Hospital-Affiliated Doctors Prescribe Fewer Antibiotics through Telehealth than Third-Party Physicians

During the COVID-19 pandemic, the demand for telemedicine boomed - increasing 63-fold among Medicare users alone from approximately 840,000 telehealth visits in 2019 to 52.7 million in 2020.

As more people flocked to telemedicine, health systems and increasingly implemented direct-to-consumer telehealth to provide convenient, safe options for acute care. But it was unknown how these services varied in quality of care.

A new study found that for telemedicine visits related to acute respiratory infection, contractor-supplied physicians prescribed antibiotics to patients nearly twice as often as emergency physicians employed by the hospital system.

"The vast majority of acute respiratory infections are viral and antibiotics just don't help," said Kathleen Li, M.D., M.S., lead author of the paper and emergency physician at Michigan Medicine. "On top of that, antibiotics have side effects for patients, including gastrointestinal issues and allergic reactions, and from a broad public health standpoint there is growing concern for antibiotic resistance. Even if it doesn't harm that individual patient, it can eventually impact everyone's vulnerability to resistant strains."

Acute respiratory infection covers an array of conditions, including the common cold, flu and bronchitis. They are one of the most common reasons patients seek virtual care, making up around one-third of all direct-to-consumer telehealth visits.

The research team analyzed more than 250 on-demand telemedicine visits available to employees at a large academic health system from March 2018 to July 2019. The visits were either staffed by system-affiliated emergency physicians or mixed-specialty physicians employed by a third-party contractor.

Of all encounters related to acute respiratory infection, contracted physicians prescribed antibiotics in 37% of visits, compared to 18% for hospital-affiliated clinicians. After adjusting for other factors, the researchers predicted a 15% difference between the two groups.

"One reason third-party telemedicine providers in our study may have prescribed more antibiotics is if they were practicing more conservatively because they didn't have access to the patient’s record for additional context and were basing treatment decisions all on one interaction with the patient," Li said.

While the affiliated physicians in this study demonstrated improved antibiotic stewardship, she says, the prescription rates are likely still too high.

In June of 2020, the American College of Emergency Physicians called antimicrobial resistance a "critical threat to the public health and health of patients in emergency departments throughout the United States and the world." The organization stressed the importance of avoiding antibiotics for nonresponsive conditions and educating patients and guardians about why a prescription may not be effective.

"This is not even an issue specific to telemedicine or emergency medicine: urgent cares, clinics and primary care providers have all historically overprescribed antibiotics," she said. "Societally, patients often expect something tangible like a prescription after paying for a visit to a doctor."

Determining whether an infection is viral or bacterial is not always straightforward, especially through a virtual visit. So, Li says, a lot of doctors may prescribe antibiotics to be “safe” or because they feel a need to satisfy the patient.

She cautioned that antibiotics are likely ineffective, however, because more than 90% of patients coming to providers with an acute cough have a condition caused by a virus.

The study took place before the COVID-19 pandemic and subsequent telehealth explosion. As more providers consider paying third party telemedicine companies to cover virtual urgent care services, Li's team has concerns it would further fragment care.

"In contrast, if telemedicine services are offered through the patient's usual context of care, the doctor providing the service would have access to all their past information and know how likely a patient will be able to follow up and they might be less inclined to prescribe antibiotics when they are not necessary," she said. "Going forward, I hope health system leaders factor in these quality-versus-cost tradeoffs in terms of continuity of care and antibiotic stewardship when deciding how to structure their telemedicine services."

Research reported in this publication was supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under award number T32HL129974. The authors are solely responsible for his document's contents, findings, and conclusions, which do not necessarily represent the views of the NIH.

Li KY, Ngai KM, Genes N.
Differences in antibiotic prescribing rates for telemedicine encounters for acute respiratory infections.
J Telemed Telecare. 2022 Jan 25:1357633X221074503. doi: 10.1177/1357633X221074503

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...