Impact of PharmaCloud on Pharmacist-Led Medication Reconciliation Efficiency and Error Detection Among Taiwanese Inpatients
Impact of Integrating PharmaCloud on Pharmacist-Led Medication Reconciliation Efficiency and Error Detection Among Internal Medicine Inpatients: A Prospective Non-Randomized Study in Taiwan
Taiwan's National Health Insurance Administration PharmaCloud provides cross-institutional medication access to reimbursed medication records to support best possible medication history (BPMH) compilation. However, its utility among internal medicine inpatients, who typically present with complex regimens and frequent medication changes, remains understudied. This study aims to evaluate the impact of PharmaCloud integration on pharmacist-led medication reconciliation (MedRec) efficiency and error detection among internal medicine inpatients at both admission and discharge.
The non-randomized, single-center study was conducted from May to November 2024 at the Far Eastern Memorial Hospital in Taiwan. Internal medicine inpatients taking at least one pre-admission chronic medication were enrolled and assigned to standard medication reconciliation protocol (control) or PharmaCloud-integrated medication reconciliation (experimental). Best possible medication history compilation time was recorded across two stages: preparation and interview. Medication discrepancies were identified at admission and discharge and classified as intentional or unintentional.
調査の概要
状態
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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New Taipei City、台湾、220216
- Far Eastern Memorial Hospital
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参加基準
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- Age 18 years or older
- Use of at least one pre-admission medication for a chronic disease
Exclusion Criteria:
- If patient was discharged within 48 hours of admission
- If patient was scheduled for surgery during their inpatient stay
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：ヘルスサービス研究
- 割り当て：非ランダム化
- 介入モデル：並列代入
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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介入なし：Standard medication reconciliation
Best possible medication histories (BPMHs) were constructed within 72 hours of patient admission.
First, designated pharmacists compiled a preliminary BPMH by reviewing in-house electronic medical records.
Then, pharmacists conducted patient or caregiver interviews to form the finalized BPMH.
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実験的：PharmaCloud-intergrated medication reconciliation
Best possible medication histories (BPMHs) were constructed within 72 hours of patient admission.
First, designated pharmacists compiled a preliminary BPMH by reviewing in-house electronic medical records and PharmaCloud data.
Then, pharmacists conducted patient or caregiver interviews to form the finalized BPMH.
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The intervention entailed supplementing in-house electronic medical record with data from PharmaCloud, a platform launched by Taiwan's National Health Insurance Administration to enable cross-institutional access to reimbursed medication records.
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Best possible medication history compilation efficiency
時間枠：From patient's time of hospital admission to 72 hours post-admission.
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The first outcome measure was best possible medication history (BPMH) compilation efficiency, which was measured in minutes as three metrics: preparation time (stage 1), measured from the start of electronic medical record (EMR) and PharmaCloud review to the completion of the preliminary BPMH; interview time (stage 2), measured from the start to the end of the face-to-face interview; and total BPMH compilation time, the sum of stage 1 and 2.
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From patient's time of hospital admission to 72 hours post-admission.
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Medication error detection rate
時間枠：Admission: Unintentional discrepancies identified from patient's time of admission to 72 hours post-admission. Discharge: Unintentional discrepancies identified immediately prior to patient's departure from the facility.
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Medication error detection rate was defined as the proportion of participants with at least one identified unintentional discrepancy at either admission or discharge.
All identified discrepancies were categorized as either intentional or unintentional, depending on whether or not the medication changes were consciously made by the prescribers, respectively.
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Admission: Unintentional discrepancies identified from patient's time of admission to 72 hours post-admission. Discharge: Unintentional discrepancies identified immediately prior to patient's departure from the facility.
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協力者と研究者
出版物と役立つリンク
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- 115116-E
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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