Headroom beyond the quality-adjusted life-year : the case of complex pediatric neurology
until further notice
SourceInternational Journal of Technology Assessment in Health Care, 33, 1, (2017), pp. 5-10
Article / Letter to editor
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International Journal of Technology Assessment in Health Care
SubjectRadboudumc 13: Stress-related disorders DCMN: Donders Center for Medical Neuroscience; Radboudumc 15: Urological cancers RIHS: Radboud Institute for Health Sciences
OBJECTIVES: The headroom method was introduced for the very early evaluation of the potential value of new technologies. It allows for establishing a ceiling price for technologies to still be cost-effective by combining the maximum effect a technology might yield, the maximum willingness-to-pay (WTP) for this effect, and potential downstream expenses and savings. Although the headroom method is QALY-based, not all innovations are expected to result in QALY gain. METHODS: This study explores the feasibility and usefulness of the headroom method in the evaluation of technologies that are unlikely to result in QALY gain. This will be illustrated with the diagnostic trajectory of complex pediatric neurology (CPN). RESULTS: Our headroom analysis showed a large room for improvement in the current diagnostic trajectory of CPN in terms of diagnostic yield. Combining this with a maximum WTP value for an additional diagnosis and the potential downstream expenses and savings, resulted in a total headroom of euro15,028. This indicates that a new technology in this particular diagnostic trajectory, might be cost-effective as long as its costs do not exceed euro15,028. CONCLUSIONS: The headroom method seems a useful tool in the very early evaluation of medical technologies, also in cases when immediate QALY gain is unlikely. It allows for allocating healthcare resources to those technologies that are most promising. It should be kept in mind, however, that the headroom assumes an optimistic scenario, and for that reason cannot guarantee future cost-effectiveness. It might be most useful for ruling out those technologies that are unlikely to be cost-effective.
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