Poster Presentation
Wednesday, 19 July 2006
9:30 AM - 10:00 AM
Wednesday, 19 July 2006
2:30 PM - 3:00 PM
This presentation is part of : Poster Presentations I
Instrument Innovation in Nursing Collective Health Practice: The Classification System of Social Phenomena
Emiko Yoshikawa Egry, RN, MNSc, PhD, Collective Health Nursing Department, São Paulo University School of Nursing, São Paulo, Brazil and Marcia Cubas, RN, MPH, PhD, Nursing Department, Catholic University of Paraná, Curitiba, Brazil.
Learning Objective #1: know the Cipesc System and the possibilities of innovative intervention in the collective health area.
Learning Objective #2: know and discuss the strategic methodologies used to collecting data.

Sustained by the real need of apprehending the different nursing practices collective health scenario, in 1996, Brazilian Nursing Association started the project CIPESC" - International Nursing Practice Classification in Collective Health, inspired in ICNP - International Classification of Nursing Practices of the International Council of Nurses. As a result we build CIPESC" which is a system that simultaneously may describe, validate, quantify and characterize nursing practices in collective health. The first city in Brazil that adopted CIPESC" data-base has been Curitiba in the Paraná State. All the network of primary care services were connected using common bases. This study aims to verify the possibilities and limits of using the informatics' diagnoses data-base in the nursing activities; to review a system of information of nursing practices in collective health; to discuss the outcomes of nursing intervention in collective health. The methodology is based on Theory of Praxical Intervention in Nursing Collective Health, using qualitative and quantitative data, collected by documents and conducting interviews with the nursing and auxiliary nursing belonging local health units. The analytic categories are: labor process, epidemiological profile and nursing practice. We expected review the system of nursing practices classification; and to build an instrument able to identify collective face's of health.

 

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