This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (310) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) Evaluation and Research Methodology for mHealth (242)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46237, first published .
Collection and Analysis of Adherence Information for Software as a Medical Device Clinical Trials: Systematic Review

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

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

Authors of this article:

Emily Grayek1 Author Orcid Image ;   Tamar Krishnamurti2 Author Orcid Image ;   Lydia Hu1 Author Orcid Image ;   Olivia Babich3 Author Orcid Image ;   Katherine Warren4 Author Orcid Image ;   Baruch Fischhoff5 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Jeon S, Yang H, Park C, Kim S, Park J. Medical Device Database: Scoping Lifecycle Review. Journal of Health Informatics and Statistics 2024;49(3):216 View
  2. Leivaditis V, Maniatopoulos A, Lausberg H, Mulita F, Papatriantafyllou A, Liolis E, Beltsios E, Adamou A, Kontodimopoulos N, Dahm M. Artificial Intelligence in Thoracic Surgery: A Review Bridging Innovation and Clinical Practice for the Next Generation of Surgical Care. Journal of Clinical Medicine 2025;14(8):2729 View
  3. Figueiredo T, Alcântara L, Carrilho J, Paúl C, Costa E. Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors. Journal of Medical Internet Research 2025;27:e77362 View