The chicken and the egg: Clinical reasoning and uncertainty tolerance

Twelve tips for developing healthcare learners' uncertainty tolerance

BACKGROUND

Uncertainty is pervasive throughout healthcare practice. Uncertainty tolerance (i.e. adaptively responding to perceived uncertainty) is considered to benefit practitioner wellbeing, encourage person-centred care, and support judicious healthcare resource utilisation. Accordingly, uncertainty tolerance development is increasingly referenced within training frameworks. Practical approaches to support healthcare learners' uncertainty tolerance development, however, are lacking.

AIMS

Drawing on findings across the literature, and the authors' educational experiences, twelve tips for promoting healthcare learners' uncertainty tolerance were developed.

RESULTS

Tips are divided into 1. Tips for Learners, 2. Tips for Educators and Supervisors, and 3. Tips for Healthcare Education Institutions and Systems. Each tip summarises relevant research findings, alongside applications to educational practice.

CONCLUSIONS

Approaches to developing uncertainty tolerance balance factors supporting learners through uncertain experiences, with introducing challenges for learners to further develop uncertainty tolerance. These tips can reassure healthcare education stakeholders that developing learner uncertainty tolerance, alongside core knowledge, is achievable.

'I was uncertain, but I was acting on it': A longitudinal qualitative study of medical students' responses to uncertainty

PURPOSE

Uncertainty is ubiquitous within medical practice. Accordingly, how individuals respond to uncertainty, termed uncertainty tolerance (UT), is increasingly considered a medical graduate competency. Despite this, aspects of the UT construct are debated, which may relate to research focused on measuring UT, rather than understanding students' experiences. Therefore, we asked (1) how do medical students describe their responses to uncertainty, (2) how (if at all) do described responses change over time and (3) how do described responses contribute to understanding the UT construct.

METHODS

Engaging an interpretivist worldview, we conducted a longitudinal qualitative study throughout 2020 with 41 clinical medical students at an Australian medical school. Participants completed reflective diary entries across six in-semester time-points (n = 41, 40, 39, 38, 37 and 35) and semi-structured interviews at the end of both semesters (n = 20 per semester). We analysed data using framework analysis.

RESULTS

Although participants communicated accepting health care uncertainties, described cognitive appraisals of uncertainty ranged from threatening (e.g. challenging credibility) to opportunistic (e.g. for learning and growth). Emotions in response to uncertainty were predominately described in negative terms, including worry and anxiety. Participants described a range of maladaptive and adaptive behavioural responses, including avoiding versus actively engaging with uncertainty. Despite describing typically negative emotions across time, participants' cognitive and behavioural response descriptions shifted from self-doubt and avoidance, towards acceptance of, and engagement despite uncertainty.

CONCLUSIONS

Students' descriptions of responses to uncertainty suggest existing UT conceptualisations may not holistically reflect medical students' experiences of what it means to be uncertainty 'tolerant', especially pertaining to conceptualisations of 'tolerance' centred on emotions (e.g. stress) rather than how uncertainty is ultimately managed. Extending from this study, the field could consider redefining characteristics of uncertainty 'tolerance' to focus on adaptive cognitive and behavioural responses, rather than emotional responses as key indicators of 'tolerance'.

Hospital capacities and response to COVID-19 pandemic surges in Iran: A quantitative model-based study

The coronavirus 2019 (COVID-19) pandemic resulted in serious limitations for healthcare systems, and this study aimed to investigate the impact of COVID-19 surges on in-patient care capacities in Iran employing the Adaptt tool. Using a cross-sectional study design, our study was carried out in the year 2022 using 1-year epidemiologic (polymerase chain reaction-positive COVID-19 cases) and hospital capacity (beds and human resource) data from the official declaration of the pandemic in Iran in February 2020. We populated several scenarios, and in each scenario, a proportion of hospital capacity is assumed to be allocated to the COVID-19 patients. In most of the scenarios, no significant shortage was found in terms of bed and human resources. However, considering the need for treatment of non- COVID-19 cases, in one of the scenarios, it can be observed that during the peak period, the number of required and available specialists is exactly equal, which was a challenge during surge periods and resulted in extra hours of working and workforce burnout in hospitals. The shortage of intensive care unit beds and doctors specializing in internal medicine, infectious diseases, and anesthesiology also requires more attention for planning during the peak days of COVID-19.