Evidence map›Paper›PMID 33526501›Full record

ArticleBMJ open2021

Budget impact analysis of routinely using whole-genomic sequencing of six multidrug-resistant bacterial pathogens in Queensland, Australia.

Louisa G Gordon, Thomas M Elliott, Brian Forde, Brett Mitchell, Philip L Russo, David L Paterson, Patrick N A Harris

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Whole-genome sequencing surveillance of vancomycin-resistantInfection control and hospital epidemiology · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Comparative genomic analysis of antibiotic resistance and virulence genes inFrontiers in cellular and infection microbiology · 2023
    Article
  18. Whole-Genome Sequencing Surveillance and Machine Learning of the Electronic Health Record for Enhanced Healthcare Outbreak Detection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  19. Article
  20. 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

7 authors at 6 institutions in 1 country.

Louisa G GordonPopulation Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia Louisa.Gordon@qimrberghofer.edu.au.ORCID 0000-0002-3159-4249
Thomas M ElliottPopulation Health Department, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0002-7702-7688
Brian FordeSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-2264-4785
Brett MitchellSchool of Nursing and Midwifery, The University of Newcastle, Newcastle, New South Wales, Australia.ORCID 0000-0003-4220-8291
Philip L RussoSchool of Nursing and Midwifery, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-3822-0554
David L PatersonThe University of Queensland, Centre for Clinical Research, Brisbane, Queensland, Australia.ORCID 0000-0003-2079-4437
Patrick N A HarrisThe University of Queensland, Centre for Clinical Research, Brisbane, Queensland, Australia.ORCID 0000-0002-2895-0345
The University of Queensland · AUMonash University · AUQIMR Berghofer Medical Research Institute · AUQueensland Health · AUQueensland University of Technology · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo predict the cost and health effects of routine use of whole-genome sequencing (WGS) of bacterial pathogens compared with those of standard of care.

designBudget impact analysis was performed over the following 5 years. Data were primarily from sequencing results on clusters of multidrug-resistant organisms across 27 hospitals. Model inputs were derived from hospitalisation and sequencing data, and epidemiological and costing reports, and included multidrug resistance rates and their trends.

settingQueensland, Australia.

participantsHospitalised patients.

interventionsWGS surveillance of six common multidrug-resistant organisms ( PRIMARY AND SECONDARY OUTCOMES: Expected hospital costs, counts of patient infections and colonisations, and deaths from bloodstream infections.

resultsIn 2021, 97 539 patients in Queensland are expected to be infected or colonised with one of six multidrug-resistant organisms with standard of care testing. WGS surveillance strategy and earlier infection control measures could avoid 36 726 infected or colonised patients and avoid 650 deaths. The total cost under standard of care was $A170.8 million in 2021. WGS surveillance costs an additional $A26.8 million but was offset by fewer costs for cleaning, nursing, personal protective equipment, shorter hospital stays and antimicrobials to produce an overall cost savings of $30.9 million in 2021. Sensitivity analyses showed cost savings remained when input values were varied at 95% confidence limits.

conclusionsCompared with standard of care, WGS surveillance at a state-wide level could prevent a substantial number of hospital patients infected with multidrug-resistant organisms and related deaths and save healthcare costs. Primary prevention through routine use of WGS is an investment priority for the control of serious hospital-associated infections.

Indexed as

Cross InfectionDrug Resistance, Multiple, BacterialAnti-Bacterial AgentsAustraliaGenomicsHumansMicrobial Sensitivity TestsQueenslandAnti-Bacterial Agentshealth economicsinfection controlmicrobiology

Identifiers

PMID33526501
PMCPMC7852923
OpenAlexW3126533299

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.