Recommendations for Defining and Reporting Adherence Measured by Biometric Monitoring Technologies: Systematic Review.
Iredia M OlayeMia P BelovskyLauren BatailleRoyce ChengAli CigerKaren L FortunaElena S IzmailovaDebbe McCallChristopher J MillerWillie MuehlhausenCarrie A NorthcottIsaac R Rodriguez-ChavezAbhishek PratapBenjamin VandendriesscheYaara Zisman-IlaniJessie P BakkerPublished in: Journal of medical Internet research (2022)
We recommend that quantitative, nonsurrogate, sensor-based adherence data be reported for all BioMeTs when feasible; a clear description of the sensor or sensors used to capture adherence data, the algorithm or algorithms that convert sample-level measurements to a metric of adherence, and the analytic validation data demonstrating that BioMeT-generated adherence is an accurate and reliable measurement of actual use be provided when available; and primary adherence data be reported as a continuous variable followed by categorical definitions if needed, and that the categories adopted are supported by clinical validation data and/or consistent with previous reports.