Use of the nursing minimum data set to describe nursing interventions for select nursing diagnoses and related factors in an acute care setting. Nurs Diagn 1995;6(3):108-14
Date
07/01/1995Pubmed ID
7662433DOI
10.1111/j.1744-618x.1995.tb00496.xScopus ID
2-s2.0-84985122773 (requires institutional sign-in at Scopus site) 9 CitationsAbstract
This study describes the prevalence of nursing interventions across six nursing diagnoses and their related factors using the framework of the Nursing Minimum Data Set (NMDS). Six nursing diagnoses (pain, potential for injury, anxiety, decreased cardiac output, potential for infection, and knowledge deficit) were among the most prevalent in an acute care setting studied in 1991. The NMDS and a nursing information system using standardized classification systems for nursing diagnoses and interventions provided an opportunity to describe nursing practice. Multiple related factors were identified across all six nursing diagnoses; three or four were selected frequently within each diagnostic category. The related factors also influenced the selection of interventions. Implications for the development of nursing classification systems and recommendations for further research are described.
Author List
Coenen A, Ryan P, Sutton J, Devine EC, Werley HH, Kelber SAuthor
Amy Coenen PhD Professor in the Nursing department at University of Wisconsin - MilwaukeeMESH terms used to index this publication - Major topics in bold
Acute DiseaseFemale
Humans
Information Systems
Male
Middle Aged
Nursing Diagnosis
Nursing Evaluation Research
Patient Care Planning
Terminology as Topic
