Evidence map›Paper›PMID 28391545›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2018

Burden of suicide in Poland in 2012: how could it be measured and how big is it?

Katarzyna Orlewska, Ewa Orlewska

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Analysis of Suicide Methods and Substances Influencing the State of Consciousness of Their Victims in Poland.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
  7. Unemployment and suicide in Italy: evidence of a long-run association mitigated by public unemployment spending.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
  8. 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

2 authors.

Katarzyna OrlewskaMedical University of Warsaw, ul. Zwirki i Wigury 61, 02-091, Warsaw, Poland.
Ewa OrlewskaFaculty of Medicine and Health Sciences, The Jan Kochanowski University in Kielce, AL. IX Wiekow Kielc 19, 25-317, Kielce, Poland. eorl@ujk.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of our study was to estimate the health-related and economic burden of suicide in Poland in 2012 and to demonstrate the effects of using different assumptions on the disease burden estimation.

methodsYears of life lost (YLL) were calculated by multiplying the number of deaths by the remaining life expectancy. Local expected YLL (LEYLL) and standard expected YLL (SEYLL) were computed using Polish life expectancy tables and WHO standards, respectively. In the base case analysis LEYLL and SEYLL were computed with 3.5 and 0% discount rates, respectively, and no age-weighting. Premature mortality costs were calculated using a human capital approach, with discounting at 5%, and are reported in Polish zloty (PLN) (1 euro = 4.3 PLN). The impact of applying different assumptions on base-case estimates was tested in sensitivity analyses.

resultsThe total LEYLLs and SEYLLs due to suicide were 109,338 and 279,425, respectively, with 88% attributable to male deaths. The cost of male premature mortality (2,808,854,532 PLN) was substantially higher than for females (177,852,804 PLN). Discounting and age-weighting have a large effect on the base case estimates of LEYLLs. The greatest impact on the estimates of suicide-related premature mortality costs was due to the value of the discount rate.

conclusionsOur findings provide quantitative evidence on the burden of suicide. In our opinion each of the demonstrated methods brings something valuable to the evaluation of the impact of suicide on a given population, but LEYLLs and premature mortality costs estimated according to national guidelines have the potential to be useful for local public health policymakers.

Indexed as

Life ExpectancyMortality, PrematureSuicideAdultAgedCost of IllnessCosts and Cost AnalysisFemaleHumansMaleMiddle AgedPolandYoung AdultBurden of diseasePolandPremature mortality costsSuicideYears of expected life lost

Identifiers

PMID28391545
PMCPMC5978911

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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.