Combined cancer patient-reported symptom and health utility tool for routine clinical implementation: a real-world comparison of the ESAS and EQ-5D in multiple cancer sites.


Journal

Current oncology (Toronto, Ont.)
ISSN: 1718-7729
Titre abrégé: Curr Oncol
Pays: Switzerland
ID NLM: 9502503

Informations de publication

Date de publication:
12 2019
Historique:
entrez: 4 1 2020
pubmed: 4 1 2020
medline: 17 7 2020
Statut: ppublish

Résumé

We assessed whether the presence and severity of common cancer symptoms are associated with the health utility score (hus) generated from the EQ-5D (EuroQol Research Foundation, Rotterdam, Netherlands) in patients with cancer and evaluated whether it is possible pragmatically to integrate routine hus and symptom evaluation in our cancer population. Adult outpatients at Princess Margaret Cancer Centre with any cancer were surveyed cross-sectionally using the Edmonton Symptom Assessment System (esas) and the EQ-5D-3L, and results were compared using Spearman correlation coefficients and regression analyses. Of 764 patients analyzed, 27% had incurable disease. We observed mild-to-moderate correlations between each esas symptom score and the hus (Spearman coefficients: -0.204 to -0.416; The hus derived from the EQ-5D-3L is associated with all major cancer symptoms as captured by the esas. The esas scores alone could not predict EQ-5D scores with high accuracy. However, esas-derived questions assessing the same domains as the EQ-5D-3L questions could be mapped to their corresponding EQ-5D questions to generate the hus, with high correlation to the directly measured hus. That finding suggests a potential approach to integrating routine symptom and hus evaluations after confirmatory studies.

Sections du résumé

Background
We assessed whether the presence and severity of common cancer symptoms are associated with the health utility score (hus) generated from the EQ-5D (EuroQol Research Foundation, Rotterdam, Netherlands) in patients with cancer and evaluated whether it is possible pragmatically to integrate routine hus and symptom evaluation in our cancer population.
Methods
Adult outpatients at Princess Margaret Cancer Centre with any cancer were surveyed cross-sectionally using the Edmonton Symptom Assessment System (esas) and the EQ-5D-3L, and results were compared using Spearman correlation coefficients and regression analyses.
Results
Of 764 patients analyzed, 27% had incurable disease. We observed mild-to-moderate correlations between each esas symptom score and the hus (Spearman coefficients: -0.204 to -0.416;
Conclusions
The hus derived from the EQ-5D-3L is associated with all major cancer symptoms as captured by the esas. The esas scores alone could not predict EQ-5D scores with high accuracy. However, esas-derived questions assessing the same domains as the EQ-5D-3L questions could be mapped to their corresponding EQ-5D questions to generate the hus, with high correlation to the directly measured hus. That finding suggests a potential approach to integrating routine symptom and hus evaluations after confirmatory studies.

Identifiants

pubmed: 31896943
doi: 10.3747/co.26.5297
pii: conc-26-e733
pmc: PMC6927786
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e733-e741

Informations de copyright

2019 Multimed Inc.

Déclaration de conflit d'intérêts

CONFLICT OF INTEREST DISCLOSURES We have read and understood Current Oncology’s policy on disclosing conflicts of interest, and we declare that we have none.

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Auteurs

M Moskovitz (M)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.

K Jao (K)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
Hôpital du Sacré-Coeur, McGill University, Montreal, QC.

J Su (J)

Department of Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.

M C Brown (MC)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.

H Naik (H)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
Department of Medicine, University of British Columbia, Vancouver, BC.

L Eng (L)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.

T Wang (T)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
Faculty of Pharmacy, University of Toronto, Toronto, ON.

J Kuo (J)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.

Y Leung (Y)

Supportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.

W Xu (W)

Department of Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.

N Mittmann (N)

Cancer Care Ontario, Toronto, ON.
Odette Cancer Centre, University of Toronto, Toronto, ON.

L Moody (L)

Cancer Care Ontario, Toronto, ON.

L Barbera (L)

Cancer Care Ontario, Toronto, ON.
Odette Cancer Centre, University of Toronto, Toronto, ON.

G Devins (G)

Supportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
Department of Psychiatry, University of Toronto, Toronto, ON.

M Li (M)

Supportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.

D Howell (D)

Supportive Care, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON.
Lawrence Bloomberg School of Nursing, University of Toronto, Toronto, ON.

G Liu (G)

Medical Oncology and Hematology, Princess Margaret Cancer Centre, and Department of Medicine, University of Toronto, Toronto, ON.
Department of Epidemiology, Dalla Lana School of Public Health, Department of Medical Biophysics, and Institute of Medical Science, University of Toronto, Toronto, ON.

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Classifications MeSH