Doctors should be quite cautious while assessing self-reporting of pain by patients, new study says.
There are many chronic illnesses and injuries that have no well-defined symptoms other than pain, but because of the subjectivity in a patient's reporting of their experience of the illness or injury, healthcare workers have difficulty in addressing the patient's needs. Moreover, when subjective reporting of pain is a critical component of a clinical trial, researchers involved in the trial often find it difficult to determine efficacy from patient to patient based on the subject's own evaluation of painful symptoms.
Commonly, patients are asked to rate their pain on a zero to ten scale, where zero represents no pain whatsoever and a value of ten indicates excruciating pain. Unfortunately, one person's g8 may be another's g10 on the same scale.
Now, Sean Murphy of Washington State University, in Spokane, Washington, USA, and colleagues have USA, have borrowed economics theory to compare the conventional binary 'pain no-pain' measure of treatment success commonly used in practice and in clinical trials with a new approach to modeling pain that allows for more 'fuzzy' reporting of pain by precluding certain aspects of bias inherent in such a subjective assessment. They have then investigated how common is misclassification and how it can influence outcomes.
Their findings suggest that the chance that a typical patient misclassifies their perceived pain ranges from about 3 percent (for patients who mistakenly think they do not improve, but actually do) to about 14 percent (for patients who think they improve, but actually do not improve). As such, health outcomes researchers, practitioners and policy makers must use caution when relying solely on self-reported pain reductions as a gauge of therapy effectiveness. The team points out that their exploratory research requires follow-up work to further confirm the findings.
The paper, 'A cautionary note on the use of perceived pain scores in health outcomes research,' has been published in the International Journal of Behavioural and Healthcare Research.