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This randomised controlled trial will provide definitive answers to whether a 3D telemedicine system makes a remote consultation more similar to meeting a doctor face-to-face, than a 2D Telemedicine consultation. This will be measured using a "Presence" scale - which is a measure of the realism or immersion of the system - and is of key importance as preliminary data from the research team's feedback studies found that realism of a clinical consultation correlates strongly with patient satisfaction. Patient satisfaction is seen by many healthcare systems as primary evidence of efficacy of treatment and as a strong determinant of overall health outcomes. Further outcome measures in this trial will assess patient satisfaction, usability, and mental effort.
Full description
Sample Size Sample sizes were calculated using data from the research team's feedback study of 23 patients performed in 2020-21. For the primary outcome (Single Item Presence Score) at Alpha 0.05 and power 80% a sample size of 9 per group would be required. For the secondary outcome (Telehealth Usability Questionnaire) at Alpha 0.05 and power 80% a sample size of 40 per group would be required. The study will be powered to allow us to assess both primary and secondary outcomes with a between subjects design. Total recruitment will be 80 patients. Given that there is no follow up required by patients and therefore no expected loss to recruitment during the study period, the total recruitment will be the same as the sample size at 80 patients.
Patient Identification Patients will be recruited consecutively from the plastic surgery clinics at the Canniesburn Plastic Surgery Unit, from the sarcoma, plastic surgery and orthoplastic clinics under the care of the PI.
Setting The patient will attend the West Glasgow Ambulatory Care Hospital, Glasgow for the Telemedicine clinic. The clinician will be at a remote location at the Canniesburn Plastic Surgery Outpatient clinic, at Glasgow Royal Infirmary.
Randomisation Process Randomisation will be to 3D or 2D Telemedicine system first. Randomisation will be blocked randomisation of unknown length, generated by computer and held remotely by a password protected system. The research team will collect the randomisation order when the patient attends for the study, once they have completed the consent forms for this study.
Patient Flow in Telemedicine Clinic The patient will be reviewed by the clinician in allocated Telemedicine system 1 for 10 minutes. They will then be reviewed on the same day by the same clinician with Telemedicine system 2 for 10 minutes. The clinician involved will be a Consultant, Training Grade Doctor, Physiotherapist or Nurse Specialist from the Canniesburn Regional Plastic Surgery Unit. A number of clinicians (6 in total) will be used to reduce potential for bias that may arise from using a single consulting clinician. They will be fully trained in the use of the system and the research protocol. The clinical consultation will be standardized between the two systems, to minimize bias. The questions and anatomical areas from the first consultation will be recorded by the clinician using a study Proforma, and used in the second consultation. The patient will subsequently fill in the study questionnaire and complete the exit interview. The patient then requires no further participation in the study.
Data Analysis Statistical analysis will be by independent review by the University of Strathclyde, with results blinded for group allocation.
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Inclusion criteria
Patients who have undergone a plastic surgery procedure including:
Patients able to read and understand English
Patients able to give informed consent
Exclusion criteria
Patients not meeting the inclusion criteria
Patients who do not have capacity to consent
Patients who are registered blind or deaf
Patients undergoing minor operations only including:
Patients with perineal reconstruction given the sensitive area of examination
Primary purpose
Allocation
Interventional model
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80 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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