Objective: To examine the usefulness of inquiries made by hospital pharmacists.
Methods: This study was conducted a survey about the actual condition of inquiries at 5 hospitals.
Results: The prescriptions subjected to inquiry accounted for 1.5% of the inpatient prescriptions and 0.3% of the injection prescriptions.  In cases of “Incomplete entry in the prescription” for the subcategory of “Question about safety,” drug costs without the impact of pharmaceutical inquiries were calculated on the assumption that the concerned drugs should have been generally prescribed.  Our results showed that the total savings in medical costs were 30,673 yen for the inpatient prescriptions and 159,212 yen for injection prescriptions, which suggested that pharmaceutical inquiries are effective for saving medical costs for either type of prescriptions.  In the case of patients in whom adverse drug reactions (ADRs) might have occurred without prescription changes, medical cost savings realized by preventing ADRs were estimated using the Diagnosis Procedure Combination/Per-Diem Payment System (DPC/PDPS).  Our results showed that the savings were 1,428,710 yen for inpatient prescriptions (6 patients), which indicated that a large amount of medical costs was saved.
Conclusions: Our results suggested that similar to pharmaceutical inquiries made by community pharmacists, those made by hospital pharmacists not only result in the proper delivery of drug therapy but also are useful in terms of medical economics.

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Objective: To examine the association between statin use and the risk of sleep disturbances, data mining was performed on a claims database.
Methods: Symmetry analysis was carried out to identify the risk of sleep disturbances after statin use during the period from January 2005 to December 2011.  Statin use in combination with hypnotic drugs was examined by prescription sequence symmetry analysis.  In this study, hypnotic drugs that are commonly prescribed for the treatment of insomnia were used as markers of sleep disturbances produced by statins. Likewise, event sequence symmetry analysis was undertaken to evaluate the association between statin use and the diagnosis of sleep disturbances.
Results: Significant associations of statin use with short-acting hypnotic drugs were found, with an adjusted SR (sequence ratio) of 1.23 (95%CI: 1.04-1.45) at an interval of 12 months.  Otherwise, significant associations between individual statin use and hypnotic drug use were not found.  Significant associations between use of statins and the diagnosis of sleep disturbances were not also found in this study.
Conclusions: Analysis of the claim database demonstrated that statin therapy might be associated with an emergence of sleep disturbances.  Therefore, individuals prescribed statins should be considered as having an increased risk of sleep disturbances.

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Objective: Taking the wrong medicine or medication error is a serious concern to patient safety.  The aim of this study was to statistically survey the relation between the placement of drugs on medicine shelf and the occurrence of error in taking a medicine.
Methods: The study comprised 2 groups.  The incident group contained 43 cases that were erroneously taken in the Obihiro Kosei General Hospital.  The control group contained 43 drug pairs matched by the similarity index of the drug names from among the drugs used in the hospital at random.  The similarity index of drug names was based on 10 quantitative indicators.  The distance of medicine shelf arrangement was represented by three variables: the horizontal distance, the vertical distance and the distance of shelf block.  Conditional logistic regression analyses of the occurrence of medication errors were performed by evaluating the three variables of the distance factor and their interaction for error in taking a similar-sounding named drugs.
Results: Conditional logistic regression analysis revealed that the vertical distance (OR: 0.64, 95%CI: 0.42-0.99) and the distance of the shelf block (OR: 0.74, 95%CI: 0.57-0.97) were significant risk-reduction factors of medication errors.  Four variables were extracted as the most suitable logistic regression model in terms of the interaction between them.  As the interaction between 3 variables (the horizontal distance, the vertical distance and the distance of shelf block) was significant (OR: 0.93, 95%CI: 0.86-0.99), they may be considered as synergistic risk-reduction factors.  Moreover, the horizontal distance was found to be a risk-enhancement factor (OR: 1.52, 95%CI: 0.93-2.48).
Discussion: In order to reduce the risk of medication errors due to similar-sounding drug names, placement of drug on the medicine shelf should take into consideration the three coordinates of the distance factor.

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Objective: The present study investigated risk factors and subjective symptoms associated with drug-induced thrombocytopenia.
Methods: We selected 361 patients with drug-induced thrombocytopenia from the Case Reports of Adverse Drug Reactions and Poisoning Information System (CARPIS) database of over 65,000 case reports of adverse drug reactions and assigned these patients to a case group.  We also randomly selected 794 cases of adverse drug reactions not associated with thrombocytopenia as a control group.
Results: Data were compared between the case and control groups, and results were analyzed using logistic regression analysis.  We identified type of infection (non-viral) and renal failure as risk factors for drug-induced thrombocytopenia.  In addition, administration of carbamazepine, methotrexate, interferon alpha, ticlopidine or valproic acid significantly increased the risk of drug-induced thrombocytopenia.  Significant associations were also found between drug-induced thrombocytopenia and purpura, fever, and mucosal bleeding.
Conclusion: These findings provide helpful information for early detection and prevention of thrombocytopenia as a serious adverse drug reaction.

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Objective: The Pharmaceuticals and Medical Devices Agency (PMDA) discloses reports with accumulated side effect information in comma-separated value (CSV) format.  It is difficult to use the information in this type of text file because the amount of data is large and composed of multiple fields.  Therefore, we developed an application that presents the data in a way that is easier to read and understand.
Methods: The application can display the whole dataset, or the search results of certain medicines and side effects within the database in Microsoft Access 2013.  It exports data from search results into an Excel spreadsheet organized by medicine and side effect.
Results: This application makes it possible to understand statistics contained in the side effect dataset, such as the number of cases, the medicines, and the side effects themselves.  Moreover, the application allows the totaled search results for the medicines and the side effects to be graphed.  It also makes it possible to understand the sex and age distribution of patients, as well as the days elapsed before developing a side effect.
Conclusions: Recently, the importance of information concerning the safety of medicine has increased.  This system could facilitate the effective use of side effect information and the creation of medicine risk management plans in medical institutions.

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  Nagara Medical Center introduced two computer systems that utilized data imputed into electronic medical records.  The first system was used to check cancer chemotherapy prescriptions, whereas the second system was a preparation support system that facilitates precise mixing of anticancer drugs.
  The prescription checking system made it possible to easily monitor the dose of anticancer drugs and dosing intervals utilizing data imputed into electronic medical records.  Using this system, the time required for checking was reduced significantly compared to without using the system.
  The preparation support system enables converting the dose of anticancer drugs that imputed into electronic medical records to the prepared amount automatically and checking of the amounts of drugs for drug preparations.  Drugs are checked by reading a bar code attached to a vial or ampule in order to check prepared drugs are correct.  The prepared amount of drug is checked by measuring the weight of a syringe used in preparation before and after preparation.  Using the preparation support system, the preparation time required was prolonged significantly compared to that without using the system.  However, questionnaire survey revealed that prolonged time was in the allowable range to ensure safety.
  In conclusion, it is considered that the prescription checking system introduced efficient checking of prescriptions, and that the preparation support system introduced an improvement in the accuracy of preparation.

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