Thomas Knight

Thomas Knight

Affiliations: Sandwell and West Birmingham NHS Trust, Department of Acute Medicine, Birmingham, United Kingdom

All Journals from Thomas Knight

Acute care service performance during winter: report from the winter SAMBA 2020 national audit of acute care

The Winter Society for Acute Medicine Benchmarking Audit (SAMBA) provides the first comparison of performance within acute medicine against clinical quality indicators during winter, a time of increased pressure and demand on acute services.

105 hospitals participated in Winter SAMBA, collecting data over 24-hours on 30th January 2020. 5626 patients were included. Participating units saw a median of 48 patients (range 13-131).

Comparison between Winter SAMBA and SAMBA19 found less patients had an early warning score within 30 minutes during winter (74.3% vs 78.9%) and less were seen by a clinical decision maker within four hours (84.9% vs 87.9%). Unplanned admissions represented a higher proportion of workload (92.5% vs 90.1%). Patients were more likely to have a NEWS2 score of 3 or higher (30.1% vs 25.7%).

Performance is poorer in winter, and patients are more unwell, needing prompt treatment. Services should ensure high quality care can be maintained through times of increased pressure, including winter.

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Gaps in point of care ultrasound provision and the cost of ultrasound equipment provision: results of a nationwide audit of acute medical units

Introduction: Advances in ultrasound technology have allowed an investigation previously restricted to the radiology department to be used more liberally in clinical decision making. Point-of-Care-Ultrasound (PoCUS) has superior diagnostic performance to traditional clinical examination across a range of pathologies in the hands of a suitably experienced practitioner. The utilisation of PoCUS has the potential to greatly influence the delivery of acute care, but little is known about the current level of resource provision within the acute medical setting.

Methods: To establish the availability of ultrasound equipment and appropriately trained clinicians within Acute Medical Units (AMUs) in the United Kingdom (UK) we asked specific questions with an annual day of care survey, undertaken by the Society for Acute Medicine. We compared data across two years to assess interval changes.

Results: 58.1% (75/129) of AMUs had access to dedicated ultrasound equipment in SAMBA’19. This represents a small increase from SAMBA’18. Ultrasound expertise is concentrated across a small number of AMUs. Growth in the number of ultrasound trained clinicians is greatest units with established expertise.

Conclusion: The equipment to provide PoCUS is not present on all AMUs and appropriately trained clinicians are not distributed evenly across units. This is likely to affect individual AMUs ability to deliver bedside ultrasound to appropriate patients who may benefit. Bridging the gap to ensure all AMUs have the option to use PoCUS will require planning and investment.

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Point-of-care lung ultrasound in the assessment of suspected COVID-19: a retrospective service evaluation with a severity score

Introduction: Point-of-care lung ultrasound (POCUS) has been advocated as a tool to assess the severity of COVID19 and thereby aid risk stratification.

Methods: We conducted a retrospective service evaluation between the 3rd March and the 5th May 2020 to describe and characterise the use of POCUS within an acute care pathway designed specifically for the assessment of suspected or confirmed COVID-19. A novel POCUS severity scale was formulated by assessing pleural and interstitial abnormalities within six anatomical zones (three for each lung). An aggregated score was calculated for each patient and evaluated as a marker of disease severity using standard metrics of discriminatory performance.

Results: POCUS was performed in the assessment of 100 patients presenting with suspected COVID-19. POCUS was consistent with COVID-19 infection in 92% (n = 92) of the patients assessed. Severity, as assessed by POCUS, showed good discriminatory performance to predict all-cause inpatient mortality, death or critical care admission, and escalated oxygen requirements (AUC .80, .80, 82). The risk of all-cause mortality in patients with scores in lowest quartile was 2.5% (95%CI 0.12- 12.95) compared with 42.9% (95CI 15.8 – 75.0%) in the highest quartile. POCUS assessed severity correlated with length of stay and duration of supplemental oxygen therapy.

Conclusion: A simple aggregated score formed by the summating the degree of pleural and interstitial change within six anatomical lung zones showed good discriminatory performance in predicting a range of adverse outcomes in patients with suspected COVID-19.

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Society for Acute Medicine Benchmarking Audit 2019 (SAMBA19): Trends in Acute Medical Care

Introduction: The eighth Society for Acute Medicine Benchmarking Audit (SAMBA19) took place on Thursday 27th June 2019. SAMBA gives a broad picture of acute medical care in the UK and allows individual units to compare their performance against their peers.

Method: All UK hospitals were invited to participate. Unit and patient level were collected. Data were analysed against published Clinical Quality indicators (CQI) and standards. This was the biggest SAMBA to date, with data from 7170 patients across 142 units in 140 hospitals.

Results: 84.5% of patients had an Early Warning Score measured within 30 minutes of arrival in hospital (SAMBA18 84.1%), 90.4% of patients were seen by a competent clinical decision maker within four hours of arrival in hospital (SAMBA18 91.4 %) and 68.6% of patients were seen by a consultant within the timeframe standard (SAMBA18 62.7%). Ambulatory Emergency Care is provided in 99.3% of hospitals. 61.8% of patients are initially seen in the Emergency Department (ED). Since SAMBA18 death rates and planned discharge rates, while the use of NEWS2 increased from 2.5% to 59.2% of hospitals.

Conclusion: SAMBA19 highlighted the evolving complexity of acute medical pathways for patients. The challenge now is to increase sample frequency, assess the impact of SAMBA open a broader debate to define optimal CQIs.

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