Schwartz rounds – An organizational intervention to overcome burnout in hospitals

Hogan, Christy; Teodorczuk, Andrew; Hunt, Georgia; Pun, Paul; Munro, Jonathan; Ewais, Tatjana

doi:10.1177/10398562211038915

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…The Heath and Safety Executive has management standards that covers six areas that mitigate against employee burnout such as workload, choice, meaningful work, fairness, supportive teamwork, and sufficient positive recognition for staff efforts (Great Britain Health and Safety Executive, 2019). Peer support (Johnson, 2023) and Schwartz rounds (Hogan et al,2022) have been interventions that fall between the macro and the micro interventions. Both show they contribute towards a healthy work culture.…”

Section: Discussionmentioning

confidence: 99%

Understanding emotional and health indicators underlying the burnout risk of healthcare workers

Güveyi,

Elvin,

Kennedy

et al. 2024

Preprint

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BackgroundBurnout of healthcare workers is of increasing concern as workload pressures mount. Burnout is usually conceptualised as resulting from external pressures rather than internal resilience and although is not a diagnosable condition, it is related to help seeking for its psychological sequelae.ObjectiveTo understand how staff support services can intervene with staff heading for burnout, it is important to understand what other intrapsychic factors that are related to it.MethodsA diary tool was used by staff in a region of England to self monitor their wellbeing over time. The tool explores many areas of mental health and wellbeing and enabled regression analysis to predict which of the various factors predicted scores on the burnout item.FindingsBurnout can be best explained with independent variables includingdepression, receptiveness, mental wellbeing, andconnectedness(p<0.05) using a multiple linear regression model. It was also shown that 71% of the variance present in the response variable, i.e. burnout, explained by independent variables. There is no evidence found for multicollinearity in our regression models confirmed by both the Spearman Rank Correlation and the Variance Inflation Factor methods.ConclusionWe showed how burnout can be explained using a handful number of factors including emotional and mental health indicators.Clinical implicationsThe findings suggest a simple set of items can predict burnout and could be used for screening. The data suggests attention to four factors around social safeness, grounding and care in the self, hope and meaning and having sufficient energy could form the basis of attention in weelbeing programs.

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Section: Discussionmentioning

confidence: 99%