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M Lunney

Publications and source records attributed to M Lunney.

24 records · Page 2Linked to original sources
PubMedDate not supplied

Taxonomic validation: an overview.

A valid taxonomy legitimizes the elements that make up the taxonomy and increases trust in its generalizability and predictability. There is a concern that the NANDA Taxonomy is not a valid taxonomic structure. Despite on-going work to validate individual nursing diagnoses, there is little research that focuses on validation of groups of diagnoses (taxons) within the NANDA taxonomy. This last article in a series of four will familiarize the readers with why, what, and how a taxonomy of nursing diagnoses can be validated. This article highlights assessment of the validity and reliability of a taxonomy, compares the process of taxonomic validation to the research process, and explores examples of validation design.

Cluster Analysis↗
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Accuracy of nurses' diagnoses of psychosocial responses.

PURPOSE: To describe the accuracy of staff nurses' diagnoses or interpretations of the human responses of patients in hospital settings. METHODS: The sample was 62 staff nurses in three hospitals who assessed and diagnosed the psychosocial problems of one to four patients. Two trained raters followed with assessment, diagnosis, and ratings of nurses' accuracy of 153 cases. A seven-point interval scale was used to judge accuracy. FINDINGS: The means of accuracy scores across nurses were significantly different (f = 1.66; p < .05; df = 2.59). A significant percentage of nurses' diagnoses were scored at the two highest levels of accuracy (45.2%), and 12.8% were scored at the three lowest levels of accuracy. According to the expert raters, a high percentage of patients (54.4%) were experiencing fear or anxiety. CONCLUSIONS: More attention needs to be given to the accuracy of nurses' diagnoses of psychosocial responses.

Acute Disease↗
PubMedDate not supplied

Moving beyond content validation of nursing diagnoses.

TOPIC: Studies to establish construct and criterion-related validity of nursing diagnoses. PURPOSE: The overwhelming majority of previous studies addressed content validation by nurse experts. This paper describes strategies to move beyond content validation research to construct and criterion-related validation. SOURCES: The range of studies that should be conducted for development of nursing diagnoses are reviewed with examples drawn from the field of psychology. Existing studies on the diagnoses of ineffective breathing pattern, ineffective airway clearance and impaired gas exchange are used as examples. CONCLUSIONS: Many types of studies are needed for each nursing diagnosis. Increased funding and support for nursing diagnosis research will be facilitated by attention to the accuracy of nurses' diagnoses and outcomes of the diagnostic process.

Humans↗