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Biomedical subjects

C Delaney

Publications and source records attributed to C Delaney.

50 records · Page 3Linked to original sources
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Validation of defining characteristics of four nursing diagnoses using a computerized data base.

As the use of nursing diagnoses in clinical practice increases, systematic research is necessary to appropriately validate them. Validity studies could be expedited by the use of information technology and computerized clinical data bases. The purpose of the following descriptive study was to validate the defining characteristics (risk factors for potential diagnoses) of the four nursing diagnoses related to alterations in fluid volume proposed by the North American Nursing Diagnosis Association using a nursing minimum data set (NMDS) collected from a computerized nursing data base. A sensitivity measure, the proportion of subjects with specific defining characteristics for a given diagnosis among the total number of subjects with the respective diagnosis, was used to estimate validity. The study was conducted in a 265-bed, mid-western, community hospital in which computerized nursing diagnosis care planning is used. The elements of the NMDS and defining characteristics were collected from a systematic sample (N = 191). The sample consisted of a proportion of about half of computerized discharge patient care plan summaries from each of the four diagnostic labels related to alteration in fluid volume obtained from medical records during the 1987 calendar year. Discharge patient care plan summaries contained at least one of four nursing diagnoses related to alteration in fluid volume. The results show the existence of individual defining characteristics as well as combinations of defining characteristics meeting validation criteria for each diagnostic label. Never-documented defining characteristics also were identified.

Adolescent↗
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A nursing management minimum data set. Significance and development.

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.

Data Collection↗
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Mapping nursing intervention data into the Nursing Interventions Classification (NIC): process and rules.

TOPIC: Uniform language in nursing is needed to clearly depict the contributions of nursing in the healthcare arena but little data related to nursing interventions and patient outcomes are standardized. PURPOSE: To investigate the feasibility of mapping nonstandardized nursing interventions into standardized language using the Nursing Interventions Classification (NIC). SOURCE: Data from a Midwest community hospital's computerized information system. CONCLUSIONS: Results demonstrate that nonstandardized nursing orders can be mapped into standardized language using the NIC.

Data Collection↗
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Synthesis of methods, rules, and issues of standardizing nursing intervention language mapping.

TOPIC: Nursing language mapping. PURPOSE: To synthesize the methods, rules and issues described in two studies that mapped nonstandardized nursing orders/interventions into the Nursing Interventions Classification (NIC). SOURCES: The methods and results of studies conducted by Moorhead & Delaney and Coenen et al. CONCLUSIONS: Results indicate that the NIC is an effective classification of mapping nursing orders/interventions to support across-site comparisons of nursing treatments. A set of decision rules to support mapping of interventions to the NIC is outlined.

Decision Support Techniques↗
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Creating a resource database for nursing service administration.

In response to the current information explosion in nursing service administration (NSA), the authors felt a need to collect and organize available resources for use by their faculty and graduate students. An electronic database was developed to facilitate the use of the collected print and software resources. This article describes the creation of the NSA Resource Database from the time the need for it was realized to its completion. There is discussion regarding the criteria used for writing the database, what the database screens look like and why and what the database contains. The article also discusses the use and users of the NSA Resource Database to date.

Databases, Bibliographic↗
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Nursing management innovations: a need for systematic evaluation.

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.

Diffusion of Innovation↗
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ANA standards for nursing data sets in information systems.

The American Nurses Association has established the Nursing Information and Data Set Evaluation Center. The purpose of this Center is to develop and disseminate standards pertaining to information systems that support the documentation of nursing practice, and to evaluate voluntarily submitted information systems against these standards. The need for an evaluation center arises out of a long history of calls for standards pertaining to nursing data and information systems. These calls have come from the Secretary of Health and Human Services Commission on Nursing, the National Commission on Nursing Implementation Project, and a joint Task Force appointed by the Congress of Nursing Practice Steering Committee on Databases to Support Clinical Nursing Practice and the Congress of Nursing Practice Committee on Nursing Practice Standards and Guidelines. Standards have been developed to evaluate the completeness, accuracy and appropriateness of four dimensions of nursing data sets and the systems that contain them: (1) nomenclature, (2) clinical content, (3) clinical data repository, and (4) general system characteristics.

Academies and Institutes↗