Categorization of the care clinic complexity in to community nursing

15^th Euro Nursing & Medicare Summit

October 17-19, 2016 Rome, Italy

Marta Fernandez Batalla, Jose Maria Santamar�?­a Garcia, Roberto Barchino Plata, Alexandra Gonzalez Aguna and Amalia Coca Barbado

University of Alcala, Spain

Posters & Accepted Abstracts: J Nurs Care

Abstract :

Introduction: The family and community nurse works with multiple clinical cases. This means that there are different levels of difficulty. The variables which occur in a case, how to relationship to each one and the typology makes it a degree difficult in therapeutics as well as diagnosis for the nurse. This is called â�?�?complexityâ�?. The relationship between the explicit terms of a case and the implicit logical consequences makes the case advance the implementation and its value in training. It is important to note the type of data that make up the clinical course. Aim: The aim of this work is to categorize the complexity of the situations in the environment to classify different types of clinical cases through a case classification system. Methodology: In this study Delphi method to â�?�?nâ�? turns was used to achieve unanimous consensus of the experts involved. Results: The system makes distinction between the difficulty level of a clinical course and the number of normalized variables. In case of variable numbers which give greater or lesser complexity to a course is because it is not known if more or less information helps the course is more or less complex, as it depends on the quality of information given. Conclusion: This work will facilitate the undergraduate mentoring specialty of family and community nursing students allowing their training and giving a system of measuring their skills and improvement by increasing its solvability not only numerically but attending the complexity of the cases resolved.

Biography :

Marta Fernández Batalla is a Specialist in Family and Community Nursing and has done PhD in the Department of Nursing and Physiotherapy from Alcala University, Spain.

Email: marta.fdezbatalla@uah.es