IntroductionThe unprecedented COVID-19 pandemic has exposed healthcare professionals (HCPs) to exceptional situations that can lead to increased anxiety (ie, infection anxiety and perceived vulnerability), traumatic stress and depression. We will investigate the development of these psychological disturbances in HCPs at the treatment front line and second line during the COVID-19 pandemic over a 12-month period in different countries. Additionally, we will explore whether personal resilience factors and a work-related sense of coherence influence the development of mental health problems in HCPs.Methods and analysisWe plan to carry out a sequential qualitative–quantitative mixed-methods design study. The quantitative phase consists of a longitudinal online survey based on six validated questionnaires, to be completed at three points in time. A qualitative analysis will follow at the end of the pandemic to comprise at least nine semistructured interviews. The a priori sample size for the survey will be a minimum of 160 participants, which we will extend to 400, to compensate for dropout. Recruitment into the study will be through personal invitations and the ‘snowballing’ sampling technique. Hierarchical linear regression combined with qualitative data analysis, will facilitate greater understanding of any associations between resilience and mental health issues in HCPs during pandemics.Ethics and disseminationThe study participants will provide electronic informed consent. All recorded data will be stored on a secured research server at the study site, which will only be accessible to the investigators. The Bern Cantonal Ethics Committee has waiv ed the need for ethical approval (Req-2020–00355, 1 April 2020). There are no ethical, legal or security issues regarding the data collection, processing, storage and dissemination in this project.Trial registration numberISRCTN13694948.
Abstract. There is a growing interest in embitterment as psychological concept. However, little systematic research has been conducted to characterize this emotional reaction. Still, there is an ongoing debate about the distinctiveness of embitterment and its dimensions. Additionally, a categorical and a dimensional perspective on embitterment have been developed independently over the last decade. The present study investigates the dimensions of embitterment by bringing these two different approaches together, for the first time. The Bern Embitterment Inventory (BEI) was given to 49 patients diagnosed with “Posttraumatic Embitterment Disorder (PTED)” and a matched control group of 49 patients with psychological disorders with other dominant emotional dysregulations. The ability to discriminate between the two groups was assessed by t-tests and Receiver Operating Characteristic Curves (ROC curve analysis). PTED patients scored significantly higher on the BEI than the patients of the control group. ROC analyses indicated diagnostic accuracy of the inventory. Further, we conducted Confirmatory Factor Analyses (CFA) to examine the different dimensions of embitterment and their relations. As a result, we found four characteristic dimensions of embitterment, namely disappointment, lack of acknowledge, pessimism, and misanthropy. In general, our findings showed a common understanding of embitterment as a unique but multidimensional emotional reaction to distressful life-events.
Background Debriefing is effective and inexpensive to increase learning benefits of participants in simulation-based medical education. However, suitable communication patterns during debriefings remain to be defined. This study aimed to explore interaction patterns during debriefings and to link these to participants’ satisfaction, perceived usefulness, and self-reported learning outcomes. Methods We assessed interaction patterns during debriefings of simulation sessions for residents, specialists, and nurses from the local anaesthesia department at the Bern University Hospital, Bern, Switzerland. Network analysis was applied to establish distinctive interaction pattern categories based on recorded interaction links. We used multilevel modelling to assess relationships between interaction patterns and self-reported learning outcomes. Results Out of 57 debriefings that involved 111 participants, discriminatory analyses revealed three distinctive interaction patterns: ‘fan’, ‘triangle’, and ‘net’. Participants reported significantly higher self-reported learning effects in debriefings with a net pattern, compared to debriefings with a fan pattern. No effects were observed for participant satisfaction, learning effects after 1 month, and perceived usefulness of simulation sessions. Conclusions A learner-centred interaction pattern (i.e. net) was significantly associated with improved short-term self-reported individual learning and team learning. This supports good-practice debriefing guidelines, which stated that participants should have a high activity in debriefings, guided by debriefers, who facilitate discussions to maximize the development for the learners.
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