NANDA-I in clinical decision-making of students of the Faculty of Health Sciences, Palacký University Olomouc
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NANDA International 2012 Conference Abstract
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Session 3.1
Clinical Judgement Track


Authors
Jana Mareckova
Lenka Mazalova
Jana Kamenickova
Stepanka Bubenikova
Jana Zapletalova

Question
The project worked towards two main goals: (1) to support clinical decision-making of students of general nursing and midwifery at the Faculty of Health Sciences, Palacký University Olomouc using diagnostic algorithms, and (2) to provide a model of collection and processing of NANDA-I diagnostic and other selected data in adult patients, pediatric patients, patients with normal pregnancies and hospitalized pregnant patients. The project was supported by the Palacký University internal grant “Outcomes of NANDA-International Nursing Diagnoses in Nursing Care and Midwifery” (IGA UP FZV_2010_003). The study addressed the following research questions: (1) Which NANDA-I phenomena will be noted by the faculty students using a diagnostic algorithm? and (2) What relationships will be described between data obtained by the study in adult patients, pediatric patients and midwifery patients? 

Results / Findings

Given the extent of data collected, only one example is shown in this abstract. In the group of adult male subjects, the following diagnoses were significantly more frequent: imbalanced nutrition: more than body requirements – 00001, bowel incontinence – 00014, decreased cardiac output – 00029, and fear – 00148.

Discussion / Conclusion

The diagnostic approach in the above Czech study is confronted with M. Lunney’s “Five Errors of Thinking and Application of NANDA-I Nursing Diagnoses” as published in the NANDA International 2011 Latin American Symposia proceedings.

Methods
A quantitative non-experimental study with descriptive and explanatory features. In a group of 754 hospitalized subjects, the faculty students clinically assessed the presence of 51 NANDA-I diagnoses and their characteristics and related or risk factors. An online data collection protocol was used, with a diagnostic algorithm for clinical decision-making about the presence or absence of a nursing diagnosis (Marečková, 2006, pp. 36-9). The data were processed by descriptive statistics and selected variables were studied using Fisher’s exact and Mann-Whitney tests.

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