Dataset Information

Did the Expansion of Insurance Coverage for Oral Health Reduce Self-reported Oral Health Inequalities in Korea? Results of Repeated Cross-Sectional Analysis, 2007-2015.

ABSTRACT: BACKGROUND:In 2009, the South Korean government expanded universal health insurance to include oral health services. In the present study, we sought to examine whether improved access resulted in a reduction in income-based self-reported oral health inequalities. METHODS:We analyzed repeated cross-sectional data from the Korea National Health and Nutrition Examination Survey (KNHANES) waves IV through VI (2007-2015). We analyzed self-reported oral health status among 68,431subjects. Changes in oral health inequalities across four income levels (low, middle-low, middle-high, and high) were assessed with the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). RESULTS:The average oral health status of children and adolescents improved the most over the observation period. The absolute magnitude of oral health inequalities (measured by the SII) improved for most groups, with the notable exception of young male adults. By contrast, the ratio of poor oral health between high- and low-income groups (measured by the RII) changed little over time, indicating that relative inequalities remained resistant to change. CONCLUSIONS:The expansion of dental health insurance may not be sufficient to move the needle on self-reported oral health inequalities among adults.

SUBMITTER: Kim NH

PROVIDER: S-EPMC7661332 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Did the Expansion of Insurance Coverage for Oral Health Reduce Self-reported Oral Health Inequalities in Korea? Results of Repeated Cross-Sectional Analysis, 2007-2015.

Kim Nam-Hee NH Kawachi Ichiro I

Journal of epidemiology 20191207 12

<h4>Background</h4>In 2009, the South Korean government expanded universal health insurance to include oral health services. In the present study, we sought to examine whether improved access resulted in a reduction in income-based self-reported oral health inequalities.<h4>Methods</h4>We analyzed repeated cross-sectional data from the Korea National Health and Nutrition Examination Survey (KNHANES) waves IV through VI (2007-2015). We analyzed self-reported oral health status among 68,431 subjec ...[more]

PMID: 31813892

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Project description:ImportanceAlthough nearly 1 in 5 persons in the United States has a physical or mental disability, little is known about the association of the Patient Protection and Affordable Care Act (ACA) with health insurance coverage among persons with a disability.ObjectiveTo determine the association of Medicaid expansion with health insurance coverage among persons with a disability.Design, setting, and participantsCross-sectional analysis of adults eligible for Medicaid expansion (aged 26-64 years with incomes up to 138% of the federal poverty level), using a triple-differences (difference-in-difference-in-difference) approach to compare the pre-ACA with post-ACA trend in health insurance rates by disability status between expansion and nonexpansion states using nationally representative, repeated cross-sectional sample data obtained from the American Community Survey in the United States from January 1, 2010, to December 31, 2016. Time was defined as either pre-ACA (January 1, 2010, to December 31, 2013) or post-ACA (January 1, 2014, to December 31, 2016). Treatment status was defined as whether a state implemented Medicaid expansion after January 1, 2014. States that expanded Medicaid between January 1, 2014, to December 31, 2016, were classified as the treatment group, and states that did not expand Medicaid during the study period were classified as the control group. Data were analyzed from December 12, 2018, to May 21, 2019.Main outcomes and measuresSelf-reported health insurance coverage (uninsured, Medicaid, private) and self-reported disability status (≥1 condition limiting activity, including cognitive, ambulatory, self-care, independent living, and sensory difficulties).ResultsOf 2 549 376 Medicaid-eligible adults, 1 348 620 (52.9%) were female; 1 218 602 (47.8%) were non-Hispanic white, 497 128 (19.5%) were non-Hispanic black, 211 598 (8.3%) were Hispanic, and 206 499 (8.1%) were of other race/ethnicity; and 619 498 (24.3%) reported at least 1 disability. The percentage of persons without health insurance was greatest for persons without a disability who lived in a nonexpansion state before the ACA's Medicaid expansion provision went into effect (236 645 of 426 387 [55.5%]), and the smallest proportion of persons without health insurance was reported for persons with a disability living in an expansion state after the ACA went into effect (19 552 of 176 145 [11.1%]). Triple-differences analysis suggested that Medicaid expansion was associated with a decrease in the uninsured rate for both persons with a disability (7.1% - 16.2% = -9.1%) and without a disability (21.2% - 34.9% = -13.7%) and that Medicaid expansion was associated with a 4.6% decrease in the uninsurance rate for persons without a disability and a 2.6% decrease in persons with a disability (P < .001). Although Medicaid expansion was associated with an increase in Medicaid coverage for both persons with a disability (49.3% pre-ACA to 62.3% post-ACA; change, 13.0%) and persons without a disability (21.6% pre-ACA to 40.3% post-ACA; change, 17.7%), the triple difference-estimated Medicaid coverage was -4.7% for persons with a disability and 0.4% for persons without a disability, a difference of 5.1% (P < .001). Medicaid expansion was associated with a 3% higher private insurance rate for persons with a disability than for persons without a disability.Conclusions and relevanceMedicaid expansion appeared to be associated with lower uninsurance rates and higher Medicaid and private insurance coverage for persons with a disability. This study's findings suggest that the reduction in the uninsured rate and gains in Medicaid coverage were greater for persons without a disability than for persons with a disability.

