| Literature DB >> 29228917 |
Mingzhou Xiong1,2, Ming Li1,2, Daocheng Zheng1,2, Xiaohua Wang1,2, Ting Su1,2, Yongfeng Chen3,4, Bin Yang1,2.
Abstract
BACKGROUND: A lot of time and money was needed during the diagnosis and treatment process of leprosy, the delayed leprosy would also impair the labor capability of patients as well, and these put a heavy burden for the leprosy patients. The migrant leprosy patient is a special group and need more concern. Our goal was to assess the economic burden of leprosy on migrant and resident patient populations in Guangdong province, China.Entities:
Keywords: Cross-sectional study; Economic burden; Leprosy; Migrant
Mesh:
Year: 2017 PMID: 29228917 PMCID: PMC5725930 DOI: 10.1186/s12879-017-2869-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1The diagnosis and treatment process for leprosy patients
Demographic characteristic of participants
| Migrants | Residents | Total | χ2 |
| |
|---|---|---|---|---|---|
| Sex | |||||
| Male | 60 (69.0) | 108 (64.7) | 168 (66.1) | 0.471 | 0.577 |
| Female | 27 (31.0) | 59 (35.3) | 86 (33.9) | ||
| Age | |||||
| < 20 | 1 (1.1) | 9 (5.4) | 10 (3.9) | 25.769 | <0.001 |
| 21–40 | 52 (59.8) | 48 (28.7) | 100 (39.4) | ||
| 41–60 | 22 (25.3) | 54 (32.3) | 76 (29.9) | ||
| > 60 | 11 (12.6) | 53 (31.7) | 64 (25.2) | ||
| No data | 1 (1.1) | 3 (1.8) | 4 (1.6) | ||
| Education | |||||
| Primary school or below | 35 (40.2) | 87 (52.1) | 122 (48.0) | 3.783 | 0.286 |
| Junior high school | 31 (35.6) | 49 (29.3) | 80 (31.5) | ||
| Senior high school | 12 (13.8) | 20 (12.0) | 32 (12.6) | ||
| College and up | 8 (9.2) | 9 (5.4) | 17 (6.7) | ||
| No data | 1 (4.9) | 2 (1.2) | 3 (1.2) | ||
| Marriage | |||||
| Single | 19 (21.8) | 37 (22.2) | 56 (22.0) | 3.248 | 0.517 |
| Married | 59 (67.8) | 119 (71.3) | 178 (70.1) | ||
| Divorced | 4 (4.6) | 2 (1.2) | 6 (2.4) | ||
| Widowed | 5 (5.7) | 8 (4.8) | 13 (5.1) | ||
| No data | 0 (0.0) | 1 (0.6) | 1 (0.4) | ||
| Employment | |||||
| Full-time | 53 (60.9) | 48 (28.7) | 101 (39.8) | 28.418 | <0.001 |
| Part-time | 4 (4.6) | 11 (6.6) | 15 (5.9) | ||
| Unemployed | 21 (24.1) | 88 (52.7) | 109 (42.9) | ||
| Retired | 2 (2.3) | 11 (6.6) | 13 (5.1) | ||
| No data | 7 (8.0) | 9 (5.4) | 16 (6.3) | ||
| Profession | |||||
| Farmers | 33 (37.9) | 95 (56.9) | 128 (50.4) | 25.931 | <0.001 |
| Factory workers | 37 (42.5) | 23 (13.8) | 60 (23.6) | ||
| Businessmen | 4 (4.6) | 12 (7.2) | 16 (6.3) | ||
| Public servants | 1 (1.1) | 6 (3.6) | 7 (2.8) | ||
| Others | 11 (12.6) | 25 (15.0) | 36 (14.2) | ||
| No data | 1 (1.1) | 6 (3.6) | 7 (2.8) | ||
| Annual income ($) | |||||
| <753 (About 5000 RMB) | 15 (17.2) | 55 (32.9) | 70 (27.6) | 7.375 | 0.061 |
| 753–3012 (About 5001–20,000 RMB) | 26 (29.9) | 44 (26.3) | 70 (27.6) | ||
| 3012–7530 (About 20,001–50,000 RMB) | 23 (26.4) | 38 (22.8) | 61 (24.0) | ||
| > 7530 (About 50,000 RMB) | 10 (11.5) | 11 (6.6) | 21 (8.3) | ||
| No data | 13 (14.9) | 19 (11.4) | 32 (12.6) | ||
Financial and disease information for migrant and resident leprosy patients
| Migrants | Residents | Total | χ2 |
| |
|---|---|---|---|---|---|
| Medical insurance | |||||
| Yes | 63 (72.4) | 153 (91.6) | 216 (85.0) | 15.265 | <0.001 |
| No | 22 (25.3) | 13 (7.8) | 35 (13.8) | ||
| No data | 2 (2.3) | 1 (0.6) | 3 (1.2) | ||
| Debt | |||||
| Yes | 19 (21.8) | 45 (26.9) | 64 (25.2) | 0.708 | 0.400 |
| No | 67 (77.0) | 122 (73.1) | 189 (74.4) | ||
| No data | 1 (1.1) | 0 (0.0) | 1 (0.4) | ||
| Financial aid | |||||
| Yes | 20 (23.0) | 25 (15.0) | 45 (17.7) | 2.760 | 0.115 |
| No | 60 (69.0) | 131 (78.4) | 191 (75.2) | ||
| No data | 7 (8.0) | 11 (6.6) | 18 (7.1) | ||
| Income Changing after diagnosed | |||||
