Projects per year
Methods: We reviewed NICE TAs published between 01/01/2010 and 20/04/2018.
Results: Population adjustment methods were used in 7% (18/268) of TAs. Most applications used unanchored comparisons (89%, 16/18), and were in oncology (83%, 15/18). Methods used included Matching-Adjusted Indirect Comparisons (89%, 16/18) and Simulated Treatment Comparisons (17%, 3/18). Covariates were included based on: availability, expert opinion, effective sample size, statistical significance, or cross validation. Larger treatment networks were commonplace (56%, 10/18), but current methods cannot account for this. Appraisal committees received results of population-adjusted analyses with caution and typically looked for greater cost effectiveness to minimise decision risk.
Conclusions: Population adjustment methods are becoming increasingly common in NICE TAs, though their impact on decisions has been limited to date. Further research is needed to improve upon current methods, and to investigate their properties in simulation studies.
|Number of pages||8|
|Journal||International Journal of Technology Assessment in Health Care|
|Early online date||13 Jun 2019|
|Publication status||Published - 26 Jun 2019|
- network meta-analysis
- technology assessment
- effect modifier
- comparative effectiveness research
- Comparative effectiveness research
- Network meta-analysis
- Effect modifier
- Technology assessment
1/03/17 → 29/02/20
1/01/15 → 30/09/18
Phillippo, D. M., 28 Nov 2019
Supervisor: Welton, N. (Supervisor) & Dias, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)File