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.
Studienübersicht
Status
Intervention / Behandlung
Studientyp
Einschreibung (Tatsächlich)
Phase
- Unzutreffend
Kontakte und Standorte
Studienorte
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New Taipei City, Taiwan, 220216
- Far Eastern Memorial Hospital
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Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Beschreibung
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
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Versorgungsforschung
- Zuteilung: Nicht randomisiert
- Interventionsmodell: Parallele Zuordnung
- Maskierung: Keine (Offenes Etikett)
Waffen und Interventionen
Teilnehmergruppe / Arm |
Intervention / Behandlung |
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Kein Eingriff: 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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Experimental: 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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Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Best possible medication history compilation efficiency
Zeitfenster: 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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Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Medication error detection rate
Zeitfenster: 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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Mitarbeiter und Ermittler
Sponsor
Mitarbeiter
Publikationen und hilfreiche Links
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Tatsächlich)
Primärer Abschluss (Tatsächlich)
Studienabschluss (Tatsächlich)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Andere Studien-ID-Nummern
- 115116-E
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