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Utilising an Accelerated Delphi Process to Develop Guidance and Protocols for Telepresence Applications in Remote Robotic Surgery Training.
Collins, Justin W; Ghazi, Ahmed; Stoyanov, Danail; Hung, Andrew; Coleman, Mark; Cecil, Tom; Ericsson, Anders; Anvari, Mehran; Wang, Yulun; Beaulieu, Yanick; Haram, Nadine; Sridhar, Ashwin; Marescaux, Jacques; Diana, Michele; Marcus, Hani J; Levy, Jeffrey; Dasgupta, Prokar; Stefanidis, Dimitrios; Martino, Martin; Feins, Richard; Patel, Vipul; Slack, Mark; Satava, Richard M; Kelly, John D.
  • Collins JW; Division of Surgery and Interventional Science, Research Department of Targeted Intervention, University College London, London, UK.
  • Ghazi A; Department of Uro-Oncology, University College London Hospital, London, UK.
  • Stoyanov D; Wellcome/ESPRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Hung A; University of Rochester Medical Center, Rochester, NY, USA.
  • Coleman M; Wellcome/ESPRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Cecil T; Keck School of Medicine of USC, Los Angeles, CA, USA.
  • Ericsson A; Plymouth Hospitals NHS Trust, Plymouth, UK.
  • Anvari M; Hampshire Hospitals NHS Foundation Trust, Hampshire, UK.
  • Wang Y; Department of Psychology, Florida State University, Tallahassee, FL, USA.
  • Beaulieu Y; Department of Surgery, St. Joseph's Healthcare, McMaster University, Hamilton, Ontario, Canada.
  • Haram N; InTouch Health, Santa Barbara, CA, USA.
  • Sridhar A; Division of Cardiology and Critical Care, Sacré-Coeur Hospital, University of Montreal, Montreal, Quebec, Canada.
  • Marescaux J; Department of Plastic Surgery, Royal Free London NHS Foundation Trust, London, UK.
  • Diana M; Division of Surgery and Interventional Science, Research Department of Targeted Intervention, University College London, London, UK.
  • Marcus HJ; Department of Uro-Oncology, University College London Hospital, London, UK.
  • Levy J; IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France.
  • Dasgupta P; IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France.
  • Stefanidis D; Wellcome/ESPRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Martino M; Institute for Surgical Excellence, Philadelphia, PA, USA.
  • Feins R; MRC Centre for Transplantation, Kings College London, London, UK.
  • Patel V; Indiana University School of Medicine, Indianapolis, IN, USA.
  • Slack M; University of Southern Florida, Tampa, FL, USA.
  • Satava RM; Division of C Surgery, University of North Carolina, Chapel Hill, NC, USA.
  • Kelly JD; Global Robotics Institute, Celebration, FL, USA.
Eur Urol Open Sci ; 22: 23-33, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-912192
ABSTRACT
CONTEXT The role of robot-assisted surgery continues to expand at a time when trainers and proctors have travel restrictions during the coronavirus disease 2019 (COVID-19) pandemic.

OBJECTIVE:

To provide guidance on setting up and running an optimised telementoring service that can be integrated into current validated curricula. We define a standardised approach to training candidates in skill acquisition via telepresence technologies. We aim to describe an approach based on the current evidence and available technologies, and define the key elements within optimised telepresence services, by seeking consensus from an expert committee comprising key opinion leaders in training. EVIDENCE ACQUISITION This project was carried out in phases a systematic review of the current literature, a teleconference meeting, and then an initial survey were conducted based on the current evidence and expert opinion, and sent to the committee. Twenty-four experts in training, including clinicians, academics, and industry, contributed to the Delphi process. An accelerated Delphi process underwent three rounds and was completed within 72 h. Additions to the second- and third-round surveys were formulated based on the answers and comments from the previous rounds. Consensus opinion was defined as ≥80% agreement. EVIDENCE

SYNTHESIS:

There was 100% consensus regarding an urgent need for international agreement on guidance for optimised telepresence. Consensus was reached in multiple areas, including (1) infrastructure and functionality; (2) definitions and terminology; (3) protocols for training, communication, and safety issues; and (4) accountability including ethical and legal issues. The resulting formulated guidance showed good internal consistency among experts, with a Cronbach alpha of 0.90.

CONCLUSIONS:

Using the Delphi methodology, we achieved international consensus among experts for development and content validation of optimised telepresence services for robotic surgery training. This guidance lays the foundation for launching telepresence services in robotic surgery. This guidance will require further validation. PATIENT

SUMMARY:

Owing to travel restrictions during the coronavirus disease 2019 (COVID-19) pandemic, development of remote training and support via telemedicine is becoming increasingly important. We report a key opinion leader consensus view on a standardised approach to telepresence.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: Eur Urol Open Sci Year: 2020 Document Type: Article Affiliation country: J.euros.2020.09.005

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: Eur Urol Open Sci Year: 2020 Document Type: Article Affiliation country: J.euros.2020.09.005