This work aims to analyze the distribution of the nursing workload from the simulation
of three methods of daily distribution. It presents three different methods for carrying
out the daily staff distribution scale, Method 1, of the equivalent proportion, which is
based on the proportional division of beds occupied among technicians or nursing
assistants, without considering the degree of dependence of the patient; the method of
Menegaz (Method 2) and the method of the Medical Clinic - adapted from the method
Menegaz (Method 3), both seek to distribute the workload and not only beds, using a
Patient Classification System daily. This is a Simulation Study in four phases: Planning;
Modeling; Experimentation; Decision and Conclusion. The data collection for
simulation was performed in the medical clinic of a university hospital in the North
region of Brazil with the collaboration of 10 nursing technicians, 6 of the morning shift
and 4 of the afternoon shift. From the activities described in the Nursing Handbook as
the assignment of the mid-level personnel, the professionals were observed and the time
of execution of the activities were timed in the period of 30 days. With the information
collected, a flowchart representative of the work process was constructed in a shift and
inserted in the Software Arena, student version. Three stochastic simulations were
carried out, based on the three daily scales from the 1st, 2nd and 3rd daily distribution
method, respectively, where the patient distributions among the technicians in the
software were included to obtain the workload based on data collected in the collection.
As a result, the three methods were compared, supporting the hypothesis that the
methods that take into account the degree of dependence of the patients distribute a
more egalitarian form to the workload among the nursing team. In the course of this
study, limitations related to data collection and appearance of other variables that
influenced the object of study appeared, and new hypotheses appeared. Despite this, it
was possible to obtain the result that answered the hypothesis suggested in this research.
Considering these data and the hypotheses that emerged during the research, other
investigations are necessary to deepen the correlation between the degree of dependence
of the patient and the workload.
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