The impact of organizational compassion in health care on clinicians: A scoping review.

BACKGROUND: The unprecedented exodus of workers from the healthcare system is a patient safety crisis. Organizational compassion in health care is the proactive, systematic, and continuous identification, alleviation, and prevention of all sources of suffering. AIMS: This scoping review aimed to describe the evidence regarding the impact of organizational compassion on clinicians, identify gaps, and provide recommendations for future research. METHODS: A comprehensive librarian-assisted database search was conducted. Databases searched were PubMed, SCOPUS, EMBASE, Web of Science, PsychInfo, and Business Source Complete. Combinations of search terms regarding health care, compassion, organizational compassion, and workplace suffering were used. The search strategy was limited to English language articles and those published between 2000 and 2021. RESULTS: Database search yielded 781 articles. After removing duplicates, 468 were screened by title and abstract, and 313 were excluded. One-hundred and fifty-five underwent full-text screening, and 137 were removed, leaving 18 eligible articles, two of which were set in the United States. Ten articles evaluated barriers or facilitators to organizational compassion, four evaluated elements of compassionate leadership, and four evaluated the Schwartz Center Rounds intervention. Several described the need to create systems that are compassionate to clinicians. Lack of time, support staff, and resources impeded the delivery of such interventions. LINKING EVIDENCE TO ACTION: Little research has been done to understand and evaluate the impact of compassion on US clinicians. Given the workforce crisis in American health care and the potential positive impact of increasing compassion for clinicians, there is an urgent need for researchers and healthcare administrators to fill this gap.

Leader sleep devaluation, employee sleep, and unethical behavior.

OBJECTIVES: The objectives of this study is to examine the effect of leader sleep devaluation (which we define as leader behaviors that signal to employees that sleep should be sacrificed for work) on the sleep and unethical behavior of subordinates. DESIGN: Across 2 studies (with 3 total samples of participants), we use a cross-sectional survey, a diary study completed by employees, and a diary study completed by employees and their leaders. SETTING: Study 1 - a convenience sample of working adults in Italy, including 575 subordinates nested under 140 leaders. Study 2A - 135 working adults recruited from Amazon's Mechanical Turk. Study 2B - 127 employee-supervisor dyads recruited from the Study Response project. MEASUREMENTS: Survey measures of leader behaviors, subordinates sleep, and subordinate unethical behavior. RESULTS: Sleep devaluing leader behavior has harmful effects on employee sleep, and that these effects occur above and beyond the effects of abusive supervision and other alternative explanations. Subordinate sleep quality has a mediating role between leader sleep devaluation and subordinate unethical behavior. Effects for sleep quantity were inconsistent. CONCLUSIONS: Leaders can adversely influence the sleep and work experience of their subordinates. Specifically, sleep devaluing leader behavior undermines subordinate sleep, which in turn is associated with higher levels of subordinate unethical behavior.

Data from a pre-publication independent replication initiative examining ten moral judgement effects.

We present the data from a crowdsourced project seeking to replicate findings in independent laboratories before (rather than after) they are published. In this Pre-Publication Independent Replication (PPIR) initiative, 25 research groups attempted to replicate 10 moral judgment effects from a single laboratory's research pipeline of unpublished findings. The 10 effects were investigated using online/lab surveys containing psychological manipulations (vignettes) followed by questionnaires. Results revealed a mix of reliable, unreliable, and culturally moderated findings. Unlike any previous replication project, this dataset includes the data from not only the replications but also from the original studies, creating a unique corpus that researchers can use to better understand reproducibility and irreproducibility in science.