From the Journals

Tool in development aims to steer telehealth visit appropriateness in rheumatology


 

FROM ARTHRITIS CARE AND RESEARCH

Researchers have created a model to suggest which rheumatology visits can be effectively carried out via telehealth and which should remain in-person visits. The model not only could help to alleviate the decision burden on providers but also help to navigate how to incorporate telehealth into daily rheumatology practice as the COVID-19 pandemic subsides, experts say.

The beginning of the pandemic quickly drove rheumatology practices to adopt telehealth – which in the past has been studied only in selective groups of relatively stable patients. In Duke University’s department of rheumatology, nearly 90% of visits were conducted via telehealth for several weeks in April and May 2020, said David L. Leverenz, MD, an assistant professor of medicine at Duke University in Durham, N.C.

Woman on a Virtual Doctor Visit RichLegg/Getty Images

Since then, the practice has continued providing telehealth for a wider variety of patients: patients with high disease activity, those with low disease activity, people living 3 hours away or just 5 minutes from the medical center.

“Although the pandemic has really improved, and certainly we feel very safe providing in-person care, we’ve realized that it’s actually really possible to provide telehealth care to a lot of patients,” he said.

Dr. David L. Leverenz, assistant professor of medicine at Duke University School of Medicine in Durham, North Carolina Duke University

Dr. David L. Leverenz

But there is no guidance on which visits may be more appropriate for telemedicine. To address this question, Dr. Leverenz and colleagues developed a model using an EASY score (Encounter Appropriate Score for You). After a patient encounter, providers rate whether that appointment would have been appropriate for telehealth. Using over 12,300 EASY scores from clinic visits throughout 2021, the investigators then built a model that uses patient sociodemographics, clinical and encounter characteristics, and provider experience with and preference for telemedicine to predict whether follow-up patient encounters could be conducted via telehealth or should be in person.

The model was then piloted with four Duke University rheumatologists for visits that took place from March through July 2022. A month prior to visits, researchers provided the rheumatologists a list of in-patient visits that the model suggested could be changed to telehealth visits. The list also included false changes, in which randomly selected visits were presented as being recommended for telehealth, although the model had not actually recommended the changes.

Dr. Leverenz and colleagues measured how frequently providers agreed with changes recommended by the model and the false changes. If a provider accepted a model-suggested change, the patient was contacted to either accept or reject the proposed switch. If a provider agreed with a false change, no additional action was taken.

Of the 201 patient encounters, there were 101 model-recommended changes and 100 artificial changes. Nearly all (99%) model-recommended changes suggested moving from in-person visits to telehealth visits. There was one recommendation to change a scheduled telehealth encounter to an in-person encounter. Of the false recommendations, 90 were for scheduled in-person visits, and 10 were for scheduled telehealth appointments.

Providers agreed with 71% of the model-recommended changes and with 21% of the false changes. Dr. Leverenz and colleagues reported “moderate agreement” between providers and model recommendations, reflected by a Cohen kappa coefficient of 0.45.

“This lined up pretty well with what providers thought was appropriate for the patient when presented with the information, and it also showed that, on top of current practice, that the model really does have the ability to expand appropriate telehealth care, which is really what we’re looking to do,” Dr. Leverenz said.

The article describing these results was published in Arthritis Care and Research.

Perhaps unsurprisingly, clinician preference for and experience with telemedicine were the biggest predictors of whether changes suggested by the model were accepted.

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