| Decrease | 29(33.3) | 69(41.3) | 98(38.6) | 5.79 | 0.055 |
| Increase | 10(11.5) | 7(4.2) | 17(6.7) | ||
| Insignificant | 40(46.0) | 87(52.1) | 127(50.0) | ||
| No data | 8(9.2) | 4(2.4) | 12(4.7) | ||
| Job Changing after diagnosed | |||||
| Loss job | 13(14.9) | 25(15.0) | 38(15.0) | 22.614 | <0.001 |
| Go home and be a farmer | 1(1.1) | 16(9.6) | 17(6.7) | ||
| Change job | 24(27.6) | 20(12.0) | 44(17.3) | ||
| Unemployment both before and after diagnosed | 9(10.3) | 45(26.9) | 54(21.3) | ||
| No change | 39(44.8) | 61(36.5) | 100(39.4) | ||
| No data | 1(1.1) | 0 | 1(0.4) | ||
| Leprosy typea | |||||
| TT | 4 (4.6) | 4 (2.4) | 8 (3.1) | 13.220 | 0.033 |
| BT | 12 (13.8) | 37 (22.2/) | 49 (19.3) | ||
| BB | 4 (4.6) | 13 (7.8) | 17 (6.7) | ||
| BL | 21 (24.1) | 41 (24.6) | 62 (24.4) | ||
| LL | 41 (47.1) | 67 (40.1) | 108 (42.5) | ||
| I | 3 (3.4) | 0 (0.0) | 3 (1.2) | ||
| no data | 2 (2.3) | 5 (3.0) | 7 (2.8) | ||
| Delay time | |||||
| Two years and below | 42 (48.3) | 95 (56.9) | 137 (53.9) | 1.566 | 0.667 |
| 2–5 years | 22 (25.3) | 33 (19.8) | 55 (21.7) | ||
| 5–10 years | 11 (12.6) | 22 (13.2) | 33 (13.0) | ||
| 10 years and up | 6 (6.9) | 11 (6.6) | 17 (6.7) | ||
| No data | 6 (6.9) | 6 (3.6) | 12 (4. 7) | ||
| G1Db | |||||
| Yes | 7 (8.0) | 28 (16.8) | 35 (13.8) | 3.491 | 0.043 |
| No | 78 (89.7) | 138 (82.6) | 216 (85.0) | ||
| No data | 2 (2.3) | 1 (0.6) | 3 (1.2) | ||
| G2D | |||||
| Yes | 12 (13.8) | 31 (18.6) | 43 (16.9) | 0.822 | 0.479 |
| No | 73 (83.9) | 135 (80.8) | 208 (81.9) | ||
| No data | 2 (2.3) | 1 (0.6) | 3(1.2) | ||
| Neuritis | |||||
| Yes | 25 (28.7) | 42 (25.1) | 67 (26.4) | 0.485 | 0.547 |
| No | 60 (69.0) | 124 (74.3) | 184 (72.4) | ||
| No data | 2 (2.3) | 1 (0.6) | 3 (1.2) | ||
| Lepra reaction | |||||
| Yes | 28 (32.2) | 37 (22.8) | 66 (26.0) | 2.929 | 0.097 |
| No | 57 (65.5) | 128 (76.6) | 185 (72.8) | ||
| No data | 2 (2.3) | 1 (0.6) | 3 (1.2) | ||
aTT-Tuberculosis leprosy; BT-borderline tuberculoid leprosy; BB-borderline leprosy; BL-borderline lepromatous leprosy; LL-lepromatous leprosy; I-indeterminate leprosy
bThe leprosy disability grades were in terms of the standard of the sixth leprosy experts committee of WHO (1988)
Economic burden of leprosy for migrant and resident patients
| Migrant ( | Resident ( | Total | t |
| |
|---|---|---|---|---|---|
| Expenses before diagnosis | |||||
| Hospital visits (N) | 3 (1–6) | 3 (1–6) | 3 (1–6) | 1.268 | 0.206 |
| Average cost for each visit ($) | 41.3 (15–105.2) | 45.1 (18–150.3) | 45.1(15–120.2) | 0.558 | 0.577 |
| Time lost for each visit (days) | 3 (1–8) | 3 (1–10) | 3 (1–10) | 0.897 | 0.371 |
| Total expenses before diagnosis per year ($) | 131.6 (39.2–450.9) | 152.4 (30.7–770.9) | 151.7 (35.6–677.4) | 1.341 | 0.147 |
| General expenses after diagnosis | |||||
| Cost for diagnosis ($) | 75.2 (13.5–150.3) | 75.2 (25.6–180.4) | 71.2 (15–180.4) | 0.458 | 0.648 |
| Visits to receive drugs (n) | 20 (8.5–29) | 15 (8–27) | 17 (8–27.5) | 0.253 | 0.801 |
| Average cost for each visit ($) | 9 (3.8–30.1) | 15 (6.8–30.1) | 13.5 (4.5–30.1) | 0.357 | 0.721 |
| Time lost for each visit (days) | 13.5 (7–17.5) | 12 (6–17) | 12.5 (6.5–17.5) | 0.273 | 0.785 |
| Total ordinary expenses after diagnosis per year ($) | 300.6 (158.4–868.5) | 309.7 (103.2–1016.7) | 356.2 (180.4–876.6) | 0.119 | 0.905 |
| Extra expenses after diagnosis | |||||
| Extra expenses per year ($) | 69.5 (11–178.4) | 91.9 (32.6–303.1) | 87.5 (26.9–266.7) | 1.160 | 0.247 |
| Total expense after diagnosis per year ($) | 471.0 (209.7–1229.2) | 562.9 (255.7–1295.8) | 515.4 (238.3–1275.9) | 1.054 | 0.293 |
| Ratio of expense to income | 0.15 (0.04–0.50) | 0.38 (0.13–1.45) | 0.31 (0.09–1.02) | 0.702 | 0.483 |