Evidence map›Paper›PMID 39574896›Full record

ArticleResearch square2024

A randomized trial of at-home COVID-19 tests, telemedicine, and rapid prescription delivery for immunocompromised individuals.

Julia Moore Vogel, Ting-Yang Hung, Erin Coughlin, Felipe Delgado, Vik Kheterpal, Giorgio Quer, Eric Topol

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

7 authors.

Julia Moore VogelScripps Research Institute.
Ting-Yang HungScripps Research Institute.
Erin CoughlinScripps Research Institute.
Felipe DelgadoScripps Research Institute.
Vik KheterpalCareEvolution (United States).
Giorgio QuerScripps Research Institute.
Eric TopolScripps Research Institute.

Funding

Scripps Clinical and Translational Science HubUM1TR004407 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI Eric Jeffrey Topol · 2023 to 2026
$24.2M
NCATS NIH HHS UM1 TR004407
6 · The paper itself

Abstract

Background: COVID-19 continues to impose substantial risks to people who are immunocompromised and over 65 years old. Objective: Using a randomized control trial, we evaluated whether access to at-home COVID-19 tests, telemedicine, and same-day prescription delivery could reduce COVID cases, hospitalizations, and the cost of COVID care for the high-risk populations. Design: Individuals participated remotely, half (n = 346) receiving the option to access 10 at-home COVID-19 tests per month for themselves and others in their household as well as telemedicine and same-day Paxlovid delivery, and half following their standard testing and treatment practices (n = 325). Data sources: Outcome data were collected from surveys, electronic health records (EHR) and claims. Results: Intensive care unit (ICU) admissions were significantly reduced for intervention participants vs. control participants, (0.3% vs 4.6%, p < 0.001). COVID case incidence did not significantly differ (19.0% vs 20.4%, p = 0.69), nor did hospitalizations (5.2% vs 7.7%, p = 0.14). The intervention was estimated to result in a reduction of $3,650 in the cost of COVID care per person. Limitations: The specific intervention used is no longer available in the market and alternatives should be considered. Evolution of SARS-CoV-2 could change the effect observed. Survey completion is higher in the intervention group. Conclusions: In immunocompromised individuals and those at least aged 65 years, access to at-home COVID tests, telemedicine, and rapid Paxlovid delivery reduced the severity of COVID-19 infections, as reflected by a reduced need for ICU care; this has the potential to reduce the cost of COVID care.

Identifiers

PMID39574896
PMCPMC11581110

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.