| Literature DB >> 27580946 |
Xiang Huo1, Li-Ling Chen2, Lei Hong3, Lun-Hui Xiang4, Fen-Yang Tang1, Shan-Hui Chen5, Qiang Gao6, Cong Chen7, Qi-Gang Dai1, Chuan-Wu Sun8, Ke Xu1, Wen-Jun Dai9, Xian Qi1, Chang-Cheng Li10, Hui-Yan Yu1, Yin Zhou11, Hao-Di Huang1, Xing-Yang Pan12, Chang-Sha Xu13, Ming-Hao Zhou1, Chang-Jun Bao14.
Abstract
BACKGROUND: H7N9 continues to cause human infections and remains a pandemic concern. Understanding the economic impacts of this novel disease is important for making decisions on health resource allocation, including infectious disease prevention and control investment. However, there are limited data on such impacts.Entities:
Keywords: Avian influenza; Direct medical costs; H7N9; Hospitalization; Human infections
Mesh:
Year: 2016 PMID: 27580946 PMCID: PMC5007809 DOI: 10.1186/s40249-016-0170-5
Source DB: PubMed Journal: Infect Dis Poverty ISSN: 2049-9957 Impact factor: 4.520
Fig. 1Direct medical costs (thousand yuan, RMB) and proportions of main components for different hospitalized H7N9 patients. a Direct medical costs of hospitalization and its main components in different patients; b Proportions of main medical cost components in different patients; c Medications costs in different patients; d Proportions of medications in different patients
Direct medical costs (RMB, thousand Yuan) of hospitalization in different H7N9 patients
| All patients ( | Mild ( | Severe ( | Dead ( |
|
| |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Median (IQR) | Proportion, %, median (IQR) | Median (IQR) | Proportion, %, median (IQR) | Median (IQR) | Proportion, %, median (IQR) | Median (IQR) | Proportion, %, median (IQR) | |||
| Total fee | 122 260 (60 710–310 220) | 100 | 12 790 (3 320–19 750) | 100 | 96 780 (56 780–287 140) | 100 | 228 650 (116 410–549 520) | 100 | <0.0001 | -- |
| Examination | 8 420 (2 920–17 320) | 5.0 (2.5–10.6) | 530 (150–1 510) | 4.6 (3.5–9.4) | 8 660 (3 840–14 700) | 7.3 (3.2–11.6) | 13 900 (3 400–21 540) | 2.8 (1.6–9.9) | 0.011 | 0.092 |
| Lab testing | 15 350 (8 520–35 570) | 11.9 (9.1–14.9) | 1 910 (290–3 390) | 16.3 (7.8–19.4) | 14 600 (8 470–27 950) | 13.2 (10.2–15.3) | 25 530 (11 120–65 980) | 9.7 (7.6–11.5) | 0.002 | 0.009 |
| Medication | 63 250 (27 420–212 700) | 53.5 (40.1–60.1) | 8 080 (1 820–10 170) | 55.1 (34.8–65.3) | 61 130 (21 280–151 040) | 55.2 (47.0–59.8) | 137 410 (54 290–345 040) | 49.3 (38.0–60.6) | 0.001 | 0.868 |
| Western medication | 58 390 (22 050–190 890) | 99.7 (90.6–100.0) | 3 520 (780–8 890) | 83.6 (36.0–95.9) | 55 750 (20 950–146 220) | 99.7 (94.6–100.0) | 137 220 (54 290–345 030) | 99.7 (91.1–100.0) | 0.001 | 0.420 |
| TCMa | 340 (10–2 490) | 0.3(0 .0–3.4) | 300 (20–1 700) | 12.5 (2.2–19.5) | 330 (10–2 420) | 0.3 (0.0–3.3) | 350 (10–4 870) | 0.3 (0.0–2.5) | 0.812 | 0.358 |
| Antibiotics | 12 880 (5 370–38 210) | 20.8 (11.1–36.3) | 2 740 (530–4 950) | 57.6 (22.4–68.3) | 13 260 (5 870–39 200) | 31.4 (16.1–39.0) | 19 060 (7 650–43 730) | 13.0 (8.1–30.5) | 0.014 | 0.018 |
| Antiviral | 1 930 (840–4 130) | 2.5 (0.9–7.8) | 390 (20–790) | 7.5 (1.7–14.2) | 1 820 (980–4 140) | 2.9 (1.1–8.0) | 2 990 (1 390–4 780) | 1.2 (0.6–5.7) | 0.016 | 0.333 |
| Glucocorticoids | 2 320 (340–8 560) | 2.3 (0.4–13.3) | 0 (0–1 930) | 0.0 (0.0–19.0) | 1 140 (270–6 700) | 1.3 (0.3–13.6) | 4 660 (1 620–22 830) | 4.1 (1.6–13.0) | 0.002 | 0.072 |
| Immunoglobulin | 13 880 (0–33 400) | 10.4 (0.0–24.4) | 0 | 0.0 | 5 960 (0–39 100) | 10.4 (0.0–31.6) | 23 040 (8 290–39 780) | 17.0 (9.4–21.5) | 0.014 | 0.025 |
| Treating | 13 860 (5 610–65 210) | 14.8 (8.3–23.8) | 120 (70–2 500) | 2.9 (0.8–12.9) | 8 770 (4 600–32 350) | 11.2 (7.7–18.3) | 54 450 (16 170–200 570) | 22.9 (14.8–29.8) | <0.0001 | 0.002 |
