TY - GEN
T1 - Relational Aspects in Patient-provider Interactions
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
AU - Zhu, Haining
AU - Moffa, Zachary J.
AU - Carroll, John M.
N1 - Funding Information:
The authors thank the U.S. National Science Foundation and acknowledge their grant support (#1502176).
Publisher Copyright:
© 2020 ACM.
PY - 2020/4/21
Y1 - 2020/4/21
N2 - Facial appearance is significant for everyday interactions, but hundreds of thousands of people have interactions negatively affected by facial paralysis (FP) annually. FP treatment utilizes multiple components and requires significant collaboration amongst multidisciplinary specialists and patients. Complex interactions in these contexts offer ample challenges for designers to technologically support healthcare providers in their processes. We conduct a formative case study, employing 20 clinic observations and 11 interviews, to investigate FP treatment workflow. We use cognitive authority theory (CAT) to understand relational factors in patient-provider collaboration. We then pinpoint structural and relational components of workflow challenges and discuss the utility of these distinctions; notably, we identify that patient adherence lapses caused by perceived plateaus may be primarily relational and caused by unmet expectations. Our work adds to patient-provider interaction literature and sheds light upon technology design for healthcare team contexts with significant patient obligations.
AB - Facial appearance is significant for everyday interactions, but hundreds of thousands of people have interactions negatively affected by facial paralysis (FP) annually. FP treatment utilizes multiple components and requires significant collaboration amongst multidisciplinary specialists and patients. Complex interactions in these contexts offer ample challenges for designers to technologically support healthcare providers in their processes. We conduct a formative case study, employing 20 clinic observations and 11 interviews, to investigate FP treatment workflow. We use cognitive authority theory (CAT) to understand relational factors in patient-provider collaboration. We then pinpoint structural and relational components of workflow challenges and discuss the utility of these distinctions; notably, we identify that patient adherence lapses caused by perceived plateaus may be primarily relational and caused by unmet expectations. Our work adds to patient-provider interaction literature and sheds light upon technology design for healthcare team contexts with significant patient obligations.
UR - http://www.scopus.com/inward/record.url?scp=85091286085&partnerID=8YFLogxK
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U2 - 10.1145/3313831.3376867
DO - 10.1145/3313831.3376867
M3 - Conference contribution
AN - SCOPUS:85091286085
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 25 April 2020 through 30 April 2020
ER -