TY - GEN
T1 - Impact of Gender on Doctor-Patient Communication and Emotion
T2 - 6th IEEE International Symposium on Systems Engineering, ISSE 2020
AU - Choudhury, Avishek
AU - Elkefi, Safa
AU - Asan, Onur
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/12
Y1 - 2020/10/12
N2 - Doctor-patient communication is one of the essential precursors of patient-centered care. The quality of this communication is influenced by several factors, including providers' communication style and the use of existing technologies. In our previous studies, we measured the impact of health information technology on doctor-patient communication. In this study, we used sentiment analysis to understand the impact of doctor-patient gender dyads on verbal communication. The findings showed a noticeable difference in the communication pattern between the same (concordance) and opposite gender dyads (discordance). The findings of this study also indicate that male doctors tend to talk more and in detail with their patients (p= 0.01 for gender concordance; p=0.01 during gender discordance) than female doctors did with their patients (p=0.33 for gender concordance; p=0.41 during gender discordance), irrespective of doctor-patient gender dyads. No significant differences were observed in doctor-patient sentiments and emotions. However, we observed more trust in gender concordance (20.9% 17.6% of the time). In contrast, gender discordance resulted in more sadness (15.5% 19.8% of the time), anticipation (17.3%), and joy (16.1% of the time). In conclusion, our study indicates that gender influences doctor-patient verbal communication. Further research with larger sample size is required to thoroughly understand the role of gender in overall healthcare communication.
AB - Doctor-patient communication is one of the essential precursors of patient-centered care. The quality of this communication is influenced by several factors, including providers' communication style and the use of existing technologies. In our previous studies, we measured the impact of health information technology on doctor-patient communication. In this study, we used sentiment analysis to understand the impact of doctor-patient gender dyads on verbal communication. The findings showed a noticeable difference in the communication pattern between the same (concordance) and opposite gender dyads (discordance). The findings of this study also indicate that male doctors tend to talk more and in detail with their patients (p= 0.01 for gender concordance; p=0.01 during gender discordance) than female doctors did with their patients (p=0.33 for gender concordance; p=0.41 during gender discordance), irrespective of doctor-patient gender dyads. No significant differences were observed in doctor-patient sentiments and emotions. However, we observed more trust in gender concordance (20.9% 17.6% of the time). In contrast, gender discordance resulted in more sadness (15.5% 19.8% of the time), anticipation (17.3%), and joy (16.1% of the time). In conclusion, our study indicates that gender influences doctor-patient verbal communication. Further research with larger sample size is required to thoroughly understand the role of gender in overall healthcare communication.
KW - Gender dyads
KW - affective events theory
KW - communication accommodation theory
KW - doctor-patient communication
KW - electronic health record
KW - emotions
KW - gender concordance
KW - gender discordance
KW - natural language processing
KW - sentiment analysis
KW - text mining
UR - http://www.scopus.com/inward/record.url?scp=85098717645&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098717645&partnerID=8YFLogxK
U2 - 10.1109/ISSE49799.2020.9272228
DO - 10.1109/ISSE49799.2020.9272228
M3 - Conference contribution
AN - SCOPUS:85098717645
T3 - ISSE 2020 - 6th IEEE International Symposium on Systems Engineering, Proceedings
SP - 36DUMMY0
BT - ISSE 2020 - 6th IEEE International Symposium on Systems Engineering, Proceedings
Y2 - 12 October 2020 through 12 November 2020
ER -