Potential Bias Associated with Modeling the Effectiveness of Healthcare Interventions in Reducing Mortality Using an Overall Hazard Ratio
Author(s) -
Fernando AlaridEscudero,
Karen M. Kuntz
Publication year - 2019
Publication title -
pharmacoeconomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.809
H-Index - 100
eISSN - 1179-2027
pISSN - 1170-7690
DOI - 10.1007/s40273-019-00859-5
Subject(s) - health economics , psychological intervention , quality of life research , health administration , health care , environmental health , hazard ratio , medicine , public health , confidence interval , economics , nursing , economic growth
Clinical trials often report intervention efficacy in terms of the reduction in all-cause mortality between the treatment and control arms (i.e., an overall hazard ratio [oHR]) instead of the reduction in disease-specific mortality (i.e., a disease-specific hazard ratio [dsHR]). Using oHR to reduce all-cause mortality beyond the time horizon of the trial may introduce bias if the relative proportion of other-cause mortality increases with age. We sought to quantify this oHR extrapolation bias and propose a new approach to overcome this bias.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom