Evidence map›Paper›PMID 32367125›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Method for Economic Evaluation of Bacterial Whole Genome Sequencing Surveillance Compared to Standard of Care in Detecting Hospital Outbreaks.

Praveen Kumar, Alexander J Sundermann, Elise M Martin, Graham M Snyder, Jane W Marsh, Lee H Harrison, Mark S Roberts

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Real-Time Genomic Surveillance for Enhanced Healthcare Outbreak Detection and Control: Clinical and Economic Impact.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Whole-genome sequencing surveillance of vancomycin-resistantInfection control and hospital epidemiology · 2025
    Article
  10. Review
  11. Article
  12. Genomic Surveillance for Enhanced Healthcare Outbreak Detection and Control.medRxiv : the preprint server for health sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Two artificial tears outbreak-associated cases of XDRmedRxiv : the preprint server for health sciences · 2023
    Article
  20. 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
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.

Praveen KumarDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Alexander J SundermannThe Microbial Genomic Epidemiology Laboratory, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.
Elise M MartinDepartment of Infection Prevention and Control, University of Pittsburgh Medical Center Presbyterian Hospital, Pittsburgh, Pennsylvania, USA.
Graham M SnyderDepartment of Infection Prevention and Control, University of Pittsburgh Medical Center Presbyterian Hospital, Pittsburgh, Pennsylvania, USA.
Jane W MarshThe Microbial Genomic Epidemiology Laboratory, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.
Lee H HarrisonThe Microbial Genomic Epidemiology Laboratory, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.
Mark S RobertsDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Enhanced Detection System for Healthcare-Associated Transmission of InfectionR01AI127472 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRISON, LEE H · 2016 to 2025
$7.6M
Genomic Epidemiology for Hospital Outbreak DetectionR21AI109459 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRISON, LEE H · 2014 to 2015
$437k
NIAID NIH HHS R01 AI127472NIAID NIH HHS R21 AI109459
6 · The paper itself

Abstract

backgroundWhole genome sequencing (WGS) surveillance and electronic health record data mining have the potential to greatly enhance the identification and control of hospital outbreaks. The objective was to develop methods for examining economic value of a WGS surveillance-based infection prevention (IP) program compared to standard of care (SoC).

methodsThe economic value of a WGS surveillance-based IP program was assessed from a hospital's perspective using historical outbreaks from 2011-2016. We used transmission network of outbreaks to estimate incremental cost per transmission averted. The number of transmissions averted depended on the effectiveness of intervening against transmission routes, time from transmission to positive culture results and time taken to obtain WGS results and intervene on the transmission route identified. The total cost of an IP program included cost of staffing, WGS, and treating infections.

resultsApproximately 41 out of 89 (46%) transmissions could have been averted under the WGS surveillance-based IP program, and it was found to be a less costly and more effective strategy than SoC. The results were most sensitive to the cost of performing WGS and the number of isolates sequenced per year under WGS surveillance. The probability of the WGS surveillance-based IP program being cost-effective was 80% if willingness to pay exceeded $2400 per transmission averted.

conclusionsThe proposed economic analysis is a useful tool to examine economic value of a WGS surveillance-based IP program. These methods will be applied to a prospective evaluation of WGS surveillance compared to SoC.

Indexed as

Disease OutbreaksStandard of CareCost-Benefit AnalysisGenome, BacterialHospitalsHumansProspective StudiesWhole Genome Sequencingeconomic evaluationelectronic health recordhealthcare-associated infectionsoutbreak detectionwhole genome sequencing

Identifiers

PMID32367125
PMCPMC8246822

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.