Evidence map›Paper›PMID 28699565›Full record

Trial reportBMC public health2017

Household costs of dengue illness: secondary outcomes from a randomised controlled trial of dengue prevention in Guerrero state, Mexico.

José Legorreta-Soberanis, Sergio Paredes-Solís, Arcadio Morales-Pérez, Elizabeth Nava-Aguilera, Felipe René Serrano-de Los Santos, Diana Lisseth Dimas-Garcia, Robert J Ledogar, Anne Cockcroft, Neil Andersson

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. 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

9 authors.

José Legorreta-SoberanisCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico. jlegorreta@ciet.org.
Sergio Paredes-SolísCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico.
Arcadio Morales-PérezCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico.
Elizabeth Nava-AguileraCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico.
Felipe René Serrano-de Los SantosCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico.
Diana Lisseth Dimas-GarciaCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico.
Robert J LedogarCIETinternational, New York, NY, USA.
Anne CockcroftDepartment of Family Medicine, McGill University, Montreal, Canada.
Neil AnderssonCentro de Investigación de Enfermedades Tropicales de la Universidad Autónoma de Guerrero, Acapulco, Guerrero, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue is a serious public health problem with an important economic impact. This study used data from a cluster randomised controlled trial of community mobilisation for dengue prevention to estimate the household costs of treatment of dengue illness. It examined the economic impact of the trial intervention in the three coastal regions of Mexico's Guerrero State.

methodsThe 2010 baseline survey covered households in a random sample of 90 clusters in the coastal regions; the clusters were randomly allocated to intervention or control and re-surveyed in 2012. The surveys asked about dengue cases in the last 12 months, expenditures on their treatment, and work or school days lost by patients and care givers. We did not assign monetary value to days lost, since a lost day to a person of low earning power is of equal or higher value to that person than to one who earns more.

resultsThe 12,312 households in 2010 reported 1020 dengue cases in the last 12 months (1.9% of the sample population). Most (78%) were ambulatory cases, with a mean cost of USD 51 and 10.8 work/school days, rising to USD 96 and 11.4 work/school days if treated by a private physician. Hospitalised cases cost USD 28-94 in government institutions and USD 392 in private hospitals (excluding additional inpatient charges), as well as 9.6-17.3 work/school days. Dengue cases cost households an estimated 412,825 work/school days throughout the three coastal regions. In the follow up survey, 6.1% (326/5349) of households in intervention clusters and 7.9% (405/5139) in control clusters reported at least one dengue case. The mean of days lost per case was similar in intervention and control clusters, but the number of days lost from dengue and all elements of costs for dengue cases per 1000 population were lower in intervention clusters. If the total population of the three coastal regions had received the intervention, some 149,401 work or school days lost per year could have been prevented.

conclusionThe economic effect of dengue on households, including lost work days, is substantial. The Camino Verde trial intervention reduced household costs for treatment of dengue cases.

trial registrationThe trial was registered as ISRCTN:27,581,154 .

Indexed as

Cost of IllnessEmploymentHealth ExpendituresIncomeAbsenteeismAmbulatory CareCaregiversCost-Benefit AnalysisDengueFamily CharacteristicsHospitalizationHumansIncidenceMexicoSchoolsSurveys and QuestionnairesCostsDengueRandomised controlled trial

Identifiers

PMID28699565
PMCPMC5506602

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.