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

Pilot studies (ehealth) (174) Mobile Health (mhealth) (2748) mHealth for Treatment Adherence (383) Substance Abuse (379) mHealth for Wellness, Behavior Change and Prevention (2728) Behavior Change (652)

Published on in Vol 6, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42376, first published .
Remotely Assessing Mechanisms of Behavioral Change in Community Substance Use Disorder Treatment to Facilitate Measurement-Informed Care: Pilot Longitudinal Questionnaire Study

Remotely Assessing Mechanisms of Behavioral Change in Community Substance Use Disorder Treatment to Facilitate Measurement-Informed Care: Pilot Longitudinal Questionnaire Study

Remotely Assessing Mechanisms of Behavioral Change in Community Substance Use Disorder Treatment to Facilitate Measurement-Informed Care: Pilot Longitudinal Questionnaire Study

Authors of this article:

Kevin A Hallgren1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Biró A, Cuesta-Vargas A, Szilágyi L. Precognition of mental health and neurogenerative disorders using AI-parsed text and sentiment analysis. Acta Universitatis Sapientiae, Informatica 2023;15(2):359 View