| Literature DB >> 35010517 |
Abstract
Kidney disability due to kidney failure could be considered to be the most severe of all the internal-organ disabilities. The purpose of this study was to identify the disease burden between the kidney and non-kidney disabled among the internal-organ disabled, based on the number of chronic diseases, annual out-of-pocket expenditure, and quality of life. From 2009 to 2013, 308 people (6.5%) with internal-organ disabilities were extracted out of 4732 people with disabilities in the Korea Health Panel. We compared the disease burden of 136 people with kidney disability (44.2%) and 172 people with non-kidney disability (55.8%), and confirmed the trend of disease burden over five years through panel analysis. The disease burden gap between kidney and non-kidney disabilities was, respectively, the number of chronic diseases (4.7 vs. 3.3, p < 0.0001), annual out-of-pocket expenditure ($1292 vs. $847, p < 0.004), and quality of life score out of 100 (49.2 vs. 60.2, p < 0.0001). In addition, when looking at the five-year trend of the three disease burden indexes, the kidney disabled were consistently worse than the non-kidney disabled (p < 0.01). In conclusion, health policy planners aiming for health equity need to seek practical strategies to reduce the gap in the disease burden among people with disabilities.Entities:
Keywords: disease burden; kidney failure; out-of-pocket expenditure; quality of life; the kidney disabled; the number of chronic diseases
Mesh:
Year: 2021 PMID: 35010517 PMCID: PMC8751061 DOI: 10.3390/ijerph19010249
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Socio-demographic characteristics of the kidney and non-kidney disabled in five-year Korea Health Panel (KHP) pooled data.
| Classification | Subjects | Population Weight Subject | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Total (%) | KD (1) (%) | NKD (2) (%) | Chi-Square | Total (%) | KD (%) | NKD (%) | Chi-Square | ||
| All | 308 (100.0) | 136 (100.0) | 172 (100.0) | 792,566 (100.0) | 335,180 (100.0) | 457,386 (100.0) | |||
| Age | Mean ± SD | 58.0 ± 14.8 | 59.9 ± 11.5 | 56.5 ± 16.9 | 2.10/<0.003 | 53.8 ± 15.0 | 57.7 ± 11.0 | 50.8 ± 16.4 | 4.05/<0.0001 |
| Gender | Male | 190 (61.7) | 65 (47.8) | 125 (72.7) | 19.9/<0.0001 | 468,562 (59.1) | 157,164 (46.9) | 311,398 (68.1) | 35,946.77/<0.0001 |
| Female | 118 (38.3) | 71 (52.2) | 47 (27.3) | 324,004 (40.9) | 178,017 (53.1) | 145,987 (31.9) | |||
| Age group | <65 | 180 (58.4) | 82 (60.3) | 98 (57.0) | 0.34/<0.557 | 560,237 (70.7) | 236,815 (70.7) | 323,422 (70.7) | 0.315/0.5746 |
| ≥65 | 128 (41.6) | 54 (39.7) | 74 (43.0) | 232,328 (29.3) | 98,365 (29.4) | 133,963 (29.3) | |||
| Marital status | Married | 191 (62.4) | 95 (69.9) | 96 (56.4) | 12.59/<0.002 | 445,173 (56.5) | 230,984 (68.9) | 214,188 (47.3) | 70,237.1/<0.0001 |
| Separated, divorced | 77 (25.1) | 34 (25.0) | 43 (25.2) | 185,473 (23.5) | 82,810 (24.7) | 102,663 (22.7) | |||
| Unmarried | 38 (12.4) | 7 (5.2) | 31 (18.2) | 157,412 (20.0) | 21,386 (6.4) | 136,026 (30.0) | |||
| Economic activity | Yes | 75 (24.4) | 17 (12.5) | 58 (33.9) | 18.82/<0.001 | 198,145 (25.1) | 153,450 (33.7) | 44,694 (13.3) | 42,618.45/<0.0001 |
| No | 232 (75.6) | 119 (87.5) | 113 (66.1) | 592,440 (74.9) | 301,954 (66.3) | 290,486 (86.7) | |||
| Medical social security | NHI (3) | 208 (67.5) | 97 (71.3) | 111 (64.5) | 1.60/0.2 | 511,799 (64.6) | 285,035 (62.3) | 226,764 (67.7) | 2407.584/<0.0001 |
| MA (4) | 100 (32.4) | 39 (28.7) | 61 (35.5) | 280,767 (35.4) | 172,351 (37.7) | 108,416 (32.4) | |||
| Type of disability | Dialysis | 115 (37.3) | 115 (84.6) | - | 308.0/0.0001 | 275,324 (34.7) | 275,324 (34.7) | - | 792,566/<0.0001 |
| KT (5) | 21 (6.8) | 21 (15.4) | - | 59,856 (7.6) | 59,856 (7.6) | - | |||
| Heart | 25 (8.1) | - | 25 (14.5) | 52,140 (6.6) | - | 52,140 (6.6) | |||
| Respiratory organ | 43 (13.9) | - | 43 (25.0) | 74,788 (9.4) | - | 74,788 (9.4) | |||
| Liver | 5 (1.6) | - | 5 (2.9) | 12,157 (1.5) | - | 12,157 (1.5) | |||
| Colo- or urostomy | 32 (10.4) | - | 32 (18.6) | 60,652 (7.7) | - | 60,652 (7.7) | |||
| Epilepsy | 67 (21.8) | - | 67 (39.0) | 257,649 (32.5) | - | 257,649 (32.5) | |||
(1) Kidney disability; (2) Non-kidney disability; (3) National Health Insurance; (4) Medical Aid; (5) Kidney transplantation.
