Evidence map›Paper›PMID 36793919›Full record

ArticlePharmacy practice

Your clinical pharmacist can save your life, the impact of pharmacist's intervention.

Eva Polics Ságiné, Zsófia Romvári, Katalin Dormán, Dóra Endrei

Open access · diamondAbstract read
In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Eva Polics SáginéPharmD. Komló Health Centre Mining Aftercare and Night Sanatorium Health Centre Institutional Pharmacy, Komló, Hungary. eva.polics@gmail.com.
Zsófia RomváriPharmD. Komló Health Centre Mining Aftercare and Night Sanatorium Health Centre Institutional Pharmacy, Komló, Hungary. gyogyszertar@komloikorhaz.hu.
Katalin DormánPharmD. Komló Health Centre Mining Aftercare and Night Sanatorium Health Centre Institutional Pharmacy, Komló, Hungary. gyogyszertar@komloikorhaz.hu.
Dóra EndreiFaculty of Health Sciences, Institute for Health Insurance, University of Pécs, Medical Center, Pécs, Hungary. endrei.dora@pte.hu.
Ministry of Health · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patient safety and adverse event analysis are of paramount importance in the management of patient medication, given the significant economic burden they place on a country's healthcare system. Medication errors fall into the category of preventable adverse drug therapy events and are therefore of key importance from a patient safety perspective. Our study aims to identify the types of medication errors associated with the medication dispensing process and to determine whether automated individual medication dispensing with pharmacist intervention significantly reduces medication errors, thereby increasing patient safety, compared to traditional, ward base medication dispensing (by a nurse). Method: A prospective, quantitative, double-blind point prevalence study was conducted in three inpatient internal medicine wards of Komló Hospital in February 2018 and 2020. We analyzed data from comparisons of prescribed and non-prescribed oral medications in 83 and 90 patients per year aged 18 years or older with different diagnoses treated for internal medicine on the same day and in the same ward. In the 2018 cohort, medication was traditionally dispensed by a ward nurse, while in the 2020 cohort, it used automated individual medication dispensing with pharmacist intervention. Transdermally administered, parenteral and patient-introduced preparations were excluded from our study. Results: We identified the most common types of errors associated with drug dispensing. The overall error rate in the 2020 cohort was significantly lower (0.9%) than in the 2018 cohort (18.1%) (p < 0.05). Medication errors were observed in 51% of patients in the 2018 cohort, i.e. 42 patients, of which 23 had multiple errors simultaneously. In contrast, in the 2020 cohort, a medication error occurred in 2%, i.e. 2 patients (p < 0.05). When evaluating the potential clinical consequences of medication errors, in the 2018 cohort, the proportion of potentially significant errors was 76.2% and potentially serious errors 21.4%, whereas in the 2020 cohort, only three medication errors were identified in the potentially significant category due to pharmacist intervention, which was significantly lower (p < 0.05). Polypharmacy was detected in 42.2% of patients in the first study and in 12.2% (p < 0.05) in the second study. Conclusion: Automated individual medication dispensing with pharmacist intervention is a suitable method to increase the safety of hospital medication, reduce medication errors, and thus improve patient safety.

Indexed as

clinical pharmacistmedication errorpatient safetypolypharmacyunit dose drug distribution systems

Identifiers

PMID36793919
PMCPMC9891796
OpenAlexW4311133617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.