Since a substantial component of health care delivery is reflected in nursing's work, it is imperative that nursing expedites implementation of a standardized language that reflects nursing's work and ultimately allows outcome evaluation. This paper will summarize the state of development and related issues of standardized language in nursing, including: Nursing Minimum Data Set, Taxonomies of Nursing Diagnoses, Nursing Interventions, Outcomes, and the Nursing Management Minimum Data Set. The Nursing Minimum Data Set, including nursing care, patient or client demographic, and service elements, reflects a standardized collection of essential nursing data used by multiple data users in the health care delivery system across all types of settings. The nursing care elements include nursing diagnosis, nursing intervention, nursing outcome, and intensity of nursing care. Currently, more than 100 nursing diagnoses have been accepted for clinical testing by the North American Nursing Diagnosis Association (NANDA) and have been incorporated into a taxonomy of nursing diagnoses that reflects patient responses to actual or potential health problems that nursing can address. A current formulation of a taxonomy of nursing interventions for the treatment of the nursing diagnoses yielded 336 nursing intervention labels organized at three or four levels of abstraction. Concomitant with these endeavors is the necessity for identifying outcomes associated with each diagnosis and its treatment. Concepts and a classification for indicators of these outcomes are being reviewed. Last, to address the contextual covariates of patient outcomes, a collection of core variables needed by nurse managers to make management decisions and compare nursing effectiveness across institutions and geographic regions is under development. In summary, standardized measures to determine cost effective, high quality, appropriate outcomes of nursing care delivered across settings and sites are being developed.
The clinical presence of impoirrd physical mubiiily documented for acute-care patients was studied. The frequency, individual, and group sensitivity levels of the defining characteristics documented as empirical referents for the diagnosis were examined. The frequency of the related factors associated with the diagnosis, patient demographics, length of stay (LOS), discharge destination, and diagnostic-related groups (DRGs) were also examined. Data were obtained from electronic tapes of patient infomation. Support was found for impaired mubilify. as a high-frequency diagnosis, in heterogeneous acute-care patients. No support was found for any major defining chararteristics across the heterogeneous sample. A cluster of three defining characteristics: (a) inability to purposefully move within the environment; (b) decreased muscle strength, control, or mass; and (c) imposed restrictions of movement was supported by group sensitivity measures. Major defining characteristics were supported in two DRC subsets. Clusters of defining Characteristics varied among four DRCs. The NANDA-preidentified related factors were associated with the diagnosis. Electronic storage and retrieval of computerized nursing data, including the elements of the Nursing Minimum Data Set (NMDS), was an effective, efficient method for data collection and analysis. Kw Word.: nursing diagnosis, impaired physical mobility, validation studies, resource database (nursing), nursing minimum data set PurposeThis study examined the diagnosis of impaired physical mobility in heterogeneous acute-care patients. The frequency and sensitivity of the defining characteristics that support the presence of the diagnosis were studied. The frequency with which the related factors, as listed by NANDA, were documented in the sample was also exam- Nursing Diagnosis
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