Global inequality exists in the availability of a nursing workforce, supported evidentially by the ratio, in low-income countries, of only 9.1 nurses per 10 000 people versus 107.7 nurses per 10 000 people in high-income countries. Mongolia is no exception with 42.14 nurses per 10 000 people and a nursing shortage severe enough to endanger patient safety and well-being. This paper details both a policy analysis and contextually well-designed recommendations to strengthen Mongolia's nursing science and practice systems. Obstacles that significantly affect the successful development of nursing and midwifery professions in Mongolia include (1) a lack of strategic planning and regulation; (2) low status of nurses and midwives; (3) absence of professional representation for nurses and midwives; and (4) a dearth of strategic programs for postgraduate training of nurses and midwives. The suggested recommendations include the appointment of a chief nursing office within the government and a cohort of nurse leaders to work to establish a nursing and midwifery board as an independent, professional regulatory body in Mongolia to develop and implement standards to ensure best practice, higher standards of nurse education, and regulate the profession.
BackgroundThe relatively young and inexperienced healthcare professionals in Mongolia faced with an unprecedent service demand in response to the COVID-19 pandemic. Due to the small size of the healthcare workforce the Mongolian Health Ministry had no choice but to mandate continuous and long workhours from the healthcare workforce. Many of the healthcare professionals exhibited signs and symptoms of mental health disorders. This study aimed to discern the prevalence various mental health concerns, i.e., depression, anxiety and stress, insomnia, and to discern the factors that increased susceptibility to mental health disorders among frontline healthcare professionals providing healthcare services for COVID-19 patients in Mongolia.MethodsA Cross-sectional research design was implemented. We collected data from 965 healthcare professional, randomly selected from 18 government hospitals, in four regions of Mongolia. Data were collected using the Depression Anxiety Stress-21, the General Self-Efficacy Scale, and the Insomnia Severity Index instruments. We constructed the scale of Pandemic Response Symptoms (PaReSy) which captured stress, depression, and anxiety. Data were analyzed using descriptive statistics, Kruskal–Wallis statistical test and multinominal logistic regression analysis.ResultsPrevalence of depression (52.3%, CI 95%: 49.1–55.5%), anxiety (70.2%, CI 95%: 67.2–73.0%), and stress (35.8%, CI 95%: 32.7–38.9%) was documented among Mongolian healthcare professionals. Perception of self-efficacy reduced susceptibility to PaReSy either at mild/moderate (OR = 0.948, 95% CI = 0.911–0.988, P = 0.011) or severe/extremely severe level (OR = 0.911, 95% CI = 0.861–0.963, P = 0.001). Within each stratum of insomnia, the risk of experiencing PaReSy increased almost linearly both in the category of mild/moderate PaReSy and in the category of severe/extremely severe PaReSy.ConclusionImproving self-efficacy and sleeping quality can assist healthcare workers to manage depression, anxiety, and stress. Findings provide important evidence to implement measures and strategies to assist healthcare professionals in low- and middle-income countries to constructively address their mental health concerns and needs.
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