This exploratory-descriptive study aimed to identify the patient care profile at the Hospitalization Units of the University Hospital-USP to support human resource allocation, to evaluate the nursing staff and to ground decision-making processes on nursing care organization and planning. In order to get to know the patients' care complexity profile, the patient classification instrument was used, developed and established at the Medical Clinic Unit of the UH-USP since 1990. The study results allowed us to evaluate the adequacy of the classification system used and provided information on the patients' care profile and the work load at each Hospitalization Unit, thus, supporting management decisions on human resource allocation, care planning and service organization in view of clients' demands.

This is a qualitative descriptive, transversal study aiming to analyze the amount and causes of sick leave of nursing professionals and its relationship with the occupation tax of the hospitalization units in a teaching hospital. The methodology was divided into two phases: demographic characterization of professionals and identification and analysis of absences regarding the amount and type of sick leaves, medical diagnosis and its relationship with the occupation tax of the Hospital. The nursing professionals presented the greatest amount of sick leaves. Diseases of the osteomuscular system and of the connective tissue represented 4,957 days (41.5%) of absences and mental and behavioral disorders 3,393 days (28.4%). The monthly percentage of sick licenses was inversely proportional to the occupation tax, suggesting that professionals were absent due to diseases after being submitted to greater work load. KEY WORDSNursing. Absenteeism. Personnel management. Nursing staff, hospital. RESUMENEstudio de naturaleza descriptiva, transversal, elaborada con el objetivo de analisar la cantidad y las causas del afastamiento por enfermedad de los profesionales de enfermería y su relación com la tasa de ocupación de las unidades de internación de un hospital de enseñanza. La metodología fue desarrollada en dos etapas: caracterización demográfica de los profisionales y la identificación y análisis de las ausencias en relación a la cantidad y tipos de afastamiento por enfermedad, a los diagnósticos médicos y en relación con la tasa de ocupación en el hospital. Los técnicos de enfermería fueron los que presentaron la mayor cantidad de licencias por enfermedad. Las enfermedades del sistema osteomuscular y del tejido conjuntivo representaron 4,957 días (41.5%) de ausencias y los trastornos mentales y comportamentales 3.393 días (28.4%). El percentual mensal de licencias por enfermedad fue inversamente proporcional a la tasa de ocupación, sugeriendo que los profesionales se ausentaron por enfermedad después de haberen sido sometidos a ritmos mayores de trabajo DESCRIPTORES Enfermería. Absentismo. Administración de personal. Personel de enfermería en hospital.

Objective: to analyze the distribution of nursing professionals' workloads, according to the Nursing Intervention Classification (NIC), during the transoperative period at a surgical center specializing in oncology. Methods: this was an observational and descriptive cross-sectional study. The sample consisted of 11 nurses, 25 nursing technicians who performed a variety of roles within the operating room, 16 nursing technicians who worked with the surgical instrumentation and two nursing technicians from patient reception who worked in the surgical center during the transoperative period. An instrument was developed to collect data and the interventions were validated according to NIC taxonomy. Results: a total of 266 activities were identified and mapped into 49 nursing interventions, seven domains and 20 classes of the NIC. The most representative domains were Physiological-Complex (61.68%) and Health System (22.12%), while the most frequent interventions were Surgical Care (30.62%) and Documentation (11.47%), respectively. The productivity of the nursing team reached 95.34%. Conclusions: use of the Nursing Intervention Classification contributes towards the discussion regarding adequate, professional nursing staffing levels, because it shows the distribution of the work load.

Objectiveverify the application of the Workload Indicators of Staffing Need method in the prediction of nursing human resources at a Family Health service. Methoddescriptive and quantitative study, undertaken at a Family Health service in the city of São Paulo. The set of sequential operations recommended in the Workload Indicators of Staffing Need method was used: definition of the professional category, type of health service and calculation of Available Work Time; definition of workload components; identification of mean time for workload components; dimensioning of staff needs based on the method, application and interpretation of the data. Resultthe workload proposed in the Workload Indicators of Staffing Need method to nursing technicians/auxiliary nurses was balanced with the number of professionals available at the Family Health service. The Workload Indicators of Staffing Need index amounted to 0.6 for nurses and 1.0 for nursing technicians/auxiliary nurses. Conclusionthe application of the Workload Indicators of Staffing Need method was relevant to identify the components of the nursing professionals' workload. Therefore, it is recommendable as a nursing staffing tool at Family Health services, contributing to the access and universal health coverage.