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Telemedicine Use across Medical Specialties and Diagnoses
Vivian Hsiao1,2, Thevaa Chandereng3,4, Jeffrey A Huebner1,5
1School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States.
Telemedicine use varies by medical specialty, diagnosis, and patient demographics. Factors like need for physical exams and patient characteristics influence modality choices, impacting adoption.
Area of Science:
- Health Services Research
- Digital Health
- Medical Informatics
Background:
- The COVID-19 pandemic accelerated telemedicine adoption, making it a routine care component.
- Understanding factors influencing telemedicine use is crucial for addressing its limitations.
Purpose of the Study:
- To analyze how medical specialty, diagnosis, and patient demographics interact to shape telemedicine usage patterns.
- To identify disparities in telemedicine modality selection across different patient groups and specialties.
Main Methods:
- Extracted outpatient encounter and patient data from an academic health system (June 2020-June 2021).
- Analyzed relationships between specialty, diagnosis, visit modality (video, audio, in-person), and patient characteristics (age, sex, race/ethnicity, rural-urban status).
- Utilized mixed-effects logistic regression to assess associations between patient characteristics and telemedicine modality.
Main Results:
- Nearly 2.5 million encounters were analyzed, with diagnoses requiring physical exams favoring in-person visits.
- Rural patients showed varied video telemedicine use by specialty; males and non-white patients generally used video less.
- Demographic groups exhibited unique telemedicine usage patterns, particularly in Psychiatry, influencing overall adoption.
Conclusions:
- In-person visits are preferred for diagnoses needing physical examination or minor procedures.
- Patient demographics significantly influence telemedicine modality choice, varying by medical specialty.
- These disparities highlight the need to address perceived usefulness and accessibility to ensure equitable telemedicine adoption.
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