Evidence map›Paper›PMID 30356251›Full record

ArticlePloS one2018

Role of economic evidence in coverage decision-making in South Korea.

Eun-Young Bae, Hui Jeong Kim, Hye-Jae Lee, Junho Jang, Seung Min Lee, Yunkyung Jung, Nari Yoon, Tae Kyung Kim, Kookhee Kim, Bong-Min Yang

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Eun-Young BaeSchool of Pharmacy, Gyeongsang National University, Jinju, Korea.ORCID 0000-0001-8304-5578
Hui Jeong KimPharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.ORCID 0000-0003-0303-6212
Hye-Jae LeeHealth Insurance Policy Research Institute, National Health Insurance Service, Wonju, Korea.
Junho JangPharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Seung Min LeePharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Yunkyung JungPharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Nari YoonPharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Tae Kyung KimPharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Kookhee KimPharmaceutical Benefit Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Bong-Min YangGraduate School of Public Health, Seoul National University, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe South Korean government required the submission of economic evidence when it implemented the Positive-List System in December 2006. This study investigates the key factors that influenced actual public insurance reimbursement decisions, including the role of economic evidence, after 10 years of decision practice under compulsory health technology assessment (HTA) for new drugs.

methodLogistic regression analysis was used to estimate the impact of the variables involved, including cost-effectiveness ratio as a key variable, on reimbursement decisions. The latter were defined as "yes" or "no" at a submitted price and indication. Only cases (n = 91) that present a cost-effectiveness ratio, and that have been reviewed based on this ratio from January 2007 to December 2016, were included in the analysis.

resultsCases with higher cost-effectiveness ratios were less likely to be accepted. In addition, drugs that were used to treat severe diseases and drugs with no substitute were more likely to be recommended. The probability of acceptance declined along with the level of uncertainty in the submitted evidence. The acceptance rate for severe-disease drugs has increased since 2013, when the government introduced several policies that lowered the existing barriers to positive reimbursement. However, such an increase was not statistically significant.

conclusionsCost-effectiveness is one of the most influential factors in drug-reimbursement decisions. However, inclusion of other explanatory variables, in addition to the cost-effectiveness ratio, predicted the results of decisions more accurately.

Indexed as

Decision MakingAlgorithmsCost-Benefit AnalysisDrug CostsDrug TherapyHealth PolicyHumansInsurance, Health, ReimbursementModels, EconomicNational Health ProgramsRepublic of Korea

Identifiers

PMID30356251
PMCPMC6200251

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.