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

mHealth for Data Collection and Research (1667) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1711) Text-messaging (SMS, WeChat etc)-Based Interventions (918) Focus Groups and Qualitative Research for Human Factors Research (1499) Recruitment of Research Participants (459) Vulnerable Populations in Health Research (340)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55354, first published .
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Using Text Messaging Surveys in General Practice Research to Engage With People From Low-Income Groups: Multi-Methods Study

Using Text Messaging Surveys in General Practice Research to Engage With People From Low-Income Groups: Multi-Methods Study

Authors of this article:

Elizabeth Sturgiss1 Author Orcid Image ;   Jenny Advocat1 Author Orcid Image ;   Christopher Barton2 Author Orcid Image ;   Emma N Walker2 Author Orcid Image ;   Suzanne Nielsen3 Author Orcid Image ;   Annemarie Wright4, 5 Author Orcid Image ;   Tina Lam3 Author Orcid Image ;   Nilakshi Gunatillaka6 Author Orcid Image ;   Symrin Oad7 Author Orcid Image ;   Christopher Wood8 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Ariyabuddhiphongs K, Carey T, Wolfson E, Rittner S, Li J, Amat M, Schonberg M. Implementing a Colorectal Cancer Screening Decision Aid via Text Messaging in a Large Massachusetts Health Care System. MDM Policy & Practice 2026;11(1) View
  2. Fiscella K, Sanders M. The Role of Trust in Text Messaging for Promoting Patient Portal Activation Among Low-Income Patients: Quality Improvement Project. JMIR Formative Research 2026;10:e80255 View
  3. Tay E, Dymock M, Dawes L, Deng L, Nguyen T, Leeb A, Marsh J, Wood N, Macartney K, Snelling T. Short‐Term Safety and Adverse Event Risk Profiles for SARS‐CoV‐2 Booster Vaccine Doses in Australian Adults: A Survey Study. Medical Journal of Australia 2026;224(6) View