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

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

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 control group was compared to the standard method of using the pre-surgery score as the control. Matched controls were identified for 56% of the primary TKRs. The matched control HrQoL trajectory showed evidence of RTM accounting for a third of the estimated QALY gains from surgery using the pre-surgery HrQoL as the control. Incorporating RTM into the economic evaluation significantly reduced the estimated cost effectiveness of TKR and increased the uncertainty. A generalized ICER bias correction factor was derived to account for RTM in cost-effectiveness analysis. RTM should be considered in economic evaluations based on quasi-experimental pre-post studies.

Original languageEnglish
Pages (from-to)e35-e51
Number of pages17
JournalHealth Economics
Volume26
Issue number12
DOIs
Publication statusPublished - Dec 2017

Keywords

  • Economic evaluation
  • Health-related quality of life
  • Quasi-experimental design
  • Regression to the mean
  • Total knee replacement

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