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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.
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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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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Related Experiment Video

Updated: Jun 17, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Identifying Medicine Shortages With the Twitter Social Network: Retrospective Observational Study.

Doerine J Postma1,2, Magali L A Heijkoop1, Peter A G M De Smet3

  • 1Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, Netherlands.

Journal of Medical Internet Research
|August 6, 2024
PubMed
Summary

Twitter is not a reliable early warning system for medicine shortages. While social media can highlight patient experiences, it often shares information already known, rather than providing novel insights into drug availability.

Keywords:
TwitterTwitter social networkdrug shortagemedicine shortagessignal detectionsocial media

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Area of Science:

  • Pharmacovigilance
  • Digital Health
  • Social Media Analytics

Background:

  • Early identification of medicine shortages is crucial for patient care.
  • Social media platforms are emerging as sources for health-related data.
  • The potential of social media for real-time health monitoring requires investigation.

Purpose of the Study:

  • To determine if routine Twitter data analysis can detect medicine shortage signals.
  • To assess Twitter's utility as an early warning system for drug shortages.
  • To identify specific medicines or patient groups for which Twitter may be effective.

Main Methods:

  • Collected data on medicine shortages from the KNMP Farmanco catalog (Jan-Dec 2019).
  • Searched Twitter for posts related to these shortages using medicine names and keywords.
  • Analyzed the timing, content, and source of relevant Twitter posts compared to catalog data.

Main Results:

  • 102 of 341 (29.9%) medicine shortages were mentioned on Twitter.
  • Only 4 (1.2%) shortages were mentioned >14 days before catalog publication.
  • Twitter posts often lagged behind official reports (median delay of 37 days); patient experiences were common.

Conclusions:

  • Twitter is not a suitable early warning system for medicine shortages.
  • The platform primarily reflects existing information rather than providing new alerts.
  • Social media offers potential for qualitative research on patient impact during shortages.