Medical Emergency Team call within 24 h of medical admission with a focus on sepsis: a retrospective review.

BACKGROUND AND AIMS: Clinical deterioration within the first 24 h of patient admission triggering a Medical Emergency Team (MET) call is a common occurrence. A greater understanding of these events, with a focus on the recognition and management of sepsis, could lead to quality improvement interventions. METHODS: A retrospective observational review of general and subspecialty medical admissions triggering a MET call within 24 h of admission at a quaternary Australian hospital. RESULTS: 2648 MET calls occurred (47.9/1000 admissions), 527 (20% of total MET events, 9.5/1000 admissions) within 24 h of admission, with the trigger more likely to be hypotension (odds ratio: 1.5, P = 0.0013). There were 263 MET calls to 217 individual medical patients within 24 h of admission, of which 84 (38.7%) were admitted with suspected infection, 69% of which fulfilled sepsis criteria. Of these, 36.2% received antimicrobial therapy within the recommended timeframe and 39.6% received antibiotics in line with hospital guidelines. Sepsis was initially missed in 11% of patients. Afferent limb failure occurred in 29% of patients with 40.5% experiencing a failure of the ward-based response to deterioration prior to MET call. Median hospital length of stay was increased in patients admitted with suspected infection (7 vs 5 days, P = 0.015) and in those with sepsis not receiving antimicrobial therapy within guideline timeframes (9 vs 4 days, P = 0.017). CONCLUSION: There is a significant opportunity to improve care for patients who trigger a MET within 24 h of admission. This study supports the implementation of a hospital sepsis management guideline.

Exploration of clinicians' decision-making regarding transfer of patient care from the emergency department to a medical assessment unit: A qualitative study.

BACKGROUND: Hospitals face immense pressures in balancing patient throughput. Medical assessment units have emerged as a commonplace response to improve the flow of medical patients presenting to the emergency department requiring hospital admission and to ease overcrowding in the emergency department. The aim of this study was to understand factors influencing the decision-making behaviour of key stakeholders involved in the transfer of care of medical patients from one service to the other in a large, tertiary teaching hospital in Queensland, Australia. METHODS: We used a qualitative approach drawing on data from focus groups with key informant health and professional staff involved in the transfer of care. A theoretically-informed, semi-structured focus group guide was used to facilitate discussion and explore factors impacting on decisions made to transfer care of patients from the emergency department to the medical assessment unit. Thematic analysis was undertaken to look for patterns in the data. RESULTS: Two focus groups were conducted with a total of 15 participants. Four main themes were identified: (1) we have a process-we just don't use it; (2) I can do it, but can they; (3) if only we could skype them; and (4) why can't they just go up. Patient flow relies on efficiency in two processes-the transfer of care and the physical re-location of the patient from one service to the other. The findings suggest that factors other than clinical reasoning are at play in influencing decision-making behaviour. CONCLUSIONS: Acknowledgement of the interaction within and between professional and health staff (human factors) with the organisational imperatives, policies, and process (system factors) may be critical to improve efficiencies in the service and minimise the introduction of workarounds that might compromise patient safety.

Effectiveness of clinical criteria in directing patient flow from the emergency department to a medical assessment unit in Queensland, Australia: a retrospective chart review of hospital administrative data.

BACKGROUND: Medical Assessment Units (MAUs) have become a popular model of acute medical care to improve patient flow through timely clinical assessment and patient management. The purpose of this study was to determine the effectiveness of a consensus-derived set of clinical criteria for patient streaming from the Emergency Department (ED) to a 15-bed MAU within the highly capacity-constrained environment of a large quaternary hospital in Queensland, Australia. METHODS: Clinically coded data routinely submitted for inter-hospital benchmarking purposes was used to identify the cohort of medical admission patients presenting to the ED in February 2016 (summer) and June 2016 (winter). A retrospective review of patient medical records for this cohort was then conducted to extract MAU admission data, de-identified patient demographic data, and clinical criteria. The primary outcome was the proportion of admissions that adhered to the MAU admission criteria. RESULTS: Of the total of 540 included patients, 386 (71 %) patients were deemed to meet the MAU eligibility admission criteria. Among patients with MAU indications, 66 % were correctly transferred (95 % CI: 61 to 71) to the MAU; this estimated sensitivity was statistically significant when compared with random allocation (p-value < 0.001). Transfer outcomes for patients with contraindications were subject to higher uncertainty, with a high proportion of these patients incorrectly transferred to the MAU (73 % transferred; 95 % CI: 50 to 89 %; p-value = 0.052). CONCLUSIONS: Based on clinical criteria, approximately two-thirds of patients were appropriately transferred to the MAU; however, a larger proportion of patients were inappropriately transferred to the MAU. While clinical criteria and judgement are generally established as the process in making decisions to transfer patients to a limited-capacity MAU, our findings suggest that other contextual factors such as bed availability, time of day, and staffing mix, including discipline profile of decision-making staff during ordinary hours and after hours, may influence decisions in directing patient flow. Further research is needed to better understand the interplay of other determinants of clinician decision making behaviour to inform strategies for improving more efficient use of MAUs, and the impact this has on clinical outcomes, length of stay, and patient flow measures in MAUs.

Geriatric syndromes in individuals admitted to vascular and urology surgical units.

OBJECTIVES: To document the incidence of geriatric syndromes (delirium, functional decline, falls, and pressure ulcers) in two surgical units and to determine the association between the occurrence of geriatric syndromes and admission type (elective vs nonelective), severity of surgery, and surgical subspecialty unit. DESIGN: Retrospective cohort study. SETTING: One vascular surgical unit and one urology surgical unit in an Australian tertiary teaching hospital. PARTICIPANTS: Individuals aged 65 and older admitted to a study unit for 3 days or more (N = 112). MEASUREMENTS: Delirium was identified using a validated chart extraction tool. Functional decline from admission to discharge was identified from nursing documentation. Falls were identified according to documentation in the medical record cross-checked with the hospital incident reporting system. Pressure ulcers were identified according to documentation in the medical record. RESULTS: Geriatric syndromes were present in 32% of participants. Delirium was identified in 21%, functional decline in 14%, falls in 8%, and pressure ulcers in 5%. Individuals admitted directly from the emergency or outpatient department and interhospital transfers (nonelective) were significantly more likely to develop any geriatric syndrome than those on an elective surgery list before admission to the hospital (41% vs 18%, P = .01). In multivariable analysis, nonelective admission (odds ratio (OR) = 3.3, 95% confidence interval (CI) = 1.6-4.7, P = .005), major surgery (OR = 3.1, 95% CI = 1.7-3.7, P = .004) and preexisting impairment in activities of daily living (OR 2.9, 95% CI 1.5-3.6, P = .007) increased the likelihood of geriatric syndromes. CONCLUSION: Geriatric syndromes are common in older adults undergoing surgery, and nonelective admission and major surgery increase the likelihood of geriatric syndromes occurring during hospitalization. Baseline dependency in ADLs is an important risk factor for the occurrence of these conditions.