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Development of a nurse executive decision support database. A model for outcomes evaluation.
J Nurs Adm. 1996 Oct; 26(10):15-21.JN

Abstract

It is increasingly more important that nurse executives systematically evaluate innovations and changes in nursing practice and management. To plan effectively, data elements that are most appropriate for decision making must be identified and strategies for data collection and analysis must be formulated. The author describes a model in which an identifiable group of clinical, fiscal, quality, productivity, and care provider variables serve as data for baseline and later comparative evaluations.

Authors+Show Affiliations

Patient Care Services, Butterworth Hospital, Grand Rapids, Michigan, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

8858010

Citation

Urden, L D.. "Development of a Nurse Executive Decision Support Database. a Model for Outcomes Evaluation." The Journal of Nursing Administration, vol. 26, no. 10, 1996, pp. 15-21.
Urden LD. Development of a nurse executive decision support database. A model for outcomes evaluation. J Nurs Adm. 1996;26(10):15-21.
Urden, L. D. (1996). Development of a nurse executive decision support database. A model for outcomes evaluation. The Journal of Nursing Administration, 26(10), 15-21.
Urden LD. Development of a Nurse Executive Decision Support Database. a Model for Outcomes Evaluation. J Nurs Adm. 1996;26(10):15-21. PubMed PMID: 8858010.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Development of a nurse executive decision support database. A model for outcomes evaluation. A1 - Urden,L D, PY - 1996/10/1/pubmed PY - 1996/10/1/medline PY - 1996/10/1/entrez SP - 15 EP - 21 JF - The Journal of nursing administration JO - J Nurs Adm VL - 26 IS - 10 N2 - It is increasingly more important that nurse executives systematically evaluate innovations and changes in nursing practice and management. To plan effectively, data elements that are most appropriate for decision making must be identified and strategies for data collection and analysis must be formulated. The author describes a model in which an identifiable group of clinical, fiscal, quality, productivity, and care provider variables serve as data for baseline and later comparative evaluations. SN - 0002-0443 UR - https://www.unboundmedicine.com/medline/citation/8858010/Development_of_a_nurse_executive_decision_support_database__A_model_for_outcomes_evaluation_ L2 - https://doi.org/10.1097/00005110-199610000-00005 DB - PRIME DP - Unbound Medicine ER -