Search PubMed⌕ Search

PubMed · 8987275

Nursing intervention classification systems.

Abstract

PURPOSE: To analyze the features, development, and research of the Omaha System, the Iowa Nursing Intervention Classification, and the Home Health Care Classification and provide a critical review of the unique components of each. ORGANIZING FRAMEWORK: Five elements: achievement of original purpose, language used, ease of computerizing format, clinical utility, and linkage of the Nursing Minimum Data set (NMDS) nursing care elements. CONCLUSIONS: Further testing and development of nursing classification systems should be done to determine the general value of nursing classification, the extent to which the original goals and purposes of classification are met, and to identify the unique features and contributions of each system. Further testing is important to determine the strengths, weaknesses, and applicability of the various systems for capturing the elements of the NMDS for different care settings, care givers, and patient populations. IMPLICATIONS: Nursing classification may eventually lead to naming and describing the work of nurses. Research findings will continue to provide information leading to a unified nursing language system that describes the practice of nursing in local, regional, national, and international health-care data sets used for research, clinical, education, policy, and administrative purposes.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

K H Bowles, M D Naylor. 1996. Nursing intervention classification systems.. https://doi.org/10.1111/j.1547-5069.1996.tb00378.x

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

KEEP EXPLORING

Related citations

Changes, challenges and choices for the primary health care workforce: looking to the future.

AIMS: The main aim of this paper is to draw attention to problems facing the primary health care workforce in terms of demand for treatment of minor illness over the next two decades. These predictions have implications for the community nursing workforce in particular and the flexibility of primary health care teams in general. BACKGROUND: Care delivered in the primary care sector influences, and is influenced by, the characteristics of the health care workforce. These characteristics fall into two main groups: firstly, the shape of the present medical and nursing workforce and manpower trends; and secondly, the changes in doctors' and nurses' workloads. DESIGN: This paper draws on two studies, both commissioned by the Department of Health; the first study focusing on skill mix and delegation in primary health care teams and the second addressing the implications of skill mix for medical workforce scenarios in the changing policy environment. FINDINGS: From the first study, general practitioners across ten general practices were prepared to delegate at least one topic from over a third of 836 consultations and a further 17% of entire consultations. This potential delegation fell mainly to practice nurses and nurse practitioners. The second study used data extracted from the National Morbidity Surveys of 1981 and 1991 predicting that minor consultations are set to increase by 11 million from the 1990s to 2020--a minimal estimate. The authors argue that many of these extra predicted consultations will find their way onto practice nurses' and nurse practitioners' caseloads. CONCLUSIONS: Workforce issues and questions of professional roles and boundaries, in the context of the "greying" community nursing workforce, demand solutions if patient/client demand is to be met over the next two decades.

Community Health Nursing↗