Economic Evaluations of Pharmacological Treatments in Heart Failure Patients: A Methodological Review with a Focus on Key Model Drivers.
Ontology highlight
ABSTRACT: Various decision analytic models exist for evaluating the cost-effectiveness of pharmacological interventions for heart failure (HF). Despite this, studies that explore drivers influencing these modeling approaches remain scarce. Through a systematic review of the literature, the present study sought to identify model drivers that emerge from economic evaluations of HF pharmacological interventions. Among the 72 cost effectiveness papers evaluating HF drug interventions, the most frequently identified, top 5 ranked model drivers impacting the incremental cost-effectiveness ratio (ICER) were cost of treatment and utility, identified in 10% of studies, respectively. Other drivers that emerged as top 5 ranked drivers in > 5% of studies included treatment effect on mortality (or cardiovascular
SUBMITTER: Di Tanna GL
PROVIDER: S-EPMC7426354 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
ACCESS DATA