Evidence map›Paper›PMID 27189299›Full record

ArticleYonsei medical journal2016

Factors Contributing to Increases in Prescription Drug Expenditures Borne by National Health Insurance in South Korea.

Jeong Sook Jo, Young Man Kim, Kyung Won Paek, Min Hee Bea, Kihong Chun, Soojin Lee

Abstract read
In one paragraph

Article in Yonsei medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Observational
  3. Exploring polypharmacy with artificial intelligence: data analysis protocol.BMC medical informatics and decision making · 2021
    Article
  4. 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

6 authors.

Jeong Sook JoPharmaceutical Benefits Department I Director, Health Insurance Review & Assessment Service, Seoul, Korea.
Young Man KimDivision of TB Epidemic Investigation, Center for Disease Control & Prevention, Cheongju, Korea.
Kyung Won PaekDivision of Social Welfare, Baekseok University, Cheonan, Korea.
Min Hee BeaDepartment of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.
Kihong ChunDepartment of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea. ajoujkh@ajou.ac.kr.
Soojin LeeHealth Administration, Baekseok Arts University, Seoul, Korea. sjlee0820@bau.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRapid growth of prescription drug expenditures is a problem in South Korea. The objective of this study was to assess the contributions of four variables (therapeutic choice, drug-mix, original use, and price changes) to increases in drug expenditures paid by the National Health Insurance (NHI) in Korea. MATERIALS AND

methodsA retrospective cohort study was conducted between January 1, 2008 and June 30, 2012 utilizing data from the NHI Claims Database of the Health Insurance Review and Assessment Service. The number of target drug types for final analysis was 13959. To analyze the growth rates of drug expenditures, this study used Fisher ideal index and the Laspeyres and Paasche indexes.

resultsWith the exception of 2012, therapeutic choice contributed to about 40-60% of the increase in drug expenditures every year, while drug-mix contributed to another 30-40%.

conclusionThe rapid growth in prescription drug expenditure was found to be largely due to drug-mix and therapeutic choice over time. Original use had little impact on drug spending.

Indexed as

Cohort StudiesHealth ExpendituresHumansNational Health ProgramsPrescription DrugsRepublic of KoreaRetrospective StudiesPrescription DrugsExpendituresprescription drugsprice changes

Identifiers

PMID27189299
PMCPMC4951444

What OpenQuestion holds

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LicenceCC BY-NC
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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.