Does Surgical Robot Know What It’s Doing? Understanding Patient Fear and Anxiety

Abstract

Robot-assisted surgery (RAS) is a fast-emerging area of medicine that offers numerous benefits compared to conventional open surgery. Nevertheless, certain patients may encounter fear and anxiety over robot-assisted surgery as a result of several circumstances. This study sought to examine the underlying factors contributing to fear and anxiety in patients who underwent robot-assisted surgery and to propose implications to alleviate such emotions. The study used a qualitative research design, collecting data via 25 semi-structured interviews with individuals who have undergone RAS for various ailments. The interviews were transcribed and examined using text analysis techniques. The primary factors contributing to fear and anxiety encompass a lack of knowledge and understanding regarding RAS, uncertainty about the outcome of surgery, loss of control, and exposure to strange instruments(robots). The data analysis revealed five primary themes: robot-assisted procedures, robotic arms, smaller incisions and recovery time, idea of technology role, and cutting edge. This study provides practical and valuable information about the adoption of robot-assisted surgery in surgical encounters. This study deepens our understanding of the factors that contribute to fear and anxiety resulting from interactions with surgical robots, while also broadening the scope of research on surgical robots. The healthcare providers can perform preoperative psychological evaluations to identify patients with a heightened susceptibility to anxiety and fear. Moreover, providing psychological assistance or therapy, and instructing patients on relaxation techniques and mindfulness practices help them to effectively cope with anxiety prior to and following surgical procedures.

Keywords:

• Robot-assisted surgery
• patients emotions
• fear
• anxiety
• surgical encounters

Ethics statements

The data does not involve any biological or scientific experiments. Participation in the research was voluntary and the respondents were briefed clearly about the study and its significance.

Author contribution

K. Mohamed Jasim: Conceptualization, Methodology, Writing – review & editing, Supervision, Validation.; A. Malathi: Conceptualization, Methodology, Visualization, Data curation, Formal analysis, Investigation, Writing – original draft.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

K. Mohamed Jasim

K. Mohamed Jasim is working as an Assistant Professor at VIT Business School, Vellore Institute of Technology, Vellore, India. His expertise lies in the areas of Marketing Analytics and Digital Marketing. His research areas are technology-driven psychology and consumer cognitive thinking in e-commerce, hospitality, tourism, healthcare and agricultural technology.

A. Malathi

A. Malathi pursuing her Full Time, PhD at VIT Business School, Vellore Institute of Technology, Vellore, India. Her teaching interest includes retail management, branding, consumer behaviour, healthcare marketing and marketing research. Her research interests are Healthcare Marketing, Patient Experience, Service Robots and AI in healthcare.