Project description:BackgroundPrevalence of thyroid cancer has been increasing rapidly worldwide, especially among women. There has been a debate as to whether such an increase represents consequences of over-diagnosis or a true increase. To find the occupational risk of Korean female workers in different industry sectors, we analyzed the data of Korean female workers.MethodsNational Female Worker Cohort data that contain information on total female workers were used for our analysis of prevalence of thyroid cancer (C73 according to KCD-5, 6 code) derived from National Health Insurance data. By combining industrial codes from National Health Insurance Service and those from Korea Workers' Compensation and Welfare Service, the classification of industrial codes became to consist of the total of thirty three representing both non-office (NO) and office (O) categories. Both an internal comparison among female workers within the cohort and an external comparison to compare female workers with Korean general female population were carried out.ResultsAmong 149,258 female workers, 2,641 cases of thyroid cancers were identified. Differences in prevalence of thyroid cancer between female workers (40.5%) and general Korean female population (32.6%) were observed; however, the differences in prevalence of thyroid cancer between NO workers and O workers were not apparent. An analysis involving workers in Financial and insurance activities sector revealed that, standardized prevalence rate (SPR) of both NO (2.96, 95% CI = 2.01-4.20) and O workers (3.68, 95% CI = 3.10-4.33) increased significantly and that an AOR (adjusted odds ratio) increased marginally (1.38, 95% CI = 0.97-1.96). Further, when stratified in respect to the duration of employment, an AOR of female workers having been employed for more than 8 years showed a significant increase (1.63, 95% CI = 1.07-2.49).ConclusionsFemale workers had a higher risk of thyroid cancer than general female population but the difference between NO workers and O workers was not found to be significant in most industrial sectors. Further studies using data with information regarding specific occupational exposures are needed.

Project description:ObjectiveTo improve understanding of the relationship between lack of insurance and risk of subsequent mortality.Data sourcesAdults who reported being uninsured or privately insured in the National Health Interview Survey from 1986 to 2000 were followed prospectively for mortality from initial interview through 2002. Baseline information was obtained on 672,526 respondents, age 18-64 at the time of the interview. Follow-up information on vital status was obtained for 643,001 (96 percent) of these respondents, with approximately 5.4 million person-years of follow-up.Study designRelationships between insurance status and subsequent mortality are examined using Cox proportional hazard survival analysis.Principal findingsAdjusted for demographic, health status, and health behavior characteristics, the risk of subsequent mortality is no different for uninsured respondents than for those covered by employer-sponsored group insurance at baseline (hazard ratio 1.03, 95 percent confidence interval [CI], 0.95-1.12). Omitting health status as a control variable increases the estimated hazard ratio to 1.10 (95 percent CI, 1.03-1.19). Also omitting smoking status and body mass index increases the hazard ratio to 1.20 (95 percent CI, 1.15-1.24). The estimated association between lack of insurance and mortality is not larger among disadvantaged subgroups; when the analysis is restricted to amenable causes of death; when the follow-up period is shortened (to increase the likelihood of comparing the continuously insured and continuously uninsured); and does not change after people turn 65 and gain Medicare coverage.ConclusionsThe Institute of Medicine's estimate that lack of insurance leads to 18,000 excess deaths each year is almost certainly incorrect. It is not possible to draw firm causal inferences from the results of observational analyses, but there is little evidence to suggest that extending insurance coverage to all adults would have a large effect on the number of deaths in the United States.

Dataset Information

Did the Expansion of Insurance Coverage for Oral Health Reduce Self-reported Oral Health Inequalities in Korea? Results of Repeated Cross-Sectional Analysis, 2007-2015.

Publications

Did the Expansion of Insurance Coverage for Oral Health Reduce Self-reported Oral Health Inequalities in Korea? Results of Repeated Cross-Sectional Analysis, 2007-2015.

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