Aviso: Este sitio agrega datos públicos oficiales de la FDA, ClinicalTrials.gov, PubMed y SEC EDGAR solo como referencia general. No constituye asesoramiento médico, diagnóstico, recomendaciones de tratamiento ni asesoramiento de inversión.

PubMed

Collection and Analysis of Adherence Information for Software as a Medical Device Clinical Trials: Systematic Review.

PMID: 37966871 ·

E, m, i, l, y, , G, r, a, y, e, k, ;, , T, a, m, a, r, , K, r, i, s, h, n, a, m, u, r, t, i, ;, , L, y, d, i, a, , H, u, ;, , O, l, i, v, i, a, , B, a, b, i, c, h, ;, , K, a, t, h, e, r, i, n, e, , W, a, r, r, e, n, ;, , B, a, r, u, c, h, , F, i, s, c, h, h, o, f, f

RevistaJMIR mHealth and uHealth
Año
PMID37966871

Resumen

The rapid growth of digital health apps has necessitated new regulatory approaches to ensure compliance with safety and effectiveness standards. Nonadherence and heterogeneous user engagement with digital health apps can lead to trial estimates that overestimate or underestimate an app's effectiveness. However, there are no current standards for how researchers should measure adherence or address the risk of bias imposed by nonadherence through efficacy analyses. This systematic review aims to a

Fuente oficial

Ver en PubMed →

Datos obtenidos de PubMed / NCBI. Para consultar el texto completo y la información más reciente, remítase siempre al registro oficial.

↑