| Literature DB >> 32899291 |
Abstract
In South Korea, the National Health Insurance Service (NHIS) began its coverage of dentures and dental implants for older people in 2012 and 2014, respectively. This study aimed to investigate the impact of these policies on dental care utilization among people aged 65 years or older according to their sociodemographic characteristics. Data were collected from the Korea Health Panel Survey (KHP; years 2012 and 2015). The statistical significance of the relationships between sociodemographic characteristics and the use of outpatient dental care, denture, and dental implant were analyzed. Results showed an increase of 5.7%, 1.4%, and 2.8% in the use of outpatient dental care, denture, and dental implant, respectively, over the course of three years. Including dentures increased its use by 2.5-3.7 times among people aged 70 years or older. Including dental implants alleviated the disparities among older adults based on age groups and duration of education, except those among uneducated people; however, it caused inequity according to household income. Some Korean older adults remain neglected from the benefits of the expanded NHIS. Therefore, older adults' access to dental care should be enhanced by the implementation of policies to promote oral health care utilization, dental prosthetic services, and older adults' insurance coverage.Entities:
Keywords: dental care utilization; dental implant; denture; insurance coverage; older adults
Mesh:
Substances:
Year: 2020 PMID: 32899291 PMCID: PMC7504266 DOI: 10.3390/ijerph17176417
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Changes in the annual dental care utilization according to sociodemographic characteristics after expanded coverage of dental prostheses for older adults.
| Classification | N | Dental Care Utilization | Denture Use | Dental Implant Use | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012 Year | 2015 Year | 2012 Year | 2015 Year | 2012 Year | 2015 Year | 2012 Year | 2015 Year | |||||||||||||
| N | (Weighted%) | N | (Weighted%) | N | (Weighted%) | N | (Weighted%) | N | (Weighted%) | N | (Weighted%) | |||||||||
|
| 2983 | 4044 | 736 | (24.7) | 1209 | (30.4) | 112 | (3.5) | 204 | (4.9) | 65 | (2.3) | 197 | (5.1) | ||||||
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| Male | 1290 | 1720 | 329 | (25.5) | NS | 559 | (33.1) | ** | 48 | (3.6) | NS | 81 | (4.5) | NS | 28 | (2.4) | NS | 103 | (6.4) | ** |
| Female | 1693 | 2324 | 407 | (24.1) | 650 | (28.5) | 64 | (3.5) | 123 | (5.2) | 37 | (2.2) | 94 | (4.2) | ||||||
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| 65–69 years | 909 | 1367 | 271 | (29.1) | *** | 444 | (33.4) | *** | 36 | (3.7) | NS | 30 | (2.1) | *** | 35 | (3.8) | *** | 94 | (7.1) | *** |
| 70–74 years | 990 | 962 | 251 | (25.7) | 336 | (35.5) | 31 | (3.1) | 55 | (5.4) | 21 | (2.3) | 48 | (5.1) | ||||||
| 75–79 years | 650 | 928 | 156 | (24.6) | 264 | (28.7) | 30 | (4.4) | 74 | (7.9) | 8 | (1.4) | 37 | (4.2) | ||||||
| ≥80 years | 434 | 787 | 58 | (13.0) | 165 | (21.6) | 15 | (3.1) | 45 | (6.2) | 1 | (0.2) | 18 | (2.8) | ||||||
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| Married | 2024 | 2697 | 520 | (25.7) | NS | 858 | (32.2) | ** | 70 | (3.3) | NS | 115 | (4.0) | ** | 46 | (2.4) | NS | 144 | (5.7) | NS |
| Not married | 959 | 1347 | 216 | (22.6) | 351 | (27.3) | 42 | (4.0) | 89 | (6.6) | 19 | (2.0) | 53 | (4.2) | ||||||
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| 0 years | 494 | 591 | 78 | (16.2) | *** | 110 | (18.5) | *** | 12 | (2.2) | NS | 33 | (6.2) | NS | 5 | (1.1) | ** | 9 | (1.3) | *** |
| 1–6 years | 1303 | 1657 | 305 | (23.2) | 460 | (28.5) | 50 | (3.6) | 91 | (5.2) | 27 | (2.2) | 72 | (4.9) | ||||||
| 7–12 years | 961 | 1464 | 284 | (29.5) | 510 | (34.9) | 44 | (4.4) | 69 | (4.6) | 21 | (2.1) | 82 | (5.7) | ||||||
| ≥13 years | 225 | 332 | 69 | (31.7) | 129 | (39.8) | 6 | (2.7) | 11 | (3.0) | 12 | (6.1) | 34 | (6.7) | ||||||
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| 1st quintile (lowest) | 1168 | 1703 | 274 | (23.5) | NS | 465 | (28.1) | *** | 55 | (4.4) | NS | 102 | (6.3) | NS | 13 | (1.3) | * | 50 | (3.1) | *** |
| 2nd quintile | 766 | 1084 | 184 | (24.2) | 312 | (27.9) | 28 | (3.5) | 53 | (4.3) | 22 | (2.9) | 51 | (4.5) | ||||||
| 3rd quintile | 534 | 566 | 136 | (25.1) | 195 | (34.8) | 15 | (2.7) | 23 | (4.4) | 12 | (2.5) | 36 | (6.1) | ||||||
| 4th quintile | 311 | 414 | 80 | (25.5) | 128 | (32.3) | 7 | (2.2) | 14 | (4.0) | 9 | (2.4) | 30 | (7.5) | ||||||
| 5th quintile (highest) | 200 | 277 | 61 | (30.0) | 109 | (39.3) | 7 | (3.2) | 12 | (3.3) | 9 | (4.6) | 30 | (10.4) | ||||||
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| NHI | 2668 | 3654 | 654 | (24.6) | NS | 1110 | (30.7) | * | 92 | (3.3) | NS | 185 | (4.8) | NS | 63 | (2.5) | NS | 188 | (5.3) | NS |
| Medical care | 265 | 260 | 62 | (22.3) | 54 | (22.8) | 16 | (5.4) | 13 | (6.2) | 1 | (0.5) | 2 | (1.5) | ||||||
NSp > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001. The data were analyzed by a chi-square test. Incomplete responses were excluded from the analysis. Household income (2012 year: 4), Type of health insurance (2012 year: 50, 2015 year: 130). NHI: the National Health Insurance.
