"Embracing the Inner Strength and Staying Strong": Exploring Self-Care Preparedness among Nurses for Enhancing Their Psychological Well-Being against the Long-Term Effect of COVID-19 Pandemic in Brunei Darussalam.
Khadizah H Abdul-MuminAminol Azrin MaideenAgong LupatSiti Nur-Diyana Mohd-AlipahRoziah H Mohammad-AlliHajah-Noraini H Abd-ManafAbd-Rani OsmanHaji Mohd Reduan Abd FataNani BusrahCynthia Darling-FisherDeeni Rudita IdrisPublished in: International journal of environmental research and public health (2023)
During three years of the unprecedented, massive COVID-19 pandemic that affected the world, nurse front liners faced substantial challenges and experienced long-term adverse mental health. This study explored psychological self-care practices undertaken by nurses to strengthen their mental health and develop resilience in their professional care role while addressing the challenges of the COVID-19 era. A qualitative descriptive exploratory study was conducted on 40 nurses who worked in providing COVID-19 care across Brunei using focus groups aided by semi-structured open-ended questions. Data were thematically analyzed using constructivist grounded theory. Four themes emerged: (1) 'Care of the mind, heart and soul'; (2) 'Physical care for the psychological well-being'; (3) 'Venting out and distraction'; (4) 'Have faith, think and stay positive'. The challenges of dealing with a worldwide pandemic unintentionally placed nurses' mental well-being at risk while the government strategized and prioritized containing and preventing the spread of and death from COVID-19. Health administrators, as well as nursing educators, need to promote and develop resources to strengthen nurses' psychological self-care practices. This will not only benefit individual nurses but will help promote the well-being of patients and employees, improve the health of all, and counteract any unintended stressful situations, even beyond the COVID-19 pandemic.
Keyphrases
- mental health
- healthcare
- coronavirus disease
- sars cov
- palliative care
- mental illness
- primary care
- quality improvement
- end stage renal disease
- heart failure
- public health
- chronic kidney disease
- pain management
- affordable care act
- ejection fraction
- newly diagnosed
- climate change
- minimally invasive
- emergency department
- machine learning
- cross sectional
- health information
- prognostic factors
- big data
- drug induced
- peritoneal dialysis
- deep learning