| Literature DB >> 32727427 |
Abstract
BACKGROUND: In South Korea, dental sealant was included in the National Health Insurance Services (NHIS) coverage for the first molar for ages 6-14 in December 2009. The second molar was included in 2012, and the age of insurance coverage was extended to under 18 in 2013. This study aimed to verify the effectiveness of an NHIS dental sealant coverage policy for children and adolescents by comparing the changes in first molar oral health indicators before and after policy implementation.Entities:
Keywords: Dental sealant; Health insurance coverage; Oral health indicators
Year: 2020 PMID: 32727427 PMCID: PMC7392644 DOI: 10.1186/s12903-020-01201-8
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Characteristics of Subjects
| Classification | Non-beneficiaries (2007–2009 year) | Beneficiaries (2013–2015 year) | |||
|---|---|---|---|---|---|
| N | Wt(%)a | N | Wt(%)a | ||
| Gender | Male | 1574 | 51.9 | 1333 | 51.8 |
| Female | 1518 | 48.1 | 1258 | 48.2 | |
| Age | 11–15 years | 1902 | 53.9 | 1420 | 46.6 |
| 16–20 years | 1190 | 46.1 | 1171 | 53.4 | |
| Region | Urban | 2516 | 83.8 | 2201 | 85.2 |
| Rural | 576 | 16.2 | 390 | 14.8 | |
| Household income | I(lower) | 386 | 13.7 | 327 | 13.6 |
| II (Lower-middle) | 711 | 23.6 | 669 | 27.4 | |
| III (Middle-upper) | 956 | 31.8 | 817 | 30.9 | |
| IV (Upper) | 958 | 30.9 | 753 | 28.1 | |
| Father’s education level | Less than high school | 200 | 71.7 | 192 | 57.9 |
| More than college | 90 | 28.3 | 145 | 42.1 | |
| Mother’s education level | Less than high school | 245 | 87.1 | 227 | 67.1 |
| More than college | 44 | 12.9 | 115 | 32.9 | |
aWeighted value
The application of dental sealant reimbursement among Korean children and adolescents, and the differences in sealant treatment according to sociodemographic characteristics
| Classification | Sealant ratea (%) | Sealant indexb (Mean ± SEd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Non-beneficiaries | Beneficiaries | Non-beneficiaries | Beneficiaries | ||||||
| Total | 27.8 | 35.5 | ***c | 0.45 ± 0.05 | 0.83 ± 0.03 | ***c | |||
| Gender | Male | 26.7 | NS | 35.1 | NS | 0.62 ± 0.03 | NS | 0.87 ± 0.05 | NS |
| Female | 29.1 | 35.9 | 0.58 ± 0.04 | 0.78 ± 0.05 | |||||
| Age | 11–15 years | 34.9 | *** | 43.3 | *** | 0.82 ± 0.04 | *** | 1.13 ± 0.05 | *** |
| 16–20 years | 19.5 | 28.3 | 0.35 ± 0.03 | 0.55 ± 0.05 | |||||
| Region | Urban | 27.9 | NS | 35.5 | NS | 0.60 ± 0.03 | NS | 0.84 ± 0.04 | NS |
| Rural | 27.6 | 35.5 | 0.61 ± 0.08 | 0.76 ± 0.09 | |||||
| Household income | I(lower) | 17.6 | *** | 26.5 | *** | 0.35 ± 0.05 | *** | 0.60 ± 0.09 | * |
| II (Lower-middle) | 22.4 | 32.1 | 0.50 ± 0.06 | 0.78 ± 0.07 | |||||
| III (Middle-upper) | 27.7 | 36.3 | 0.57 ± 0.04 | 0.80 ± 0.06 | |||||
| IV (Upper) | 37.0 | 42.2 | 0.83 ± 0.05 | 1.00 ± 0.07 | |||||
| Father’s education level | Less than high school | 14.3 | NS | 18.8 | NS | 0.20 ± 0.05 | NS | 0.29 ± 0.06 | NS |
| More than college | 24.7 | 23.2 | 0.39 ± 0.10 | 0.48 ± 0.11 | |||||
| Mother’s education level | Less than high school | 18.2 | NS | 15.9 | * | 0.26 ± 0.05 | NS | 0.33 ± 0.06 | NS |
| More than college | 12.8 | 30.5 | 0.24 ± 0.13 | 0.53 ± 0.11 | |||||
aThe data were analyzed by Complex samples chi-square test
bThe data were analyzed by Complex samples general linear model
cThe difference between Non-beneficiaries and Beneficiaries (by Complex samples chi-square test and general linear model)
dStandard error
p < 0.001,p < 0.01,p < 0.05,NSp > 0.05
The application of dental sealant reimbursement among Korean children and adolescents, and the differences in decay-missing-filled permanent teeth retention according to sociodemographic characteristics
| Classification | DMF ratea (%) | DMFT indexb (Mean ± SEd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Non-beneficiaries | Beneficiaries | Non-beneficiaries | Beneficiaries | ||||||
| Total | 68.4 | 59.3 | *** c | 2.09 ± 0.10 | 1.57 ± 0.04 | *** c | |||
| Gender | Male | 62.2 | *** | 54.9 | *** | 1.74 ± 0.05 | *** | 1.38 ± 0.05 | *** |
| Female | 75.1 | 64.0 | 2.19 ± 0.05 | 1.77 ± 0.06 | |||||
