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Enhanced Free-Text Search for Aggregated Medication Error Report Analysis and Risk Detection.
Valkonen, Ville; Saano, Susanna; Haatainen, Kaisa; Tiihonen, Miia.
Afiliación
  • Valkonen V; From the School of Pharmacy, University of Eastern Finland.
  • Saano S; Hospital Pharmacy, Wellbeing Services County of North Savo.
  • Haatainen K; Strategy and development, Wellbeing Services County of North Savo, Kuopio, Finland, Department of Nursing Science, University of Eastern Finland, Kuopio, Finland.
  • Tiihonen M; From the School of Pharmacy, University of Eastern Finland.
J Patient Saf ; 20(4): 259-266, 2024 Jun 01.
Article en En | MEDLINE | ID: mdl-38578609
ABSTRACT

OBJECTIVES:

Detecting medication errors (MEs) and learning from them are the key elements of medication safety management in health care. While the aggregation of the data and learning across the ME reports could help detect and manage organizational risks, the inconsistent and partly missing structural data complicate the analysis. The objective of this study was to examine whether an analysis of free-text data of aggregated ME reports could contribute to the detection of organizational risks.

METHODS:

A retrospective, cross-sectional analysis of ME reports from a patient safety incident reporting system in a tertiary hospital 2017-2021. Clustering of characteristics and variables of ME reports with an enhanced free-text search of the 10 most frequent active substances (TOP10) related to ME reports using Microsoft Excel. Validity analysis of the four most frequent active substances of the search results (TOP4). Evaluation of the possible impact of the enhanced free-text search method on ME report analysis and risk detection.

RESULTS:

The enhanced free-text search increased significantly the number of relevant ME reports of TOP10 active substances from 698 reports to 1578 reports. The validity of the enhanced free-text search results in TOP4 active substances was more than 74%. The enhanced free-text search revealed also new ME findings.

CONCLUSIONS:

Enhanced free-text search can contribute to the aggregate analysis of clustered ME reports and to the improvement of ME risk detection. The enhanced free-text search method enables more comprehensive analysis of the free-text data with commonly available software and provides new insights into medication safety improvement.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Gestión de Riesgos / Errores de Medicación Límite: Humans Idioma: En Revista: J Patient Saf Asunto de la revista: SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Gestión de Riesgos / Errores de Medicación Límite: Humans Idioma: En Revista: J Patient Saf Asunto de la revista: SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos