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The influence of patient's sex, race and depression on clinician pain treatment decisions
Author(s) -
Hirsh A.T.,
Hollingshead N.A.,
Bair M.J.,
Matthias M.S.,
Wu J.,
Kroenke K.
Publication year - 2013
Publication title -
european journal of pain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.305
H-Index - 109
eISSN - 1532-2149
pISSN - 1090-3801
DOI - 10.1002/j.1532-2149.2013.00355.x
Subject(s) - depression (economics) , specialty , race (biology) , referral , medicine , chronic pain , psychological intervention , mental health , observational study , mood , physical therapy , clinical psychology , psychiatry , family medicine , botany , biology , economics , macroeconomics
Background Pain treatments often vary across patients' demographic and mental health characteristics. Most research on this topic has been observational, has focused on opioid therapy exclusively and has not examined individual differences in clinician decision making. The current study examined the influence of patient's sex, race and depression on clinicians' chronic pain treatment decisions. Methods We used virtual human technology and lens model methodology to enhance study realism and facilitate a richer understanding of treatment decisions. Clinicians and trainees ( n = 100) made treatment decisions (opioid, antidepressant, pain specialty referral, mental health referral) for 16 computer‐simulated patients with chronic low back pain. Patients' sex, race and depression status were manipulated across vignettes (image and text). Results Individual‐ and group‐level analyses indicated that patient's depression status had the strongest and most consistent influence on treatment decisions. Although less influential overall, patient's sex and race were significantly influential for a subset of participants. Furthermore, the results indicated that participants who were influenced by patient's race had less experience in treating chronic pain than those who were not influenced by patient's race [ t (11.59) = 4.75; p = 0.001; d = 1.20]. Conclusions The results of this study indicated considerable variability in participants' chronic pain treatment decisions. These data suggest that interventions to reduce variability in treatment decision making and improve pain care should be individually tailored according to clinicians' decision profiles.