Workshops in Sustainable Healthcare to Assess How Teaching Can Aid Core Principle Implementation

A research participant will be either a health professional of any denomination based at the Liverpool University Hospitals Foundation Trust (LUHFT) or a medical/allied healthcare student based at the University of Liverpool, Liverpool John Moores or Edge Hill.

They will be granted access to an online consent form through formal distribution through the Trust/Medical School and through posters placed around the Trust. This will inform them about the project's intentions and what may happen to their data during the course of the project, thus allowing them to opt-in to the project as needed.

The study design itself is that of a cohort study with subsequent quantitative and qualitative analysis of various descriptive features of the participant cohort. Specifically, we will assess participant baselines - their rates of exposure to sustainability principles in healthcare between their different specialties, their knowledge of quality improvement methodology and experience in its application - in addition to their confidence in the understanding of sustainability principles in healthcare, as well as their confidence in their ability to apply it to clinical scenarios. This is in line with the 4-point Kirkpatrick model for training evaluation, covering reaction, learning, behaviour and results.

Our null hypothesis is that there will be no significant difference in confidence applying sustainable healthcare principles in clinical practice after the workshop based teaching versus before, as well as no significant difference in rates of exposure between specialties or knowledge of quality improvement methodology.

The study itself will be conducted over a two-session period in late September through to early October across 18/09/23 to 16/10/23, lasting ideally no longer than three to four weeks (pending site availability for study rooms). It will be split into an education session conducted in a hybrid manner, whereby QI methodology and its relationship to sustainability is taught through didactic lectures to a combined in person and online audience. Participants will then be encouraged to create their own sustainable QI project plan using this methodology, and then would attend an expert-led set of workshops (hybrid, online and in person) where breakout groups from the initial cohort are assigned experts (volunteers from or beyond the Trust with expertise in sustainable healthcare, attending in person or online depending on availability) to have their work critiqued formally and to discuss implementation techniques for the idea in clinical practice. Using pre-determined mark schemes created by the PI, the team will also receive input from the trainers themselves to ascertain student engagement with the teaching, the viability of their created projects and extent to which they successfully implemented the core taught principles in their project designs.

This will be preceded by a month's worth of recruitment from 07/08/23 ending on 04/09/23 by which potential participants will be able to access the aforementioned consent form either online through formally provided links or the posters, thus being able to opt-in to the project. Researcher bias will be avoided through unbiased recruitment, not conducted directly by the researchers but by intermediaries so as to not choose individuals that may already have experience, for example. Participants will be given the choice as to whether to opt in the research. There is no limit on the upper sample size of the cohort, though for the purposes of efficient and worthwhile breakout rooms for the experts, a minimum sample of 20 would be required (approximately 10 students and 10 healthcare professionals employed by LUHFT). This should be sufficient for the descriptive analyses required from a statistical perspective.

Statistical analysis will be conducted in a mixed manner assessing frequencies, associations and qualitative themes. Cronbach's alpha will be used to assess internal consistency and reliability of the pre and post session questionnaires. Differences between students' pre- and post-session scores will be analysed using chi-squared tests. Qualitative data will be coded into themes relating to outcomes, processes, and suggestions for improvement, facilitated by NVivo13 software. Statistical theory has been discussed with a senior statistician prior to its inclusion on these forms.