Evidence map›Paper›PMID 37656506›Full record

ArticleJournal of medical Internet research2023

Flexible and Innovative Connectivity Solution to Support National Decentralized Infectious Diseases Point-of-Care Testing Programs in Primary Health Services: Descriptive Evaluation Study.

Amit Saha, Kelly Andrewartha, Steven G Badman, Annie Tangey, Kirsty S Smith, Sergio Sandler, Stuart Ramsay, Wilton Braund, Stuart Manoj-Margison, Susan Matthews and 3 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

13 authors.

Amit Saha *Kirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-6333-6535
Kelly AndrewarthaFlinders University International Centre for Point-of-Care Testing, Adelaide, Australia.ORCID 0009-0006-3182-7280
Steven G BadmanKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-4222-3176
Annie TangeyKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-0798-0542
Kirsty S SmithKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-2637-3561
Sergio SandlerKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0009-0003-0124-9019
Stuart RamsayFlinders University International Centre for Point-of-Care Testing, Adelaide, Australia.ORCID 0009-0006-2247-4073
Wilton BraundClinical Universe, Adelaide, Australia.ORCID 0009-0009-9891-2203
Stuart Manoj-MargisonAustralian Government Department of Health, Canberra, Australia.ORCID 0009-0007-6613-5636
Susan MatthewsFlinders University International Centre for Point-of-Care Testing, Adelaide, Australia.ORCID 0000-0001-6824-4528
Mark D S ShephardFlinders University International Centre for Point-of-Care Testing, Adelaide, Australia.ORCID 0000-0002-9181-1874
Rebecca GuyKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-2929-4634
Louise Causer *Kirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-8814-0678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular point-of-care (POC) testing for Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and Trichomonas vaginalis (TV) has been available in regional and remote primary health services in Australia as part of a decentralized POC testing program since 2016 and for SARS-CoV-2 from 2020. As there was no suitable existing connectivity infrastructure to capture and deliver POC test results to a range of end users, a new system needed to be established.

objectiveThe aim of the study is to design, implement, and optimize a connectivity system to meet clinical management, analytical quality management, and public health surveillance needs.

methodsWe used commercially available e-messaging technology coupled with adapted proprietary software to integrate a decentralized molecular POC testing platform (GeneXpert) in primary health services and interface with end-user databases. This connectivity infrastructure was designed to overcome key barriers to the implementation, integration, and monitoring of these large multijurisdictional infectious disease POC testing networks. Test result messages were tailored to meet end-user needs. Using centrally captured deidentified data, we evaluated the time to receipt of test results and completeness of accompanying demographic data.

resultsFrom January 2016 to April 2020, we operationalized the system at 31 health services across 4 jurisdictions and integrated with 5 different patient management systems to support the real-time delivery of 29,356 CT/NG and TV test results to designated recipients (patient management system and local clinical and central program databases). In 2019, 12,105 CT/NG and TV results were delivered, and the median time to receipt of results was 3.2 (IQR 2.2-4.6) hours, inclusive of test runtime. From May 2020 to August 2022, we optimized the system to support rapid scale-up of SARS-CoV-2 testing (105 services; 6 jurisdictions; 71,823 tests) and additional sexually transmissible infection testing (16,232 tests), including the electronic disease-specific notifications to jurisdictional health departments and alerts for connectivity disruption and positive results. In 2022, 19,355 results were delivered with an overall median transmission time of 2.3 (IQR 1.4-3.1) hours, 2.2 (IQR 1.2-2.3) hours for SARS-CoV-2 (n=16,066), 3.0 (IQR 2.0-4.0) hours for CT/NG (n=1843), and 2.6 (IQR 1.5-3.8) hours for TV (n=1446). Demographic data (age, sex, and ethnicity) were completed for 99.5% of test results in 2022.

conclusionsThis innovative connectivity system designed to meet end-user needs has proven to be sustainable, flexible, and scalable. It represents the first such system in Australia established independent of traditional pathology providers to support POC testing in geographically dispersed remote primary health services. The system has been optimized to deliver real-time test results and has proven critical for clinical, public health, and quality management. The system has significantly supported equitable access to rapid diagnostics for infectious diseases across Australia, and its design is suitable for onboarding other POC tests and testing platforms in the future.

Indexed as

Communicable DiseasesCOVID-19COVID-19 TestingHealth ServicesHumansPoint-of-Care TestingSARS-CoV-2connectivitydiagnosticsdigital healthdisease surveillanceGeneXpertinfectious diseasePOC testingpoint-of-care

Identifiers

PMID37656506
PMCPMC10504621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.