Evidence map›Paper›PMID 31336776›Full record

SynthesisInternational journal of environmental research and public health2019

Evaluation of the Biases in the Studies that Assess the Effects of the Great Recession on Health. A Systematic Review.

Marc Saez, Maria Antònia Barceló, Carme Saurina, Andrés Cabrera, Antonio Daponte

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Marc SaezResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain. marc.saez@udg.edu.ORCID 0000-0003-1882-0157
Maria Antònia BarcelóResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain.
Carme SaurinaResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain.
Andrés CabreraNetwork Biomedical Research Center of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
Antonio DaponteNetwork Biomedical Research Center of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur main objective was to evaluate the fundamental biases detected in studies assessing the effects the Great Recession had on health for the case of Spain. As secondary objectives we presented methods to control these biases and to discuss the results of the studies in question if they had controlled for them.

methodsWe carried out a systematic review of the literature published up to June 2018. We evaluated the biases that could have happened in all the eligible studies.

resultsFrom the review, we finally selected 53 studies. Of the studies we reviewed, 60.38% or 32 out of 53, were evaluated as having a high risk of bias. The main biases our review revealed were problems with evaluation, time bias, lack of control of unobserved confounding, and non-exogeneity when defining the onset of the Great Recession.

conclusionsThe results from the studies that controlled the biases were quite consistent. Summing up, the studies reviewed found that the Great Recession increased the risk of declaring poor self-rated health and the deterioration of mental health. Both the mortality rate and the suicide rate may well have increased after the Great Recession, probably after a three- to four-year delay.

Indexed as

BiasResearch DesignEconomic RecessionHumansMental HealthSpainbiasevaluation problemgreat recessionhealthtime bias

Identifiers

PMID31336776
PMCPMC6678595

What OpenQuestion holds

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Registered trials

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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.