Biomedical subjects
Publications and source records attributed to D G Huber.
Use of assistive nursing personnel generates fear, uncertainty and lack of trust in many RNs, yet most agree that "help is needed." The nursing profession must develop minimum standards, a code of ethics and appropriate preparation for nursing assistants. They are here to stay!
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 authors analyze the Medical Outcomes Study framework as a means of measuring the effectiveness of a multidimensional, interdisciplinary health care delivery system. The potential for this model to measure outcomes resulting from the interventions of nurses is demonstrated. The similarities between variables in the Medical Outcomes Study (MOS) framework and in research in nursing are presented. Modifications in the framework are suggested that would represent the collaboration among physicians, nurses, and allied health practitioners and the influence of their interaction on patient outcomes. The authors also suggest adding the domain of societal outcomes to include such outcome variables as cost. These modifications will enhance future health outcomes research based on the MOS conceptual framework and will encourage investigations of the interactive effects of health care providers on patient outcomes.
Building on Werley's nursing minimum data set, the authors identified a nursing management minimum data set (NMMDS). This collection of core data elements is needed by nurse administrators to make management decisions and compare effectiveness across institutions.
While emphasis in nursing is placed on research on clinical interventions, there has been little attention to the equally important management interventions. The concept of a management intervention or innovation is introduced here and five types of management innovations in nursing are identified. An overview of the research base for four of the innovations demonstrates the need for systematic evaluation.