Understanding gender bias toward physicians using online doctor reviews

Ali, M. R., Sen, T., Nguyen, V. D., Hoque, M. E., Epstein, R. M., Rawassizadeh, R., & Duberstein, P. R. (2019). What computers can teach us about doctor-patient communication: Leveraging gender differences in cancer care. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1–7). Institute of Electrical and Electronics Engineers.10.1109/ACII.2019.8925471 Search in Google Scholar

Bertakis, K. D., Helms, L. J., Callahan, E. J., Azari, R., & Robbins, J. A. (1995). The influence of gender on physician practice style. Medical Care, 33(4), 407–416. https://doi.org/10.1097/00005650-199504000-0000710.1097/00005650-199504000-00007 Search in Google Scholar

Bigler, R. S., & Leaper, C. (2015). Gendered language: Psychological principles, evolving practices, and inclusive policies. Policy Insights from the Behavioral and Brain Sciences, 2(1), 187–194. https://doi.org/10.1177/237273221560045210.1177/2372732215600452 Search in Google Scholar

Boyd, R. L., Blackburn, K. G., & Pennebaker, J. W. (2020). The narrative arc: Revealing core narrative structures through text analysis. Science Advances, 6(32), eaba2196. https://www.science.org/doi/10.1126/sciadv.aba219610.1126/sciadv.aba2196 Search in Google Scholar

Buchanan E., Gillenwaters A., Scofield J., & Valentine K. (2019). MOTE: Measure of the Effect: Package to assist in effect size, calculations, and their confidence intervals. R package version 1.0.2. https://cran.r-project.org/web/packages/MOTE/MOTE.pdf Search in Google Scholar

Cammel, S. A., De Vos, M. S., van Soest, D., Hettne, A. M., Boer, F., Steyerberg, E. W., & Boosman, H. (2020). How to automatically turn patient experience free-text responses into actionable insights: A natural language programming (NLP) approach. BMC Medical Informatics and Decision Making, 20, 97. https://doi.org/10.1186/s12911-020-1104-510.1186/s12911-020-1104-5 Search in Google Scholar

Canty, A., Ripley, B. (2019). Boot: Bootstrap R (S-Plus) Functions. R package version 1.3-22. https://cran.r-project.org/web/packages/boot/index.html Search in Google Scholar

Derose, K. P., Hays, R. D., McCaffrey, D. F., & Bakerg, D. W. (2001). Does physician gender affect satisfaction of men and women visiting the emergency department? Journal of General Internal Medicine, 16(4), 218–226. https://doi.org/10.1046/j.1525-1497.2001.016004218.x10.1046/j.1525-1497.2001.016004218.x Search in Google Scholar

Dzogang, F., Lightman, S., & Cristianini, N. (2018). Diurnal variations of psychometric indicators in Twitter content. PloS One, 13(6), e0197002. https://doi.org/10.1371/journal.pone.019700210.1371/journal.pone.0197002 Search in Google Scholar

Falkenstein, A., Tran, B., Ludi, D., Molkara, A., Nguyen, H., Tabuenca, A., & Sweeny, K. (2016). Characteristics and correlates of word use in physician-patient communication. Annals of Behavioral Medicine, 50(5), 664–677. https://doi.org/10.1007/s12160-016-9792-x10.1007/s12160-016-9792-x Search in Google Scholar

Götz, F., Gosling, S., & Rentfrow, J. (2022). Small effects: The indispensable foundation for a cumulative psychological science. Perspectives on Psychological Science, 17(1), 205–215. https://doi.org/10.1177/174569162098448310.1177/1745691620984483 Search in Google Scholar

Hall, J. A., Blanch-Hartigan, D., & Roter, D. L. (2011). Patients’ satisfaction with male versus female physicians: A meta-analysis. Medical Care, 49(7), 611–617. https://doi.org/10.1097/MLR.0b013e318213c03f10.1097/MLR.0b013e318213c03f Search in Google Scholar

Hall, J. A., Irish, J. T., Roter, D. L., Ehrlich, C. M., & Miller, L. H. (1994). Gender in medical encounters: An analysis of physician and patient communication in a primary care setting. Health Psychology, 13(5), 384–392. https://doi.org/10.1037/0278-6133.13.5.38410.1037/0278-6133.13.5.384 Search in Google Scholar

Hamberg, K., Risberg, G., Johansson, E. E., & Westman, G. (2002). Gender bias in physicians’ management of neck pain: A study of the answers in a Swedish national examination. Journal of Eomen’s Health & Gender-Based Medicine, 11(7), 653–666. https://doi.org/10.1089/15246090276036059510.1089/152460902760360595 Search in Google Scholar

Kaiser, R. B., & Wallace, W. T. (2016). Gender bias and substantive differences in ratings of leadership behavior: Toward a new narrative. Consulting Psychology Journal: Practice and Research, 68(1), 72–98. https://doi.org/10.1037/cpb000005910.1037/cpb0000059 Search in Google Scholar

Kovanović, V., Joksimović, S., Mirriahi, N., Blaine, E., Gašević, D., Siemens, G., & Dawson, S. (2018, March). Understand students’ self-reflections through learning analytics. In Proceedings of the 8th international conference on learning analytics and knowledge (pp. 389–398). https://doi.org/10.1145/3170358.317037410.1145/3170358.3170374 Search in Google Scholar

Lewiss, R. E., & Jagsi, R. (2021). Gender bias: Another rising curve to flatten? Academic Medicine, 96(6), 792–794. https://doi.org/10.1097/ACM.000000000000398710.1097/ACM.0000000000003987 Search in Google Scholar

