Purpose: The aim of this study is to develop and validate a case study to aid in the diagnostic reasoning of nursing students and nurses. Methods: It is a validation study using a case study based on Lunney's method including (1) content validation of the case study by nurse experts through the Delphi technique, (2) identification of nursing diagnoses (NDs) in the case, (3) evaluation of diagnostic accuracy, and (4) establishment of a priority diagnosis by nurse experts. Findings: The case study was developed from the findings of a narrative literature review on the cues of the NDs with a prevalence > 50% in patients with peripheral arterial occlusive disease. Two rounds of expert evaluation were required to validate the case study. The experts identified 18 NDs with different degrees of accuracy. The highly accurate diagnoses most frequently identified by the experts were: Ineffective peripheral tissue perfusion (100%), impaired walking (83%), impaired comfort (50%), and chronic pain (50%). The diagnosis considered a priority by all experts was ineffective peripheral tissue perfusion. Conclusions: The case study was developed and had its content validated. High-accuracy diagnoses were identified, and a priority was determined. Implications for nursing practice: The validated case study may be used by students and nurses to facilitate the development of diagnostic reasoning and critical thinking in practice, teaching or research.

Development and validation of a case study to aid in the diagnostic reasoning of nursing students and nurses

D'AGOSTINO F;
2023-01-01

Abstract

Purpose: The aim of this study is to develop and validate a case study to aid in the diagnostic reasoning of nursing students and nurses. Methods: It is a validation study using a case study based on Lunney's method including (1) content validation of the case study by nurse experts through the Delphi technique, (2) identification of nursing diagnoses (NDs) in the case, (3) evaluation of diagnostic accuracy, and (4) establishment of a priority diagnosis by nurse experts. Findings: The case study was developed from the findings of a narrative literature review on the cues of the NDs with a prevalence > 50% in patients with peripheral arterial occlusive disease. Two rounds of expert evaluation were required to validate the case study. The experts identified 18 NDs with different degrees of accuracy. The highly accurate diagnoses most frequently identified by the experts were: Ineffective peripheral tissue perfusion (100%), impaired walking (83%), impaired comfort (50%), and chronic pain (50%). The diagnosis considered a priority by all experts was ineffective peripheral tissue perfusion. Conclusions: The case study was developed and had its content validated. High-accuracy diagnoses were identified, and a priority was determined. Implications for nursing practice: The validated case study may be used by students and nurses to facilitate the development of diagnostic reasoning and critical thinking in practice, teaching or research.
2023
case reports
dimensional measurement accuracy
nursing diagnosis
validation study
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14245/1637
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