| Age | 11–15 years | 60.3 | *** | 50.1 | *** | 1.64 ± 0.04 | *** | 1.26 ± 0.05 | *** |
| 16–20 years | 77.9 | 67.5 | 2.32 ± 0.05 | 1.84 ± 0.06 | |||||
| Region | Urban | 68.5 | NS | 59.6 | NS | 1.97 ± 0.04 | NS | 1.57 ± 0.05 | NS |
| Rural | 67.6 | 57.3 | 1.88 ± 0.08 | 1.53 ± 0.11 | |||||
| Household income | I(lower) | 68.4 | NS | 62.3 | NS | 2.03 ± 0.10 | NS | 1.70 ±0.12 | * |
| II (Lower-middle) | 69.7 | 60.3 | 2.01 ± 0.07 | 1.63 ±.0.09 | |||||
| III (Middle-upper) | 69.2 | 61.4 | 1.98 ± 0.07 | 1.63 ±0.07 | |||||
| IV (Upper) | 66.8 | 54.8 | 1.85 ± 0.06 | 1.38 ±0.07 | |||||
| Father’s education level | Less than high school | 81.9 | NS | 73.3 | NS | 2.47 ± 0.11 | NS | 1.95 ±0.12 | NS |
| More than college | 79.8 | 68.6 | 2.28 ± 0.17 | 1.93 ±0.15 | |||||
| Mother’s education level | Less than high school | 81.6 | NS | 72.0 | NS | 2.39 ± 0.10 | NS | 1.95 ±0.12 | NS |
| More than college | 83.4 | 71.3 | 2.70 ± 0.26 | 1.98 ±0.16 | |||||
aThe data were analyzed by Complex samples chi-square test
bThe data were analyzed by Complex samples general linear model
c The difference between Non-beneficiaries and Beneficiaries (by Complex samples chi-square test and general linear model)
dStandard error
p < 0.001,p < 0.01,p < 0.05,NSp > 0.05
The application of dental sealant reimbursement among Korean children and adolescents, and the differences in Single-crown permanent teeth retention according to sociodemographic characteristics
| Classification | Crown ratea (%) | Crown indexb (Mean ± SEd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Non-beneficiaries | Beneficiaries | Non-beneficiaries | Beneficiaries | ||||||
| Total | 8.7 | 6.0 | NS c | 0.11 ± 0.02 | 0.08 ± 0.00 | NS c | |||
| Gender | Male | 7.5 | NS | 5.7 | NS | 0.10 ± 0.01 | * | 0.07 ± 0.01 | NS |
| Female | 9.9 | 6.3 | 0.14 ± 0.01 | 0.09 ± 0.01 | |||||
| Age Group | 11–15 years | 4.5 | *** | 3.2 | *** | 0.06 ± 0.00 | *** | 0.04 ± 0.00 | *** |
| 16–20 years | 13.6 | 8.5 | 0.19 ± 0.01 | 0.12 ± 0.01 | |||||
| Region | Urban | 9.0 | NS | 5.8 | NS | 0.12 ± 0.01 | NS | 0.08 ± 0.01 | NS |
| Rural | 7.1 | 7.0 | 0.10 ± 0.02 | 0.10 ± 0.02 | |||||
| Household income | I(lower) | 7.0 | NS | 6.4 | NS | 0.11 ± 0.02 | NS | 0.08 ± 0.02 | * |
| II (Lower-middle) | 11.1 | 6.7 | 0.17 ± 0.02 | 0.10 ± 0.02 | |||||
| III (Middle-upper) | 8.2 | 6.5 | 0.10 ± 0.01 | 0.09 ± 0.01 | |||||
| IV (Upper) | 8.5 | 4.9 | 0.11 ± 0.01 | 0.05 ± 0.01 | |||||
| Father’s education level | Less than high school | 11.5 | NS | 11.8 | NS | 0.18 ± 0.04 | NS | 0.17 ± 0.04 | NS |
| More than college | 15.0 | 16.7 | 0.18 ± 0.57 | 0.21 ± 0.05 | |||||
| Mother’s education level | Less than high school | 12.4 | NS | 14.6 | NS | 0.20 ± 0.03 | NS | 0.21 ± 0.04 | NS |
| More than college | 9.3 | 16.6 | 0.09 ± 0.06 | 0.21 ± 0.05 | |||||
aThe data were analyzed by Complex samples chi-square test
bThe data were analyzed by Complex samples general linear model
c The difference between Non-beneficiaries and Beneficiaries (by Complex samples chi-square test and general linear model)
dStandard error
p < 0.001,p < 0.01,p < 0.05,NSp > 0.05
Odds ratios of sealant rate among the groups categorized by household income and mother’s education level (95% CI)
| Classification | Non-beneficiaries | Beneficiaries | ||
|---|---|---|---|---|
| Model 1 a | Model 2 b | Model 1 a | Model 2 b | |
| Household income | ||||
| I(lower) | 0.379 (0.264–0.544) | 0. 982 (0.318–3.029) | 0.552 (0.373–0.818) | 0.845 (0.287–2.487) |
| II (Lower-middle) | 0.493 (0.364–0.666) | 0.604 (0.230–1.582) | 0.671 (0.503–0.896) | 0.729 (0.324–1.640) |
| III (Middle-upper) | 0.648 (0.495–0.847) | 0.913 (0.379–2.199) | 0.751 (0.570–0.991) | 0.626 (0.274–1.427) |
| IV (Upper) | Ref. | Ref. | Ref. | Ref. |
| Mother’s education level | ||||
| Less than high school | 1.579 (0.583–4.275) | 3.115 (1.060–9.150) | 0.439 (0.226–0.851) | 0.393 (0.177–0.871) |
| More than college | Ref. | Ref. | Ref. | Ref. |
The data were analyzed by Complex Samples Logistic Regression
aAdjusted for age
bAdjusted for gender, age, region, father’s education level, mother’s education level, household income
p < 0.001,p < 0.01,p < 0.05,NSp > 0.05