PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 10175456

The International Classification for Nursing Practice: a progress report.

D J Clark
View original source ↗Export metadata ↓

Abstract

This paper will review and report progress on the development of the International Classification for Nursing Practice. This project, begun in 1990 by the International Council of Nurses, aims to develop a standardised vocabulary and classification of nursing phenomena (nursing diagnoses), nursing interventions, and nursing outcomes which can be used in both electronic and paper records to describe and compare nursing practice across clinical settings. An Alpha Version of the Classification of Nursing Phenomena and Nursing Interventions was released for further development and field testing in 1996 and an outline for a Classification of Nursing Outcomes in 1997. Nurses around the world, and other classification experts, have been invited to participate in the development of the Beta Version which it is hoped will be ready for release in 1999.

Explore related subjects

ClassificationHumansInternational CooperationNursingVocabulary, ControlledJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

D J Clark. 1997. The International Classification for Nursing Practice: a progress report.. https://pubmed.ncbi.nlm.nih.gov/10175456/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Development of an ecologic marine classification in the new zealand region.

We describe here the development of an ecosystem classification designed to underpin the conservation management of marine environments in the New Zealand region. The classification was defined using multivariate classification using explicit environmental layers chosen for their role in driving spatial variation in biologic patterns: depth, mean annual solar radiation, winter sea surface temperature, annual amplitude of sea surface temperature, spatial gradient of sea surface temperature, summer sea surface temperature anomaly, mean wave-induced orbital velocity at the seabed, tidal current velocity, and seabed slope. All variables were derived as gridded data layers at a resolution of 1 km. Variables were selected by assessing their degree of correlation with biologic distributions using separate data sets for demersal fish, benthic invertebrates, and chlorophyll-a. We developed a tuning procedure based on the Mantel test to refine the classification's discrimination of variation in biologic character. This was achieved by increasing the weighting of variables that play a dominant role and/or by transforming variables where this increased their correlation with biologic differences. We assessed the classification's ability to discriminate biologic variation using analysis of similarity. This indicated that the discrimination of biologic differences generally increased with increasing classification detail and varied for different taxonomic groups. Advantages of using a numeric approach compared with geographic-based (regionalisation) approaches include better representation of spatial patterns of variation and the ability to apply the classification at widely varying levels of detail. We expect this classification to provide a useful framework for a range of management applications, including providing frameworks for environmental monitoring and reporting and identifying representative areas for conservation.

Classification↗
PubMed2007

SINEs of progress: Mobile element applications to molecular ecology.

Mobile elements represent a unique and under-utilized set of tools for molecular ecologists. They are essentially homoplasy-free characters with the ability to be genotyped in a simple and efficient manner. Interpretation of the data generated using mobile elements can be simple compared to other genetic markers. They exist in a wide variety of taxa and are useful over a wide selection of temporal ranges within those taxa. Furthermore, their mode of evolution instills them with another advantage over other types of multilocus genotype data: the ability to determine loci applicable to a range of time spans in the history of a taxon. In this review, I discuss the application of mobile element markers, especially short interspersed elements (SINEs), to phylogenetic and population data, with an emphasis on potential applications to molecular ecology.

Classification↗