Literature DB >> 16046753

"See and Treat": spreading like wildfire? A qualitative study into factors affecting its introduction and spread.

S Saint Lamont1.   

Abstract

OBJECTIVES: The aim of this paper was to explore key factors that influenced the spread of "See and Treat" in a range of accident and emergency (A&E) departments.
METHODS: The study adopted a qualitative approach, and semi-structured interviews were undertaken with 21 key individuals working across 10 A&E departments operating See and Treat. Participants included clinicians, managers, and chief executives.
RESULTS: Many factors influenced the spread of See and Treat. The initiative was well supported and monitored by external agencies, patients benefited and no staff groups lost out, waiting times were reduced, and Department of Health targets were achieved. However, this study indicates there were also a range of factors that limited the spread of See and Treat, including lack of additional resources and suitably experienced staff, impact upon quality of care, and no prior evaluation of its benefits. An interesting additional factor that may be both facilitating and limiting is the complexity of the A&E culture, in particular staff perspectives about working with minor injuries.
CONCLUSIONS: See and Treat was promoted as a solution to waiting times problems in A&E, without evidence from any national evaluation. However, many staff members referred to its usefulness as a tool to reduce waiting times and enhance the patient journey, although resource, quality, and staffing issues may mean such an initiative may be difficult to sustain in its present form.

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Year:  2005        PMID: 16046753      PMCID: PMC1726899          DOI: 10.1136/emj.2004.016303

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  7 in total

1.  The effect of a separate stream for minor injuries on accident and emergency department waiting times.

Authors:  M W Cooke; S Wilson; S Pearson
Journal:  Emerg Med J       Date:  2002-01       Impact factor: 2.740

2.  See and Treat: a management driven method of achieving targets or a tool for better patient care? One size does not fit all.

Authors:  A M Leaman
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

3.  One size does not fit all. View 2.

Authors:  K Castille; M Cooke
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

4.  Don't throw triage out with the bathwater.

Authors:  J Windle; K Mackway-Jones
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

5.  Turbulent times.

Authors:  J Wardrope; P Driscoll
Journal:  Emerg Med J       Date:  2003-03       Impact factor: 2.740

6.  An evaluation of the care of patients with minor injuries in emergency settings.

Authors:  G Byrne; M Richardson; J Brunsdon; A Patel
Journal:  Accid Emerg Nurs       Date:  2000-04

7.  Faculty triage shortens emergency department length of stay.

Authors:  S N Partovi; B K Nelson; E D Bryan; M J Walsh
Journal:  Acad Emerg Med       Date:  2001-10       Impact factor: 3.451

  7 in total
  6 in total

Review 1.  Generic qualitative research: a design for qualitative research in emergency care?

Authors:  S Cooper; R Endacott
Journal:  Emerg Med J       Date:  2007-12       Impact factor: 2.740

2.  Implementing performance improvement in New Zealand emergency departments: the six hour time target policy national research project protocol.

Authors:  Peter Jones; Linda Chalmers; Susan Wells; Shanthi Ameratunga; Peter Carswell; Toni Ashton; Elana Curtis; Papaarangi Reid; Joanna Stewart; Alana Harper; Tim Tenbensel
Journal:  BMC Health Serv Res       Date:  2012-02-21       Impact factor: 2.655

3.  National targets, process transformation and local consequences in an NHS emergency department (ED): a qualitative study.

Authors:  Paraskevas Vezyridis; Stephen Timmons
Journal:  BMC Emerg Med       Date:  2014-06-13

4.  Spreading and sustaining best practices for home care of older adults: a grounded theory study.

Authors:  Jenny Ploeg; Maureen Markle-Reid; Barbara Davies; Kathryn Higuchi; Wendy Gifford; Irmajean Bajnok; Heather McConnell; Jennifer Plenderleith; Sandra Foster; Sue Bookey-Bassett
Journal:  Implement Sci       Date:  2014-11-07       Impact factor: 7.327

Review 5.  Machine learning in patient flow: a review.

Authors:  Rasheed El-Bouri; Thomas Taylor; Alexey Youssef; Tingting Zhu; David A Clifton
Journal:  Prog Biomed Eng (Bristol)       Date:  2021-02-22

6.  'See and Treat' Clinic Service Evaluation at a Tertiary Care Hospital in Abu Dhabi.

Authors:  Ward Ebrahim Abdullah Ghaleb; Ayesha Almemari; Hasan Qayyum
Journal:  Oman Med J       Date:  2020-03-08
  6 in total

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