Professor Danielle van der Windt
|Funder name / reference number:
|National Institute of Health Research (NIHR) School for Primary Care (Grant No 187)
Optimising outcome prediction in primary care: using longitudunal data in prognosis research:
Analysis of individual patient data from four primary care based prospective cohort studies in patients with back or shoulder pain
To investigate to what extent a repeated assessment of a simple prognostic indicator can improve long-term outcome prediction.
Using the example of back and shoulder pain:
- to assess whether the repeated assessments of a simple measure of pain or function can improve the performance of prognostic prediction models in primary care
- to test a strategy for accurately and efficiently classifying patients as being at high/low probability of recovery, using baseline prognostic information combined with a short-term repeated assessment of pain.