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PNS242 Identifying the Public's Preferences for Sharing Health DATA Digitally by J. Viberg Johansson; D. Mascalzoni; J. Kaye; N. Shah; G.A. Jónsdóttir; E. Haraldsdóttir; J. Veldwijk is a Economics, Econometrics and Finance article available to read on EtoBox.

What is PNS242 Identifying the Public's Preferences for Sharing Health DATA Digitally about?

Objectives: Determining a meaningful within-patient change ("responder") threshold is key to interpret patient-reported outcome (PRO) data. There are numerous methods to estimate responder thresholds, including distributionbased methods (e.g., 0.5 standard deviation), anchor-based methods (using patient-reported and clinical biomarker anchors), and qualitative methods. Most authors use a combination of methods, which often results in several responder thresholds that may be similar but not numerically identical. We were interested in examining how authors synthesized thresholds derived using different sources into a single one. Methods: A targeted literature review of methods used to derive a single responder threshold derived from multiple methods was conducted using PubMed, Embase, and the websites of several congresses, and of regulatory and payer bodies. Searches were limited to the last 15 years with no geographic restrictions. Results: The searches identified 596 unique publications; 22 were included in the review. There is no consensus on the optimal method or rationale to be applied to derive a single responder threshold. Three methods were proposed in the reviewed studies:

Who reads PNS242 Identifying the Public's Preferences for Sharing Health DATA Digitally?

Author

J. Viberg Johansson; D. Mascalzoni; J. Kaye; N. Shah; G.A. Jónsdóttir; E. Haraldsdóttir; J. Veldwijk

Publisher

Elsevier BV

Published

2020

Language

EN

Field

Economics, Econometrics and Finance (Social Sciences)