1.A Survey of the Collection, Provision, and Application of Drug Safety Information at Hospitals
Maki Masuyama ; Hirokazu Hasegawa ; Mie Ikeda ; Kazuhiko Mori ; Keiko Yoshino ; Yoshiaki Ara ; Hisanori Miyashita ; Yasuo Ide ; Yoshihiko Suzuki ; Masahiro Hayashi ; Tsutomu Matsuda
Japanese Journal of Drug Informatics 2013;14(4):170-178
Objective: We conducted a questionnaire survey to comprehend the situation regarding the collection, provision, and utilization of drug safety information at hospitals. In addition, we asked pharmaceutical companies how they select medical institutions to provide drug safety information. We also investigated the current situation of information provision to Tokyo Medial Center by pharmaceutical companies.
Method: A questionnaire was mailed to all hospitals in Japan. The survey was conducted between January 13 and February 10, 2011. Moreover, we asked thirteen pharmaceutical companies by telephone and e-mail about the implementation status of the provision of information and performed a survey at Tokyo Medical Center on the current situation of information provision by pharmaceutical companies regarding revisions to precaution sections in package inserts.
Results: The results of the questionnaire survey (response rate: 41.2%) showed that the major information sources for hospitals were medical representatives (77.8%), Drug Safety Update (50.3%) and direct mails (49.3%). Furthermore, in the case of drugs prescribed exclusively for extramural dispensing, fewer hospitals responded that medical representatives of the pharmaceutical companies provided drug safety information and more hospitals responded that they did not obtain any drug safety information at all, compared with drugs listed in the hospital formularies.
Conclusion: To minimize the risks of drugs, healthcare professionals must collect a wide range of drug safety information and must utilize this information in their medical practice. Therefore, it is important that pharmaceutical companies and regulatory authorities make an effort to provide suitable information dissemination to medical institutions. Furthermore, medical institutions must also strengthen their systems for collecting drug safety information and providing such information to healthcare professionals.
2.Investigation of the Appropriate Threshold for Warning Dosage and Development of a Predictive Logistic Regression Model to Detect Dose- Error of Prednisolone Tablets
Hiroyasu SATO ; Yoshinobu KIMURA ; Masahiro OHBA ; Yoshiaki ARA ; Susumu WAKABAYASHI ; Hiroko NOMURA ; Hiroaki WATANABE
Japanese Journal of Drug Informatics 2023;25(3):157-163
Objective: The wrong dose of high-risk drugs such as oral steroids is a serious issue that needs to be addressed. This study aims to determine the appropriate upper tolerable dose threshold and to develop a multi-variable logistic regression model to detect dose-errors in oral prednisolone tablets.Methods: Data on Prednisolone prescriptions were obtained from a single center. Out of the data collected, positive cases consisted of cases where dose-related modifications were made. A univariate logistic regression model was developed with the current daily dose. In the model, the Youden Index was used to determine the upper tolerable dose threshold. The investigation was done to determine whether the performance of the multivariate model was improved by adding clinical department and previous prescription information as variables.Results: Univariate models (AUC: 0.645) with only current daily doses and estimated optimal thresholds of 6 mg/day or 11 mg/day, respectively were determined to be appropriate. Including variables improved the performance of the predictive model; the best performing model (AUC: 0.840) was derived when the following variables were entered: “current daily dose,” “current prescription days,” “clinical department,” “daily dose of the previous prescription,” and “prescription days of the previous prescription”.Conclusion: A single upper tolerance limit is insufficient to determine dose adequacy for prednisolone tablets owing to their broad clinical dose range. Itmay be possible to develop a high-performance dose audit support model by adding information.