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National Emergency Laparotomy Audit
The 4th report XXXXXXXXXXX Hospital Please edit/delete slides for your own local use as required; these slides aim to support local teams in presenting their own data to multidisciplinary teams
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4th NELA report; 23,949 patients
NELA Database now >100,00 patients in total 4th Report published November 2018 Largest dataset about emergency laparotomy patients in the world
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Achievements across all areas reviewed, although many improvements still required
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Mortality: National Trend has fallen over the 4 years of reporting from 11.8% in year 1
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Mortality: National National 30 day risk adjusted mortality = 9.5%
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Mortality: National National 30 day risk adjusted mortality = 9.5%
Local 30 day risk adjusted mortality = XX % Data source; Year 4 Hospital Level Achievement Key Process of Care:
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Length of Stay: National
National LoS = 15.6 days Data source = year 4 hospital level achievement key processes of care (RAG table) column AB
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Length of Stay: National
National LoS = 15.6 days Local LoS = XX days Data source = year 4 hospital level achievement key processes of care (RAG table) column AB
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4th NELA report – the key standards
Key standards are grouped into Preoperative assessment – including consultant review of patients and preoperative CT scanning and risk assessment before surgery Timely access to theatres Consultant presence in theatres Admission to critical care Geriatric iperioperative involvement This radar plot graphically shows the proportions of ALL patients in year 4 who met each of the standards & clearly shows which areas (geriatrics) requires more work nationally
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Data Ascertainment: National
National case ascertainment – 82.7%
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Data Ascertainment: National
Hospital case ascertainment = XX % Data source = hospital level achievement key processes of care (RAG table) column L It may be useful to colour the text boxes according to RAG rating Regional case ascertainment = YY %
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CT Reported before Surgery: National
National results = 64.4% These national results in amber, reflect the national mean reported number of scans for all CT scans performed
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CT Reported before Surgery: local
Local results = XX % Results column M Regional results = YY %
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CT Discrepancy Rates: National
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CT Discrepancy Rates: National
Overall discrepancy rate = 5.3%
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CT Discrepancy Rates: Local
Overall discrepancy rate = 5.3% Local discrepancy rate = XX% Regional discrepancy rate = YY%
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Preop Risk Assessment: National
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Preop Risk Assessment: Local
National preop risk assessment = 74.6% Local preoperative risk assessment = XX% Regional preoperative risk assessment = YY% Column O
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Arrival to Theatre: National
Fig 13.2 – more likely to arrive in time out of hours
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Arrival to Theatre: National v Local
National arrival in a timescale appropriate to surgery = 82.5% Local hospital arrival in a timescale appropriate to surgery = XX% Regional = YY% Fig 13.2 – more likely to arrive in time out of hours Data source = column P
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Preop Consultant Input: National
For the first year NELA reports on different types of preoperative involvement – both face to face and in person are considered
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Preop Consultant Input
National Local Regional Both 85.7% XX YY Surgeon 95.4% Anaesthetist 88.8% Intensivist (risk>10%) 67.5% Key process measures; The proportion of patients who had preoperative patient by a consultant surgeon, a consultant anaesthetist when predicted risk is >5%, a consultant intensivist (when risk >10% Both = 85.7 Surgeon = 95.4 Anaesthetist = 88.8 Intensivist – 76.5%
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Consultant Presence In Theatres: National
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Consultant Presence In Theatres:
National Local Regional Both 82.5% XX YY Surgeon 92.3% yy Anaesthetist 88%
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Post op Critical Care: National
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Post op Critical Care: Local
National Local Regional Admission if risk >5% 79.3% XX yy Admission if risk >10% 86.8% Columns X and Z
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Geriatric Review: National
National Mean = 22.9% of patients were seen by geriatricians Remains low in this high risk group
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Geriatric Review: Local results
Local geriatric reviews (proportion of patients) = XX% Regional = YY% Remains low in this high risk group Column AA
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Data to support shared decision making
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Long-Term Mortality First year
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Discharge Destination
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Antibiotics in Suspected Sepsis
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Route of Admission & Admitting Specialty
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Unplanned Events
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Thank You To everyone involved in caring for patients undergoing emergency laparotomy To everyone involved in collecting the data
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