ArticleApplied clinical informatics2023
Telemedicine Use across Medical Specialties and Diagnoses.
Article in Applied clinical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Ambient Artificial Intelligence Scribes in Pediatric Hematology-Oncology: Early Implementation of DAX Copilot.Applied clinical informatics · 2026Article
- Innovations in geriatric care: leveraging technology to meet the needs of an aging world, a narrative review.The Journal of the Egyptian Public Health Association · 2026Review
- Telehealth Use During the COVID-19 Pandemic: A Case Study at Dialysis Centers in Washington, United States.Kidney medicine · 2025Article
- Video and Telephone Telehealth Use and Web-Based Patient Portal Activation Among Rural-Dwelling Patients: Retrospective Medical Record Review and Policy Implications.Journal of medical Internet research · 2025Article
- A qualitative mystery shopper study that de(codes) the experiences of English and Spanish-speaking patients who call to schedule a first-time primary care appointment in the Los Angeles, Houston, and New York Metropolitan Statistical Areas.SSM. Qualitative research in health · 2025Article
- Validity and Reliability of Teleconference-Based Goniometry for Measuring Ankle and Great Toe Joint Range of Motion.Cureus · 2025Article
- An analysis of telehealth in a post-pandemic rural, Midwestern community: increased comfort and a preference for primary care.BMC health services research · 2025Article
- Telemedicine Use Among Older Adults During COVID-19: A Narrative Literature Review of Utilization Patterns.Telemedicine reports · 2025Review
- Advancing cancer care through digital access in the USA: a state-of-the-art review of patient portals in oncology.BMJ oncology · 2025Review
- Preoperative remote consultation for a green bariatric surgery: can telemedicine be safe for patients and sustainable for the environment?Frontiers in surgery · 2025Article
- Article
- Telemedicine impact on patient disparities and physician practice patterns in cancer rehabilitation: A multicenter retrospective study.PM & R : the journal of injury, function, and rehabilitation · 2024Article
- Physician and Practice Characteristics Influencing Telemedicine Uptake Among Frontline Clinicians in the Early COVID-19 Pandemic Response: National Survey Study.JMIR formative research · 2024Article
- Physician assistants/associates in psychiatry: a workforce analysis.Human resources for health · 2024Article
- Integration of Telemedicine Consultation Into a Tertiary Radiation Oncology Department: Predictors of Use, Treatment Yield, and Effects on Patient Population.JCO clinical cancer informatics · 2024Article
- Utilizing an artificial intelligence framework (conditional generative adversarial network) to enhance telemedicine strategies for cancer pain management.Journal of anesthesia, analgesia and critical care · 2023Article
- Needs assessment and prioritization of key medical specialties: A telemedicine roadmap based on a mixed-methods framework.Digital healthArticle
- Impact of Transportation Barriers on Telehealth Use During the COVID-19 Pandemic.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe COVID-19 (coronavirus disease 2019) pandemic rapidly expanded telemedicine scale and scope. As telemedicine becomes routine, understanding how specialty and diagnosis combine with demographics to impact telemedicine use will aid in addressing its current limitations.
objectivesTo analyze the relationship between medical specialty, diagnosis, and telemedicine use, and their interplay with patient demographics in determining telemedicine usage patterns.
methodsWe extracted encounter and patient data of all adults who scheduled outpatient visits from June 1, 2020 to June 30, 2021 from the electronic health record of an integrated academic health system encompassing a broad range of subspecialties. Extracted variables included medical specialty, primary visit diagnosis, visit modality (video, audio, or in-person), and patient age, sex, self-reported race/ethnicity and 2013 rural-urban continuum code. Six specialties (General Surgery, Family Medicine, Gastroenterology, Oncology, General Internal Medicine, and Psychiatry) ranging from the lowest to the highest quartile of telemedicine use (video and audio) were chosen for analysis. Relative proportions of video, audio, and in-person modalities were compared. We examined diagnoses associated with the most and least frequent telemedicine use within each specialty. Finally, we analyzed associations between patient characteristics and telemedicine modality (video vs. audio/in-person, and video/audio vs. in-person) using a mixed-effects logistic regression model.
resultsA total of 2,494,296 encounters occurred during the study period, representing 420,876 unique patients (mean age: 44 years, standard deviation: 24 years, 54% female). Medical diagnoses requiring physical examination or minor procedures were more likely to be conducted in-person. Rural patients were more likely than urban patients to use video telemedicine in General Surgery and Gastroenterology and less likely to use video for all other specialties. Within most specialties, male patients and patients of nonwhite race were overall less likely to use video modality and video/audio telemedicine. In Psychiatry, members of several demographic groups used video telemedicine more commonly than expected, while in other specialties, members of these groups tended to use less telemedicine overall.
conclusionMedical diagnoses requiring physical examination or minor procedures are more likely to be conducted in-person. Patient characteristics (age, sex, rural vs. urban, race/ethnicity) affect video and video/audio telemedicine use differently depending on medical specialty. These factors contribute to a unique clinical scenario which impacts perceived usefulness and accessibility of telemedicine to providers and patients, and are likely to impact rates of telemedicine adoption.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.