Creación de perfiles y herramienta de detección de pacientes con dolor.
Saved in:
| Title: | Creación de perfiles y herramienta de detección de pacientes con dolor. |
|---|---|
| Alternate Title: | Creation of Patient Profiles and a Screening Tool for Individuals with Pain. |
| Authors: | Morcuende Campos, Álvaro1, Reyes Estévez, Daniel2 leinad_77@hotmail.com, González Rodríguez, Alicia3, Córcoles Ferrándiz, María Edelmira4, Merencio Naudin, Eloi5 |
| Source: | Farmacéuticos Comunitarios. 2025, Vol. 17 Issue 4, p41-64. 24p. |
| Subjects: | CHRONIC pain, CLUSTERING algorithms, MEDICAL needs assessment, PHYSICIAN practice patterns, MEDICAL care use, PAIN management, PAIN measurement, DRUGSTORES |
| Abstract (English): | Introduction: Chronic pain, affecting 20-26% of adults, has a profound impact on quality of life and generates substantial socioeconomic costs. Patient profiling enables the individualization of treatment, the identification of patient subgroups, and the design of personalized therapeutic strategies, ultimately improving outcomes and healthcare efficiency. The main objective of this study is to establish patient clusters based on pain characteristics and to develop a screening tool capable of identifying patients according to the resulting clustering model. Materials and Methods: A descriptive, cross-sectional, multicenter study was conducted in patients experiencing pain who visited community pharmacies. Unsupervised clustering techniques were employed to identify patterns among patients with acute and chronic pain. These were followed by statistical analyses and supervised algorithms for the prediction and evaluation of the questionnaire. Based on these findings, a tool was developed to predict patient group membership according to the identified clusters. Results: The analysis identified four acute pain profiles and five chronic pain profiles, with subgroup 1 exhibiting the poorest outcomes in both cases. The classification model used to predict new data achieved an accuracy of 64.52% for acute pain and 85.56% for chronic pain based on the available data. Conclusions: Four patient profiles were identified in acute pain and five in chronic pain, facilitating the personalization of treatment. Community pharmacy, due to its accessibility, enables continuous follow-up, improves adherence, allows for treatment adjustments, and enhances coordination of care. The classification tool will enable patient assessment through psychometric variables, thereby improving pain management. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | INTRODUCCIÓN: El dolor crónico, que afecta al 20-26 % de los adultos, impacta profundamente en calidad de vida y los costos socioeconómicos. El análisis de perfiles permite individualizar tratamientos, identificar subgrupos de pacientes y diseñar estrategias terapéuticas personalizadas, mejorando resultados y eficiencia sanitaria. Objetivo principal: establecer clústeres de pacientes basados en su dolor y obtener una herramienta que permita identificar pacientes en base a la clusterización desarrollada. MATERIAL Y MÉTODOS: Se realizó un estudio descriptivo, transversal, multicéntrico en pacientes con dolor que acuden a la farmacia comunitaria. Se usaron técnicas de agrupamiento no supervisado para detectar patrones en pacientes con dolor agudo y crónico, seguidas de análisis estadísticos y algoritmos supervisados para la predicción y evaluación del cuestionario. En base a estos hallazgos, se desarrolló una herramienta capaz de predecir la pertenencia de los distintos grupos identificados. Resultados: El análisis identificó 4 perfiles en dolor agudo y 5 en crónico, con el subgrupo 1 mostrando los peores resultados en ambos casos. El modelo de clasificación, para predecir nuevos datos, alcanzó una exactitud del 64.52 % en dolor agudo y 85.56 % en crónico con los datos disponibles. Conclusiones: Se identificaron cuatro perfiles de pacientes con dolor agudo y cinco con dolor crónico, lo que facilita la personalización del tratamiento. La farmacia comunitaria, por su accesibilidad, permite un seguimiento continuo, mejorando la adherencia, ajustando tratamientos y coordinando la atención sanitaria. La herramienta de clasificación permitirá analizar a los pacientes mediante variables psicométricas, mejorando el manejo del dolor. [ABSTRACT FROM AUTHOR] |
| Copyright of Farmacéuticos Comunitarios is the property of Sociedad Espanola de Farmacia Familiar y Comunitaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: lth DbLabel: MedicLatina An: 189117633 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Creación de perfiles y herramienta de detección de pacientes con dolor. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Creation of Patient Profiles and a Screening Tool for Individuals with Pain. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Morcuende+Campos%2C+Álvaro%22">Morcuende Campos, Álvaro</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Reyes+Estévez%2C+Daniel%22">Reyes Estévez, Daniel</searchLink><relatesTo>2</relatesTo><i> leinad_77@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22González+Rodríguez%2C+Alicia%22">González Rodríguez, Alicia</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Córcoles+Ferrándiz%2C+María+Edelmira%22">Córcoles Ferrándiz, María Edelmira</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Merencio+Naudin%2C+Eloi%22">Merencio Naudin, Eloi</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Farmacéuticos+Comunitarios%22">Farmacéuticos Comunitarios</searchLink>. 2025, Vol. 17 Issue 4, p41-64. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22CHRONIC+pain%22">CHRONIC pain</searchLink><br /><searchLink fieldCode="DE" term="%22CLUSTERING+algorithms%22">CLUSTERING algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+needs+assessment%22">MEDICAL needs assessment</searchLink><br /><searchLink fieldCode="DE" term="%22PHYSICIAN+practice+patterns%22">PHYSICIAN practice patterns</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+care+use%22">MEDICAL care use</searchLink><br /><searchLink fieldCode="DE" term="%22PAIN+management%22">PAIN management</searchLink><br /><searchLink fieldCode="DE" term="%22PAIN+measurement%22">PAIN measurement</searchLink><br /><searchLink fieldCode="DE" term="%22DRUGSTORES%22">DRUGSTORES</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Introduction: Chronic pain, affecting 20-26% of adults, has a profound impact on quality of life and generates substantial socioeconomic costs. Patient profiling enables the individualization of treatment, the identification of patient subgroups, and the design of personalized therapeutic strategies, ultimately improving outcomes and healthcare efficiency. The main objective of this study is to establish patient clusters based on pain characteristics and to develop a screening tool capable of identifying patients according to the resulting clustering model. Materials and Methods: A descriptive, cross-sectional, multicenter study was conducted in patients experiencing pain who visited community pharmacies. Unsupervised clustering techniques were employed to identify patterns among patients with acute and chronic pain. These were followed by statistical analyses and supervised algorithms for the prediction and evaluation of the questionnaire. Based on these findings, a tool was developed to predict patient group membership according to the identified clusters. Results: The analysis identified four acute pain profiles and five chronic pain profiles, with subgroup 1 exhibiting the poorest outcomes in both cases. The classification model used to predict new data achieved an accuracy of 64.52% for acute pain and 85.56% for chronic pain based on the available data. Conclusions: Four patient profiles were identified in acute pain and five in chronic pain, facilitating the personalization of treatment. Community pharmacy, due to its accessibility, enables continuous follow-up, improves adherence, allows for treatment adjustments, and enhances coordination of care. The classification tool will enable patient assessment through psychometric variables, thereby improving pain management. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: INTRODUCCIÓN: El dolor crónico, que afecta al 20-26 % de los adultos, impacta profundamente en calidad de vida y los costos socioeconómicos. El análisis de perfiles permite individualizar tratamientos, identificar subgrupos de pacientes y diseñar estrategias terapéuticas personalizadas, mejorando resultados y eficiencia sanitaria. Objetivo principal: establecer clústeres de pacientes basados en su dolor y obtener una herramienta que permita identificar pacientes en base a la clusterización desarrollada. MATERIAL Y MÉTODOS: Se realizó un estudio descriptivo, transversal, multicéntrico en pacientes con dolor que acuden a la farmacia comunitaria. Se usaron técnicas de agrupamiento no supervisado para detectar patrones en pacientes con dolor agudo y crónico, seguidas de análisis estadísticos y algoritmos supervisados para la predicción y evaluación del cuestionario. En base a estos hallazgos, se desarrolló una herramienta capaz de predecir la pertenencia de los distintos grupos identificados. Resultados: El análisis identificó 4 perfiles en dolor agudo y 5 en crónico, con el subgrupo 1 mostrando los peores resultados en ambos casos. El modelo de clasificación, para predecir nuevos datos, alcanzó una exactitud del 64.52 % en dolor agudo y 85.56 % en crónico con los datos disponibles. Conclusiones: Se identificaron cuatro perfiles de pacientes con dolor agudo y cinco con dolor crónico, lo que facilita la personalización del tratamiento. La farmacia comunitaria, por su accesibilidad, permite un seguimiento continuo, mejorando la adherencia, ajustando tratamientos y coordinando la atención sanitaria. La herramienta de clasificación permitirá analizar a los pacientes mediante variables psicométricas, mejorando el manejo del dolor. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Farmacéuticos Comunitarios is the property of Sociedad Espanola de Farmacia Familiar y Comunitaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=lth&AN=189117633 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.33620/FC.2173-9218.(2025).29 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 24 StartPage: 41 Subjects: – SubjectFull: CHRONIC pain Type: general – SubjectFull: CLUSTERING algorithms Type: general – SubjectFull: MEDICAL needs assessment Type: general – SubjectFull: PHYSICIAN practice patterns Type: general – SubjectFull: MEDICAL care use Type: general – SubjectFull: PAIN management Type: general – SubjectFull: PAIN measurement Type: general – SubjectFull: DRUGSTORES Type: general Titles: – TitleFull: Creación de perfiles y herramienta de detección de pacientes con dolor. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Morcuende Campos, Álvaro – PersonEntity: Name: NameFull: Reyes Estévez, Daniel – PersonEntity: Name: NameFull: González Rodríguez, Alicia – PersonEntity: Name: NameFull: Córcoles Ferrándiz, María Edelmira – PersonEntity: Name: NameFull: Merencio Naudin, Eloi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18858619 Numbering: – Type: volume Value: 17 – Type: issue Value: 4 Titles: – TitleFull: Farmacéuticos Comunitarios Type: main |
| ResultId | 1 |
