Video: Every Case Tells a Story| Webinar: ACR/CHEST ILD Guidelines in Practice

An official publication of the ACR and the ARP serving rheumatologists and rheumatology professionals

  • Conditions
    • Axial Spondyloarthritis
    • Gout and Crystalline Arthritis
    • Myositis
    • Osteoarthritis and Bone Disorders
    • Pain Syndromes
    • Pediatric Conditions
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Sjögren’s Disease
    • Systemic Lupus Erythematosus
    • Systemic Sclerosis
    • Vasculitis
    • Other Rheumatic Conditions
  • FocusRheum
    • ANCA-Associated Vasculitis
    • Axial Spondyloarthritis
    • Gout
    • Psoriatic Arthritis
    • Rheumatoid Arthritis
    • Systemic Lupus Erythematosus
  • Guidance
    • Clinical Criteria/Guidelines
    • Ethics
    • Legal Updates
    • Legislation & Advocacy
    • Meeting Reports
      • ACR Convergence
      • Other ACR meetings
      • EULAR/Other
    • Research Rheum
  • Drug Updates
    • Analgesics
    • Biologics/DMARDs
  • Practice Support
    • Billing/Coding
    • EMRs
    • Facility
    • Insurance
    • QA/QI
    • Technology
    • Workforce
  • Opinion
    • Patient Perspective
    • Profiles
    • Rheuminations
      • Video
    • Speak Out Rheum
  • Career
    • ACR ExamRheum
    • Awards
    • Career Development
  • ACR
    • ACR Home
    • ACR Convergence
    • ACR Guidelines
    • Journals
      • ACR Open Rheumatology
      • Arthritis & Rheumatology
      • Arthritis Care & Research
    • From the College
    • Events/CME
    • President’s Perspective
  • Search

Can an App Reduce the Need for In-Person Visits?

Arthritis & Rheumatology  |  April 25, 2024

Background

Solomon et al. examined whether a mobile application (app) integrated into the electronic health record (EHR) would be used by patients and rheumatologists and could reduce the volume of in-person rheumatologist visits for patients with rheumatoid arthritis (RA). The app collected patient-reported outcomes (PROs) between visits, processed the data, integrated the PRO information into the EHR for rheumatologists, and suggested early or delayed visits based on the PRO data.

Methods

The researchers developed an app that prompted patients to complete brief validated PRO questionnaires, concerning pain, fatigue, function and disease activity. A total of 150 patients with RA used the app, and they were matched with patients who had RA but did not use the app. The app results were integrated into the EHR. Rheumatologists then received messages based on the PROs, recommending the patient receive a visit earlier or later than scheduled.

ad goes here:advert-1
ADVERTISEMENT
SCROLL TO CONTINUE

Of the 150 patients with RA who used the app, 83% were women, 7% had been diagnosed just two years before or less, and 50% were seropositive. Their median age was 62 years. Controls had very similar characteristics.

Results

The app suggested delayed visits 108 times and early visits 31 times during the year-long study period in the 150 app users. In the year before participants used the app, the median volume of monthly rheumatologist visits was 31.2 compared with 30.4 for patients in the control group. During the study year in which the app was used, patients’ median number of visits per month was 36.8 compared with 38.7 in the control group. This difference was not statistically significant. No differences were noted in flare rates or visit delays.

ad goes here:advert-2
ADVERTISEMENT
SCROLL TO CONTINUE

Conclusion

In this initial trial of an application intended to improve visit efficiency, Solomon et al. found that an integrated PRO app was feasible in clinical practice, but produced no reduction in visit volume in this first study. Use of the app outside an academic medical center will be pursued.

For complete details, including source material, refer to the full study.   


Excerpted and adapted from:

Solomon DH, Altwies H, Santacroce L, et al. A mobile health application integrated in the electronic health record for rheumatoid arthritis patient-reported outcomes: A controlled interrupted time-series analysis of impact on visit efficiency. Arthritis Rheumatol. 2024 May;76(5):

Share: 

Filed under:ConditionsGuidanceResearch RheumRheumatoid Arthritis Tagged with:Arthritis & RheumatologyRA Resource CenterResearchRheumatoid Arthritis (RA)

Related Articles

    Thick Skin & Solid Research: Necessary Ingredients for Publishing Success

    June 1, 2023

    Scientific publishing requires a commitment to clear writing, concise narratives and a willingness to accept feedback. Daniel Solomon, MD, editor-in-chief of Arthritis & Rheumatology, provides insights into his experiences.

    Study: Don’t Automatically Blame Burnout on Electronic Health Records

    May 12, 2022

    When it comes to experiencing burnout, time spent in an electronic health records (EHR) system appears to be only a minor contributing factor. Although clinicians and other healthcare professionals may log many hours at the keyboard putting information into the EHR, other factors likely play a bigger role in the workplace exhaustion and feelings of…

    The 2020 ACR Awards of Distinction & Masters Class

    November 12, 2020

    Presidential Gold Medal The highest award the ACR can bestow, the Presidential Gold Medal is awarded in recognition of outstanding achievements in rheumatology over an entire career. This year’s award went to James O’Dell, MD, the Stokes-Shackleford Professor of Internal Medicine, vice chair of internal medicine and chief of the Division of Rheumatology at the…

    Measuring Up for Meaningful Use

    April 13, 2011

    The Centers for Medicare and Medicaid Services’ (CMS’) Electronic Health Record (EHR) Incentive Program—Meaningful Use—requires that eligible providers participating in the incentive program successfully demonstrate meaningful use of the EHR system by reporting on a set of core and menu functional objectives to qualify for incentive payments of up to $44,000.

  • About Us
  • Meet the Editors
  • Issue Archives
  • Contribute
  • Advertise
  • Contact Us
  • Copyright © 2025 by John Wiley & Sons, Inc. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. ISSN 1931-3268 (print). ISSN 1931-3209 (online).
  • DEI Statement
  • Privacy Policy
  • Terms of Use
  • Cookie Preferences