International experiences in multicriteria decision analysis (MCDA) for evaluating orphan drugs: a scoping review

Pieralessandro Lasalvia(Pontificia Universidad Javeriana), Laura Prieto‐Pinto(Instituto Neurológico de Colombia), Manuel Moreno, José Maria Guitian Castrillon, G. Romano(Instituto Neurológico de Colombia), Nathaly Garzón‐Orjuela(Instituto Neurológico de Colombia), Diego Rosselli(Instituto Neurológico de Colombia)
Expert Review of Pharmacoeconomics & Outcomes Research
June 18, 2019
Cited by 38

Abstract

Introduction: Orphan diseases are low-prevalence conditions with chronically debilitating or life-threatening consequences. Their treatments are generally called orphan drugs (OD). Health–technology assessment processes have traditionally considered cost-effectiveness analysis (CEA), when making reimbursement and pricing decisions for health-care plans. Valuing OD with standard CEA raises important issues due to uncertain evidence, inability to meet cost-effectiveness thresholds for reimbursement and high budget impact, among others. Multi-criteria decision analysis (MCDA) allows to overcome these issues and improve the technical and ethical quality of decisions regarding prioritization, coverage, and reimbursement of OD.Areas covered: A scoping review was conducted in order to characterize MCDA frameworks for assessing OD and implementation experiences. We reviewed electronic databases (Medline, Embase, Cochrane Library, EBSCO, CINAHL, EconLit, Web of Science, LILACS, Google Scholar) key journals (Orphanet Journal of Rare Diseases and Value in Health) and organization repositories.Expert opinion: The theoretical framework for MCDA considers areas related to characteristics of orphan diseases and their technologies’ clinical and economic impact. Participation processes are critical in incorporating societal values in weighting different dimensions and constructing decision rules. Local implementation pilots considering different stakeholders are necessary in order to pinpoint specific barriers and opportunities.


Related Papers

No related papers found

Powered by citation graph analysis