Evidence mapPaperPMID 41661595Full record

ArticleJAMA network open2026

Episode Charges and Subsequent Visits After Telemedicine vs In-Person Care.

Bingyu Zhang, Lu Li, Yiwen Lu, John B Salmon, Robert L Stetson, Michael A Horst, Xuan Bi, Srinivas K Sridhara, Mitchell D Schnall, Tessa S Cook and 5 more

Abstract readComparative Study
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Bingyu ZhangCenter for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.
Lu LiCenter for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.
Yiwen LuCenter for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.
John B SalmonUniversity of Pennsylvania Health System, Philadelphia.
Robert L StetsonUniversity of Pennsylvania Health System, Philadelphia.
Michael A HorstUniversity of Pennsylvania Health System, Philadelphia.
Xuan BiCarlson School of Management, University of Minnesota, Minneapolis.
Srinivas K SridharaUniversity of Pennsylvania Health System, Philadelphia.
Mitchell D SchnallDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Tessa S CookDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Irene PapanicolasDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.
Shivan J MehtaDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Kevin B MahoneyLeonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia.
David A AschDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Yong ChenCenter for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Telemedicine use increased during the COVID-19 pandemic and has remained a regular component of health care delivery. However, the financial implications of this change for health systems' reimbursement and utilization remain unclear. Objective: To compare 30-day episode charges and subsequent visits after telemedicine and in-person index visits. Design, Setting, and Participants: The target trial emulation conducted in this comparative effectiveness research included ambulatory in-person and telemedicine visit data from an academic health system comprising 5 hospitals in Pennsylvania from January 1 to April 30, 2024. Analyses focused on 10 high-volume clinical conditions commonly managed through telemedicine. Exposures: Telemedicine visits vs in-person visits. Main Outcomes and Measures: Outcomes included episode charges (the billed amount submitted for reimbursement to insurers and patients, excluding physician professional and facility fees for the index encounter) in an episode window from 7 days before to 30 days after the index visit and the number of subsequent visits within the episode window. Linear regression and Poisson regression with propensity score matching were conducted to adjust for demographic, clinical, socioeconomic, and contextual factors. Results: A total of 163 308 visits (108 383 [66.4%] among females; mean [SD] patient age, 49.2 [19.1] years) were included in this study. After propensity score matching, the mean 30-day episode charge was $96.60 (95% CI, $92.24-$100.96) for telemedicine encounters and $509.21 (95% CI, $500.65-$517.77) for in-person encounters (mean difference, $412.62; 95% CI, $403.01-$422.22). Additionally, telemedicine visits were associated with fewer follow-up visits per 30-day episode than were in-person visits (mean [SD], 3.44 [5.38] vs 4.44 [7.41] visits; comparative reduction, 23% [95% CI, 20%-26%]). For mental and behavioral disorders, 3 categories-depressive disorders (-$69.47; 95% CI, -$100.90 to -$38.04), anxiety and fear-related disorders ($38.06; 95% CI, $23.14 to $52.99), and neurodevelopmental disorders (-$28.88; 95% CI, -$54.72 to -$3.04)-exhibited comparable episode charges for telemedicine vs in-person encounters. Conclusions and Relevance: In this comparative effectiveness research using target trial emulation of outpatient telemedicine and in-person visits, telemedicine visits overall were associated with lower charges and fewer subsequent visits within the 30-day episode than were in-person visits. For mental and behavioral conditions, charges were comparable. These findings suggest that telemedicine may serve as a lower-charge alternative to in-person care without increasing the need for subsequent visits.

Indexed as

COVID-19Episode of CareTelemedicineComparative Effectiveness ResearchFemaleHumansMaleMiddle AgedPandemicsPennsylvaniaSARS-CoV-2

Identifiers

PMID41661595
PMCPMC12887741

What Socratic holds

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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 Socratic graph.