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Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
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Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

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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.
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Therapeutic Drug Monitoring: Overview and Classification01:16

Therapeutic Drug Monitoring: Overview and Classification

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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
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Therapeutic Drug Monitoring: Drug Analysis Methods01:26

Therapeutic Drug Monitoring: Drug Analysis Methods

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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
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Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

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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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Drug Dosing: Geriatric Patients01:15

Drug Dosing: Geriatric Patients

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Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
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Patient Participation in Monitoring Potential Adverse Drug Events.

Kerstin Jorsäter Blomgren1, Johan Fastbom2

  • 1School of Health, Care and Social Welfare, Mälardalen University, Eskilstuna, Sweden.

Applied Clinical Informatics
|November 14, 2025
PubMed
Summary
This summary is machine-generated.

Patient participation in healthcare using a patient-centered clinical decision support system (PCDSS) aids in early detection of adverse drug events (ADEs). This technology promotes safer medication management for older adults by enabling timely intervention and treatment adjustments.

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Area of Science:

  • Geriatric Medicine
  • Health Informatics
  • Pharmacovigilance

Background:

  • Clinical decision support systems (CDSS) show promise in preventing drug-related issues.
  • Patient participation systems for self-reported symptoms are underrepresented in research.
  • Adverse drug events (ADEs) pose a significant risk, particularly in older adults.

Purpose of the Study:

  • To evaluate if a patient-centered CDSS (PCDSS) improves early ADE detection in older adults.
  • To assess the impact of PCDSS on medication safety and treatment outcomes.
  • To explore patient engagement in monitoring their own drug therapy.

Main Methods:

  • A 1-year prospective observational study involving elderly patients using a web-based PCDSS.
  • Patients self-reported symptoms via free text and predefined options.
  • The PCDSS generated alerts for persistent symptoms, prompting healthcare contact.

Main Results:

  • 48 participants registered 1,275 symptoms; 171 PCDSS signals were generated.
  • 44% of signals led to healthcare center activities, including physician contacts.
  • These interactions resulted in medication reviews and adjustments for a significant portion of participants.

Conclusions:

  • Patient self-reporting via PCDSS can enhance medication safety.
  • PCDSS facilitates early identification of potential adverse drug events.
  • Integrating patient-reported data into clinical support systems improves geriatric pharmacovigilance.