Investigation on the Use of an Automated Question-and-Answer Post-Dispensing Follow-up Application during the Medication Period
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- Tominaga Yoshiko
- Research Department of Social Pharmacy, Faculty of Pharmacy, Niigata University of Pharmacy and Applied Life Science
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- Okizaki Ayumi
- KAKEHASHI Inc.
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- Suzuki Masaki
- mSEED Co., Ltd.
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- Sugimoto Nobuyasu
- Wakaba Co. Full Ties Co.
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- Tada Kozo
- GREENMEDIC Co., Ltd.
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- Kudo Tomoya
- KAKEHASHI Inc.
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- Shinohara Kuniko
- Ebisu Pharmacy Co., Ltd.
Bibliographic Information
- Other Title
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- 服薬期間中における質問自動送信型服薬フォローアップ アプリケーションの使用実態に関する研究
- フクヤク キカンチュウ ニ オケル シツモン ジドウ ソウシンガタ フクヤク フォローアップアプリケーション ノ シヨウ ジッタイ ニ カンスル ケンキュウ
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Description
<p>Objective: Continuous medication management is demanded from community pharmacists, including mandatory follow-ups (FUs) during the medication period. To improve their efficiency and quality, a software application (app) is being introduced. We investigated the use of the app for FUs by comparing it to the use of phone calls.</p><p>Design: This was a retrospective studythat collected FU records from participating pharmacies.</p><p>Methods: FU records of an automated question-and-answer post-dispensing app and phone calls made at 10 pharmacies in June-July 2021 were collected. Differences in the work time and contents of each FU tool were evaluated.</p><p>Results: Of the 138 eligible cases, 69 (50.0%) used the app and 62 (44.93%) used phones. There was 1 case of FU interruption using the app and 12 for those using phone calls. Preparation time to initiate FU was shorter using the app than phone calls (0.28 ± 0.96 min vs. 5.06 ± 5.44 min). Moreover, there were more cases of pharmaceutical problems identified using the app than phone calls (69.57% vs. 35.48%).</p><p>Conclusion: The FU app maybe a more efficient tool for identifying problems than phone calls. Further studies are needed to optimize the tool according to patient characteristics.</p>
Journal
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- Japanese Journal of Drug Informatics
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Japanese Journal of Drug Informatics 25 (3), 143-149, 2023-11-30
Japanese Society of Drug Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390017113110393088
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- NII Book ID
- AA11916144
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- ISSN
- 1883423X
- 13451464
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- NDL BIB ID
- 033217704
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
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- Abstract License Flag
- Disallowed