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Related Concept Videos

Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

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Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
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Pharmacokinetic Models: Overview01:20

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

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Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
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Three-Compartment Open Model01:06

Three-Compartment Open Model

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The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
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Drug Therapy01:28

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The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
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Assessment of different intervention models to decrease no-show rates of embedded pharmacy visits.

Lyric Chaplin1, Patrick Gregory1, Benjamin Smith1

  • 1PGY-2 Ambulatory Care Pharmacy Resident.

Journal of the American Pharmacists Association : Japha
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

Two interventions aimed to reduce patient no-shows for clinical pharmacist appointments. While numerically lower no-show rates were observed, the differences were not statistically significant, requiring further study.

Keywords:
embedded pharmacy visitsno-show ratespatient portal messagevirtual visit conversion

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Area of Science:

  • Health Services Research
  • Clinical Pharmacy Practice
  • Patient Access to Care

Background:

  • Clinical pharmacist practitioners (CPPs) are integrated into Duke Primary Care (DPC) clinics, managing medications and labs under physician supervision.
  • Patient no-shows for CPP appointments incur significant costs for DPC clinics.
  • Understanding and mitigating patient no-shows is crucial for clinic efficiency and patient care.

Purpose of the Study:

  • To evaluate the impact of two interventions on patient no-show rates for embedded clinical pharmacist practitioner appointments.
  • To identify potential patient-related barriers contributing to missed appointments.

Main Methods:

  • A single-center, prospective intervention study was conducted from September to November 2023.
  • Interventions included sending patient portal reminders and converting late in-person visits to virtual appointments.
  • No-show rates were compared to a control group from the previous year using a chi-square test.

Main Results:

  • A total of 1645 appointments were analyzed.
  • No-show rates were 20.4% (control), 18.0% (reminder), and 15.7% (virtual conversion).
  • Intervention groups showed numerically lower daily financial losses due to no-shows compared to the control.

Conclusions:

  • Both interventions resulted in numerically lower no-show rates, but the reductions were not statistically significant.
  • Specific patient barriers associated with no-shows could not be identified.
  • Further research is needed to assess the impact and long-term feasibility of these interventions in clinic workflows.