Telehealth Made EASY: Understanding Provider Perceptions of Telehealth Appropriateness in Outpatient Rheumatology Encounters.

Abstract

Objective

The purpose of this study was to evaluate a novel scoring system, the Encounter Appropriateness Score for You (EASY), to assess provider perceptions of telehealth appropriateness in rheumatology encounters.

Methods

The EASY scoring system prompts providers to rate their own encounters as follows: in-person or telehealth acceptable, EASY = 1; in-person preferred, EASY = 2; or telehealth preferred, EASY = 3. Assessment of the EASY scoring system occurred at a single academic institution from January 1, 2021, to August 31, 2021. Data were collected in three rounds: 1) initial survey (31 providers) assessing EASY responsiveness to five hypothetical scenarios, 2) follow-up survey (34 providers) exploring EASY responsiveness to 11 scenario modifications, and 3) assessment of EASYs documented in clinic care.

Results

The initial and follow-up surveys demonstrated responsiveness of EASYs to different clinical and nonclinical factors. For instance, less than 20% of providers accepted telehealth when starting a biologic for active rheumatoid arthritis, although more than 35% accepted telehealth in the same scenario if the patient lived far away or was well known to the provider. Regarding EASY documentation, 27 providers provided EASYs for 12,381 encounters. According to these scores, telehealth was acceptable or preferred for 29.7% of all encounters, including 21.4% of in-person encounters. Conversely, 24.4% of telehealth encounters were scored as in-person preferred.

Conclusion

EASY is simple, understandable, and responsive to changes in the clinical scenario. We have successfully accumulated 12,381 EASYs that can be studied in future work to better understand telehealth utility and optimize telehealth triage.

Department

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Provenance

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Citation

Published Version (Please cite this version)

10.1002/acr2.11470

Publication Info

Smith, Isaac D, Theresa M Coles, Catherine Howe, Robert Overton, Nicoleta Economou-Zavlanos, Mary J Solomon, Rong Zhao, Bhargav Adagarla, et al. (2022). Telehealth Made EASY: Understanding Provider Perceptions of Telehealth Appropriateness in Outpatient Rheumatology Encounters. ACR open rheumatology. 10.1002/acr2.11470 Retrieved from https://hdl.handle.net/10161/25618.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Smith

Isaac David Smith

Assistant Professor of Medicine
Coles

Theresa Marie Coles

Associate Professor in Population Health Sciences

Theresa Coles, Ph.D., is a health outcomes methodologist with a focus on measuring and evaluating patient-reported outcomes (PROs) and other clinical outcomes assessments (COAs), integrating PRO measures in clinical care, and improving interpretation of patient-centered outcome scores for use in healthcare delivery and clinical research settings to inform decision making.

My research program is comprised of 3 pillars:

  1. Enhance the assessment of physical function and related concepts to inform decision-making
  2. Improve interpretability of PRO scores
  3. Design and implement screeners to improve patient-centered care by measuring what matters
Economou-Zavlanos

Nicoleta Economou-Zavlanos

Assistant Professor of Biostatistics & Bioinformatics

Director of Duke Health AI Evaluation and Governance  
Founding Director of Algorithm-Based Clinical Decision Support (ABCDS) Oversight 

Nicoleta Economou-Zavlanos, PhD, is the Director of the Duke Health AI Evaluation & Governance Program and the founding director of the Algorithm-Based Clinical Decision Support (ABCDS) Oversight initiative. In this capacity, she leads Duke Health’s efforts to evaluate and govern health AI technologies. Dr. Economou also serves on the Executive Committee of the NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) Program and as a Scientific Advisor for the Coalition for Health AI (CHAI), driving the development of guidelines for AI assurance in healthcare. 

A nationally recognized expert in health AI governance, Dr. Economou has been instrumental in creating frameworks and methodologies for the registration, review, and assurance of health AI systems. Her research, published in leading journals such as NPJ Digital MedicineJAMAJAMA Health Forum, and JAMIA, reflects her commitment to advancing the responsible development and use of AI in healthcare.

Clowse

Megan Elizabeth Bowles Clowse

Professor of Medicine

Dr. Megan Clowse is an Associate Professor of Medicine and Chief of the Division of Rheumatology and Immunology; she also holds joint appointments in the Department of Obstetrics and Gynecology and Population Health Sciences.  Her clinical research focuses on the management of rheumatic diseases in pregnancy. She has cared for over 1000 pregnancies in women with rheumatic disease, collecting information on these pregnancies initially in the Duke Autoimmunity in Pregnancy Registry and Repository, and the MADRA (Maternal Autoimmune Disease Research Alliance) registry and repository.  She served on the Core Leadership Team for the inaugural American College of Rheumatology's Reproductive Health Guidelines, published January 2020.  Dr. Clowse created www.LupusPregnancy.org and www.ReproRheum.Duke.edu, websites dedicated to improving pregnancy planning and management for patients and rheumatologists.  

Dr. Clowse was the founding director of the Duke Lupus Clinic, where she continues to see patients each week and mentor junior faculty researchers.  The team has developed a new approach to lupus classification and management and is currently collecting and analyzing patient- and physician-reported measures to  better clarify this construct.  


Leverenz

David Leverenz

Associate Professor of Medicine

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