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<bold>Aim.</bold> 1. Implement repeated validation of three NANDA International nursing diagnoses before and after their experimental classification in daily nursing practice at an intensive care unit for adults, at a medium-sized hospital. 2. Identify statistically significant differences in Diagnostic Content Validation (DCV) values between the two validations.
<bold>Material and methods.</bold> Fehring’s DCV model was used for validation of NANDA International diagnoses. The sample of assessors consisted of 33 experts in the first stage and of 31 experts in the second stage, the experts were in both cases ICU nurses. Nursing diagnoses were experimentally applied in practice for 3 months. The data were processed using descriptive statistics, Wilcoxon matched pairs test and paired t-test.
<bold>Results.</bold> Total DCV scores of diagnoses after the first validation: Impaired gas exchange 00030 with DCV 0.67; Risk for disuse syndrome 00040 with DCV 0.69 and Risk for aspiration 00039 with DCV 0.73. The DCV values after the second validation were as follows: 0.63; 0.64 and 0.78 respectively.
<bold>Conclusions.</bold> Nursing diagnoses: Impaired gas exchange 00030, Risk for disuse syndrome 00040 and Risk for aspiration 00039 are valid for nursing diagnostics of adult lucid postoperative intensive care unit patients at a medium-sized hospital.
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Aim. 1. Implement repeated validation of three NANDA International nursing diagnoses before and after their experimental classification in daily nursing practice at an intensive care unit for adults, at a medium-sized hospital. 2. Identify statistically significant differences in Diagnostic Content Validation (DCV) values between the two validations.
Material and methods. Fehring’s DCV model was used for validation of NANDA International diagnoses. The sample of assessors consisted of 33 experts in the first stage and of 31 experts in the second stage, the experts were in both cases ICU nurses. Nursing diagnoses were experimentally applied in practice for 3 months. The data were processed using descriptive statistics, Wilcoxon matched pairs test and paired t-test.
Results. Total DCV scores of diagnoses after the first validation: Impaired gas exchange 00030 with DCV 0.67; Risk for disuse syndrome 00040 with DCV 0.69 and Risk for aspiration 00039 with DCV 0.73. The DCV values after the second validation were as follows: 0.63; 0.64 and 0.78 respectively.
Conclusions. Nursing diagnoses: Impaired gas exchange 00030, Risk for disuse syndrome 00040 and Risk for aspiration 00039 are valid for nursing diagnostics of adult lucid postoperative intensive care unit patients at a medium-sized hospital.

Validation of NANDA international nursing diagnoses at postoperative intensive care unit: quasi-experimental study

Department of Nursing and Midwifery, Faculty of Medicine

Department of Anthropology and Health Sciences, Faculty of Education

Pielegniarstwo  XXI wieku / Nursing in the 21st Century

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Aim. 1. Implement repeated validation of three NANDA International nursing diagnoses before and after their experimental classification in daily nursing...

Validation of NANDA international nursing diagnoses at postoperative intensive care unit: quasi-experimental study

Published Online: Mar 01, 2021

Page range: 5 - 9

Received: May 19, 2020

Accepted: Jul 23, 2020

DOI: https://doi.org/10.2478/pielxxiw-2021-0006

Keywords
NANDA International, DCV model, validation, intensive care, adult

© 2021 Dagmar Serkova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Validation of NANDA international nursing diagnoses at postoperative intensive care unit: quasi-experimental study

Published Online: Mar 01, 2021

Page range: 5 - 9

Received: May 19, 2020

Accepted: Jul 23, 2020

DOI: https://doi.org/10.2478/pielxxiw-2021-0006

KeywordsNANDA International, DCV model, validation, intensive care, adult

© 2021 Dagmar Serkova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
NANDA International, DCV model, validation, intensive care, adult