Application of the Method "Workload Indicators in the Determination of Health Personnel Needs" in Hospital Institution

Wednesday, 24 July 2013

Ana Maria Laus, RN, PhD1
Raquel Rapone Gaidzinski, RN, PhD2
Fernanda Maria Togeiro Fugulin, RN, PhD2
Daiana Bonfim2
(1)Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
(2)Escola de Enfermagem, Universidade de São Paulo, São Paulo, Brazil

Learning Objective 1: The learner will be able to acquire knowledge to the planning of nursing human resources for health services.

Learning Objective 2: The learner will be able to know the WISN method applied in hospital nursing.

Purpose: The dimensions of health personnel, as a management tool, have to be investigated in order to produce results that enable the realization of the meaning of a workforce compatible to the needs of customers and institutions. The importance of developing methodologies aiming at the establishment of parameters for the allocation of professionals has the purpose of helping managers get a rational framework of professionals. The methodology Workload Indicators of Staffing Need (WISN)1, developed by the World Health Organization, is based on the assessment of workload expended by professionals, anchored in activity patterns (time) using statistical data of activities available at the services.This research aims to evaluate the WISN method as a predictor of nursing human resources required in a public teaching hospital in the city of São Paulo.

Methods: This is a methodological study, which uses documentary research as a technique for collecting quantitative data in the institution relating to the indicators of production, as well as those that refer to personnel variables, allowing the calculation of the available working time of nursing professionals.

Results: The analysis and discussion will be developed from the reference of the sizing of health human resources and the results will be compared with the methodologies proposed in the Brazilian literature.

Conclusion: This is an innovative design that aims to support public policies for human resource management through scientific evidence that support decisions about allocation and budget.