ArticleACR open rheumatology2024
"How are you?" Perspectives From Patients and Health Care Providers of Text Messaging to Support Rheumatoid Arthritis Care: A Thematic Analysis.
Article in ACR open rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Clinician-Patient Asynchronous Text Messaging Communication in Hospital-at-Home Care: Qualitative Study.Journal of medical Internet research · 2026Article
- Exploring digital health technology in rheumatology: a scoping review on benefits, challenges, and future possibilities.EULAR rheumatology open · 2026Review
- Evaluation of a Pilot mHealth Intervention to Engage Primary Care Clients at an Urban Clinic Serving Marginalized Populations: Mixed-Methods Cohort Study.JMIR mHealth and uHealth · 2025Article
- Text-based messaging to support rheumatoid arthritis care: an analysis of frequency and content of text-messages.BMC rheumatology · 2025Article
- Text Messaging Between Patients With Inflammatory Rheumatic Diseases and Pharmacists to Solve Drug-Related Problems: Prospective Feasibility Study.JMIR human factors · 2025Article
- Content validity testing of the INTERMED Self-Assessment in a sample of adults with rheumatoid arthritis and rheumatology healthcare providers.Health expectations : an international journal of public participation in health care and health policy · 2024Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
objectivePatients with rheumatoid arthritis (RA) may need to access rheumatology care between scheduled visits. WelTel is a virtual care platform that supports secure two-way text-messaging between patients and their health care team. The objective of the present study was to explore perspectives and experiences of health care providers (HCPs) and patients related to the use of WelTel as an adjunct to routine care.
methodsSeventy patients with RA were enrolled in a six-month WelTel pilot project launched in September 2021. Patients received monthly "How are you?" text message check-ins and could message their health care team during clinic hours to request health advice. The current project is a qualitative study of the WelTel pilot. A subgroup of pilot participants was purposively sampled and invited to participate in interviews. A thematic analysis of transcripts was conducted using a deductive approach leveraging quality of care domains.
resultsThirteen patients (62% female, mean age 62 years, 10 White) completed interviews. Patients' views suggested that text messaging with the rheumatology team supported high-quality care across multiple quality domains including patient-centeredness, timeliness, efficiency, safety, effectiveness, equity, and appropriateness. Seven HCPs (57.1% female, one pharmacist and six rheumatologists) completed interviews. HCPs' perspectives varied based on their experience with the WelTel platform. Additional themes reported by HCPs included perceived increased workload and burnout.
conclusionsPatients with RA perceived text-based messaging as supporting high-quality care. The impact of increased communications on HCP burnout and workload requires consideration, and future studies should evaluate the effect of texting on patient outcomes.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.