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Related Concept Videos

Nonlinear Pharmacokinetics: Dependence of Elimination Half-Life and Dose Clearance01:23

Nonlinear Pharmacokinetics: Dependence of Elimination Half-Life and Dose Clearance

The elimination half-life and drug clearance of drugs following nonlinear kinetics can vary with dosage. The Michaelis-Menten parameters and drug concentration influence these factors. As the dose increases, the elimination half-life tends to lengthen, resulting in a reduction in clearance and a disproportionately larger area under the curve. The total clearance can be derived from the Michaelis-Menten equation for drugs following a one-compartment model.
A study on guinea pigs examined the...
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
Bioavailability Study Design: Absolute Versus Relative Bioavailability01:27

Bioavailability Study Design: Absolute Versus Relative Bioavailability

Bioavailability is a crucial pharmacokinetic parameter that quantifies the proportion of an administered drug that reaches the systemic circulation and is available for therapeutic action. Regulatory agencies mandate the assessment of bioavailability, typically measured as the area under the drug plasma concentration-versus-time curve (AUC), to ensure the efficacy and safety of pharmaceutical products. These evaluations are categorized as absolute and relative bioavailability studies.Absolute...
Bioavailability Study Design: Single Versus Multiple Dose Studies01:11

Bioavailability Study Design: Single Versus Multiple Dose Studies

Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...

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Related Experiment Video

Updated: Jun 2, 2026

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
07:02

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

Estimation of resource utilisation difference between lithium and valproate treatment groups from the VALID study.

Shu Chuen Li1, Sanjay Kumar Aggarwal

  • 1School of Biomedical Science and Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia. Shuchuen.li@newcastle.edu.au

Journal of Medical Economics
|May 6, 2011
PubMed
Summary

Valproate treatment for bipolar disorder resulted in significant healthcare cost savings compared to lithium. This economic evaluation found valproate to be a more cost-effective option, reducing financial burdens for patients and the healthcare system.

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Last Updated: Jun 2, 2026

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
07:02

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

Area of Science:

  • Pharmacoeconomics
  • Psychiatry
  • Health Economics

Background:

  • Bipolar I disorder is a chronic mental health condition requiring long-term management.
  • Lithium and valproate are established treatments for bipolar disorder, but their economic impact differs.
  • Resource utilization and associated costs are critical factors in treatment selection.

Purpose of the Study:

  • To compare the healthcare resource utilization between lithium and valproate in patients with bipolar I disorder.
  • To evaluate the economic implications of using valproate versus lithium from a healthcare system perspective.

Main Methods:

  • A modeled economic study was conducted alongside the international, randomized, open-label VALID study.
  • Health resource utilization data were collected via standardized questionnaires from patients in both treatment groups.
  • Cost analysis was performed based on differences in hospital visits, outpatient visits, and work days lost.

Main Results:

  • Efficacy and tolerability of valproate and lithium were comparable.
  • The valproate group showed lower utilization of hospital visits, outpatient visits, and fewer work days lost.
  • Modelled analysis estimated total cost savings of US$199,322, translating to US$1444 per patient or US$6278 per patient per year with valproate.

Conclusions:

  • Valproate use is associated with substantial cost savings for the healthcare system compared to lithium.
  • Choosing valproate over lithium can reduce the financial burden on patients and healthcare providers.
  • Economic considerations should be integrated into treatment decisions for bipolar disorder.