Evidence map›Paper›PMID 34169486›Full record

ArticleApplied health economics and health policy2021

The Health and Productivity Burden of Depression in South Korea.

Ella Zomer, YongJoo Rhee, Danny Liew, Zanfina Ademi

Abstract read
PubMed Publisher
In one paragraph

Article in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Deep Learning Driven Simulation Analysis of the Emotional Profiles of Depression Based on Facial Expression Dynamics.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

4 authors at 2 institutions in 3 countries.

Ella ZomerSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-9993-4297
YongJoo RheeDepartment of Health Sciences, College of Natural Science, Dongduk Women's University, Yeji #406, Hwarang-ro 13-gil, Seongbuk-gu, Seoul, 02748, South Korea. yrh759@dongduk.ac.kr.ORCID 0000-0002-9915-1188
Danny LiewSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-0131-623X
Zanfina AdemiSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-0625-3522
Monash University · AUDongduk Women's University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMajor depression in South Korea, which remains under-diagnosed and under-treated, increases the risk of premature death, and reduces quality of life and work productivity. The aim of this study was to quantify the depression-related health and productivity loss in South Korea in terms of life-years lost and productivity-adjusted life-years (PALYs) lost.

methodAge and sex-specific life table models simulated follow-up of South Koreans with depression aged 15 to 54 years, until 55 years. Depression was defined as major depression. Inputs were drawn from national datasets and published sources. Models were constructed for the cohort with depression and repeated assuming they had no depression. Differences in total deaths, years of life, and PALYs represented the impact of depression. PALYs were ascribed a financial value equivalent to total gross domestic product (GDP) divided by the number of equivalent full-time workers (KRW81,507,146 or USD74,748). All outcomes were discounted by 3% per annum.

resultsIn 2019, there were more than 500,000 people aged 15-54 years with major depression in South Korea. We predicted that until this cohort reached age 55 years, and assuming 22.2% of people with depression are treated, depression led to 12,000 excess deaths, more than 55,000 discounted years of life lost and 1.6 million discounted PALYs lost, equating to KRW133 trillion (USD122 billion) in lost GDP. Applying treatment-related response and remission rates of 11.8% and 42.1%, respectively, and a non-response/non-remission rate of 46.1%, increased the total number of PALYs lost by almost 6.0%.

conclusionsOur study highlights the considerable productivity loss attributable to depression among South Koreans over their working lifetime. Better prevention and treatment of depression is needed for long-term economic gains.

Indexed as

DepressionQuality of LifeCost of IllnessEfficiencyFemaleHumansMaleMiddle AgedRepublic of Korea

Identifiers

PMID34169486
OpenAlexW3174878543

What OpenQuestion holds

Textmetadata
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.