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Medication Risks and Their Association with Patient-Reported Outcomes in Inpatients with Cancer.
Günther, Maximilian; Schuler, Markus; Hentschel, Leopold; Salm, Hanna; Schmitz, Marie-Therese; Jaehde, Ulrich.
Afiliação
  • Günther M; Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, 53121 Bonn, Germany.
  • Schuler M; Onkologischer Schwerpunkt am Oskar-Helene-Heim, 14195 Berlin, Germany.
  • Hentschel L; Division of Hematology, Oncology and Stem Cell Transplantation, Medical Clinic I, Department of Medicine I, University Hospital Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany.
  • Salm H; Division of Hematology, Oncology and Stem Cell Transplantation, Medical Clinic I, Department of Medicine I, University Hospital Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany.
  • Schmitz MT; Klinik und Poliklinik für Innere Medizin C, Universitätsmedizin Greifswald, 17489 Greifswald, Germany.
  • Jaehde U; Sarcoma Center Berlin-Brandenburg, Helios Hospital Bad Saarow, 15526 Bad Saarow, Germany.
Cancers (Basel) ; 16(11)2024 May 31.
Article em En | MEDLINE | ID: mdl-38893228
ABSTRACT

BACKGROUND:

We aimed to assess medication risks and determine factors influencing the health-related quality of life (HRQOL) in cancer inpatients.

METHODS:

A retrospective analysis was conducted to identify drug-related problems (DRPs) based on medication reviews, including patient-reported outcomes (PROs). Multiple linear regression analyses were performed to identify sociodemographic, disease-related, and drug therapy-related factors influencing changes from hospital admission to discharge in the scales of the EORTC QLQ-C30 questionnaire.

RESULTS:

A total of 162 inpatients with various hematological and solid cancer diseases was analyzed. Patients received a mean of 11.6 drugs and 92.6% of patients exhibited polymedication resulting in a mean of 4.0 DRPs per patient. Based on PRO data, 21.5% of DRPs were identified. Multiple linear regression models described the variance of the changes in global HRQOL and physical function in a weak-to-moderate way. While drug therapy-related factors had no influence, relapse status and duration of hospital stay were identified as significant covariates for global HRQOL and physical function, respectively.

CONCLUSION:

This analysis describes underlying DRPs in a German cancer inpatient population. PROs provided valuable information for performing medication reviews. The multiple linear regression models for global HRQOL and physical function provided explanations for changes during hospital stay.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cancers (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Cancers (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha