Evidence map›Paper›PMID 30923489›Full record

ArticleJournal of Korean medical science2019

Measuring the Economic Burden of Disease and Injury in Korea, 2015.

Ye-Rin Lee, Bogeum Cho, Min-Woo Jo, Minsu Ock, Donghoon Lee, Doungkyu Lee, Moon Jung Kim, In-Hwan Oh

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Measuring Trends in the Socioeconomic Burden of Disease in Korea, 2007-2015.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Ye-Rin LeeDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-4507-4877
Bogeum ChoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4342-3436
Min-Woo JoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4574-1318
Minsu OckDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.ORCID https://orcid.org/0000-0001-9949-9224
Donghoon LeeDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-8590-4089
Doungkyu LeeDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-6731-3349
Moon Jung KimDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-6817-1928
In-Hwan OhDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-5450-9887
Kyung Hee University · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease burden can be represented by health-related parameters such as disability-adjusted life years and economic burden. Economic burden is an important index, as it estimates the maximum possible cost reduction if a disease is prevented. This study aimed to determine the economic burden of 238 diseases and 22 injuries in Korea in 2015.

methodsEconomic burden was estimated with a human resources approach from a social perspective, and direct and indirect costs were calculated from insurance claims data and a cause of death database. Direct costs were divided into medical costs (including hospital admission, outpatient visit, and medication use) and nonmedical costs (including transportation and caregiver costs). Indirect costs from lost productivity, either from the use of healthcare service or premature death, were analyzed.

resultsIn 2015, the estimated economic burden was USD 133.7 billion (direct: USD 65.5 billion, indirect: USD 68.2 billion). The total cost of communicable diseases was USD 16.0 billion (11.9%); non-communicable diseases, USD 92.3 billion (69.1%); and injuries, USD 25.4 billion (19.0%). Self-harm had the highest costs (USD 8.3 billion), followed by low back pain (LBP, USD 6.6 billion). For men, self-harm had the highest cost (USD 7.1 billion), while LBP was the leading cost (USD 3.7 billion) for women.

conclusionA high percentage of Korea's total socioeconomic disease burden is due to chronic diseases; however, unnoticed conditions such as infectious diseases, injuries, and LBP are high in certain age groups and differ by gender, emphasizing the need for targeted social interventions to manage and prevent disease risk factors.

Indexed as

Cost of IllnessAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolFemaleGlobal Burden of DiseaseHumansInfantInfant, NewbornMaleMiddle AgedRepublic of KoreaCause of DeathEconomic Burden of DiseaseQuality of LifeRepublic of Korea

Identifiers

PMID30923489
PMCPMC6434156
OpenAlexW2921376859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.