Public Perceptions Toward Robotic Surgery, Telesurgery and Telemedicine

December 31, 2025 updated by: Ling Zhan, Shanghai 6th People's Hospital

Public Awareness, Trust, and Risk Perception Toward Robotic Surgery, Telesurgery and Telemedicine

This study aims to systematically assess the public's and clinicians' levels of awareness, attitudes, risk perception, acceptance, and potential concerns regarding robotic surgery and telesurgery. It also analyzes the key factors influencing their attitudes and explores the needs of physicians regarding training systems for robotic and telesurgery, as well as the factors affecting their preparedness.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

Public level:

  • Level of awareness and understanding of robotic and remote surgery (e.g., understanding of operating procedures, the doctor's role, and potential risks).
  • Perceptions and concerns regarding the safety, reliability, cybersecurity risks, and equipment malfunctions of the technology.
  • Trust and acceptance of the technology, and factors that may influence attitudes (e.g., education level, past medical experiences, access to medical resources).
  • Overall expectations and concerns regarding hospitals performing such surgeries.

Healthcare practitioners level:

  • Knowledge level, attitudes, and acceptance of robotic and remote surgery.
  • Views on the learning curve, surgical safety, equipment accessibility, collaborative processes, and potential obstacles.
  • Understanding and actual needs regarding training systems for robotic and remote surgery, including simulator training, mentorship programs, skill evaluation methods, and the transfer of laparoscopic skills to robotic skills.

Study Type

Observational

Enrollment (Estimated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Shanghai Municipality
      • Shanghai, Shanghai Municipality, China, 200233
        • Recruiting
        • Shanghai sixth people's hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The general public sample included residents of mainland China aged 18 and older who were able to understand and complete the questionnaire, regardless of gender, region, or occupation. The aim was to assess the general public's awareness, risk perception, trust, and acceptance of robotic surgery and remote surgery. The clinical physician sample included practicing physicians from surgical specialties (such as general surgery, urology, gynecology, thoracic surgery, thyroid surgery, etc.), including residents, attending physicians, and chief/deputy chief physicians of different seniority levels.

Description

Inclusion Criteria:

  • Chinese citizens aged 18 years or older
  • Able to understand and complete the questionnaire
  • Voluntarily participating in this study and providing informed consent

Exclusion Criteria:

  • Aged below 18 years
  • Unable to understand the questionnaire or unable to complete the questionnaire independently
  • Those who submit the questionnaire repeatedly

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Public group
The general public sample included residents of mainland China aged 18 and older who were able to understand and complete the questionnaire, regardless of gender, region, or occupation. The aim was to assess the general public's awareness, risk perception, trust, and acceptance of robotic surgery and remote surgery.
Anonymous online questionnaire assessing public and physician perceptions of robotic surgery, telesurgery and telemedicine
Physician group
The clinical physician sample included practicing physicians from surgical specialties (such as general surgery, urology, gynecology, thoracic surgery, thyroid surgery, etc.), including residents, attending physicians, and chief/deputy chief physicians of different seniority levels. This group of physicians was used to assess healthcare professionals' awareness, experience, perceived risks, expectations for future applications of robotic and remote surgery, as well as their views on training needs, feasibility, and barriers to training.
Anonymous online questionnaire assessing public and physician perceptions of robotic surgery, telesurgery and telemedicine

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Public acceptance of robotic surgery
Time Frame: Baseline
The level of acceptance toward robotic surgery among the general public, measured using a 5-point Likert scale assessing willingness to receive robotic-assisted procedures under hypothetical clinical scenarios. Higher scores indicate greater acceptance.
Baseline
Public acceptance of telesurgery and telemedicine
Time Frame: Baseline
The degree of acceptance of telesurgery among the general public, assessed via a validated questionnaire evaluating willingness to undergo remote surgery, perceived safety, and perceived reliability of network-based surgical systems.
Baseline
Public perceived risk of robotic and telesurgery
Time Frame: Baseline
Perceived risk associated with robotic surgery and telesurgery, including concerns about device malfunction, network failure, surgical autonomy, and responsibility attribution, assessed using a multi-item Likert scale. Higher scores indicate higher perceived risk.
Baseline
Physicians' training needs score (assessed by self-designed questionnaire)
Time Frame: Baseline
This measure assesses physicians' perceived training needs regarding required skills (e.g., simulation, console operation) and preferred modalities (e.g., online courses, wet labs). Participants rate items on a 5-point Likert scale (1=Not needed, 5=Highly needed).
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Ling Zhan, Dr, Shanghai 6th People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2024

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

January 27, 2025

First Submitted That Met QC Criteria

January 27, 2025

First Posted (Actual)

January 31, 2025

Study Record Updates

Last Update Posted (Estimated)

January 2, 2026

Last Update Submitted That Met QC Criteria

December 31, 2025

Last Verified

December 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

Data are available on request due to privacy or other restrictions. The data that support the findings of this study are available on request from Ling Zhan. The data are not publicly available due to them containing information that could compromise research participant privacy.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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