New Paper: Statistical Methods for Adjusting Estimates of Treatment Effectiveness for Patient Nonadherence in the Context of Time-to-Event Outcomes and Health Technology Assessment: A Systematic Review of Methodological Papers

Abualbishr Alshreef 

HEDS have collaborated on a new paper titled: Statistical Methods for Adjusting Estimates of Treatment Effectiveness for Patient Nonadherence in the Context of Time-to-Event Outcomes and Health Technology Assessment: A Systematic Review of Methodological Papers.

HEDS Research Fellow Abualbishr Alshreef lead on the paper along with fellow HEDS colleagues Dr Nick Latimer, Professor Paul Tappenden; Dr Ruth Wong and Professor Simon Dixon. They collaborated with Professor Dyfrig Hughes and Dr James Fotheringham.

You can read the paper here

The main findings of the paper are:

• “Economic evaluations frequently ignore the adjustment of treatment effectiveness for patient non-adherence, which carries the risk of producing misleading cost-effectiveness evidence”

• “A range of statistical methods is available for adjusting estimates of treatment effectiveness for non-adherence, but most are not suitable for use in #HTA”

• “G-methods and PKPD appear to be more appropriate to estimate effectiveness in the presence of real-world adherence”

• The paper proposes “a taxonomy of methods for adjusting estimates of treatment effectiveness for non-adherence in the context of time-to-event outcomes”