Literature DB >> 31233336

Factors affecting patient flow in a neurosurgery department.

S Irvine1, M Awan2, F Chharawala2, D Bhagawati2, N Lawrance3, G Peck4, D Peterson2, S Banerjee5, S Camp2.   

Abstract

INTRODUCTION: Patient flow is the process by which movement of patients and clinical productivity is achieved. The objectives of this study were to implement and evaluate the NHS Improvement SAFER patient flow bundle, evaluate the impact of the Red2Green initiative, and assess the impact of frailty on patient flow.
MATERIALS AND METHODS: All patients admitted to a neurosurgery unit from 1 September to 30 November 2017 were included. Using guidance set out by NHS, data were prospectively collected from daily ward lists and patient notes, including demographics, admission and discharge details, length of stay, anticipated discharge date, red days with reasons and frailty (Rockwood Clinical Frailty Scale). NHS reference costs were used for cost analyses.
RESULTS: A total of 420 patients (55% elective) were included, totalling 3909 bed days. All patients received daily senior reviews before midday, and anticipated discharge dates were set at daily multidisciplinary team meetings. Ten per cent of patients were discharged before midday. There were 21% (837) red days, significantly more (76%) for emergency patients (639 vs 198 elective; P < 0.001); 63% red days were attributed to awaiting a bed in a local hospital; 25% (106) patients were classed as frail (50 elective), which was associated with a significantly longer length of stay (17.3 vs 6; P < 0.01), and more red days (615 vs 222; p<0.01). Considering excess bed charges and lost revenue (with penalties), red days cost over £1 million per year.
CONCLUSIONS: SAFER has identified areas for improvement in patient flow, with obvious cost implications. It has created a platform for discussion within the referral network and identified a role for a geriatric liaison service.

Entities:  

Keywords:  Bed occupation; Cost; Frailty; Length of stay; Neurosurgery

Mesh:

Year:  2019        PMID: 31233336      PMCID: PMC6937602          DOI: 10.1308/rcsann.2019.0090

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  8 in total

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Authors:  Sara A Kreindler
Journal:  BMC Health Serv Res       Date:  2017-07-12       Impact factor: 2.655

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  8 in total

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