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Published article online:
22 Aug 2006
Issue online:
22 Aug 2006

Submitted for publication: 8 February 2005 Accepted for publication: 7 September 2005

Journal of Clinical Nursing

Journal of Clinical Nursing

Volume 15 Issue 10 Page 1324-1335, October 2006

To cite this article: Alison Twycross MSc, PhD, RGN, RMN, RSCN, Lucy Powls RGN, RM, ADM, MA (2006) How do children's nurses make clinical decisions? Two preliminary studies
Journal of Clinical Nursing 15 (10) , 1324–1335 doi:10.1111/j.1365-2702.2006.01453.x

Abstract

CHILDREN AND FAMILIES

How do children's nurses make clinical decisions? Two preliminary studies

  • Alison Twycross MSc, PhD, RGN, RMN, RSCN and
  • Lucy Powls RGN, RM, ADM, MA
  • Principal Lecturer in Children's Nursing, Faculty of Health Care and Social Sciences, Kingston University – St George's University of London, London, UK
  • Practice Development Midwife, Women's & Children's Directorate, Acute Services Division of NHSGG, Yorkhill Site, Glasgow, UK
Alison Twycross
Principal Lecturer in Children's Nursing
Faculty of Health Care and Social Sciences
Kingston University – St. George's University of London
2nd Floor Grovesnor Wing Cranmer Terrace London
SW17 0RE
UK
Telephone: 020 8725 0379
E-mail: atwycros@hscs.sgul.ac.uk
twycross a & powls l (2006)  Journal of Clinical Nursing 15, 1324–1335
How do children's nurses make clinical decisions? Two preliminary studies

Abstract

Aims and objectives. To gain an understanding of how children's nurses make clinical decisions.

Background. Several studies have explored how nurses make clinical decisions and the factors that may affect the decision-making strategies used. However, the results of these studies are contradictory. Further, little is known about children's nurses’ decision-making strategies.

Design. The think aloud technique.

Methods. Nurses (n = 12) from three surgical wards and nurses (n = 15) from three medical wards in a Scottish children's hospital were presented with clinical scenarios and asked to think aloud. The verbal protocols were analysed to provide an indication of how children's nurses made decisions. Whether there were any differences in decision-making between experienced and less experienced nurses and between graduates and non-graduates was also explored.

Results. Analysis of verbal protocols obtained using the think aloud technique suggested that all the nurses in the sample used a hypothetico-deductive (analytical) model of decision-making. Further, all participants appeared to use backward reasoning strategies regardless of their level of expertise. This is a characteristic of non-expert decision-making. Experienced and less experienced nurses collected similar additional information before planning nursing interventions, supporting the conjecture that they were functioning at a non-expert level in relation to decision-making. No differences were seen in the information collected by graduate and non-graduate nurses.

Conclusions. The decision-making strategies of children's nurses need exploring further and further research is needed to identify factors that may affect decision-making strategies. Several strategies to support nurses’ clinical decision-making have been proposed but need testing to ascertain their effectiveness.

Relevance to clinical practice. In clinical practice nurses make numerous decisions throughout the course of a shift. Sub-optimal decision-making strategies may adversely affect the quality of nursing care provided. It is imperative, therefore, to ascertain how nurses make clinical decisions and the factors that may influence the decision-making strategies used.

This article is cited by:

  • Deborah Long MN, Jeanine Young BSc, PhD, RGN, FRCNA and Linda Shields PhD, FRCNA, FRSA. (2007) Commentary on Twycross A and Powls L (2006) How do children's nurses make clinical decisions? Two preliminary studies. Journal of Clinical Nursing 15, 1324–1335. Journal of Clinical Nursing 16:9, 1778–1782
  • Hyeoneui Kim, Marcelline R. Harris, Guergana K. Savova, Stuart M. Speedie, Christopher G. Chute. (2007) Toward Near Real-Time Acuity Estimation. Nursing Research 56:4, 288


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