Literature DB >> 15509408

Do different types of nurses give different triage decisions in NHS Direct? A mixed methods study.

Alicia O'cathain1, Jon Nicholl, Fiona Sampson, Stephen Walters, Ann McDonnell, James Munro.   

Abstract

OBJECTIVES: To determine whether nurses with different clinical backgrounds make different triage decisions in NHS Direct, the 24-hour telephone helpline staffed by nurses.
METHODS: Mixed methods including semistructured interviews with 24 nurses and a multilevel analysis of 60 794 calls triaged by 296 nurses.
RESULTS: Nurse accounts helped to identify nurse characteristics that might affect decision-making. The proportion of calls triaged to self-care was 40% (24 049/60 794), varying by individual nurse from a 10th centile of 22% to a 90th centile of 60%, after adjustment for the age and sex of the patient and the time of the call. Variability was partly explained by the length of clinical experience of nurses and the type of software used: nurses with more than 20 years clinical experience were more likely to triage callers to self-care than those with less than ten years experience (42% versus 36%, respectively; odds ratio = 1.41, 95% confidence interval 1.13, 1.78). Proportions triaged to selfcare differed by the type of clinical decision support software used: 31%, 37% and 44%. There was no evidence that the clinical background of nurses (hospital or community), their length of experience in NHS Direct, the range of their experience, or their gender affected triage decisions. Interviews identified that nursing characteristics affected individual nurses in different ways and helped to generate a hypothesis for future research - that individual nurses' approaches to risk may influence triage decisions.
CONCLUSION: There is no likely benefit in narrowing nurse recruitment to particular clinical backgrounds. The appropriateness of triage decisions still needs to be evaluated.

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Year:  2004        PMID: 15509408     DOI: 10.1258/1355819042250221

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  13 in total

1.  Telephone triage by GPs in out-of-hours primary care in Denmark: a prospective observational study of efficiency and relevance.

Authors:  Linda Huibers; Grete Moth; Anders H Carlsen; Morten B Christensen; Peter Vedsted
Journal:  Br J Gen Pract       Date:  2016-07-18       Impact factor: 5.386

2.  Telephone triage by nurses in primary care out-of-hours services in Norway: an evaluation study based on written case scenarios.

Authors:  Elisabeth Holm Hansen; Steinar Hunskaar
Journal:  BMJ Qual Saf       Date:  2011-01-24       Impact factor: 7.035

3.  Nurse telephone triage in out-of-hours GP practice: determinants of independent advice and return consultation.

Authors:  Eric Peter Moll van Charante; Gerben ter Riet; Sara Drost; Loes van der Linden; Niek S Klazinga; Patrick J E Bindels
Journal:  BMC Fam Pract       Date:  2006-12-12       Impact factor: 2.497

4.  Tracking the spatial diffusion of influenza and norovirus using telehealth data: a spatiotemporal analysis of syndromic data.

Authors:  Duncan L Cooper; Gillian E Smith; Martyn Regan; Shirley Large; Peter P Groenewegen
Journal:  BMC Med       Date:  2008-06-26       Impact factor: 8.775

5.  The effect of nurses' preparedness and nurse practitioner status on triage call management in primary care: A secondary analysis of cross-sectional data from the ESTEEM trial.

Authors:  Anna Varley; Fiona C Warren; Suzanne H Richards; Raff Calitri; Katherine Chaplin; Emily Fletcher; Tim A Holt; Valerie Lattimer; Jamie Murdoch; David A Richards; John Campbell
Journal:  Int J Nurs Stud       Date:  2016-02-11       Impact factor: 5.837

6.  Telephone triage in general practices: A written case scenario study in the Netherlands.

Authors:  Marleen Smits; Suzan Hanssen; Linda Huibers; Paul Giesen
Journal:  Scand J Prim Health Care       Date:  2016-02-19       Impact factor: 2.581

7.  Advice given by NHS Direct in Wales: do deprived patients get more urgent decisions? Study of routine data.

Authors:  Julie Peconi; Steven Macey; Sarah Rodgers; Ian Russell; Helen Snooks; Alan Watkins
Journal:  J Epidemiol Community Health       Date:  2017-07-21       Impact factor: 3.710

8.  An evaluation of the appropriateness of advice and healthcare contacts made following calls to NHS Direct Wales.

Authors:  Helen Snooks; Julie Peconi; James Munro; Wai-Yee Cheung; Jaynie Rance; Anne Williams
Journal:  BMC Health Serv Res       Date:  2009-09-30       Impact factor: 2.655

9.  Effects of algorithm for diagnosis of active labour: cluster randomised trial.

Authors:  Helen Cheyne; Vanora Hundley; Dawn Dowding; J Martin Bland; Paul McNamee; Ian Greer; Maggie Styles; Carol A Barnett; Graham Scotland; Catherine Niven
Journal:  BMJ       Date:  2008-12-08

10.  The effect of attitude to risk on decisions made by nurses using computerised decision support software in telephone clinical assessment: an observational study.

Authors:  Alicia O'Cathain; James Munro; Iain Armstrong; Catherine O'Donnell; David Heaney
Journal:  BMC Med Inform Decis Mak       Date:  2007-11-29       Impact factor: 2.796

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