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      Did the extended coverage policy contribute to alleviating socioeconomic inequality in untreated dental caries of both children and adolescents in South Korea?

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          Abstract

          Background

          Dental sealants have been covered by the National Health Insurance Service (NHIS) since December 2009 in South Korea. This study aims to determine whether the socioeconomic inequality in untreated dental caries decreased after implementing the extended coverage policy for dental sealant.

          Methods

          The data were derived from the fourth (2007–2009) and sixth (2013–2015) waves of the Korean National Health and Nutrition Examination Survey (KNHANES) conducted by the Korea Centers for Disease Control and Prevention (KCDC). Dental caries and sealant experience by income quartiles were tested using the Rao-Scott chi-squared test. In order to examine socioeconomic inequalities and their trends over time, the prevalence ratios (PRs), slope index of inequality (SII), and relative index of inequality (RII) were estimated for each wave and age group. All analyses were conducted using SAS version 9.3.

          Results

          The adjusted PRs of untreated dental caries and sealants in the poorest in the aged 6–11 group were significantly higher and lower, respectively, compared to the most affluent quartile group for the fourth wave; however, all significant differences disappeared for the sixth wave, after the sealant coverage. The gap between the lowest and the highest was similar for the aged 12–18 group but it widened in the untreated dental caries even after the sealant coverage. The statistical significance of the PRs was maintained at the sixth wave for both caries and sealants. Children showed decreases in both SII and RII over time so its significance disappeared. The SII among adolescents decreased over time but the RII of untreated dental caries increased.

          Conclusions

          This study found that the NHIS coverage expansion of dental care had a positive effect on overall status in dental health among children and adolescents. However, younger children benefited more in terms of inequalities. Our findings indicate that strategies to enhance access to preventive dental services should consider the differential effects for the vulnerable population in terms of socioeconomic status and age from the beginning stage of the policy.

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          Most cited references31

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          Water fluoridation for the prevention of dental caries.

          Dental caries is a major public health problem in most industrialised countries, affecting 60% to 90% of school children. Community water fluoridation was initiated in the USA in 1945 and is currently practised in about 25 countries around the world; health authorities consider it to be a key strategy for preventing dental caries. Given the continued interest in this topic from health professionals, policy makers and the public, it is important to update and maintain a systematic review that reflects contemporary evidence.
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            Implicit value judgments in the measurement of health inequalities.

            Quantitative estimates of the magnitude, direction, and rate of change of health inequalities play a crucial role in creating and assessing policies aimed at eliminating the disproportionate burden of disease in disadvantaged populations. It is generally assumed that the measurement of health inequalities is a value-neutral process, providing objective data that are then interpreted using normative judgments about whether a particular distribution of health is just, fair, or socially acceptable. We discuss five examples in which normative judgments play a role in the measurement process itself, through either the selection of one measurement strategy to the exclusion of others or the selection of the type, significance, or weight assigned to the variables being measured. Overall, we find that many commonly used measures of inequality are value laden and that the normative judgments implicit in these measures have important consequences for interpreting and responding to health inequalities. Because values implicit in the generation of health inequality measures may lead to radically different interpretations of the same underlying data, we urge researchers to explicitly consider and transparently discuss the normative judgments underlying their measures. We also urge policymakers and other consumers of health inequalities data to pay close attention to the measures on which they base their assessments of current and future health policies.
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              The inverse care law today.

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                Author and article information

                Contributors
                purplebom@gwnu.ac.kr
                feeljsh@gwnu.ac.kr
                mhkim@health.re.kr
                jaeinryu@khu.ac.kr
                Journal
                BMC Oral Health
                BMC Oral Health
                BMC Oral Health
                BioMed Central (London )
                1472-6831
                22 April 2020
                22 April 2020
                2020
                : 20
                : 124
                Affiliations
                [1 ]GRID grid.411733.3, ISNI 0000 0004 0532 811X, Department of Dental Hygiene, College of Dentistry, , Gangneung-Wonju National University, ; 120 Gangneungdaehag-ro, Gangneung City, Gangwon Province 25457 South Korea
                [2 ]GRID grid.411733.3, ISNI 0000 0004 0532 811X, Department of Preventive and Public Health Dentistry, College of Dentistry, , Gangneung-Wonju National University, ; 120 Gangneungdaehag-ro, Gangneung City, Gangwon Province 25457 South Korea
                [3 ]Center for Health Equity Research, People’s Health Institute, 36 Sadangro 13-gil, 2nd floor, Dongjak-gu, Seoul, 07004 South Korea
                [4 ]GRID grid.289247.2, ISNI 0000 0001 2171 7818, Department of Preventive and Social Dentistry, College of Dentistry, , Kyung Hee University, ; 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447 South Korea
                Article
                1112
                10.1186/s12903-020-01112-8
                7178997
                32321493
                0621abbc-0e2c-4d3a-8bd5-40f77ba49402
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 2 January 2020
                : 13 April 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Dentistry
                children and adolescent health,socioeconomic factors,inequality,service provision
                Dentistry
                children and adolescent health, socioeconomic factors, inequality, service provision

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