ArticleACR open rheumatology2022
ACT for Lupus: Pilot Feasibility and Acceptability Study of a Novel Web-Based Acceptance and Commitment Therapy Program for Patients With Lupus.
Article in ACR open rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Efficacy of lifestyle interventions in the management of systemic lupus erythematosus: a systematic review of the literature.Rheumatology international · 2024Pooled it
- Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Transforming lupus self-care education with mobile health: A systematic review.Journal of education and health promotion · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAcceptance and commitment therapy (ACT) has demonstrated effectiveness in addressing symptoms of anxiety and depression, frequently experienced by patients with systemic lupus erythematosus (SLE). The goal of this pilot study was to develop and assess the feasibility and acceptability of a novel web-based ACT skills training program tailored for patients with lupus: ACT for Lupus. The program served as a complementary approach to support the management of symptoms and stressors during the COVID-19 pandemic.
methodsThis study employed a single-group pretest-posttest design. Participants with a diagnosis of SLE were primarily recruited through an institutional healthcare system between November 25, 2020 and December 17, 2020 and through an online national lupus organization listserv. Participants were invited to attend two 1-hour webinars delivered over a 2-week period. Educational ACT-based content was tailored for patients with lupus and delivered by an experienced clinical psychologist specializing in ACT. Surveys assessed patient-reported outcomes of anxiety, depression, and quality of life and evaluated program feedback, usability, and satisfaction.
resultsA total of 83 participants submitted the baseline survey, with 21 participants designated as study completers. The program was well received by participants, who reported feasibility and acceptability of the intervention, as reflected by high usability ratings. Participants reported favorable experiences with the program. Feedback included suggestions to include additional lupus-tailored content, increase the range and scope of sessions and activities, and improve program flexibility and availability to avoid scheduling conflicts.
conclusionThis study provides preliminary evidence for an adapted, ACT-based virtual skills training program as a feasible and acceptable intervention to support the well-being of patients with lupus.
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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.