ABSTRACT
This study was conducted to describe the variance in selected Nursing Outcomes Classification (NOC) outcome change scores of hospitalized older patients with pneumonia (n = 216) or heart failure (HF; n = 67) that could be explained by age, length of stay (LOS), number of comorbid conditions, number of nursing diagnoses, and number of nursing interventions. Investigators used a descriptive correlational design to analyze data sets from three U.S. community hospitals. Study participants had at least two ratings on one of nine outcomes selected for their frequency and use across the three hospitals. A significant portion of the variance in the outcomes Knowledge: Illness Care and Fall Prevention Behavior was explained for pneumonia patients. None of the regression models for HF patients showed significance. Individual independent variables were significant in some of the models (i.e., LOS [pneumonia], number of nursing diagnoses [pneumonia and HF]). Implications for research and clinical practice are discussed.
Subject(s)
Heart Failure/physiopathology , Outcome Assessment, Health Care , Pneumonia/physiopathology , Aged , Female , Humans , Length of Stay , Male , Retrospective StudiesABSTRACT
A study was conducted by academic and community hospital partners with clinical information systems that included the standardized nursing language classifications of the North American Nursing Diagnosis Association International (NANDA-I), Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). The aim of the study was to determine the frequency of NANDA-I, NIC, and NOC (NNN) terms documented for older adults with pneumonia who were discharged from three hospitals during a 1-year period. NNN terms were ranked according to frequency for each hospital, and then the rankings were compared with previous studies. Similarity was greater across hospitals in rankings of NANDA-I and NOC terms than in rankings of NIC terms. NANDA-I and NIC terms are influenced by reimbursement and regulatory factors as well as patient condition. The 10 most frequent NNN terms for each hospital accounted only for a small to moderate percentage of the terms selected.