ArticleClinical rheumatology2019
Factors influencing implementation of a computerized, individualized, culturally tailored lupus decision aid in lupus clinics: a qualitative semi-structured interview study.
Article in Clinical rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing and improving communication strategies among healthcare providers and African American individuals with systemic lupus: a scoping review.BMC rheumatology · 2026Pooled it
- Barriers and Enablers for Sustaining Nurse-Led Use of Clinical Decision Support Tools for Antibiotic Stewardship: Qualitative Study.JMIR nursing · 2026Article
- The impact of shared decision-making on quality of life in systemic lupus erythematosus practice: findings from the TRUMPFrontiers in immunology · 2026Observational
- Implementation outcomes of a patient decision-aid in a diverse population with systemic lupus erythematosus in 15 US rheumatology clinics.Rheumatology (Oxford, England) · 2025Article
- Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making.NPJ digital medicine · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectiveTo identify factors that might facilitate or impede the implementation of a shared decision-making in lupus electronic tool (SMILE) in clinics by assessing perspectives of clinicians, clinic champions, and patient advocacy organization leaders.
methodsWe conducted a series of semi-structured telephone interviews (25-45 minutes) about facilitators and barriers of implementing the SMILE decision-aid tool with 23 lupus care providers (18 physicians, 5 champions), and leaders of two patient advocacy organizations. Interviews were audio recorded, transcribed, coded, and analyzed.
resultsPhysicians and clinic champions were from 18 geographically diverse US clinics. The patient advocacy leaders were from the Lupus Foundation of America and the Arthritis Foundation. Most of the clinics were rheumatology specialty (94%), at university-based academic centers (72%), located in urban areas (72%), had a specialized lupus clinic (72%), were very interested (72%) in the SMILE tool and were ready to implement it (89%). Several specific factors, composed as four themes, were identified that could either facilitate or impede the implementation of the SMILE tool: (1) patient-related theme: patient recruitment and education, and the clinic visit time; (2) clinic-related theme: staff work-load and time, and physical space to view and use the SMILE tool; (3) technology-related theme: Wi-Fi connection and iPad navigation; and (4) management-related theme: influence on the clinics' daily workflow, the need of a study champion and coordination, and leadership support.
conclusionPhysicians, staff, and patient advocacy leaders perceived the SMILE as a promising tool to facilitate patient-provider communication and quality improvement in lupus. Identification of the patient-, clinic-, technology-, and management-related barriers to the SMILE implementation will allow its integration into busy clinical practice workflow. Key Points • Physicians, staff and patient advocacy leaders perceived computerized lupus decision aid to be a promising tool to facilitate shared decision-making for lupus treatment. • Stakeholder identified patient-related, clinic-resource-related, technology-related and clinic-management related themes as barriers or facilitators to viewing computerized lupus decision aid during regular clinic visits.
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