Innovation Adoption in Medical Robotic Surgery: Case of Royal Bournemouth Hospital

NCT03684746 | Completed

• 1 other identifier: 1718/IRASMSE/1
• Study Type: observational
• Target: 35
• Locations: 1 country
• Sites: 1

Brief Summary

This research sets to address two key areas. The first is identified by the researcher in academic literature that there is a lack of a comprehensive innovation adoption model in UK National Health System (NHS), specifically for Medical Robotic Surgery. Existing frameworks are mainly developed in the US or in other fields. The second problem was identified by surgeons involved in Robotic Surgery in Royal Bournemouth Hospital (RBH). The project started by offering RBH a deeper understanding of the innovation adoption process, issues and development of an adapted innovation model, however after our initial meeting with the Surgical Director and his team, it was clear that one the main areas RBH was keen for us to investigate, was the communication pathway of all stakeholders involved in robotic surgery adoption. They were concerned that key staff dealing with patients undergoing medical robotic surgery were uninformed about the technology and process which can impact patients' experience and staff communication. The research will develop a comprehensive innovation adoption model for robotic surgery (and similar medical innovation) in NHS. Currently there are no models adapted to NHS UK structure and requirements. This model will assist the NHS to understand and evaluate any innovation adoption process within the NHS and to avoid future innovation adoption failure. The case example will Identify the communication pathway and key stakeholders in RBH for the process of Gastrointestinal Robotic Surgery, evaluation of stakeholders' knowledge and needs and further proposing ways to improve adoption and increase knowledge. NHS can use the proposed communication pathway to identify stakeholders that need to be informed, trained and communicated to, in any innovation adoption process within NHS.

Conditions

Staff Attitude

Outcome Measures

Primary Outcomes (1)

• Surgical Innovation Framework

  To develop a 'Surgical Innovation Framework' through discussion with surgeons, medical experts and staff at the research site. This framework would then be of use to other medical/surgical areas within the NHS, as there is currently no model adapted to the NHS' needs and requirements. The research will increase knowledge and enable better communication.

  6 months

Study Arms (2)

Medial Experts

Including doctors- surgeons - consultants

Other: No Intervention

Care specialist

including nurses - before/after care staff

Other: No Intervention

Interventions

No Intervention OTHER

It is an observational Study with staff

Care specialist; Medial Experts

Eligibility Criteria

• Age: Up to 90 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Medical experts and hospital staff involved directly on indirectly in Robotic Surgery at the NHS site - these individuals will have the necessary knowledge to contribute to this study.

You may qualify if:

• Being involved with conducting Robotic Surgery or caring for patients undergoing Robotic Surgery

You may not qualify if:

• As this study is recruiting staff, and there is no medical intervention, the eligibility criteria is basic.

Sponsors & Collaborators

• Bournemouth University: lead
• Royal Bournemouth Hospital: collaborator

Study Sites (1)

Royal Bournemouth Hospital

Bournemouth, United Kingdom

Location

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 29, 2018
• First Posted: September 26, 2018
• Study Start: July 11, 2018
• Primary Completion: July 31, 2019
• Study Completion: July 31, 2019
• Last Updated: July 10, 2020

Record last verified: 2020-07

Data Sharing

• IPD Sharing: Will not share

Locations

GB (1)