Interpretation of Change in Novel Digital Measures: A Statistical Review and Tutorial.

ABSTRACT:

Background

Novel clinical measures assessed by a digital health technology tool require thresholds to interpret change over time, such as the minimal clinically important difference. Establishing such thresholds is a key component of clinical validation, facilitating understanding of relevant treatment effects.

Summary

Many of the approaches to derive interpretative thresholds for patient-reported outcomes can be applied to digital clinical measures. We present theoretical background to the use of interpretative thresholds, including the distinction between thresholds based on perceived importance versus measurement error, and thresholds for group- versus individual-level interpretations. We then review methods to estimate such thresholds, including anchor-based approaches.

SUBMITTER: Trigg A 

PROVIDER: S-EPMC11919315 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature