The influence of patient race, sex, pain-related body postures, and anxiety status on pain management: A virtual human technology investigation
Journal of Pain Research Sep 09, 2019
Clark J, et al. - Using innovative virtual human technology to capture decision-making approaches at both the group- and individual-level, researchers sought to better illustrate how psychological factors, demographic cues, and pain-related body postures affect pain assessment and treatment decisions. Separate, empirically validated virtual human profiles that systematically varied across pain behaviors, anxiety status, race, and sex were presented to 132 providers and trainees in the areas of nursing, physical therapy, and medicine. Participants used a visual analog scale for each virtual human profile to provide pain assessment and treatment ratings. As per idiographic analyses, use of patient pain-related body postures was most consistent and was identified as reliable among participants across ratings. This innovative study supports that pain management decisions with virtual human technology and a Lens model design are influenced by patient pain-related body postures, anxiety status, and demographic characteristics.
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