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Cut points on 0-10 numeric rating scales for symptoms included in the Edmonton Symptom Assessment Scale in cancer patients: a systematic review.
- Source :
-
Journal of pain and symptom management [J Pain Symptom Manage] 2013 Jun; Vol. 45 (6), pp. 1083-93. Date of Electronic Publication: 2012 Sep 25. - Publication Year :
- 2013
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Abstract
- Context: To improve the management of cancer-related symptoms, systematic screening is necessary, often performed by using 0-10 numeric rating scales. Cut points are used to determine if scores represent clinically relevant burden.<br />Objectives: The aim of this systematic review was to explore the evidence on cut points for the symptoms of the Edmonton Symptom Assessment Scale.<br />Methods: Relevant literature was searched in PubMed, CINAHL®, Embase, and PsycINFO®. We defined a cut point as the lower bound of the scores representing moderate or severe burden.<br />Results: Eighteen articles were eligible for this review. Cut points were determined using the interference with daily life, another symptom-related method, or a verbal scale. For pain, cut point 5 and, to a lesser extent, cut point 7 were found as the optimal cut points for moderate pain and severe pain, respectively. For moderate tiredness, the best cut point seemed to be cut point 4. For severe tiredness, both cut points 7 and 8 were suggested frequently. A lack of evidence exists for nausea, depression, anxiety, drowsiness, appetite, well-being, and shortness of breath. Few studies suggested a cut point below 4.<br />Conclusion: For many symptoms, there is no clear evidence as to what the optimal cut points are. In daily clinical practice, a symptom score ≥4 is recommended as a trigger for a more comprehensive symptom assessment. Until there is more evidence on the optimal cut points, we should hold back using a certain cut point in quality indicators and be cautious about strongly recommending a certain cut point in guidelines.<br /> (Copyright © 2013 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Pain Measurement statistics & numerical data
Prevalence
Reproducibility of Results
Sensitivity and Specificity
Surveys and Questionnaires
Symptom Assessment statistics & numerical data
Neoplasms diagnosis
Neoplasms epidemiology
Pain diagnosis
Pain epidemiology
Pain Measurement methods
Severity of Illness Index
Symptom Assessment methods
Subjects
Details
- Language :
- English
- ISSN :
- 1873-6513
- Volume :
- 45
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Journal of pain and symptom management
- Publication Type :
- Academic Journal
- Accession number :
- 23017617
- Full Text :
- https://doi.org/10.1016/j.jpainsymman.2012.06.007