COVID-19-related uncertainty: fertility staff experiences of its sources, processing, responses, and consequences

What are fertility staff experiences of managing COVID-19-related uncertainty after fertility clinics re-opened? Staff identified many COVID-19-related uncertainty sources, the main being the COVID-19 health threat, to which most clinics and staff responded effectively by implementing safety protocols and building strong collaborative environments that facilitated the acquisition and application of information to guide organizational responses during a rapidly changing situation, but with costs for staff and patients. COVID-19 created significant disruption in fertility care delivery, including temporary clinic closure and treatment delay. Patients experienced significant distress, including concerns regarding the impact of COVID-19 and its vaccine on fertility and pregnancy. Multiple studies show that COVID-19-related uncertainty is a major threat and burden for healthcare staff, but this has not been investigated in reproductive medicine. A cross-sectional, online mixed-method bilingual (English, Spanish) survey (active 25 January-23 May 2021) was distributed to fertility staff across the UK, Latin America, and Africa. Eligibility criteria were being a healthcare worker at a fertility clinic that had re-opened since its COVID-19-related closure, 18 years of age or older and ability to respond in English or Spanish. The survey was created in English, translated to Spanish, made available using Qualtrics, and consisted of four parts: (i) background and physical and mental wellbeing, (ii) open-ended questions regarding COVID-19 uncertainty, (iii) appraisal items regarding perceptions and impact of uncertainty, and (iv) changes in the workplace. The British Fertility Society and the African Network and Registry of Assisted Reproduction circulated the survey across the UK and Africa via email hyperlinks and social media platforms. The Argentinian Society of Reproductive Medicine and the Latin American Network of Assisted Reproduction distributed the survey across Latin America in the same manner. Thematic analysis was performed on responses from open-ended question to produce basic codes. Deductive coding grouped sub-themes across questions into themes related to the theory of uncertainty management. Descriptive statistics and repeated measures analysis of variance were used on the quantitative data. In total, 382 staff consented to the survey, 107 did not complete (28% attrition), and 275 completed. Sixty-three percent were women, 69% were physicians, and 79