceptance rates. These factors influence both graduating class and applicant match rates for PGY1 pharmacy residencies.

Keywords:
college of pharmacymatchpredictorsresidency

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Area of Science:

  • Pharmacy Education
  • Residency Matching
  • Higher Education Administration

Background:

  • Postgraduate Year 1 (PGY1) pharmacy residencies are crucial for early career development.
  • Understanding factors influencing PGY1 acceptance rates is vital for pharmacy schools and applicants.
  • Previous research has not comprehensively analyzed institutional characteristics impacting PGY1 match success.

Purpose of the Study:

  • To determine the overall acceptance rates for PGY1 pharmacy residencies.
  • To investigate the influence of institutional type (public vs. private) and age on PGY1 acceptance rates.
  • To identify key variables affecting PGY1 residency match success.

Main Methods:

  • Analysis of residency match data from US colleges and schools of pharmacy (2008-2011).
  • Data categorized by graduating class and applicant match rates into PGY1 programs.
  • Statistical analysis to identify factors influencing PGY1 match rates.

Main Results:

  • Overall PGY1 residency match rate was 14.2%.
  • Public institutions had a higher match rate (16.0%) than private institutions (12.6%).
  • Institutions with over 20 years of history showed a higher match rate (16.7%).

Conclusions:

  • Institutional type (public vs. private) significantly impacts both graduating class and applicant match rates.
  • The number of years since an institution's first graduating class influences applicant match rates.
  • These findings provide insights into factors affecting PGY1 pharmacy residency placement.