Objective: to analyze the intensity of nursing work in public hospitals. Method: cross-sectional, quantitative study, carried out in 22 public hospitals. The sample was composed of 265 nurses and 810 nursing technicians and assistants. Data were collected through a questionnaire and analyzed with Exploratory Factor Analysis. The calculation of the distribution of the work intensity by category was done using a score ranging from -1 to +1 standard deviation of the data. Fisher’s exact test (0.05 <p≤0.10) was used to observe the significance between groups according to the employment bond. Results: work intensity contributed to the explanation of precarization of work, with a value of 13% for nurses and 51.2% for technicians and assistants. For the technicians and assistants, the variables with the highest factor loadings were ‘work requires more than she can do’ (0.6696) and ‘takes on multiple tasks due to staff shortages’ (0.6156). Among nurses, the highest factor loadings were observed in the variables ‘time pressure at work (0.6779) and ‘Work pace’ (0.6651). Conclusion: the variables analyzed indicate that work intensity occurs differently among nursing workers, and is revealed by the versatility, understaffing and flexibility of work.
Objectives: to describe clinical characteristics and mortality of people with ischemic cerebrovascular accidents (strokes); to compare disability before the event and 90 days after. Methods: longitudinal study with 308 people hospitalized in Salvador-BA. Data collection took place from 03/2019 to 01/2020. Descriptive and inferential statistics were used. Results: mean age was 64.8 years, and National Institute of Health Stroke Scale score was 10.7. The median length of stay in the hospital was 11 days. Afro-descendants predominated (84%), elementary educational level (68.4%), income up to three minimum wages (89.1%), arrival within 4.5 hours of symptoms (57.9%) and admission to a specialized unit (71.8%). Prevalence of thrombolysis: 26%. The asymptomatic before the event category predominated (85.3%) as did the moderate/severe disability (41.5%) after 90 days. 19.7% of the sample evolved to death. Conclusions: the high mortality and disability generated by the event have implications for health management and care.
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