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Browsing by Author "Lok, Benjamin C."
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Item The Influence of Health Care Professional Characteristics on Pain Management Decisions(Oxford Academic, 2015-01) Bartley, Emily J.; Boissoneault, Jeff; Vargovich, Alison M.; Wandner PhD, Laura D.; Hirsh, Adam T.; Lok, Benjamin C.; Heft, Marc W.; Robinson, Michael E.; Psychology, School of ScienceObjective Evidence suggests that patient characteristics such as sex, race, and age influence the pain management decisions of health care providers. Although this signifies that patient demographics may be important determinants of health care decisions, pain-related care also may be impacted by the personal characteristics of the health care practitioner. However, the extent to which health care provider characteristics affect pain management decisions is unclear, underscoring the need for further research in this area. Methods A total of 154 health care providers (77 physicians, 77 dentists) viewed video vignettes of virtual human (VH) patients varying in sex, race, and age. Practitioners provided computerized ratings of VH patients’ pain intensity and unpleasantness, and also reported their willingness to prescribe non-opioid and opioid analgesics for each patient. Practitioner sex, race, age, and duration of professional experience were included as predictors to determine their impact on pain management decisions. Results When assessing and treating pain, practitioner sex, race, age, and duration of experience were all significantly associated with pain management decisions. Further, the role of these characteristics differed across VH patient sex, race, and age. Conclusions These findings suggest that pain assessment and treatment decisions may be impacted by the health care providers’ demographic characteristics, effects which may contribute to pain management disparities. Future research is warranted to determine whether findings replicate in other health care disciplines and medical conditions, and identify other practitioner characteristics (e.g., culture) that may affect pain management decisions.Item A randomized controlled trial testing a virtual perspective-taking intervention to reduce race and socioeconomic status disparities in pain care(Wolters Kluwer, 2019-10-01) Hirsh, Adam T.; Miller, Megan M.; Hollingshead, Nicole A.; Anastas, Tracy; Carnell, Stephanie T.; Lok, Benjamin C.; Chu, Chenghao; Zhang, Ying; Robinson, Michael E.; Kroenke, Kurt; Ashburn-Nardo, Leslie; Psychology, School of ScienceWe conducted a randomized controlled trial of an individually-tailored, virtual perspective-taking intervention to reduce race and socioeconomic (SES) disparities in providers’ pain treatment decisions. Physician residents and fellows (n=436) were recruited from across the United States for this two-part online study. Providers first completed a bias assessment task in which they made treatment decisions for virtual patients with chronic pain who varied by race (Black/White) and SES (low/high). Providers who demonstrated a treatment bias were randomized to the intervention or control group. The intervention consisted of personalized feedback about their bias, real-time dynamic interactions with virtual patients, and videos depicting how pain impacts the patients’ lives. Treatment bias was re-assessed one week later. Compared to the control group, providers who received the tailored intervention had 85% lower odds of demonstrating a treatment bias against Black patients and 76% lower odds of demonstrating a treatment bias against low SES patients at follow-up. Providers who received the intervention for racial bias also showed increased compassion for patients compared to providers in the control condition. Group differences did not emerge for provider comfort in treating patients. Results suggest an online intervention that is tailored to providers according to their individual treatment biases, delivers feedback about these biases, and provides opportunities for increased contact with Black and low SES patients, can produce substantial changes in providers’ treatment decisions, resulting in more equitable pain care. Future studies should examine how these effects translate to real-world patient care, and the optimal timing/dose of the intervention.