著者

大嶋 繁 山田 真理絵 根岸 彰生 大島 新司 齋木 実 小林 大介

出版者

一般社団法人 日本プライマリ・ケア連合学会

雑誌

日本プライマリ・ケア連合学会誌 (ISSN:21852928)

巻号頁・発行日

vol.39, no.3, pp.175-178, 2016 (Released:2016-09-21)

参考文献数

4

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薬剤師の在宅業務の充実を目的として, 在宅患者の症例を基に作成したシナリオおよび高機能患者シミュレータを用いた『フィジカルアセスメントアドバンス講習会』を行った. その際シナリオを用いた演習を行い, 薬剤師が在宅で実施すべき項目 (在宅業務必須項目) の実施率 (実施者数/受講者数) を, 訪問薬剤管理指導料の算定要件等を基に作成したチェックシートを用いて調査したところ, 項目ごとの差が大きかった. 本調査結果から薬剤師が在宅業務を実施する上で, 患者の生活を支えることを意識した薬学的管理業務のトレーニングの必要性が示唆された.

著者

大嶋 繁 原 彩伽 阿部 卓巳 秋元 勇人 大原 厚祐 根岸 彰生 冲田 光良 大島 新司 井上 直子 沼尻 幸彦 小川 越史 齋木 実 小林 大介

出版者

公益社団法人 日本薬学会

雑誌

YAKUGAKU ZASSHI (ISSN:00316903)

巻号頁・発行日

vol.137, no.5, pp.623-633, 2017 (Released:2017-05-01)

参考文献数

20

被引用文献数

5

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Pharmacists applied deprescribing, which is a process for the rational use of drugs, for 13 at-home patients. The standard used for the rational use of drugs was the “Guidelines for Medical Treatment and Its Safety in the Elderly” (the Guidelines). The results of the deprescribing were discussed with physicians to determine prescriptions. After the prescription change, activities of daily living (ADL) and QOL were assessed using the Barthel Index and SF-36v2, respectively. Potentially inappropriate medications (PIMs) were detected in 10 of the 13 patients (76.9%). This detection rate is higher than previous PIM detection rates of 48.4% and 40.4% reported in prescriptions for home-care patients in Japan under the Beers and STOPP/START criteria. The Guidelines appeared useful as a decision support tool for deprescribing. The patients continuing the changed prescriptions showed no decrease in ADL or QOL after deprescribing, suggesting its rationality. The 10 measurement items of the Barthel Index were all suitable for evaluating the physical conditions of the patients. Meanwhile, SF-36v2 includes many items, but few indexes were directly applicable.

著者

堀井 徳光 井上 直子 大嶋 繁 冲田 光良 秋元 勇人 根岸 彰生 大島 新司 沼尻 幸彦 小林 大介

出版者

一般社団法人 日本老年薬学会

雑誌

日本老年薬学会雑誌 (ISSN:24334065)

巻号頁・発行日

vol.1, no.2, pp.28-33, 2018-09-30 (Released:2019-10-07)

参考文献数

19

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In the Integrated Community Care System, pharmacists are expected to play a central role in addressing patients’ drug problems. Therefore, it is necessary to know the patients’ drug problems as well as the occupations of professionals in solving these problems, and to clarify the problems to be preferentially resolved. Thus, we surveyed care managers working in a district near the Josai University pharmacy about their drug problem recognition and the professionals who solved these problems. Many of the care managers identified “the patient has leftover drugs” and “the patient has declining cognitive abilities” as drug problems. Many of the care managers expected pharmacists to solve the problems of “the patient has leftover drugs” and “the patient does not understand the dosage regimen.” “The patient has leftover drugs,” “the patient needs allotting of drugs to ensure adherence,” “the patient does not understand the significance of the meditation,” and “the patient does not understand the dosage regimen” are drug problems in which pharmacists should preferentially intervene and play a role in the Integrated Community Care System.

著者

笹川 五十次 細谷 治 從二 和彦 大島 新司 安野 伸浩 太田 昌一郎

出版者

一般社団法人 日本ペインクリニック学会

雑誌

日本ペインクリニック学会誌 (ISSN:13404903)

巻号頁・発行日

vol.19, no.4, pp.544-545, 2012 (Released:2012-11-16)

参考文献数

5

著者

井上 直子 安田 和誠 森 勇人 秋元 勇人 大原 厚祐 根岸 彰生 冲田 光良 大島 新司 沼尻 幸彦 大嶋 繁 從二 和彦 小林 大介

出版者

日本社会薬学会

雑誌

社会薬学 (ISSN:09110585)

巻号頁・発行日

vol.37, no.2, pp.81-90, 2018-12-10 (Released:2019-01-19)

参考文献数

11

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Drug dispensing is a statutory and designated duty of a pharmacist. We aimed to examine the changes in the nature of drug dispensing using a text mining method. Our corpus consisted of text documents from “Chozai Shishin”, the most standard manual for dispensing drugs in Japan, Editions 1 to 13 (Japan Pharmaceutical Association), and we used the KH Coder software for text mining. We constructed networks showing the association between frequent word co-occurrence and edition number, and co-occurrence relations for frequent words in each edition. We found that “patient” superseded “dispensing” as a frequent term over time. “Dispensing” was another frequent term with a highly centralized node in each edition. Accordingly, we targeted the term “dispensing” for network analysis to depict its co-occurrence relations. We found that the range of related words for “dispensing” broadened from “preparation” and “compounding” to include “patient adherence instructions”, “assessment”, “medical treatment”, and “information provision”. Accordingly, we concluded that the content of “dispensing”, which is a pharmacist’s duty, has expanded from the duties of “dispensing drugs” to include “responding to patients” within the definition of “dispensing”, and we were able to present this finding as objective data by using the mechanical method known as text mining.

著者

保坂 茂 山本 碧 斉藤 竜也 大島 新司 大嶋 繁 大島 公恵 久津間 信明 本間 精一 小林 大介

出版者

Japanese Society of Drug Informatics

雑誌

医薬品情報学 (ISSN:13451464)

巻号頁・発行日

vol.15, no.2, pp.64-70, 2013 (Released:2013-09-05)

参考文献数

14

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Objective: In this study, we evaluated distinctive types of physical predisposition in patients with common side effects.Method: We selected 500 and 1,200 individuals with and without a previous diagnosis of side effects, respectively, through web-based research.  Then, we conducted a decision tree analysis for investigating the status of 100 types of physical predisposition in these individuals.Results and Conclusion: The individuals who had suffered from hepatic disorder and answered “relevant” for “predisposition to swelling” (likelihood ratio of a positive result [LR+] 2.17; p=0.004) and “very relevant” for “predisposition to skin dryness” (LR+ 3.52; p<0.001) enhanced the probability of extracting individuals who developed side effects.  The individuals who had suffered from skin disorder and answered “relevant” for “predisposition to eczema and inflammation” and “not relevant” for “predisposition to higher temperature” had an LR+ of 2.22 (p<0.001).  The individuals with “predisposition to worsening of physical condition on a rainy or high-humidity day” are more likely to develop side effects with the use of antibiotics and NSAIDs, compared to those without this predisposition (antibiotics: LR+ 2.33; NSAIDs: LR+ 2.51).  The results of this study indicate that we can identify patients with a high risk of side effects through an interview on predisposition.