2003
DOI: 10.1046/j.1478-5153.2003.00009.x
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Nurse‐led discharge from high dependency unit

Abstract: High dependency care is a rapidly evolving area of critical care, with high patient turnover, which ultimately leads to high levels of pressure for beds. There is a growing trend emerging, recognizing the importance and value of nurse-led initiatives in delivering effective nursing care in acute care settings. One specific nurse-led initiative this author has developed is that of nurse-led discharge (NLD) from the high dependency unit (HDU), in order to optimize the utilization of critical care beds within the… Show more

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Cited by 14 publications
(19 citation statements)
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“…It would need to be sufficiently sensitive as to recommend high numbers of potential discharges, whilst providing enough specificity to retain clinician engagement. Here we have detailed the development of two machine learning algorithms intended for such a purpose, and demonstrated their performance improvement over a previously published set of criteria that were originally aimed at discharge automation [22]. At a threshold specificity of 0.7, the algorithm with best overall performance achieved mean sensitivities of 0.8909 and 0.9049 for the GICU and MIMIC cohorts respectively (table 7 in section D of the online supplementary file).…”
Section: Discussionmentioning
confidence: 97%
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“…It would need to be sufficiently sensitive as to recommend high numbers of potential discharges, whilst providing enough specificity to retain clinician engagement. Here we have detailed the development of two machine learning algorithms intended for such a purpose, and demonstrated their performance improvement over a previously published set of criteria that were originally aimed at discharge automation [22]. At a threshold specificity of 0.7, the algorithm with best overall performance achieved mean sensitivities of 0.8909 and 0.9049 for the GICU and MIMIC cohorts respectively (table 7 in section D of the online supplementary file).…”
Section: Discussionmentioning
confidence: 97%
“…A range of different tools and methods have previously been proposed with the aim of improving ICU discharge practice. These tools range from criteria to evaluate discharge readiness [22,42], to guidelines for discharge planning and education [6]. Additionally, a number of risk models have been developed to predict adverse outcomes following ICU discharge [11][12][13]15,43].…”
Section: Discussionmentioning
confidence: 99%
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“…Hospital stay can be reduced by interventions, which hasten the time of discharge. 16 These include: (1) more systematic use of clinical guidelines and care pathways that decrease LOS without compromising safety 17 ; (2) regular multidisciplinary meetings using patient journey boards that focus team efforts on meeting a nominated date of discharge; (3) daily morning ward rounds by medical teams that take precedence over clinics or other discretionary activities; (4) nurse-led discharge whereby nurses are authorised, especially after-hours, to discharge patients who meet certain clinical criteria rather than wait for consultant rounds 18 ; (5) access to transit and discharge areas so beds can be vacated quickly; (6) timely access to comprehensive geriatric assessment teams, aged care and assessment teams, and other gate-keepers who determine patient eligibility for geriatric rehabilitation beds, residential care beds or transitional care packages; (7) same-day consultant responses for inter-speciality requests for advice on acute management; (8) prioritised access to urgent pathology and radiology services required for acute cases 19 ; and (9) routine assignment of medical teams to surgical patients at high risk of prolonged stay and perioperative complications. 20 (C) Better integration of inpatient care with post-discharge care.…”
mentioning
confidence: 99%