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Stroke is a global health concern. A timely response to a stroke can help reduce morbidity and mortality. However, barriers to timely response include poor recognition of stroke symptoms. Stroke symptom messages are designed to increase stroke recognition and encourage individuals to seek urgent medical assistance. The Face, Arm, Speech, Time (FAST) and Balance, Eyes, Face, Arm, Speech, Time (BE FAST) are commonly used stroke symptom messages shown to improve stroke symptom recognition and response. However, cultural factors and language differences may limit the effectiveness of stroke symptom messages and their acceptability in different countries and contexts. There has not been a comprehensive examination of the stroke symptom messages used worldwide and how these messages have been adapted in various settings.
We explored what stroke response messages are being used globally, and the contextual factors that influence the adoption of a stroke response mnemonic in different settings.
A 14-item survey was disseminated by the World Stroke Organization to its networks. The survey contained open- and closed-ended questions and allowed uploading relevant stroke symptom campaign materials. The survey was analyzed using descriptive statistics and a content analysis.
All except one survey respondent used a stroke symptom message. Fifteen respondents (27%) reported they did not translate their stroke awareness messaging. Of these 15 respondents, they used the English versions of FAST (n = 8), BE FAST (n = 4), and both FAST and BE FAST (n = 3). Forty respondents (71%) reported that they/their organization used an acronym to raise public awareness of the signs/symptoms of stroke that was different from FAST or BE FAST (English), many of which were direct or indirect translations or influenced by FAST and BE FAST. Survey responses shared insights and recommendations related to the content, tailoring and dissemination of stroke symptom messages.
Study findings highlight the global use of stroke symptom messages and their contextual adaptations to fit diverse settings and contexts. The challenges in applying universal or commonly used stroke symptom messages to different contexts were highlighted.
Nurses could have a key role in raising awareness of stroke symptoms and the development of locally adapted stroke symptom messages.
Burnout, a form of moral suffering, has become more commonplace among health care workers in recent years. Measures of general resilience have been widely used to capture improvement in burnout but lack the ability to capture the anguish that comes with burnout from a moral standpoint. The purpose of this analysis was to understand whether moral resilience is uniquely related to burnout beyond a measure of general resilience in a sample of interprofessional health care workers.
Secondary analysis of cross-sectional survey data.
In total, 702 interprofessional health care workers participated in a cross-sectional survey. Key measures included the Rushton Moral Resilience Scale (RMRS), the Connor-Davidson Resilience Scale (CD-RISC-10), and the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Hierarchical multiple regression modeling was used to examine the effect of moral resilience (RMRS) in predicting the three dimensions of burnout (MBI-HSS) over and above general resilience (CD-RISC-10).
Moral resilience explained five, six, and 4% of variance for personal accomplishment, depersonalization, and emotional exhaustion, respectively, after accounting for general resilience (CD-RISC-10) and all covariates.
Findings highlight the clear conceptual differences between general and moral resilience and their unique relationship to burnout. Accounting for moral resilience will facilitate an improved multi-level response to moral suffering among health care workers.
Measuring and understanding the differences between general resilience and moral resilience is vital for us to better facilitate the necessary support(s) for health care workers experiencing moral suffering. This will contribute to more sustainable clinical environments, reduced burnout and suffering, and improved patient outcomes.
FreshRSS