Comparison of the number of chronic diseases of the kidney and non-kidney disabled by ANCOVA in five-year KHP pooled data.
| Classification | Total | KD (1) | NKD (2) | F/ | |
|---|---|---|---|---|---|
| Number ± SE | Number ± SE | Number ± SE | |||
| Subjects | All | 3.9 ± 0.1 | 4.7 ± 0.2 | 3.3 ± 0.2 | 24.08/<0.0001 |
| Male | 3.9 ± 0.1 | 4.9 ± 0.3 | 3.5 ± 0.2 | 14.84/0.0002 | |
| Female | 3.7 ± 0.2 | 4.1 ± 0.2 | 3.2 ± 0.3 | 6.53/0.012 | |
| Population weight subject | All | 3.7 ± 0.2 | 5.0 ± 0.2 | 3.4 ± 0.2 | 33.57/<0.0001 |
| Male | 3.9 ± 0.2 | 5.9 ± 0.3 | 3.5 ± 0.3 | 30.1/<0.0001 | |
| Female | 3.5 ± 0.2 | 4.0 ± 0.2 | 3.3 ± 0.2 | 3.9/<0.05 | |
(1) Kidney disability; (2) Non-kidney disability; (3) the covariates were age, marital status, economic activity, type of medical social security, and gender for all subjects.
The annual out-of-pocket (OOP) medical expenditure ($) (1) for the kidney and the non-kidney disabled by ANCOVA in five-year KHP pooled data.
| Classification | Total | KD (2) | NKD (3) | F/ | |
|---|---|---|---|---|---|
| Mean ($) ± SE | Mean ($) ± SE | Mean ($) ± SE | |||
| Subjects | All | 1045.2 ± 77.0 | 1292.1 ± 109.5 | 847.5 ± 97.3 | 8.57/0.004 |
| Male | 914.9 ± 79.9 | 1197.1 ± 119.7 | 763.3 ± 85.8 | 8.26/0.005 | |
| Female | 1254.0 ± 152.8 | 1443.0 ± 190.2 | 968.4 ± 237.5 | 2.27/0.135 | |
| Population weight subject | All | 946.7 ± 73.0 | 1252.4 ± 107.4 | 853.3 ± 98.2 | 7.125/0.007 |
| Male | 896.9 ± 83.8 | 1234.0 ± 135.6 | 861.9 ± 102.9 | 4.48/0.04 | |
| Female | 1018.4 ± 132.9 | 1262.0 ± 176.8 | 854.2 ± 206.0 | 2.14/0.15 | |
(1) Including cost for an emergency room visit, out-patient department visit, admission, and buying for the prescribed drug. Every expenditure was converted to USD ($) based on the exchange rate on 1 July 2009 (1 $ = 1258.59 KRW); (2) Kidney disability; (3) Non-kidney disability; (4) the covariates were age, marital status, economic activity, type of medical social security, and gender for all subjects.
Comparison of the kidney and the non-kidney disabled QOL (EQ-VAS) (1) by ANCOVA in five-year KHP pooled data.
| Classification | Total | KD (2) | NKD (3) | F/ | |
|---|---|---|---|---|---|
| Mean ± SE | Mean ± SE | Mean ± SE | |||
| Subjects | All | 54.9 ± 1.2 | 49.2 ± 1.7 | 60.2 ± 1.6 | 20.3/<0.0001 |
| Male | 54.3 ± 1.6 | 46.7 ± 2.5 | 58.8 ± 1.9 | 13.7/0.0003 | |
| Female | 55.9 ± 1.9 | 53.0 ± 2.3 | 60.8 ± 3.1 | 3.95/0.05 | |
| Population weight subject | All | 54.2 ± 1.2 | 47.1 ± 1.8 | 59.9 ± 1.7 | 26.0/<0.0001 |
| Male | 53.0 ± 1.7 | 44.8 ± 2.6 | 58.6 ± 2.1 | 15.5/0.0001 | |
| Female | 55.5 ± 1.9 | 51.1 ± 2.4 | 60.6 ± 3.0 | 5.85/0.01 | |
(1) Today’s subjective health status (0 worst, 100 best); (2) Kidney disability; (3) Non-kidney disability; (4) the covariates were age, marital status, economic activity, type of medical social security, and gender for all subjects.
Figure 1Five years of trends of chronic disease numbers, the OOP medical expenditure, and QOL in both groups by a mixed-effect model using unbalanced panel data. Thick red dotted lines refer to LOWESS curve, and other lines refer to the value of each subject. The covariate variables were age, gender, marital status, economic activity, and type of medical social security; (a) There was a difference between the kidney disabled and the non-kidney disabled in the five-year trend in the number of chronic disease (p < 0.01); (b) There was a difference between the kidney disabled and the non-kidney disabled in the five-year trend in the annual OOP medical expenditure (p < 0.01). (c) There was a difference in QOL (today’s subjective health status) in the five-year trend between the kidney disabled and the non-kidney disabled (p < 0.001).