HCP views about implementing a risk assessment tool in cataract v1.0
Research type
Research Study
Full title
HEALTHCARE PROFESSIONALS' VIEWS ABOUT IMPLEMENTING A RISK STRATIFICATION TOOL AIMED AT REDUCING COMPLICATIONS ON THE DAY OF CATARACT SURGERY
IRAS ID
200649
Contact name
Sadie Wickwar
Contact email
Sponsor organisation
City University
Clinicaltrials.gov Identifier
MSc/15-16/23, City University School Research Ethics Committe
Duration of Study in the UK
0 years, 7 months, 3 days
Research summary
Evidence suggests that complications faced on the day of cataract surgery, leading to surgery being cancelled, could be reduced if vital information is considered during the decision-making process with patients before surgery. Surgical risk assessment tools aim to identify any potential medical risks related to patients at the time of listing them for surgery, for example the presence of other eye conditions, or being over the age of 90 years old, that could cause complications during surgery. This allows booking teams to allocate the right surgeon to carry out the procedure. Such tools have been recommended by the Department of Health (DoH) in other medical contexts, including cardiac surgery, and have successfully reduced instances of complications on the day of surgery. Despite being recommended, risk assessment tools for cataract surgery are not routinely completed by healthcare professionals at Moorfields Eye Hospital, and surgical procedures continue to be cancelled on the day. No previous study has explored the views of eye doctors completing these risk stratification tools for cataract surgery.
This study will involve interviews with thirteen healthcare professionals responsible for listing patients for cataract surgery at Moorfields @ Bedford Outreach Eye Clinic. Using an interview topic guide, the researcher will explore beliefs of healthcare professionals about what could help them fill in such tools in the future. The Theoretical Domains Framework (TDF) provides some ideas about which behaviour change theories could be applied to the interview data to help us understand what stops healthcare professionals completing the forms, and what would help them do so. The TDF will therefore be used to code and analyse the interviews.
The results of this study will allow researchers to make the relevant improvements to surgical decision aids and the process of risk assessing patients before surgery in the future, thus reducing cancellations on the day.
REC name
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REC reference
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