Browsing by Author "Torres, Calia A."

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    Effect of a perspective-taking intervention on the consideration of pain assessment and treatment decisions
    (Dove Medical Press, 2015) Wandner, Laura D.; Torres, Calia A.; Bartley, Emily J.; George, Steven Z.; Robinson, Michael E.; University of Florida; University of Alabama Tuscaloosa
    Objectives: Pain is often poorly managed, highlighting the need to better understand and treat patients' pain. Research suggests that pain is assessed and treated differently depending on patient sex, race, and/or age. Perspective-taking, whereby one envisions the perspective of another, has been found to reduce racial disparities in pain management. This study used virtual human (VH) technology to examine whether a perspective-taking intervention impacts pain management decisions. Methods: Ninety-six participants were randomized to an online treatment or control group and viewed 16 video clips of VHs with standardized levels of pain. Participants provided ratings on the VHs' pain intensity and their willingness to administer opioids to them. The intervention group received a brief perspective-taking intervention that consisted of having participants imagine how the patient's suffering could affect his/her life, whereas the control group was asked to wait for the next VH videos to load. A LENS model analysis was used to investigate both group level (nomothetic) and individual level (idiographic) decision policies. A LENS model of analysis is typically used as an analog method for capturing how groups of people and individuals use information in their environment to form judgments. Results: Nomothetic results found that participants rated pain higher and were more likely to prescribe opioids to VHs postintervention, irrespective of group. Idiographic results, however, found that the use of cues to make pain management decisions was mitigated by the perspective-taking group. The participants in the perspective-taking group were more likely to think about pain and the patients' perspective during the intervention, while control participants were more likely to reflect on the VHs' sex, race, or age. Conclusion: A brief intervention may alter participants' pain management decisions. These results indicate that a brief intervention might be an initial step toward aligning observers' pain management ratings with those of the patient. Future research is needed to replicate findings in a health care population.
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    Using Virtual Human Technology to Provide Immediate Feedback About Participants' Use of Demographic Cues and Knowledge of Their Cue Use
    (Churchill Livingstone, 2014) Wandner, Laura D.; Letzen, Janelle E.; Torres, Calia A.; Lok, Benjamin; Robinson, Michael E.; University of Florida; University of Alabama Tuscaloosa
    Demographic characteristics have been found to influence pain management decisions, but limited focus has been placed on participants' reactions to feedback about their use of sex, race, or age to make these decisions. The present study aimed to examine the effects of providing feedback about the use of demographic cues to participants making pain management decisions. Participants (N = 107) viewed 32 virtual human patients with standardized levels of pain and provided ratings for virtual humans' pain intensity and their treatment decisions. Real-time lens model idiographic analyses determined participants' decision policies based on cues used. Participants were subsequently informed about cue use and completed feedback questions. Frequency analyses were conducted on responses to these questions. Between 7.4 and 89.4% of participants indicated awareness of their use of demographic or pain expression cues. Of those individuals, 26.9 to 55.5% believed this awareness would change their future clinical decisions, and 66.6 to 75.9% endorsed that their attitudes affect their imagined clinical practice. Between 66.6 and 79.1% of participants who used cues reported willingness to complete an online tutorial about pain across demographic groups. This study was novel because it provided participants feedback about their cue use. Most participants who used cues indicated willingness to participate in an online intervention, suggesting this technology's utility for modifying biases. Perspective: This is the first study to make individuals aware of whether a virtual human's sex, race, or age influences their decision making. Findings suggest that a majority of the individuals who were made aware of their use of demographic cues would be willing to participate in an online intervention. (C) 2014 by the American Pain Society