Southmead Hospital
Last updated 29 Nov 2019. All data shown is by calendar year.
All rate of survival information shown here must be looked at in conjunction with case ascertainment. If case ascertainment is low then the figures may not be reflective of true practice.
Data Monitoring |
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2016
% |
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2017
% |
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Jan18 - Jul19
% |
|---|
| Hospital case ascertainment |
100+ |
|
100+ |
|
100+ |
| Hospital data accreditation |
91.0 |
|
90.7 |
|
92.1 |
|
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Cases submitted and eligible for Rate of Survival calculation:
| Year | Total cases | Eligible cases |
|---|
| 2016 | 1482 | 1385 | | 2017 | 1480 | 1408 | | 2018 | 1630 | 1377 | | 2019 | 913 | 837 |
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Rate of Survival at this Hospital |
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Between January 1st 2016 and July 31st 2019
Outcomes (survival or death) after trauma is best measured by the number of those who actually survived compared with the number who are expected to survive.
The numbers of expected survivors is generated from our database of thousands of patients who have already been treated for similar injuries.
The horizontal white line in the chart represents a 95% Confidence Interval. Please refer to the 'Survival Rates' page for further information.
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Rate of Survival at this Hospital: Yearly Figures |
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Rate of Survival Breakdown at this Hospital |
| Survival band % | Number in group | Expected survivors | Actual survivors | Difference* | Adjusted difference** |
Unexpected deaths in minor/moderate injury
Usually due to poor management of co-morbidity and/or complications Unexpected survivors with more serious injury
Usually indicates good initial resusitation and the treatment of head injury in Neurological Centres |
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| 95 - 100 | 2919 | 2870 | 2883 | 0.4 | 0.3 | | 90 - 95 | 820 | 761 | 761 | 0.0 | 0.0 | | 80 - 90 | 635 | 547 | 542 | -0.8 | -0.1 | | 65 - 80 | 330 | 244 | 248 | 1.0 | 0.0 | | 45 - 65 | 124 | 69 | 63 | -5.6 | -0.1 | | 25 - 45 | 100 | 36 | 37 | 0.8 | 0.0 | | 0 - 25 | 79 | 11 | 15 | 4.1 | 0.1 | | Total |
5007 | 4541 | 4549 | 0.1 | 0.2 |
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Quality Assurance |
We ensure that the data submitted to the Trauma Audit & Research Network is checked by an internal validation and coding regulations. Some hospitals request that we check their data so that the information presented is as accurate as possible.
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Definitions |
This is a measure of unexpected survivors or deaths that can be used to highlight parts of the trauma care system that requires improvement (in the case of additional deaths) or establish as best practice (additional survivors).
This is a measure of unexpected survivors or deaths with a statistical adjustment to allow for different mixes of patients at each hospital.
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Performance comparison analyses will be displayed as soon as a sufficient number of cases have been submitted.
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This hospital does not participate in the TARN audit. |