20 research outputs found

    Regional difference of health care utilization in Korea

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋ณด๊ฑด๋Œ€ํ•™์›๋ณด๊ฑดํ•™๊ณผ ๋ณด๊ฑด์ •์ฑ…ํ•™์ „๊ณต1998Docto

    The Effect of the Policy of Expanding Coverage for Four Major Diseases: Focused on Out-of-Pocket Payment

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    ๊ฐ€๊ณ„๊ฒฝ์ œ์— ํฐ ๋ถ€๋‹ด์œผ๋กœ ์ž‘์šฉํ•˜๋Š” 4๋Œ€ ์ค‘์ฆ์งˆํ™˜(์•”, ์‹ฌ์žฅ์งˆํ™˜, ๋‡Œํ˜ˆ๊ด€์งˆํ™˜, ํฌ๊ท€๋‚œ์น˜์งˆํ™˜)์˜ ๊ณ ์•ก ์˜๋ฃŒ๋น„๋ฅผ ๊ฒฝ๊ฐ์‹œํ‚ค๊ธฐ ์œ„ํ•ด, 2013๋…„์—์„œ 2016๋…„์— ๊ฑธ์ณ 4๋Œ€ ์ค‘์ฆ์งˆํ™˜ ๋ณด์žฅ ๊ฐ•ํ™” ์ •์ฑ…์ด ์‹œํ–‰๋˜์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2013๋…„ 4๋Œ€ ์ค‘์ฆ์งˆํ™˜ ๋ณด์žฅ ๊ฐ•ํ™” ์ •์ฑ… ์‹œํ–‰ ์ „๏ฝฅํ›„์— ๋‚˜ํƒ€๋‚œ 4๋Œ€ ์ค‘์ฆ์งˆํ™˜์˜ ์˜๋ฃŒ๋น„ ๋ณ€ํ™”๋ฅผ ํ™•์ธํ•จ์œผ๋กœ์จ, 2013๋…„์— ์‹œํ–‰๋œ 4๋Œ€ ์ค‘์ฆ์งˆํ™˜ ๋ณด์žฅ ๊ฐ•ํ™” ์ •์ฑ… ํšจ๊ณผ์˜ ํ‰๊ฐ€๋ฅผ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. ํ•œ๊ตญ์˜๋ฃŒํŒจ๋„ 7์ฐจ ๋…„๋„(์กฐ์‚ฌ๊ธฐ๊ฐ„ 2012๋…„ 2~7์›”)์™€ 9์ฐจ ๋…„๋„(์กฐ์‚ฌ๊ธฐ๊ฐ„ 2014๋…„ 3~9์›”) ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ, ์„ฑํ–ฅ์ ์ˆ˜๋งค์นญ(propensity score matching)์„ ๊ฒฐํ•ฉํ•œ ์ด์ค‘์ฐจ์ด๋ถ„์„(Difference in Difference)์œผ๋กœ ์ •์ฑ…ํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์„ฑํ–ฅ์ ์ˆ˜๋งค์นญ ํ›„ ๋‹ค์ค‘์ด์ค‘์ฐจ์ด๋ถ„์„ ๊ฒฐ๊ณผ, ‘๋น„๊ธ‰์—ฌ’, ‘์ฒ˜๋ฐฉ์•ฝ๊ฐ’’, ‘๋ฒ•์ •๋ณธ์ธ๋ถ€๋‹ด๊ธˆ’, ‘๋ณธ์ธ๋ถ€๋‹ด๊ธˆ(๋ฒ•์ •๋ณธ์ธ๋ถ€๋‹ด๊ธˆ+๋น„๊ธ‰์—ฌ+์ฒ˜๋ฐฉ์•ฝ๊ฐ’)’, ‘๊ฑด๊ฐ•๋ณดํ—˜๊ณต๋‹จ๋ถ€๋‹ด๊ธˆ’, ‘์ด์ง„๋ฃŒ๋น„(๊ฑด๊ฐ•๋ณดํ—˜๊ณต๋‹จ๋ถ€๋‹ด๊ธˆ+๋ณธ์ธ๋ถ€๋‹ด๊ธˆ)’๋Š” ์ผ๋ถ€์—์„œ ๊ฐ์†Œํ•˜์˜€์œผ๋‚˜ ์œ ์˜๋ฏธํ•œ ์ˆ˜์ค€์˜ ๊ฐ์†Œ๋Š” ์•„๋‹ˆ์—ˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค(p>0.05). 4๋Œ€ ์ค‘์ฆ์งˆํ™˜์ž์˜ ๊ณ ์•ก ์˜๋ฃŒ๋น„๋กœ ์ธํ•œ ๊ฒฝ์ œ์  ๋ถ€๋‹ด์„ ๋œ์–ด์ฃผ๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋ณด๋‹ค ์ ๊ทน์ ์ธ ๋ณด์žฅ์„ฑ ๊ฐ•ํ™” ์ •์ฑ…์„ ์ถ”์ง„ํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.In South Korea, cancers, cardiac diseases, cerebrovascular diseases and rare intractable diseases cause huge financial burden on households. To help lower their medical cost, the government implemented the policy of expanding insurance coverage for the four major diseases from 2013 to 2016. This study identifies changes in household expenditure on the four major diseases after the implementation of the coverage expansion policy in 2013. By doing so, the study seeks to evaluate the effectiveness of the policy. The study used the 7thโŽผyear and 9thโŽผyear data from the Korean Health Panel (KHP) (surveyed from February to July, 2012 and from March to September, 2014, respectively). The effectiveness of the policy was assessed based on the difference in difference method with propensity score matching. As a result of multiple difference in difference after the propensity score matching, it was confirmed that although ‘non-payment items’, ‘prescription drug expense’, ‘statutory payment by patient’, ‘out-of-pocket payment (statutory payment by patient+non-payment items+prescription drug expense)’, ‘national health insurance payment’, and ‘total treatment expense (national health insurance payment + out-of-pocket payment)’ decreased in some parts, this decrease was not at the significant level (p>0.05). In order to ease the large financial burden of medical cost spent on the four major diseases, it will be necessary to pursue a stronger policy to reinforce the coverage of relevant insurances
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