Recovery of health-related quality of life after burn injuries: An individual participant data meta-analysis.
Inge SpronkNancy E E Van LoeyCharlie Aletta SewaltDaan NieboerBabette RennebergAsgjerd Litleré MoiCaisa OsterLotti OrveliusMargriet E van BaarSuzanne Polindernull nullPublished in: PloS one (2020)
The 24-month recovery model can be used in clinical practice to inform patients on expected HRQL outcomes and provide clinicians insights into the expected recovery of HRQL. In this way, a delayed recovery can be recognized in an early stage and timely interventions can be started in order to improve patient outcomes. However, external validation of the developed model is needed before implementation into clinical practice. Furthermore, our study showed the benefit of secondary data usage within the field of burns.
Keyphrases
- clinical practice
- early stage
- systematic review
- end stage renal disease
- electronic health record
- newly diagnosed
- ejection fraction
- primary care
- palliative care
- prognostic factors
- big data
- squamous cell carcinoma
- type diabetes
- patient reported outcomes
- machine learning
- data analysis
- weight loss
- artificial intelligence