This study aims to involve the public, patients and National Health Service (NHS) staff in co-designing a scalable, inclusive and sustainable implementation model for ophthalmic remote consultation with vision self-testing (the intervention). The main study questions are:
What are the barriers to uptake of the intervention and how can these be mitigated by the design of the implementation model.
How do implementation outcome measures compare before and after real world application of the model.
Patients 4 years and older scheduled by their clinician for a follow up remote eye clinic consultation following an initial face-to face consultation.
None
patients will reflect the diversity of the eye clinic population in terms of gender, age, social deprivation, ethnicity and sub-specialty eye condition.
Case-only
Prospective
online questionnaires
Other interventionBefore and after online questionnaires
Change in patient reported perceived attributes of e-health innovation score
Change in the perceived attributes of e-health innovation score before and after experiencing remote consultation and self-testing of vision. This questionnaire results in a summated score for each patient with a minimum of 0 and a maximum of 100. Change in overall score before and after the remote consultation will be calculated for each patient and a mean change in score calculated. A higher magnitude positive change in score reflects an improved perception of the technology after the experience.
Change in staff reported normalisation measure of the technology (NoMAD) score
Change in the NoMAD score before and after implementation of the remote consultation and self-testing of vision.This questionnaire results in a summated score for each patient with a minimum of 0 and a maximum of 100. Change in overall score before and after service implementation the remote consultation will be calculated for each member of staff and a mean change in score calculated. A higher magnitude positive change in score reflects improved normalisation and acceptance of the technology after implementation.
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Cambridge University Hospitals NHS Foundation Trust
Lead sponsor
Manchester University NHS Foundation Trust
Collaborator
University of East Anglia
Collaborator
National Institute for Health Research, United Kingdom
Collaborator
