Vieira LF, Fernandes VR, Papathanassoglou E, Azzolin KDO. Accuracy of Defining Characteristics for Nursing Diagnoses Related to Patients with Respiratory Deterioration.
Int J Nurs Knowl 2019;
31:262-267. [PMID:
31850688 DOI:
10.1111/2047-3095.12272]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 11/03/2019] [Accepted: 12/01/2019] [Indexed: 11/30/2022]
Abstract
PURPOSE
To evaluate accuracy of defining characteristics (DCs) for impaired gas exchange (IGE), impaired spontaneous ventilation (ISV), and ineffective breathing pattern (IBP) in respiratory deterioration.
METHODS
This study is a retrospective analysis of medical records. The accuracy and predictive ability of DC or of clusters are calculated.
FINDINGS
In this study, 391 records were evaluated. For IGE, DCs or clusters with higher efficiency were "hypercapnia" (78%), "somnolence" (74.4%), and "hypercapnia + tachycardia" (88%); for ISV, the cluster with higher efficiency was "increased heart rate ± decrease in cooperation" (70.1%); and for IBP, no DC or cluster exceeded 70% efficiency. These were confirmed by logistic regression.
CONCLUSION
Few DCs had adequate efficiency for respiratory nursing diagnoses, while in some cases clusters accounted for higher efficiency.
IMPLICATIONS FOR NURSING PRACTICE
Clusters of DC may be relevant for respiratory diagnoses.
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