| Literature DB >> 25968303 |
Gerben B Keijzers1,2,3, Chris Del Mar4, Leo M G Geeraedts5, Joshua Byrnes6,7, Elaine M Beller8.
Abstract
BACKGROUND: Missed injury is commonly used as a quality indicator in trauma care. The trauma tertiary survey (TTS) has been proposed to reduce missed injuries. However a systematic review assessing the effect of the TTS on missed injury rates in trauma patients found only observational studies, only suggesting a possible increase in early detection and reduction in missed injuries, with significant potential biases. Therefore, more robust methods are necessary to test whether implementation of a formal TTS will increase early in-hospital injury detection, decrease delayed diagnosis and decrease missed injuries after hospital discharge. METHODS/Entities:
Mesh:
Year: 2015 PMID: 25968303 PMCID: PMC4449594 DOI: 10.1186/s13063-015-0733-y
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Missed injury classification [2]
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| Type I ≤ 24 hours) |
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| Injury missed at initial assessment (primary and secondary survey and emergency intervention), but detected within 24 hours, before or through formal TTS. | |
| (that is, injury missed at initial assessment) | |
| Type II (>24 hours) |
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| Injury missed by TTS, detected in hospital after 24 hours. | |
| (that is, injury missed at initial assessment | |
| Type III (After hospital discharge) |
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| Injury missed during hospital stay including TTS, | |
| (that is, injury missed at initial assessment |
Figure 1Group allocation, randomisation and timeline.
Data Collection
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| Enrolment | A trained research assistant will prospectively review (electronic) medical records for details on all clinical examinations, pathology tests and diagnostic imaging performed in the first 24 hours of admission. A standardised data collection form will be used for all patients. This review will occur between 24 and 48 hours after initial admission. This data is routinely collected data and as such, patient will not be asked to consent to this. |
| Enrolment | The patient or proxy will be asked to consent for the follow-up at 1, 6 and 12 months. The patient or proxy will be asked to provide at least two contact numbers and will be informed on the detail of these follow up interviews. |
| Follow-up | Structured interview at 1, 6 and 12 months after hospital discharge. A list of self-reported missed injuries will be adjudicated by an expert panel to classify the in-hospital missed injury (none, Type I or II) and any Type III injury as definite or likely, as well as to determine clinical significance of any missed injury |
| Follow-up | A trained research assistant will conduct a scripted follow-up interview that will include questions on delayed diagnosis or missed injuries, level of functioning, time off work and quality of life |
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| Age | |
| Sex | |
| Ethnicity | |
| Occupation | |
| ISS score. | |
| Length of Hospital stay, length of ICU stay | |
| TTS performance and components of TTS (Additional file | |
| Diagnoses made after 24 hours in hospital, resultant management (active or conservative), diagnostic procedures or tests. | |
| Predefined complications of care: post-operative infection (wound infection, cathether-related urinary tract infection, pneumonia, sepsis), and venous thrombo-embolism (Deep Vein Thrombosis, Pulmonary embolism) | |
| Predefined complications of injury: (ongoing or chronic pain, parasthesia, post-concussion syndrome or symptoms) | |
| Numbers of CT, MRI and ultrasound scans performed | |
| Details of unplanned attendances and readmissions to hospital | |
| Patient quality of life at 1, 6, 12 months (EQ-5D-5 L) | |
| Proportion of usual days of work or study lost at 1, 6 and 12 months | |
| Missed injury after hospital discharge | |
| Medical and nursing time used to assess patients in the first 24 hours | |
| ICD-10 diagnostic and procedure codes | |
| Australian-Revised Diagnostic-Related Group (AR-DRG) codes | |
| Community medical services provided | |
| Primary resource use through Medicare Benefit Scheme (MBS) and the Pharmaceutical Benefit Scheme (PBS) for a 12-month period following the index hospitalizations |
Approximate maximum intra-class correlation (ICC) for various cluster sizes and number of intervention hospitals to answer primary hypothesis
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|---|---|---|
| 8 | 400 | 0.01 |
| 15 | 400 | 0.02 |
| 21 | 400 | 0.03 |
| 9 | 300 | 0.01 |
| 15 | 300 | 0.02 |
| 22 | 300 | 0.03 |
| 10 | 200 | 0.01 |
| 16 | 200 | 0.02 |
| 23 | 200 | 0.03 |