Evidence map›Paper›PMID 42245053›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Variation in Telehealth Use in a National Home Test-to-Treat Program for Acute Respiratory Infections.

Wojciech R Losos, Biqi Wang, Kim Fisher, Laurel O'Connor, Apurv Soni, Ben S Gerber

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

6 authors.

Wojciech R LososDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Biqi WangDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Kim FisherDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Laurel O'ConnorDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Apurv SoniDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0001-5049-3657
Ben S GerberDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Funding

CardiOvascular Digital hEalth Research (CODER) Training ProgramT32HL171799 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Ben Steven Gerber, David D. McManus · 2024 to 2026
$809k
RAPID ACCELERATION OF DIAGNOSTICS (RADX) CLINICAL EVALUATION SERVICES -TASK ORDER 0675N92022D00010 · NIBIB · VENTUREWELL · PI NEAL, REBEKAH ANNE · 2024 to 2024
$125k
NHLBI NIH HHS 75N92022D00010NHLBI NIH HHS T32 HL171799
6 · The paper itself

Abstract

Background: Home Test-to-Treat (HTTT) programs deliver timely antiviral treatment for acute respiratory infections, including COVID-19 and influenza, through at-home testing and telehealth. Because access is often measured by visit occurrence, variation in how and when care is delivered may be overlooked. We hypothesized that telehealth access follows distinct process-based patterns. Methods: We analyzed de-identified encounters from the national HTTT program (September 2023-July 2024); 6,213 of 8,160 eligible individuals remained after exclusions for missing data. Phenotypes were derived by k-means clustering of standardized variables capturing encounter timing, modality preference, process duration, and sociodemographic and digital access attributes. Ten-day surveys assessed symptom duration and healthcare utilization. Results: Three phenotypes emerged: Delayed/Disrupted Access (n = 1,537; 24.7%), Digitally Engaged but Socioeconomically Vulnerable (n = 1,460; 23.5%), and Mainstream Access and Efficient Utilization (n = 3,216; 51.8%). Mean process duration differed (15.93 [SD 3.84] vs 3.69 [3.31] vs 2.87 [2.41] hours; p < 0.001). Synchronous preference was lowest in the Digitally Engaged group (22.9%); antiviral prescribing was high (88.6%-91.9%). Among 10-day respondents (n = 1,023), symptom duration did not differ. Emergency department visits were most frequent in the Digitally Engaged group (2.3% vs 0.0% and 0.5%; p = 0.02) and urgent care in the Delayed/Disrupted group (5.8% vs 4.1% vs 2.0%; p = 0.02). Conclusions: Telehealth use in a national HTTT program formed distinct phenotypes defined by timing, modality, and care-process efficiency. Evaluating equity requires attention to how and when care is delivered, not simply whether it occurred.

Indexed as

access phenotypesacute respiratory infectioncare processdigital health equitytelehealthtest-to-treat

Identifiers

PMID42245053
PMCPMC13232411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.