Evidence map›Paper›PMID 30379956›Full record

ArticlePloS one2018

Excess direct hospital cost of treating adult patients with ventilator associated respiratory infection (VARI) in Vietnam.

Vu Quoc Dat, Vu Thi Lan Huong, Hugo C Turner, Louise Thwaites, H Rogier van Doorn, Behzad Nadjm

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Vu Quoc DatDepartment of Infectious Diseases, Hanoi Medical University, Hanoi, Vietnam.ORCID 0000-0002-5904-5970
Vu Thi Lan HuongWellcome Trust Asia Programme, Oxford University Clinical Research Unit, Hanoi, Vietnam.
Hugo C TurnerWellcome Trust Asia Programme, Oxford University Clinical Research Unit, Hanoi, Vietnam.
Louise ThwaitesWellcome Trust Asia Programme, Oxford University Clinical Research Unit, Hanoi, Vietnam.
H Rogier van DoornWellcome Trust Asia Programme, Oxford University Clinical Research Unit, Hanoi, Vietnam.
Behzad NadjmWellcome Trust Asia Programme, Oxford University Clinical Research Unit, Hanoi, Vietnam.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionVentilator associated respiratory infections (VARIs) are the most common hospital acquired infections in critical care worldwide. This work aims to estimate the total annual direct hospital cost of treating VARI throughout Vietnam.

methodsA costing model was constructed to evaluate the excess cost of diagnostics and treatment of VARI in Vietnam. Model inputs included costs for extra lengths of stay, diagnostics, VARI incidence, utilisation of ventilators and antibiotic therapy.

resultsWith the current VARI incidence rate of 21.7 episodes per 1000 ventilation-days, we estimated 34,428 VARI episodes in the 577 critical care units in Vietnam per year. The extra cost per VARI episode was $1,174.90 and the total annual excess cost was US$40.4 million. A 1% absolute reduction in VARI incidence density would save US$1.86 million annually. For each episode of VARI, the share of excess cost components was 45.1% for critical care unit stay and ventilation, 3.7% for diagnostics and 51.1% for extra antimicrobial treatment.

conclusionsAt the current annual government health expenditure of US$117 per capita, VARI represents a substantial cost to the health service in Vietnam. Enhanced infection prevention and control and antimicrobial stewardship programmes should be implemented to reduce this.

Indexed as

Hospital CostsAdultAnti-Bacterial AgentsAntimicrobial StewardshipCross InfectionHumansLength of StayRespiration, ArtificialVietnamAnti-Bacterial Agents

Identifiers

PMID30379956
PMCPMC6209379

What OpenQuestion holds

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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.