Medical big data is accumulated numerous medical related data day by day. These data may have tips for new approach for drug development. Authors tried to find drug-development-needs in children using medical big data analysis with prescription survey. Medical big data were provided from JMDC (Japan Medical Data Centre) Inc. about 3 million participants between January 2005 and June 2017. In these, we identified randomly identified 22787 participants from 466701 participants who are aged ≤11 years. In these participants, 9644 were administered"capsule,""tablet,""orally distegrating tablet,""controlled release tablet/capsule"or"enteric coated tablet"formula drugs. In these, 514 were administered these as powderization or decapsulation. Sixty components administered in 145 participants (28.2%) are not marketed for pediatric formula. On the other hands, 92 components administered in 369 participants (71.8%) are decapsulation or powderization, though pediatric formulas are marketed. These 152 components may have a development seeds for children. In conclusion, prescription survey using medical big data may partially resolve the drug-development-need in pediatrics because by using medical big data will leads low biased data depending each institution.
CITATION STYLE
Momo, K., Kobayashi, M., & Sasaki, T. (2023). Exploring for Drug Development Seeds for Children Using a Large Claims Data —Survey for Powderization or Decapsulation of Oral Tablets or Capsule Formula in Children—. Yakugaku Zasshi. Pharmaceutical Society of Japan. https://doi.org/10.1248/YAKUSHI.22-00179-5
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