Objective: The purpose of this study was to identify existing problems related to the provision of drug information in clinical clerkships.  In addition, we aimed to develop a self-learning tool based on our findings.
Methods: We conducted a questionnaire survey on students who had completed a clinical clerkship between December 2012 and February 2013 concerning the actual status of the provision of drug information.  Based on responses received from 86 students, we then developed an online self-learning tool.  This online tool was subsequently evaluated by the same 86 students.
Results: More than 20% of students surveyed reported never having made inquiries at their clerkship site; therefore, we developed an online self-learning tool for inquiry services in which students were able to learn step-by-step how to analyze, search, evaluate and provide inquiries.  A total of 89% of the students who tried this tool reported being satisfied with its use.
Conclusion: Our results suggest that students in clinical clerkships lack sufficient experience regarding drug information-related inquiries.  Therefore, our online self-learning tool should be helpful in promoting understanding of how to manage such inquiries for students in clinical clerkships.

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Objective: To attain optimal blood concentration rapidly, it is needed to perform initial dose setting appropriately when vancomycin (VCM) used.  In order to design initial dose settings of VCM more currently, we compared the predictive performance of two types of VCM therapeutic drug monitoring (TDM) analysis software retrospectively.
Method: We utilized two TDM analysis software, SHIONOGI-VCM-TDM ver.2009 (VCM-TDM) and “Vancomycin MEEK TDM analysis software Ver. 2.0” (MEEK), based on patient’s background. 112 patients who received VCM and performed TDM were analyzed during the period from October 2011 through September 2012 and compared the actual trough level with the predictive trough level.  The predictive performance was evaluated by calculating ME (mean prediction error), MAE (mean absolute prediction error), and RMSE (root mean squared error).  Age, gender, and a renal function were evaluated as patient’s background.
Results: VCM-TDM gave good predictive performance for patients overall.  When classified patient’s background complexly (sex, age, and renal function), as for male patients, VCM-TDM showed good predictive performance except for the group over 65 years old and CCr over 85 mL/min.  For female patients, the difference of predictive performance was not accepted by all groups.
Conclusion: These results suggest, for male patients, we should use VCM-TDM for initial dose settings except for the group over 65 years old and over CCr 85 mL/min.  For the other patients, we consider that both of software can be used.  These new findings seem to contribute to proper dosage settings of VCM.

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Objective: A hospital Formulary (HF) is useful not only for providing a list of formulary drugs, but also for drug safety management and clinical practice in hospitals.  Our Pharmacy Division serves as a clinical training facility for the Faculty of Medicine and offers a bedside learning (BSL) program that allows students to participate in medical services.  Providing medical students with a requisite understanding of pharmacotherapy in order to effectively provide medical services is the goal of the core curriculum of medical education and HF use in BSL may be effective in achieving this goal.  We conducted a survey in order to examine the usefulness of an HF for medical students during clinical training and to determine what drug information is required by students.
Methods: Between April 2012 and March 2013, a questionnaire survey was conducted on 88 fifth-year medical students    who participated in a 1-day BSL program using an HF.
Results: The response rate was 100%.  All students responded that they understood how to use the HF and believed it was useful in BSL.  However, the level of satisfaction with the explanatory notes was significantly lower than that of other sections providing clinically useful additional information such as monographs or supplementary tables (p<0.05).  More than 80% of the students considered monographs to be useful for obtaining information on side effects, warnings and contraindications, dosage and administration, indications, dosing in renal impairment, and drug name.  Students generally considered supplementary tables useful for obtaining information on serious side effects and their early identification, points of drug use in renal dysfunction, appropriate drug use in cancer chemotherapy, insulin and diabetes treatment, calculations of pediatric dosing, and a list of clinically used abbreviations.
Conclusion: These results suggest that medical students believe an HF is useful in BSL.  When medical students participate in pharmacotherapy during BSL programs outside the Pharmacy Division, an HF that not only lists drugs but also contains supplementary tables of clinically useful information may be required.

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Objective: To identify consumer opinions on the online sales of over-the-counter drugs (“OTCs”) and related factors.
Methods: A Web survey of consumers was conducted.  The main questions were: (1) Respondent attributes; (2) Frequency of purchasing OTCs; (3) Behaviors while in poor physical condition or while ill; (4) Experience of side effects; (5) Experience of purchasing health foods and OTCs online; (6) Opinion on online sales, and (7) The reasons for their opinion.  Respondents were grouped into two categories based on whether they were for or against online sales in (6).  The distributions of the answers to (1) through (5) from these groups were verified using the χ² test.  Text mining was used to closely examine the answers to (7).
Results: 68.5% of the 2,609 respondents were in favor of online sales, with 31.5% against.  Females and elderly respondents had higher rates of opposition.  Consumers who frequently purchased OTCs, used drugs while in poor physical condition or while ill, and had experience purchasing health foods and OTCs online had higher rates of favoring it.  The top reason for favoring online sales was “convenience,” while the main reasons for opposing it were “safety,” “difficulty in selection,” and “liability.”
Conclusion: Pharmacists will need to respond to consumer concerns when selling OTCs by developing the “ability to observe consumers’ condition and understand their concerns,” thereby improving their communication ability in face-to-face sales.

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Objective: In pharmacy school, most faculty members use generic names when discussing medicine; however, in clinical clerkships, most staff members use brand names. This sometimes leads to poor communication and understanding between the students and medical staff.  The purpose of this study was to clarify the need for a tool to improve communication and understanding in relation to drug information.  Based on the findings of this survey, our secondary aim was to develop and subsequently evaluate such a tool.
Methods: To clarify the need for a self-learning tool, we conducted a questionnaire survey on 58 faculty members who teach courses on drug informatics.  Based on their responses, we then developed a self-learning tool that was subsequently evaluated by a total of 78 undergraduate students.
Results: Most of the faculty agreed concerning the necessity of a self-learning tool for drug information, particularly in regard to the establishment of a more user-friendly system and reduced user fees for students.  The faculty also believed that students should be able to associate the generic drug name with various kinds of information, including its safety, efficacy, and brand name.  All students agreed that the tool was helpful, very easy to use, and could be learned during their commute to school.
Conclusion: Our results suggest that most faculty members support the idea of having a tool capable of promoting a better understanding and grasp of drug information.  Therefore, our self-learning tool should be helpful in promoting increased knowledge concerning drug information for students in clinical clerkships.

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Objective: To reveal the current use of medication notebooks in clinical practice and the differences in submission rates of medication notebooks among patients with different sociodemographic and medical characteristics.
Methods: We conducted a survey of the submission rates by studying the medication history, from June 19, 2014, to July 3, 2014.
Results: The overall submission rate of returning patients was 57.1% and the submission rate of patients who visit a single medical institution was significantly lower than patients who visit more than two (55.4% vs. 67.7%, p<0.001).  Multivariate logistic regression also indicated significant differences between the single and multiple medical institution visit group (adjusted OR=2.74 [95% CI: 1.93-3.89], p<0.001).  Submission rates for patients in their 20, 30, and 50 s who visit a single medical institution were lower than 40%.
Conclusions: To improve the usefulness of the community pharmacy and increase the submission rate, we need to increase awareness of the importance of medication notebooks among patients who visit a single medical institution.  Additionally, future studies need to focus on factors such as age-related issues that might affect submission rates.

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