| Medical Consumables | 1 010 (0–16 510) | 2.4 (0.0–12.2) | 300 (100–2 290) | 3.7 (2.2–11.8) | 150 (0–6 070) | 0.2 (0.0–5.9) | 21 630 (0–88 810) | 12.6 (0.0–19.1) | 0.025 | 0.020 |
| Sick bed | 2 400 (1 340–3 990) | 1.4 (0.7–3.2) | 320 (1 650–5 260) | 4.4 (1.1–14.2) | 3 040 (1 430–5 150) | 2.1 (1.2–4.3) | 2 240 (1 410–3 520) | 0.8 (0.5–1.4) | 0.021 | 0.001 |
| Nursing | 2 390(790–6 270) | 1.5 (0.7–3.3) | 340 (160–660) | 5.3 (0.9–18.9) | 3 170 (1 250–6 620) | 2.6 (1.1–4.8) | 2 180 (1 490–7 850) | 1.3 (0.7–1.5) | 0.050 | 0.033 |
| Other fees | 100 (0–810) | 0.1 (0.0–1.1) | 10 (0–70) | 0.1 (0.0–0.3) | 310 (70–2 400) | 0.4 (0.1–2.0) | 60 (0–260) | 0.0 (0.0–0.2) | 0.022 | 0.032 |
*P for fee medians comparisons among patients with different clinical outcomes, using Kruskal-wallis H test
**P for proportion medians comparisons among patients with different clinical outcomes, using Kruskal-wallis H test
aTraditional Chinese Medicines
Univariate analysis of the factors associated with direct medical cost (RMB) of hospitalized H7N9 patients
| Selected variables | Frequency | Median of total fee (interquartile range) |
|
|---|---|---|---|
| Overall | 52 | 122 260 (60 710–310 220) | N.A. |
| Severity and outcome | <0.0001 | ||
| Mild | 4 | 12 780 (3 320–19 750) | |
| Severe | 27 | 96 780 (56 780–287 140) | |
| Dead | 21 | 228 650 (116 410–549 520) | |
| Gender | 0.020 | ||
| Male | 40 | 100 110 (52 190–265 010) | |
| Female | 12 | 259 880 (116 410–544 590) | |
| Age, years | 0.945 | ||
| <34 | 10 | 201 960 (21 750–460 340) | |
| 35–64 | 27 | 108 420 (64 350–277 420) | |
| >=65 | 15 | 123 820 (80 350–310 210) | |
| Districta | 0.044 | ||
| Northern | 12 | 84 840 (37 230–125 650) | |
| Southern | 39 | 138 360 (76 740–460 660) | |
| Health insurancea | 0.755 | ||
| None | 5 | 96 780 (57 360–287 140) | |
| URBMI | 28 | 92 210 (52 190–271 140) | |
| NCMS | 12 | 237 550 (62 130–291 280) | |
| Proportion of Reimbursement | 0.033 | ||
| <50 % | 7 | 96 780 (38 800–128 980) | |
| 50–79 % | 10 | 101 140 (53 990–228 650) | |
| 80–99 % | 8 | 87 270 (29 700–193 050) | |
| 100 % | 27 | 254 340 (93 510–549 520) | |
| Family member monthly average income (RMB, thousand yuan)a | 0.135 | ||
| <1 | 4 | 67 770 (37 870–167 950) | |
| 1–3 | 10 | 303 340 (120 700–606 530) | |
| 3–5 | 15 | 105 460 (77 960–165 360) | |
| 5–10 | 14 | 131 640 (32 330–460 340) | |
| >=10 | 6 | 302 140 (123 820–1103 550) |
*Mann–Whitney U test (for 2 groups) or Kruskal-wallis H test (for multiple groups)
aThere are 1, 7 and 3 missing data in District, Health insurance and Family member monthly average income respectively
Estimated direct medical cost (RMB) of hospitalization for H7N9 patients with different characteristics
| Selected variables | B |
| Estimated Mean (95 % |
|
|---|---|---|---|---|
| Severity | ||||
| Mild | Ref. | N.A. | 12 060 (4 710–30 860) | <0.0001 |
| Severe | 2.424 | <0.0001 | 136 120 (88 830–208 580) | 0.557 |
| Dead | 2.897 | <0.0001 | 218 610(134 200–356 100) | 0.013 |
| Reimbursement proportion | ||||
| <50 % | Ref. | N.A. | 46 010 (21 480–98 570) | 0.276 |
| 50–79 % | 0.340 | 0.526 | 64 670 (32 060–130 470) | 0.415 |
| 80–99 % | 0.233 | 0.667 | 58 060 (27 900–120 840) | 0.415 |
| 100 % | 1.166 | 0.012 | 147 630 (92 610–235 340) | 0.026 |
| Family member monthly average income (RMB, thousand yuan) | ||||
| <1 | Ref. | N.A. | 22 250 (9 150–54 130) | 0.002 |
| 1–3 | 1.691 | 0.001 | 120 770 (64 890–224 770) | 0.613 |
| 3–5 | 1.236 | 0.012 | 76 600 (47 320–123 990) | 0.730 |
| 5–10 | 1.124 | 0.020 | 68 460 (41 430-113 110) | 0.662 |
| >=10 | 1.755 | 0.002 | 128 620 (56 990-290 320) | 0.613 |
Dependent Variable: Total fee
Model: (Intercept), severity, Reimbursement proportion, Family member monthly average income
Grand mean (95 % CI): 71 060 (48 180-104 820)
*P value for coefficient B
**P value for estimated mean compared with grand mean