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

Non-randomized Protocols and Methods (ehealth) (567) Text-messaging (SMS, WeChat etc)-Based Interventions (650) Methods and Feasibility Studies (379) Demographics of Users, Social & Digital Divide (739)

Published on in Vol 11, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37316, first published .
A Tailored SMS Text Message–Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study

A Tailored SMS Text Message–Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study

A Tailored SMS Text Message–Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study

Authors of this article:

Tyler Lian1 Author Orcid Image ;   Hadley Reid2 Author Orcid Image ;   Abigail Rader1 Author Orcid Image ;   Sarah Dewitt-Feldman3 Author Orcid Image ;   Elmira Hezarkhani4 Author Orcid Image ;   Elizabeth Gu4 Author Orcid Image ;   Malik Scott4 Author Orcid Image ;   Kate Kutzer4 Author Orcid Image ;   Sahil Sandhu4 Author Orcid Image ;   Carolyn Crowder3 Author Orcid Image ;   Kristin Ito3 Author Orcid Image ;   Howard Eisenson3, 5 Author Orcid Image ;   Janet Prvu Bettger6 Author Orcid Image ;   Ryan J Shaw7 Author Orcid Image ;   Allison A Lewinski7, 8 Author Orcid Image ;   David Y Ming1, 9, 10 Author Orcid Image ;   Hayden B Bosworth1, 8, 9 Author Orcid Image ;   Leah L Zullig1, 8 Author Orcid Image ;   Bryan C Batch11 Author Orcid Image ;   Connor Drake1, 8 Author Orcid Image
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Journals

  1. Sibley A, Noar S, Muessig K, O'Shea N, Paquette C, Spears A, Miller W, Go V. An Automated Text Messaging Intervention to Reduce Substance Use Self-Stigma (Project RESTART): Protocol for a Feasibility and Acceptability Pilot Study. JMIR Research Protocols 2024;13:e59224 View