Evidence map›Paper›PMID 39958679›Full record

ArticleClinicoEconomics and outcomes research : CEOR2025

Real World Evaluation of Next-Day Molecular Respiratory Infectious Disease Testing on Healthcare Resource Utilization and Costs.

Andrea J French, Maren S Fragala, Azia S Evans, Pallavi Upadhyay, Steven E Goldberg, Jairus Reddy

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Andrea J FrenchHealthTrackRx, Denton, TX, USA.
Maren S FragalaHealthTrackRx, Denton, TX, USA.
Azia S EvansHealthTrackRx, Denton, TX, USA.ORCID 0000-0002-8309-5222
Pallavi UpadhyayHealthTrackRx, Denton, TX, USA.
Steven E GoldbergHealthTrackRx, Denton, TX, USA.
Jairus ReddyHealthTrackRx, Denton, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Advancements in pathogen identification by diagnostic testing may improve patient outcomes. This study evaluated healthcare utilization and costs following diagnostic testing for acute oropharyngeal and respiratory tract infections (RTIs). Patients and Methods: Healthcare utilization and costs were evaluated in patients with acute oropharyngeal infections (n=1,172,693), and RTIs (n=4,005,228) who received a syndromic panel-based PCR test with next-day results (HealthTrackRx, Denton, TX), or no test in the IQVIA PharMetrics Results: Statistically significant differences were observed between patients who received the PCR test compared to those who received no test. The PCR test cohort had lower total healthcare costs (mean = $5,601±$29,170, median = $807) versus the no test cohort (mean = $7,460±$40,817, median = $1,163) (p = 0.0014) over 6 months, and fewer outpatient visits, other medical service visits, emergency room visits, and inpatient stays (p<0.0001). Similarly, those who received the PCR test for oropharyngeal infection trended towards lower total healthcare costs (mean = $4,393±$13,524, median=$844) than those who received no test (mean = $5,503±$34,141, median = $956) (p=0.0525) and had fewer outpatient and other medical services (p<0.0001). Conclusion: Next-day molecular testing for respiratory and oropharyngeal infection lowers healthcare utilization and costs, suggesting improved patient care through reduced need for healthcare resources.

Indexed as

diagnosticshealthcare utilizationinfluenza virusesNAATPCRpharyngitisrespiratory tract infectionrespiratory virussyndromic multiplex testing

Identifiers

PMID39958679
PMCPMC11829601

What OpenQuestion holds

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LicenceCC BY-NC
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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.