Evidence map›Paper›PMID 34896098›Full record

ArticleClinical biochemistry2023

Evaluation of Abbott ID NOW COVID-19 POC test performance characteristics and integration in the regional health network workflows to improve health care delivery.

N Babic, K S Garner, J W Hirschhorn, R Zebian, F S Nolte

Open access · greenAbstract read
In one paragraph

Article in Clinical biochemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Observational
  3. [Implementation of isotermic PCR for detection of SARS-CoV-2 virus].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Article
  4. Article
  5. Review
  6. Review
  7. Rapid detection of SARS-CoV-2: The gradual boom of lateral flow immunoassay.Frontiers in bioengineering and biotechnology · 2022
    Review
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

5 authors at 1 institution in 1 country.

N BabicDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States. Electronic address: nbabic@musc.edu.
K S GarnerDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
J W HirschhornDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
R ZebianDepartment of Pulmonary and Critical Care Medicine, MUSC Health Florence Division, Florence, SC 29505, United States.
F S NolteDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, SC 29425, United States.
Medical University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent global surge of SARS-CoV-2 Delta variant, there continues to be high demand for COVID-19 diagnostic testing. Abbott ID NOW is a rapid, CLIA-waived, COVID-19 diagnostic test ideally suited for use in urgent care settings or where access to diagnostic testing is limited. In this study we describe the results of rigorous validation of ID NOW and post-implementation study of POC test utilization patterns within community hospitals and clinics. Performance of ID NOW was validated by comparison of the results from 207 consecutive, paired, specimens tested on the ID NOW and on the m2000/Alinity m platforms. Once validated, ID NOW devices were placed for clinical use at four regional hospitals and clinics. We found that the ID NOW and m2000/Alinity m positive and negative percent agreement were 94.5% (95% CI, 85.1% to 98.1%) and 99.3% (95% CI, 96.4% to 99.9%), respectively. As of August 2021, a total of 2,301 tests were performed by ID NOW at individual regional network sites. The population tested consisted of 55.5% White and 42.9% Black patients, with Black patients presenting predominantly in the hospitals, while White patients were more evenly distributed between hospital and clinic sites. Disease prevalence observed among patients tested by ID NOW (12.3%) was aligned with overall prevalence seen at regional sites (11.3%). In summary, the ID NOW test can provide rapid and accurate results in a variety of near-to-patient and POC settings. If used correctly, it could serve as a valuable diagnostic tool to enable equal access to care and improve healthcare delivery within large health network systems.

Indexed as

COVID-19SARS-CoV-2Clinical Laboratory TechniquesCOVID-19 TestingDelivery of Health CareHumansSensitivity and SpecificityWorkflowCOVID-19Diagnostic testingHealth systemID NOWPOCRegional health network

Identifiers

PMID34896098
PMCPMC8653396
OpenAlexW4200608234

What OpenQuestion holds

Textmetadata
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.