The aim of the feasibility study is to make a fully informed decision about whether fertiShare should proceed to efficacy evaluation. This aim will be achieved by resolving uncertainties about implementing fertiShare at fertility clinics and about running an online multi-centre efficacy RCT for fertiShare.
Design: Pre-registered, online, multi-centre, two-arm, triple-blinded (staff, patients, data analysts), feasibility RCT with 1:1 computer-generated randomized allocation to the intervention (fertiShare) or minimal SBN information control (20 mins SBN lecture emulating what most staff would receive as part of general training) groups.
The trial will include a process evaluation and adopt a pragmatic attitude to maximise the applicability of findings to fertility care practice (beyond the immediate trial setting). Examples of design choices that translate this pragmatic attitude are our choice of the control condition (emulating general SBN training that most staff will have), the inclusion of multiple staff and patient secondary trial outcomes (informed by stakeholders) and low standardisation of intervention delivery (staff will apply fertiShare as they think best). Criteria for progression to efficacy evaluation will be specified prior to implementation using a traffic-light system.
Setting: Six UK-based private and public fertility clinics.
Participants: Staff working at clinics whose role involves 10% of week time SBN. Exclusion criteria are being unable to undergo training.
Patient inclusion criteria are having received bad news from participating staff within last month. No exclusion criteria are applied.
Bad news is defined as any news meaning that patients' first or second complete (fresh and frozen embryo transfers) initiated In Vitro Fertilization cycle did not result in a clinical pregnancy, as this is the most common challenging bad news shared by staff, and to ensure that patient outcome data (specifically continuation data) are comparable.
Guidance for feasibility studies to estimate participation rates, based on review of evidence from RCTs conducted within SBN training and fertility care, indicates 75% of staff will be eligible and participate, but a conservative estimate of 50% will be considered to decrease unknown risk. Recruiting 60 staff (10 per clinic) will allow to calculate a 50% participation rate to 95%CI of ±11%. 52% of patients will be eligible and participate. Recruiting 180 patients per cohort (30 per clinic) will allow to calculate a 60% participation rate to 95%CI of ±6%.