Evidence map›Paper›PMID 33025450›Full record

ArticleInternational journal of clinical pharmacy2021

Pharmaceutical Care Network Europe (PCNE) drug-related problem classification version 9.00: German translation and validation.

Elisabeth Schindler, Ina Richling, Olaf Rose

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Article in International journal of clinical pharmacy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

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25citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Drug-related problems and their predictors in pediatric community-acquired infections: the role of pharmacist-led interventions in Pakistan.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Elisabeth SchindlerInstitute of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Marburg University, Marburg, Germany.
Ina RichlingDepartment of Pharmacy, Katholische Kliniken im Märkischen Kreis, Hochstr. 63, 58638, Iserlohn, Germany.
Olaf RoseDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, 1225 Center Drive, Gainesville, FL, 32610-0486, USA. rose@elefantenapo.de.ORCID http://orcid.org/0000-0003-1681-4909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The drug-related problem classification system of the Pharmaceutical Care Network Europe (PCNE) is well established and continuously updated. A translated version of the drug-related problem classification system can facilitate research and implementation of clinical pharmacy services in the corresponding countries. Aim This study aimed to translate and validate the current version 9.00 into German language. Method The forward-backward translation method was used to translate the English version 9.00 into German language. Validation was done with 20 patient cases. Consistency was calculated in percentage and compared to international results. Results Translation of the classification system yielded in a German version. Validation was done with 32 pharmacists and 20 patient cases. In the five primary domains, average consistencies of 77.3% (problem), 57.8% (cause), 57.4% (intervention), 74.5% (acceptance) and 74.9% (status) were achieved. Ambiguities were found in some patient cases, as raters came to differing but plausible codes. Conclusions This study provides a German translation of the PCNE classification for drug related problems of approximately similar consistency as the international version. It hence can be considered to classify drug-related problems in German speaking countries. Patient cases need to be more specific in future validations, feasibility and layout of the classification system need to improve.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmaceutical PreparationsPharmacy Service, HospitalEuropeHumansLanguageReproducibility of ResultsPharmaceutical PreparationsClassificationClinical pharmacy serviceDrug-related problemMedication managementMedication reviewPharmacy

Identifiers

PMID33025450

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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.