Lay Description
Aims: Patients suffer traumatic injuries caused by incidents like car accidents, assaults and falls every day. Many will be seriously injured and require blood to replenish that lost from a major haemorrhage (bleeding). Blood products have been given by ambulance crews for nearly 15 years and although there is evidence that blood given in hospital improves survival for patients with these serious injuries, there is not enough to prove that it can make a difference when given earlier, i.e. at the time of the injury.
This project aims to use data routinely collected on patients (from PRANA) to see who is most likely to survive if they are given blood products before they come into hospital. These patients will either die on scene or be taken to hospital by ambulance crews. From the data, the study will look at things like the type of injury suffered, patient characteristics (i.e. age, gender) and the treatments they are given (including blood products). It will analyse the data collected to see if there are any patterns in the patients who live or die and whether there is a link between the treatment given or patient characteristics and how long they survive.
As this is a scoping exercise to see if PRANA data can be used for a much larger project, the main aims are to:
- Describe a well-defined group of patients
- Develop a clear summary of available outcomes
- Produce a small survival-focused analysis that is transparent about its limitations.
Describing the cohort, checking data completeness and mapping the patient journey will be incredibly valuable. This initial scoping exercise will establish the feasibility and quality of using linked PRANA data to evaluate pre-hospital blood transfusion, providing the evidence needed to design a robust PhD study. It will also generate insights into the completeness and utility of routinely collected blood data that will be valuable to other organisations, including NHS Blood and Transplant (NHSBT), seeking to improve the evaluation of blood use and patient outcomes.