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Literature DB >> 19638932

Using the nursing interventions classification as a potential measure of nurse workload.

Pamela B de Cordova¹, Robert J Lucero, Sookyung Hyun, Patricia Quinlan, Kwanza Price, Patricia W Stone.

Abstract

Standardized terminologies, such as the Nursing Interventions Classification (NIC) taxonomy, may be used in multiple ways to represent nursing constructs. This study is the first known to explore the NIC as a framework for the development of a nursing workload measure. While the NIC may not represent the complexity of nurses' work, the classification system may represent uniformly the work of nurses in health information systems to yield reliable data for a nursing workload measure.

Entities: Disease Species

Mesh：

Year: 2010 PMID： 19638932 PMCID： PMC2869293 DOI： 10.1097/NCQ.0b013e3181b3e69d

Source DB: PubMed Journal: J Nurs Care Qual ISSN： 1057-3631 Impact factor: 1.597

16 in total

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Review 3. Workload and patient safety among critical care nurses.

Authors: Pascale Carayon; Carla J Alvarado
Journal: Crit Care Nurs Clin North Am Date: 2007-06 Impact factor: 1.326

4. Nursing interventions classification in systematized nomenclature of medicine clinical terms: a cross-mapping validation.

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Journal: Comput Inform Nurs Date: 2007 Jul-Aug Impact factor: 1.985

5. Evidence-based staffing: potential roles for informatics.

Authors: Sookyung Hyun; Suzanne Bakken; Kathy Douglas; Patricia W Stone
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6. Use of electronic health records in U.S. hospitals.

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7. A brief history of nursing informatics in the United States of America.

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8. Nurse staffing in hospitals: is there a business case for quality?

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Review 9. The association of registered nurse staffing levels and patient outcomes: systematic review and meta-analysis.

Authors: Robert L Kane; Tatyana A Shamliyan; Christine Mueller; Sue Duval; Timothy J Wilt
Journal: Med Care Date: 2007-12 Impact factor: 2.983

Review 10. The economic value of professional nursing.

Authors: Timothy M Dall; Yaozhu J Chen; Rita Furst Seifert; Peggy J Maddox; Paul F Hogan
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2. Assessing Intensity of Nursing Care Needs Using Electronically Available Data.

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Review 3. Use of the Nursing Interventions Classification and Nurses' Workloads: A Scoping Review.

Authors: Claudio-Alberto Rodríguez-Suárez; Martín Rodríguez-Álvaro; Alfonso-Miguel García-Hernández; Domingo-Ángel Fernández-Gutiérrez; Carlos-Enrique Martínez-Alberto; Pedro-Ruymán Brito-Brito
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4. Availability of patient classification using clinical data.

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5. Factors affecting intensive care units nursing workload.

Authors: Mohammadkarim Bahadori; Ramin Ravangard; Mehdi Raadabadi; Seyed Masod Mosavi; Mohammad Gholami Fesharaki; Fardin Mehrabian
Journal: Iran Red Crescent Med J Date: 2014-08-05 Impact factor: 0.611

6. Creating and validating an instrument to identify the workload at an oncology and hematology outpatient service.

Authors: Lelia Gonçalves Rocha Martin; Raquel Rapone Gaidzinski
Journal: Einstein (Sao Paulo) Date: 2014-09

7. Use of the nursing intervention classification for identifying the workload of a nursing team in a surgical center.

Authors: João Francisco Possari; Raquel Rapone Gaidzinski; Antônio Fernandes Costa Lima; Fernanda Maria Togeiro Fugulin; Tracy Heather Herdman
Journal: Rev Lat Am Enfermagem Date: 2015 Sep-Oct

8. Resources-tasks imbalance: Experiences of nurses from factors influencing workload to increase.

Authors: Mojgan Khademi; Easa Mohammadi; Zohreh Vanaki
Journal: Iran J Nurs Midwifery Res Date: 2015 Jul-Aug

9. Assessing time use in long-term institutional care: development, validity and inter-rater reliability of the Groningen Observational instrument for Long-Term Institutional Care (GO-LTIC).

Authors: Astrid Tuinman; Mathieu de Greef; Roos Nieweg; Wolter Paans; Petrie Roodbol
Journal: BMC Nurs Date: 2016-02-29

10. Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion.

Authors: Peter Griffiths; Christina Saville; Jane Ball; Jeremy Jones; Natalie Pattison; Thomas Monks
Journal: Int J Nurs Stud Date: 2019-11-29 Impact factor: 5.837