Objective: For effective use of over-the-counter (OTC) drugs that are provided as relief supplies during a disaster, we aimed to develop a list of OTC drugs that can be used during a disaster.
Methods: We obtained information about OTC drugs useful during a disaster by examining results of previous studies and lists of drugs used during a disaster.  We analyzed this information with the expert pharmacist of disaster support and established a rationale for our list and developed “the List of Useful OTC Drugs During a Disaster” and “the Information Card on Useful OTC Drugs During a Disaster.”
Results: We developed our list of OTC drugs based on the following parameters: (1) while people with severe disorders (e.g. renal failure) are treated by medical teams, those with minor physical conditions are treated using OTC drugs and (2) those OTC drugs that can be used as substitutes for prescription drugs were preferably selected.  The List of Useful OTC Drugs ()—During a Disaster (containing 56 items) was developed for use mainly by medical professionals.  Further, pharmacists from disaster-relief medical teams may not always be available in disaster-stricken areas; therefore, the Information Card on Useful OTC Drugs During a Disaster was developed to enable disaster victims to independently make a certain level of decision.  The information card contained pictograms to call the attention of the disaster victims.
Conclusion: Our results can provide a common tool for drug suppliers, medical professionals engaging in relief works in disaster-stricken areas, and disaster victims.

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.

Objective: The purpose of this survey is to identify the individuals responsible for providing drug information (DI) services in medical institutions across the nation and understand their work conditions. Method: This survey was conducted across medical institutions nationwide, each with at least 200 general hospital beds. The survey focused on personnel in charge of DI services at medical institutions. Results: Responses were collected from 181 facilities, representing a response rate of 13.7%. The median number of full-time equivalent DI personnel at each facility was 1.2 (ranging from 0.2 to 7 (n = 180)). Among the respondents, 90 (49.7%) individuals learned their DI responsibilities from their predecessors, 81 (44.8%) individuals learned through participation in academic societies (excluding the Japanese Society for Drug Information), and 61 (33.7%) individuals gained their knowledge from academic journals, with these methods listed in their order of prevalence. The most sought-after knowledge and skills for DI personnel included the knowledge of adverse drug reaction reporting system (134 (74.0%)), basic PC skills (130 (71.8%)), knowledge of medical fees (128 (70.7%)), and expertise in disease treatment methods (125 (69.1%)). Results and Conclusion: The findings of the survey revealed that several medical institutions with 200 or more beds have only one or two individuals in charge of DI duties. Apart from their core role in drug information, the DI staff members are expected to possess extensive knowledge concerning medical fees and related matters. However, they predominantly rely on their skills for DI operations. The tasks identified in the survey are tasks that are presently being performed by DI personnel at medical institutions. This underscores the pressing need for immediate attention to be given to acquiring the essential knowledge and education required for these tasks.