Changes in the associations between the annual dental care utilization and sociodemographic characteristics after expanded coverage of dental prostheses for older adults.
| Classification | Dental Care Utilization | Denture Use | Dental Implant Use | |||
|---|---|---|---|---|---|---|
| 2012 Year | 2015 Year | 2012 Year | 2015 Year | 2012 Year | 2015 Year | |
| Odds Ratio (95% CI) | Odds Ratio (95% CI) | Odds Ratio (95% CI) | Odds Ratio (95% CI) | Odds Ratio (95% CI) | Odds Ratio (95% CI) | |
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| Male | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| Female | 1.147(0.932–1.412) NS | 1.040(0.870–1.243) NS | 1.021(0.636–1.638) NS | 0.966(0.632–1.474) NS | 1.124(0.632–1.999) NS | 0.832(0.583–1.187) NS |
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| 65–69 years | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| 70–74 years | 0.891(0.717–1.106) NS | 1.250(1.023–1.528) * | 0.760(0.454–1.274) NS | 2.544(1.440-4.494) ** | 0.656(0.365–1.181) NS | 0.916(0.609–1.377) NS |
| 75–79 years | 0.842(0.655–1.083) NS | 0.963(0.775–1.195) NS | 0.996(0.588–1.687) NS | 3.690(2.101–6.483) *** | 0.355(0.148–0.849) * | 0.817(0.500–1.333) NS |
| ≥80 years | 0.389(0.272–0.555) *** | 0.666(0.514–0.865) ** | 0.556(0.263–1.173) NS | 2.735(1.452–5.151) ** | 0.062(0.008–0.490) ** | 0.556(0.283–1.095) NS |
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| Married | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| Not married | 1.138(0.911–1.422) NS | 1.089(0.894–1.327) NS | 1.495(0.930–2.402) NS | 1.548(0.953–2.516) NS | 1.491(0.809–2.771) NS | 1.206(0.788–1.847) NS |
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| ≥13 years | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| 7–12 years | 0.848(0.604–1.191) NS | 0.821(0.614–1.097) NS | 1.699(0.630–4.582) NS | 1.254(0.598–2.629) NS | 0.315(0.148–0.671) ** | 0.693(0.427–1.122) NS |
| 1–6 years | 0.606(0.427–0.860) ** | 0.643(0.474–0.871) *** | 1.258(0.455–3.481) NS | 1.100(0.514–2.352) NS | 0.362(0.163–0.806) * | 0.739(0.445–1.228) NS |
| 0 years | 0.427(0.278–0.657) *** | 0.397(0.269–0.585) *** | 0.712(0.216–2.352) NS | 1.055(0.445–2.497) NS | 0.260(0.078–0.865) * | 0.219(0.088–0.540) ** |
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| 5th quintile (highest) | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| 4th quintile | 0.826(0.546–1.250) NS | 0.753(0.524–1.802) NS | 0.737(0.231–2.350) NS | 0.876(0.339–2.263) NS | 0.548(0.207–1.451) NS | 0.623(0.346–1.121) NS |
| 3rd quintile | 0.830(0.567–1.215) NS | 0.846(0.603–1.186) NS | 0.930(0.346–2.496) NS | 0.928(0.415–2.072) NS | 0.634(0.246–1.636) NS | 0.547(0.314–0.955) * |
| 2nd quintile | 0.822(0.569–1.188) NS | 0.611(0.446–0.837) ** | 1.138(0.447–2.897) NS | 1.240(0.598–2.569) NS | 0.839(0.364–1.931) NS | 0.442(0.263–0.743) ** |
| 1st quintile (lowest) | 0.874(0.610–1.253) NS | 0.752(0.553–1.023) NS | 1.513(0.620–3.689) NS | 1.305(0.658–2.589) NS | 0.407(0.160–1.035) NS | 0.374(0.204–0.685) ** |
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| NHI | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 | Ref. 1.000 |
| Medical care | 1.027(0.739–1.426) NS | 0.785(0.544–1.133) NS | 1.436(0.808–2.551) NS | 0.948(0.488–1.842) NS | 0.291(0.040–2.084) NS | 0.424(0.086–2.085) NS |
NSp > 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001. The data were analyzed by a logistic regression.