Marrero, K., King, E., & Fingeret, A. L. (2020). Impact of surgeon gender on online physician reviews. The Journal of Surgical Research, 245, 510–515. https://doi.org/10.1016/j.jss.2019.07.04710.1016/j.jss.2019.07.047 Search in Google Scholar

Morgan, R., Hawkins, K., & Lundine, J. (2018). The foundation and consequences of gender bias in grant peer review processes. Canadian Medical Association Journal, 190(16), E487–E488. https://doi.org/10.1503/cmaj.18018810.1503/cmaj.180188 Search in Google Scholar

Pennebaker, J. W., Boyd, R., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. University of Texas at Austin. https://repositories.lib.utexas.edu/handle/2152/31333 Search in Google Scholar

Pennebaker, J. W., Chung, C. K., Frazee, J., Lavergne, G. M., & Beaver, D. I. (2014). When small words foretell academic success: The case of college admissions essays. PloS One, 9(12), e115844. https://doi.org/10.1371/journal.pone.011584410.1371/journal.pone.0115844 Search in Google Scholar

Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., & R Core Team (2019). nlme: Linear and nonlinear mixed effects models. R package version 3.1-140. https://cran.r-project.org/web/packages/nlme/nlme.pdf Search in Google Scholar

du Prel, J. B., Hommel, G., Röhrig, B., & Blettner, M. (2009). Confidence interval or p-value? Part 4 of a series on evaluation of scientific publications. Deutsches Arzteblatt International, 106(19), 335–339. https://doi.org/10.3238/arztebl.2009.033510.3238/arztebl.2009.0335 Search in Google Scholar

Primbs, M., Pennington, C. R., Lakens, D., Silan, M. A., Lieck, D., Forscher, P. S., ... & Westwood, S. (2021). There are no ‘small’or ‘large’effects: A Reply to Götz et al. (2021). PsyArXiv. https://doi.org/10.31234/osf.io/6s8bj10.31234/osf.io/6s8bj Search in Google Scholar

Risberg, G., Johansson, E. E. & Hamberg, K. (2009). A theoretical model for analysing gender bias in medicine. International Journal for Equity in Health, 8, 28. https://doi.org/10.1186/1475-9276-8-2810.1186/1475-9276-8-28 Search in Google Scholar

Robinson, G. E. (2003). Stresses on women physicians: consequences and coping techniques. Depression and Anxiety, 17(3), 180–189. https://doi.org/10.1002/da.1006910.1002/da.10069 Search in Google Scholar

Roter, D. L., Hall, J. A., & Aoki, Y. (2002). Physician gender effects in medical communication: A meta-analytic review. JAMA, 288(6), 756–764. https://doi.org/10.1001/jama.288.6.75610.1001/jama.288.6.756 Search in Google Scholar

Salles, A. (2019, July 23). Gender bias narratives in medicine. Physician’s Weekly. https://www.physiciansweekly.com/gender-bias-narratives-in-medicine Search in Google Scholar

Sandhu, H., Adams, A., Singleton, L., Clark-Carter, D., & Kidd, J. (2009). The impact of gender dyads on doctor-patient communication: A systematic review. Patient Education and Counseling, 76(3), 348–355. https://doi.org/10.1016/j.pec.2009.07.01010.1016/j.pec.2009.07.010 Search in Google Scholar

Schmidt, H. C. (2017). Forgotten athletes and token reporters: Analyzing the gender bias in sports journalism. Atlantic Journal of Communication, 26(1), 59–74. https://doi.org/10.1080/15456870.2018.139801410.1080/15456870.2018.1398014 Search in Google Scholar

Seraj, S., Blackburn, K. G., & Pennebaker, J. W. (2021). Language left behind on social media exposes the emotional and cognitive costs of a romantic breakup. Proceedings of the National Academy of Sciences, 118(7), e2017154118. https://doi.org/10.1073/pnas.201715411810.1073/pnas.2017154118 Search in Google Scholar

Shikhar S. (2020). Multi-aspect-sentiment-classification-for-online-medical-reviews [Data set]. GitHub. https://github.com/Shikhar-S/Multi-Aspect-Sentiment-Classification-for-Online-Medical-Reviews/ Search in Google Scholar

Sonawane, S. (2017). Ratings predictor [Data set]. GitHub. https://github.com/turbosantosh/MLReviewsToRatings Search in Google Scholar

Sen, T., Ali, M. R., Hoque, M. E., Epstein, R., & Duberstein, P. (2017). Modeling doctor-patient communication with affective text analysis. In 2017 seventh international conference on affective computing and intelligent interaction (ACII) (pp. 170–177). IEEE. https://doi.org/10.1109/ACII.2017.8273596.10.1109/ACII.2017.8273596 Search in Google Scholar

Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. https://doi.org/10.1177/0261927X0935167610.1177/0261927X09351676 Search in Google Scholar

Whitley, B. E., Kite, M. E., & Adams, H. L. (2013). Principles of research in behavioral science (3rd ed.). Routledge. https://doi.org/10.4324/978020308521910.4324/9780203085219 Search in Google Scholar

Yip, A. (2018). Deuce or advantage? Examining gender bias in online coverage of professional tennis. International Review for the Sociology of Sport, 53(5), 517–532. https://doi.org/10.1177/101269021667102010.1177/1012690216671020 Search in Google Scholar

Zhao, Y., Guo, Y., He, X., Wu, Y., Yang, X., Prosperi, M., Jin, Y., & Bian, J. (2020). Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics Journal, 26(2), 765–786. https://doi.org/10.1177/146045821983962110.1177/1460458219839621 Search in Google Scholar