Evidence map›Paper›PMID 41089767›Full record

ArticleOpen forum infectious diseases2025

Budget Impact of Adopting Nirmatrelvir-Ritonavir for Treating COVID-19 in a Large Integrated Healthcare System.

David P Bui, Denise M Hynes, Edwin Wong, Robert Vergun, Lei Yan, Yuli Li, Nallakkandi Rajeevan, Kristin Berry, Hung-Mo Lin, Yuan Huang and 4 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. 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

14 authors.

David P BuiVA Health Systems Research (HSR) Center to Improve Veteran Involvement in Care (CIVIC), Veteran Affairs Portland Health Care System, Portland, Oregon, USA.ORCID https://orcid.org/0000-0003-0861-0850
Denise M HynesVA Health Systems Research (HSR) Center to Improve Veteran Involvement in Care (CIVIC), Veteran Affairs Portland Health Care System, Portland, Oregon, USA.
Edwin WongVA Health Systems Research (HSR) Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA.
Robert VergunVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.
Lei YanVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-4779-2688
Yuli LiVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.
Nallakkandi RajeevanVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.
Kristin BerryVA Health Systems Research (HSR) Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA.ORCID https://orcid.org/0009-0000-7372-7727
Hung-Mo LinVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-3176-6570
Yuan HuangVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-8011-3034
Diana J GovierVA Health Systems Research (HSR) Center to Improve Veteran Involvement in Care (CIVIC), Veteran Affairs Portland Health Care System, Portland, Oregon, USA.ORCID https://orcid.org/0000-0002-3643-3540
Mihaela AslanVeterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Health Care System, West Haven, Connecticut, USA.
George IoannouVA Health Systems Research (HSR) Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, USA.ORCID https://orcid.org/0000-0003-1796-8977
Kristina L BajemaVeterans Affairs Portland Health Care System, Portland, Oregon, USA.

Funding

HSRD VA IK6 HX003395
6 · The paper itself

Abstract

Background: Understanding the budget impact of prescribing nirmatrelvir-ritonavir (NR) for COVID-19 can inform procurement and allocation strategies in large healthcare systems. Methods: We assessed the budget impact of providing NR in the Veterans Health Administration (VHA) for all treatment-eligible Veterans (laboratory-confirmed COVID-19 illness from April 2022 through March 2023) and by clinical subgroups, including predicted hospitalization/death risk quartile. We used decision tree models that included 30-day emergency department (ED) visits, hospitalizations, and death to assess the budget impact of NR. Transition probabilities were derived from a target trial emulation of NR effectiveness in the same population. We priced NR at $1031/course and used cost accounting records to estimate ED ($1420), hospitalization ($22 419), and hospitalization with ICU ($59 918) costs. Results: Among 138 261 treatment-eligible Veterans, 18% ( Conclusions: NR may reduce 30-day COVID-19 healthcare utilization costs, but the high cost of purchasing NR is likely to exceed those savings. Price reductions are necessary for NR to be a financially viable treatment for healthcare systems. Risk-informed allocation strategies can help maximize treatment benefits and minimize budget increases.

Indexed as

antiviralbudget impactcostCOVID-19decision tree

Identifiers

PMID41089767
PMCPMC12517272

What OpenQuestion holds

Textmetadata
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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.