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A systematic review on current status of health technology reassessment: insights for South Korea

Overview of attention for article published in Health Research Policy and Systems, November 2016
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  • Average Attention Score compared to outputs of the same age and source

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Title
A systematic review on current status of health technology reassessment: insights for South Korea
Published in
Health Research Policy and Systems, November 2016
DOI 10.1186/s12961-016-0152-x
Pubmed ID
Authors

Hyun-Ju Seo, Ji Jeong Park, Seon Heui Lee

Abstract

To systematically investigate the current status and methodology of health technology reassessment (HTR) in various countries to draw insights for the healthcare system in South Korea. A systematic literature search was conducted on the articles published between January 2000 and February 2015 on Medline, EMBASE, the Cochrane Library, CINAHL, and PubMed. The titles and abstracts of retrieved records were screened and selected by two independent reviewers. Data related to HTR were extracted using a pre-standardised form. The review was conducted using narrative synthesis to understand and summarise the HTR process and policies. Forty five studies, conducted in seven countries, including the United Kingdom, Australia, Canada, Spain, Sweden, Denmark, and the United States of America, fulfilled the inclusion criteria. Informed by the literature review, and complemented by informant interviews, we focused on HTR activities in four jurisdictions: the United Kingdom, Canada, Australia, and Spain. There were similarities in the HTR processes, namely the use of existing health technology assessment agencies, reassessment candidate technology identification and priority setting, stakeholder involvement, support for reimbursement coverage, and implementation strategies. Considering the findings of the systematic review in the context of the domestic healthcare environment in Korea, an appropriate HTR model was developed. This model included four stages, those of identification, prioritisation, reassessment and decision. Disinvestment and reinvestment through the HTR was used to increase the efficiency and quality of care to help patients receive optimal treatment. Based on the lessons learnt from other countries' experiences, Korea should make efforts to establish an HTR process that optimises the National Healthcare Insurance system through revision of the existing Medical Service Act.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Master 8 10%
Student > Bachelor 6 8%
Student > Postgraduate 5 6%
Student > Doctoral Student 5 6%
Other 20 26%
Unknown 20 26%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Nursing and Health Professions 11 14%
Social Sciences 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Economics, Econometrics and Finance 3 4%
Other 15 19%
Unknown 21 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 January 2017.
All research outputs
#6,397,531
of 22,899,952 outputs
Outputs from Health Research Policy and Systems
#760
of 1,218 outputs
Outputs of similar age
#97,344
of 310,683 outputs
Outputs of similar age from Health Research Policy and Systems
#9
of 17 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.