Journal article

The Impact of Regression to the Mean on Economic Evaluation in Quasi-Experimental Pre-Post Studies: The Example of Total Knee Replacement Using Data from the Osteoarthritis Initiative

Chris Schilling, Dennis Petrie, Michelle M Dowsey, Peter F Choong, Philip Clarke

HEALTH ECONOMICS | WILEY | Published : 2017

Abstract

Many treatments are evaluated using quasi-experimental pre-post studies susceptible to regression to the mean (RTM). Ignoring RTM could bias the economic evaluation. We investigated this issue using the contemporary example of total knee replacement (TKR), a common treatment for end-stage osteoarthritis of the knee. Data (n = 4796) were obtained from the Osteoarthritis Initiative database, a longitudinal observational study of osteoarthritis. TKR patients (n = 184) were matched to non-TKR patients, using propensity score matching on the predicted hazard of TKR and exact matching on osteoarthritis severity and health-related quality of life (HrQoL). The economic evaluation using the matched c..

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Grants

Awarded by Australian Research Council's Discovery Early Career Awards funding scheme


Awarded by National Health and Medical Research Council postgraduate award


Awarded by National Health and Medical Research Council Early Career Australian Clinical Fellowship


Funding Acknowledgements

The authors are supported by the Australian Research Council's Discovery Early Career Awards funding scheme (Project DE150100309), a National Health and Medical Research Council postgraduate award (AP1093229), and a National Health and Medical Research Council Early Career Australian Clinical Fellowship (APP1035810). The views expressed herein are those of the authors and are not necessarily those of the Australian Research Council or the National Health and Medical Research Council.