Evidence map›Paper›PMID 38336643›Full record

ArticleBMC public health2024

Cost of illness due to respiratory syncytial virus acute lower respiratory tract infection among infants hospitalized in Argentina.

Julia Dvorkin, Emiliano Sosa, Elizabeth Vodicka, Ranju Baral, Andrea Sancilio, Karina Dueñas, Andrea Rodriguez, Carlos Rojas-Roque, Patricia B Carruitero, Fernando P Polack and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Maternal RSV vaccination for infant protection: A systematic review and meta-analysis of phase 3 trials with an integrated economic evaluation.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Pooled it
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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 at 6 institutions in 3 countries.

Julia DvorkinFundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Emiliano SosaFundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Elizabeth VodickaCenter for Vaccine Innovation and Access, PATH, Seattle, WA, USA.
Ranju BaralCenter for Vaccine Innovation and Access, PATH, Seattle, WA, USA.
Andrea SancilioFundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Karina DueñasFundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Andrea RodriguezFundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Carlos Rojas-RoqueCentre for Health Economics, University of York, Heslington, York, UK.
Patricia B CarruiteroFacultad de Ciencias Económicas, Universidad Nacional de La Plata, La Plata, Argentina.
Fernando P PolackFundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina.
Clint PecenkaCenter for Vaccine Innovation and Access, PATH, Seattle, WA, USA.
Romina Libster *Fundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina. rlibster@infant.org.ar.
Mauricio T Caballero *Fundación Infant, Gavilán 94, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina. mcaballero@iib.unsam.edu.ar.
Infant Foundation · ARProgram for Appropriate Technology in Health · USConsejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Zonal General De Agudos Descentralizado "Evita Pueblo" · ARUniversidad Nacional de La Plata · ARUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation is scarce regarding the economic burden of respiratory syncytial virus (RSV) disease in low-resource settings. This study aimed to estimate the cost per episode of hospital admissions due to RSV severe disease in Argentina.

methodsThis is a prospective cohort study that collected information regarding 256 infants under 12 months of age with acute lower respiratory tract infection (ALRTI) due to RSV in two public hospitals of Buenos Aires between 2014 and 2016. Information on healthcare resource use was collected from the patient's report and its associated costs were estimated based on the financial database and account records of the hospitals. We estimated the total cost per hospitalization due to RSV using the health system perspective. The costs were estimated in US dollars as of December 2022 (1 US dollar = 170 Argentine pesos).

resultsThe mean costs per RSV hospitalization in infants was US$587.79 (95% confidence interval [CI] $535.24 - $640.33). The mean costs associated with pediatric intensive care unit (PICU) admission more than doubled from those at regular pediatric wards ($1,556.81 [95% CI $512.21 - $2,601.40] versus $556.53 [95% CI $514.59 - $598.48]).

conclusionsThis study shows the direct economic impact of acute severe RSV infection on the public health system in Argentina. The estimates obtained from this study could be used to inform cost-effectiveness analyses of new preventive RSV interventions being developed.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsRespiratory Tract InfectionsArgentinaChildCost of IllnessHospitalizationHumansInfantProspective StudiesAcute lower respiratory tract infectionCost of illnessDirect medical costRespiratory syncytial virus

Identifiers

PMID38336643
PMCPMC10858556
OpenAlexW4391722645

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.