Understanding Bias in Hospital Communication: A STUDY PROPOSAL OF OPERATOR BIAS TOWARDS HISPANIC CALLERS

Main Article Content

Zachary Jones
https://orcid.org/0000-0003-0065-6969

Abstract

Within the realm of healthcare, hospital switchboard operators occupy a crucial position as the initial point of contact for individuals seeking medical assistance. As the demographic landscape of the United States continues to evolve, ensuring equitable treatment and unbiased communication with callers, irrespective of their background, emerges as a pressing concern. This Literature review and proposed study would examine potential implicit biases among hospital switchboard operators, specifically focusing on their interactions with Hispanic callers. Employing the Implicit Association Test (IAT), this study would aim to uncover any subtle biases inherent in operator interactions.

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How to Cite
Jones, Z. (2024). Understanding Bias in Hospital Communication: : A STUDY PROPOSAL OF OPERATOR BIAS TOWARDS HISPANIC CALLERS. Journal of Student Research at Indiana University East, 6(2). Retrieved from https://scholarworks.iu.edu/journals/index.php/jsriue/article/view/38005
Section
Social Sciences

References

Reference:

Brener, S. et al. "A Cyclical Model of Barriers to Healthcare for the Hispanic/Latinx Population." J Racial Ethn Health Disparities, 2023, doi:10.1007/s40615-023-01587-5.

Burgess, Diana J. et al. "Mindfulness Practice: A Promising Approach to Reducing the Effects of Clinician Implicit Bias on Patients." Patient Education and Counseling, vol. 100, no. 2, 2017, pp. 372-76, doi:https://doi.org/10.1016/j.pec.2016.09.005.

Carpenter, Thomas P. et al. "Survey-Software Implicit Association Tests: A Methodological and Empirical Analysis." Behavior Research Methods, vol. 51, no. 5, 2019, pp. 2194-208, doi:10.3758/s13428-019-01293-3.

FitzGerald, Chloƫ et al. "Interventions Designed to Reduce Implicit Prejudices and Implicit Stereotypes in Real World Contexts: A Systematic Review." BMC Psychology, vol. 7, no. 1, 2019, p. 29, doi:10.1186/s40359-019-0299-7.

Greenwald, A. G. et al. "Statistically Small Effects of the Implicit Association Test Can Have Societally Large Effects." J Pers Soc Psychol, vol. 108, no. 4, 2015, pp. 553-61, doi:10.1037/pspa0000016.

Greenwald, A. G. et al. "Implicit-Bias Remedies: Treating Discriminatory Bias as a Public-Health Problem." Psychol Sci Public Interest, vol. 23, no. 1, 2022, pp. 7-40, doi:10.1177/15291006211070781.

Greenwald, A. G. et al. "Understanding and Using the Implicit Association Test: I. An Improved Scoring Algorithm." J Pers Soc Psychol, vol. 85, no. 2, 2003, pp. 197-216, doi:10.1037/0022-3514.85.2.197.

Hall, W. J. et al. "Implicit Racial/Ethnic Bias among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review." Am J Public Health, vol. 105, no. 12, 2015, pp. e60-76, doi:10.2105/ajph.2015.302903.

Kelson, M. et al. "Improving Patient Satisfaction in the Hispanic American Community." Cureus, vol. 14, no. 8, 2022, p. e27739, doi:10.7759/cureus.27739.

Maina, I. W. et al. "A Decade of Studying Implicit Racial/Ethnic Bias in Healthcare Providers Using the Implicit Association Test." Soc Sci Med, vol. 199, 2018, pp. 219-29, doi:10.1016/j.socscimed.2017.05.009.

Vela, M. B. et al. "Eliminating Explicit and Implicit Biases in Health Care: Evidence and Research Needs." Annu Rev Public Health, vol. 43, 2022, pp. 477-501, doi:10.1146/annurev-publhealth-052620-103528.