Literature DB >> 20832987

A multicenter study comparing two numerical versions of the Edmonton Symptom Assessment System in palliative care patients.

Sharon M Watanabe1, Cheryl Nekolaichuk, Crystal Beaumont, Laureen Johnson, Jeff Myers, Florian Strasser.   

Abstract

CONTEXT: The Edmonton Symptom Assessment System (ESAS) is a widely used, self-report symptom intensity tool for assessing nine common symptoms in palliative care, with ratings ranging from 0 (none, best) to 10 (worst). Based on a "think-aloud" study of 20 advanced cancer patients, the ESAS was revised (ESAS-r).
OBJECTIVES: To compare the consistency of patients' symptom ratings and obtain patient perspectives regarding ease of understanding and completion between the ESAS and ESAS-r.
METHODS: Cognitively intact patients (n=160) were recruited from eight palliative care sites in Canada and Switzerland, using cross-sectional sampling (20 per site). Consenting patients completed the ESAS, ESAS-r, and a structured interview. Intraclass correlation coefficients (ICCs) were calculated to assess rating consistency.
RESULTS: In total, 1046 patients were screened. One hundred sixty were enrolled and evaluable (female 51%, median age 61 [range 34-92], lung cancer 26%, gastrointestinal cancer 22%). Mean ESAS scores ranged from 1.2 (nausea, standard deviation [SD] 2.1) to 4.3 (appetite, SD 3.3). ICCs ranged from 0.65 to 0.83, with lowest scores (<0.8) for drowsiness, appetite, and well-being. Although most patients rated both versions as very easy or easy to understand and complete, the ESAS-r was significantly easier to understand than the ESAS (P=0.008). Significantly, more patients preferred the ESAS-r (39%) than the ESAS (14%, P<0.001) because of its definitions, clarity, and format.
CONCLUSION: The ESAS-r retains core elements of the ESAS, with improved interpretation and clarity of symptom intensity assessment. It represents the next generation of ESAS development, with further validation recommended for drowsiness, appetite, and well-being.
Copyright © 2011 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2010        PMID: 20832987     DOI: 10.1016/j.jpainsymman.2010.04.020

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  72 in total

1.  Health care providers' use and knowledge of the Edmonton Symptom Assessment System (ESAS): is there a need to improve information and training?

Authors:  Daniela Carli Buttenschoen; Jarad Stephan; Sharon Watanabe; Cheryl Nekolaichuk
Journal:  Support Care Cancer       Date:  2013-09-13       Impact factor: 3.603

Review 2.  The Edmonton Symptom Assessment System 25 Years Later: Past, Present, and Future Developments.

Authors:  David Hui; Eduardo Bruera
Journal:  J Pain Symptom Manage       Date:  2016-12-29       Impact factor: 3.612

3.  Potentially Avoidable Hospital Readmissions in Patients With Advanced Cancer.

Authors:  P Connor Johnson; Yian Xiao; Risa L Wong; Sara D'Arpino; Samantha M C Moran; Daniel E Lage; Brandon Temel; Margaret Ruddy; Lara N Traeger; Joseph A Greer; Ephraim P Hochberg; Jennifer S Temel; Areej El-Jawahri; Ryan D Nipp
Journal:  J Oncol Pract       Date:  2019-04-04       Impact factor: 3.840

4.  Congruence of multiple patient-related outcomes within a single day.

Authors:  Peter A S Johnstone; Hailey W Bulls; Jun-Min Zhou; Jae K Lee; Diane Portman; Hsiang-Hsuan Michael Yu; Heather Jim
Journal:  Support Care Cancer       Date:  2018-08-01       Impact factor: 3.603

5.  Frequency, Timing, and Predictors of Palliative Care Consultation in Patients with Advanced Cancer at a Tertiary Cancer Center: Secondary Analysis of Routinely Collected Health Data.

Authors:  Sharon M Watanabe; Viane Faily; Asifa Mawani; Ann Huot; Yoko Tarumi; Alexei Potapov; Konrad Fassbender; Alysa Fairchild; Anil A Joy; Karen M King; Wilson Roa; Christopher P Venner; Vickie E Baracos
Journal:  Oncologist       Date:  2020-06-09

6.  Factors associated with receipt of symptom screening in the year after cancer diagnosis in a universal health care system: a retrospective cohort study.

Authors:  A L Mahar; L E Davis; L D Bubis; Q Li; R Sutradhar; N G Coburn; L Barbera
Journal:  Curr Oncol       Date:  2019-02-01       Impact factor: 3.677

7.  Feasibility and acceptability of a collaborative care intervention to improve symptoms and quality of life in chronic heart failure: mixed methods pilot trial.

Authors:  David B Bekelman; Stephanie Hooker; Carolyn T Nowels; Deborah S Main; Paula Meek; Connor McBryde; Brack Hattler; Karl A Lorenz; Paul A Heidenreich
Journal:  J Palliat Med       Date:  2013-12-11       Impact factor: 2.947

8.  Patient-reported outcomes in Alberta: rationale, scope, and design of a database initiative.

Authors:  C A Cuthbert; L Watson; Y Xu; D J Boyne; B R Hemmelgarn; W Y Cheung
Journal:  Curr Oncol       Date:  2019-08-01       Impact factor: 3.677

Review 9.  Approach to advanced heart failure at the end of life.

Authors:  Leah Steinberg; Meghan White; Jennifer Arvanitis; Amna Husain; Susanna Mak
Journal:  Can Fam Physician       Date:  2017-09       Impact factor: 3.275

10.  A Pan-Canadian practice guideline: prevention, screening, assessment, and treatment of sleep disturbances in adults with cancer.

Authors:  Doris Howell; Thomas K Oliver; Sue Keller-Olaman; Judith Davidson; Sheila Garland; Charles Samuels; Josée Savard; Cheryl Harris; Michèle Aubin; Karin Olson; Jonathan Sussman; James Macfarlane; Claudette Taylor
Journal:  Support Care Cancer       Date:  2013-05-25       Impact factor: 3.603

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