ArticleLaboratory animal research2025
The status of postapproval monitoring operation by the Institutional Animal Care and Use Committee in Korea.
Article in Laboratory animal research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundPostapproval monitoring (PAM) is a critical component of Institutional Animal Care and Use Committee (IACUC) oversight, ensuring compliance with approved protocols and ethical animal research practices. While the PAM is not explicitly mandated under U.S. federal regulations, it has been widely recognized as an essential mechanism for verifying adherence to animal welfare standards. In contrast, Korea has formally integrated the PAM into its legal framework, making it a mandatory function of IACUCs.
resultsThis study examines the implementation and perception of the PAM in Korean institutions through a survey of relevant professionals. These findings indicate that while awareness of the PAM is high, challenges such as limited manpower and institutional support hinder its effective execution. Additionally, the pandemic highlighted the potential for online remote monitoring as a supplemental method, although concerns remain regarding its effectiveness in assessing real-time animal welfare conditions. The study suggests that a hybrid PAM model, that combines onsite and remote monitoring, could improve oversight efficiency while addressing resource constraints. Strengthening administrative support, increasing professional staffing, and enhancing researcher training are crucial steps for optimizing PAM operations in Korea.
conclusionsThese insights contribute to the broader discourse on the evolution of animal research oversight and the need for adaptable monitoring strategies in diverse regulatory environments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.