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Copayment Exemption Policy and Healthcare Utilization after the Great East Japan Earthquake

Overview of attention for article published in Tohoku Journal of Experimental Medicine, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Copayment Exemption Policy and Healthcare Utilization after the Great East Japan Earthquake
Published in
Tohoku Journal of Experimental Medicine, January 2018
DOI 10.1620/tjem.244.163
Pubmed ID
Authors

Yusuke Matsuyama, Toru Tsuboya, Shun-Ichiro Bessho, Jun Aida, Ken Osaka

Abstract

Healthcare utilization after natural disasters remains understudied. In general, people in Japan pay 10%-30% of total amount of costs, according to their health insurance plan. A policy exempting survivors from copayments was introduced after the Great East Japan Earthquake in March 2011, which had a magnitude of 9.0 on the Richter scale and followed by devastating tsunamis. Among the disaster-affected areas, Miyagi prefecture experienced the largest number of deaths and the greatest extent of damage. However, the exemption was suspended in Miyagi prefecture from April, 2013, because of the huge governmental financial burden due to the immensity of damage from the disaster. Subsequently, in April 2014, the exemption was re-introduced, with smaller coverage. We, therefore, evaluated the influence of this policy change on monthly healthcare utilization in Miyagi prefecture between April 2008 and June 2015. We also evaluated the association between the proportion of people exempted from copayment in each municipality and the difference in healthcare utilization before and after the suspension using multivariable linear regression. Healthcare utilization in Miyagi increased immediately after the institution of the exemption policy and it peaked after one year. In March 2013, just before the suspension, a rapid increment in healthcare utilization was observed, suggesting that the copayment may be a barrier for people in the disaster-affected area to access to healthcare. The exemption policy did help the survivors to use healthcare utilization in Miyagi. After devastating natural disasters, policymakers should guarantee that all survivors can utilize healthcare services on demand.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 10%
Student > Ph. D. Student 3 10%
Professor > Associate Professor 3 10%
Student > Master 3 10%
Researcher 2 6%
Other 6 19%
Unknown 11 35%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Economics, Econometrics and Finance 4 13%
Nursing and Health Professions 2 6%
Psychology 2 6%
Computer Science 1 3%
Other 3 10%
Unknown 14 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 November 2021.
All research outputs
#8,572,011
of 25,461,852 outputs
Outputs from Tohoku Journal of Experimental Medicine
#260
of 1,104 outputs
Outputs of similar age
#160,434
of 450,092 outputs
Outputs of similar age from Tohoku Journal of Experimental Medicine
#10
of 36 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 44th percentile – i.e., 44% 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 450,092 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 52% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.