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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Hur väl stämmer patienternas läkemedelslistor? En kartläggning på medicinkliniken vid Capio S:t Görans Sjukhus / Discrepancies in medication lists at hospital wards identified by medication reconciliation

Anderberg, Maria January 2020 (has links)
Abstract [en] Title: Discrepancies in medication lists at hospital wards identified by medication reconciliation Authors: Anderberg M. Institute: Uppsala University, Uppsala, Sweden Background and objective: An accurate medication list is essential for a correct assessment of a patient´s condition at hospitals. Previous studies have shown that patients in emergency departments often are affected by discrepancies in medication lists at hospital admission. Less research has been done regarding discrepancies after transferring patients to medical wards. The aim of this study was to identify discrepancies in the electronic medical record in hospital wards for patients admitted via the emergency department. Design: Observational study. Medication reconciliation was performed by a pharmacist shortly after the arrival of patients from the emergency department. This included a patient interview and the investigation of the patient’s medical record. The discrepancies identified at the wards were classified as either omitted drug, wrong dose, additional drug, incorrect frequency or duplicate therapy. Descriptive statistics were used and the proportion of medication lists with at least one discrepancy was presented with 95 % confidence interval. Setting: Three medical wards at Capio S:t Görans Hospital in Stockholm.  Main outcome measures: The proportion of medication lists with at least one discrepancy. The mean value of discrepancies among all patients. Classification and categorization of discrepancies regarding type and ATC index.  Results: In total, 63 patients were included with a mean age of 63 years. At least one discrepancy was identified in 43 % (95 % CI 31-55) of the medication lists. 52 discrepancies were found in total generating a mean value of 0,83 ± 1,17 discrepancies per medication list. The two most common categories were Omitted drug(33%) and Wrong dose(33%). The most frequent drug class associated with medication discrepancies was Drugs for obstructive airway diseases.  Conclusion: 43 % of the patients had at least one discrepancy in the medication list. This indicates the importance of medication reconciliations at medical wards even though the medication list has been updated at the emergency department.

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