Evidence map›Paper›PMID 32421700›Full record

ArticlePloS one2020

Increased financial burdens and lengths of stay in patients with healthcare-associated infections due to multidrug-resistant bacteria in intensive care units: A propensity-matched case-control study.

Li-Hsiang Su, I-Ling Chen, Ya-Fen Tang, Jen-Sin Lee, Jien-Wei Liu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Antibiotics for hospital-acquired pneumonia in neonates and children.The Cochrane database of systematic reviews · 2021
    Pooled it
  3. Convergent Architecture of thePathogens (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Article
  6. Application of the infection risk scan in an intensive care unit.Antimicrobial resistance and infection control · 2026
    Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2017-2021.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023
    Article
  18. Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2016-2020.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2022
    Article
  19. Article
  20. 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

5 authors at 4 institutions in 1 country.

Li-Hsiang SuInfection Control Team, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
I-Ling ChenDepartment of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Ya-Fen TangInfection Control Team, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Jen-Sin LeeFaculty of Finance, I-Shou University, Kaohsiung, Taiwan.
Jien-Wei LiuInfection Control Team, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.ORCID 0000-0001-7704-1933
Kaohsiung Chang Gung Memorial Hospital · TWChang Gung University · TWI-Shou University · TWKaohsiung Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIncidence rates of healthcare-associated infections (HAIs) depend upon infection control policy and practices, and the effectiveness of the implementation of antibiotic stewardship. Amongst intensive care unit (ICU) patients with HAIs, a substantial number of pathogens were reported to be multidrug-resistant bacteria (MDRB). However, impacts of ICU HAIs due to MDRB (MDRB-HAIs) remain understudied. Our study aimed to evaluate the negative impacts of MRDB-HAIs versus HAIs due to non-MDRB (non-MRDB-HAIs).

methodsAmong 60,317 adult patients admitted at ICUs of a 2680-bed medical centre in Taiwan between January 2010 and December 2017, 279 pairs of propensity-score matched MRDB-HAI and non-MRDB-HAI were analyzed. PRINCIPAL

findingsBetween the MDRB-HAI group and the non-MDRB-HAI group, significant differences were found in overall hospital costs, costs of medical and nursing services, medication, and rooms/beds, and in ICU length-of-stay (LOS). As compared with the non-MDRB-HAI group, the mean of the overall hospital costs of patients in the MDRB-HAI group was increased by 26%; for categorized expenditures, the mean of costs of medical and nursing services of patients in the MDRB-HAI group was increased by 8%, of medication by 26.9%, of rooms/beds by 10.3%. The mean ICU LOS in the MDRB-HAI group was increased by 13%. Mortality rates in both groups did not significantly differ.

conclusionsThese data clearly demonstrate more negative impacts of MDRB-HAIs in ICUs. The quantified financial burdens will be helpful for hospital/government policymakers in allocating resources to mitigate MDRB-HAIs in ICUs; in case of need for clarification/verification of the medico-economic burdens of MDRB-HAIs in different healthcare systems, this study provides a model to facilitate the evaluations.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesCatheter-Related InfectionsCritical CareCross InfectionDrug Resistance, Multiple, BacterialFemaleHospital CostsHospitalizationHospitalsHumansIncidenceInfection ControlIntensive Care Units

Identifiers

PMID32421700
PMCPMC7233534
OpenAlexW3025476698

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.