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

#xEndocrinology (5) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Electronic Health Records (1068) Diabetes Self-Management (495) Diabetes Health Services and System Innovations (119) Clinical Informatics (1050) Depression and Mood Disorders; Suicide Prevention (1392) Secondary Use of Clinical Data for Research and Surveillance (375) Diabetes (194) Quality Improvement (260)

Published on in Vol 3, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22912, first published .
Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study

Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study

Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study

Authors of this article:

Amy Ronaldson1 Author Orcid Image ;   Mark Freestone1 Author Orcid Image ;   Haoyuan Zhang2 Author Orcid Image ;   William Marsh2 Author Orcid Image ;   Kamaldeep Bhui1, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Ronaldson A, Freestone M, Zhang H, Marsh W, Bhui K. Authors' Response to Peer Reviews of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”. JMIRx Med 2022;3(2):e38010 View
  2. . Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”. JMIRx Med 2022;3(2):e38488 View
  3. Jones C. Peer Review of “Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study”. JMIRx Med 2022;3(2):e38007 View