Investigating the Influence of Patient Eligibility Characteristics on the Number of Deferrable Rheumatologist Visits: Planning for a Patient-Initiated Follow-Up Strategy Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3899/jrheum.2023-0891
Objective Patient-initiated follow-up (PIFU) for rheumatoid arthritis (RA) is a model of care delivery wherein patients contact the clinic when needed instead of having regularly scheduled follow-up. Our objective was to investigate the influence of different patient eligibility characteristics on the number of potentially deferred visits to inform future implementation of a PIFU strategy. Methods We conducted a retrospective chart review of 7 rheumatologists' practices at 2 university-based clinics between March 1, 2021, and February 28, 2022. Data extracted included the type and frequency of visits, disease management, comorbidities, and care complexities. Stable disease was defined as remission or low disease activity with no medication changes at all visits. The influence of patient characteristics on the number of deferrable visits in patients with stable disease was explored in 4 criteria sets that were based on early disease duration, medication prescribed, presence of care complexity elements, and comorbidity burden. Results Records from 770 visits were reviewed from 365 patients with RA (71.5% female, 70% seropositive). Among all criteria sets, the proportion of visits that could be redirected varied between 2.5% and 20.9%. The highest proportion of deferrable visits was achieved when eligibility criteria included only stable disease activity and patients with RA on conventional synthetic disease-modifying antirheumatic drugs or no medications (n = 161, 20.9%). Conclusion PIFU may result in a more efficient use of specialist healthcare resources. However, the applicability of such models of care and the number of deferred visits is highly dependent on patient characteristics used to establish eligibility criteria for that model. These findings should be considered when planning implementation trials.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3899/jrheum.2023-0891
- https://www.jrheum.org/content/jrheum/early/2024/03/10/jrheum.2023-0891.full.pdf
- OA Status
- bronze
- Cited By
- 2
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391435529
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391435529Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3899/jrheum.2023-0891Digital Object Identifier
- Title
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Investigating the Influence of Patient Eligibility Characteristics on the Number of Deferrable Rheumatologist Visits: Planning for a Patient-Initiated Follow-Up StrategyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-01Full publication date if available
- Authors
-
Shakeel Subdar, Kiran Dhiman, Nicole M.S. Hartfeld, Alison M. Hoens, Krista A. White, Sarah L. Manske, Glen Hazlewood, Diane Lacaille, Elena Lopatina, Megan R.W. Barber, Dianne Mosher, Aurore Fifi‐Mah, Marinka Twilt, Nadia Luca, Karen L. Then, Trafford Crump, Saania Zafar, Kelly Osinski, Claire E.H. BarberList of authors in order
- Landing page
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https://doi.org/10.3899/jrheum.2023-0891Publisher landing page
- PDF URL
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https://www.jrheum.org/content/jrheum/early/2024/03/10/jrheum.2023-0891.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
- OA URL
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https://www.jrheum.org/content/jrheum/early/2024/03/10/jrheum.2023-0891.full.pdfDirect OA link when available
- Concepts
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Medicine, Comorbidity, Rheumatoid arthritis, Disease, Family medicine, Emergency medicine, Physical therapy, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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39Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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