Table 3. Expenditures (in reais), average length of stay (in days), and lethality rate (per 100 inpatients) of hospitalizations for clinical treatment of coronavirus infection versus hospitalizations for treatment of pneumonia or influenza (flu) according to region, Brazil, February – December 2020.
| Regions | Hospitalizations for treatment of coronavirus infectiona | Hospitalizations for treatment of pneumonia or influenza (flu)b | ||||||||||||
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| Hospitalizations | Total amount of expenditurec | Average cost per hospital hospitalization (in reais)d | Average length of stay (in days)e | Lethality ratef | Hospitalizations | Total amount of expenditurec | Average cost per hospital hospitalization (in reais)d | Average length of stay (in reais)e | Lethality ratef | |||||
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| (n) | (%) | (R$) | (%) | (n) | (%) | (R$) | (%) | |||||||
| North | 42,345 | 9 | 133,723,986,4 | 6 | 3,157.96 | 7.4 | 20.64 | 34,192 | 10 | 34,865,889.09 | 8 | 1,019.71 | 6.0 | 7.79 |
| Rondônia | 4,550 | 1 | 18,287,032.7 | 1 | 4,019.13 | 6.2 | 15.52 | 2,969 | 1 | 4,256,679.93 | 1 | 1,433.71 | 6.4 | 9.16 |
| Acre | 1,566 | 0 | 5,902,502.86 | 0 | 3,769.16 | 9.2 | 22.03 | 1,059 | 0 | 1,426,106 | 0 | 1,346.65 | 8.0 | 16.9 |
| Amazonas | 12,276 | 3 | 38,513,890.99 | 2 | 3,137.33 | 8.0 | 23.37 | 5,568 | 2 | 5,489,313.14 | 1 | 985.87 | 6.2 | 10.63 |
| Roraima | 1,699 | 0 | 6,162,828.14 | 0 | 3,627.33 | 9.7 | 25.13 | 1,686 | 0 | 2,066,920.29 | 0 | 1,225.93 | 9.4 | 10.74 |
| Pará | 18,509 | 4 | 54,212,642.19 | 2 | 2,928.99 | 7.2 | 19.12 | 19,326 | 6 | 18,065,351.26 | 4 | 934.77 | 5.3 | 6.12 |
| Amapá | 2,418 | 1 | 4,898,168.88 | 0 | 2,025.71 | 7.2 | 24.69 | 1,562 | 0 | 1,313,542.34 | 0 | 840.94 | 7.5 | 5.76 |
| Tocantins | 1,327 | 0 | 5,746,920.67 | 0 | 4,330.76 | 5.7 | 19.29 | 2,022 | 1 | 2,247,976.13 | 0 | 1,111.76 | 6.8 | 8.31 |
| Northeast | 122,719 | 27 | 550,997791.1 | 25 | 4,489.91 | 7.8 | 21.84 | 83,455 | 24 | 93,769,264.42 | 21 | 1,123.59 | 6.2 | 11.16 |
| Maranhão | 18,685 | 4 | 55,102,185.73 | 2 | 2,949.01 | 6.9 | 19.19 | 14,013 | 4 | 13,795,977.17 | 3 | 984,51 | 5.2 | 6.93 |
| Piauí | 9,868 | 2 | 46,716,983.14 | 2 | 4,734.19 | 7.4 | 17.73 | 9,005 | 3 | 7,060,563.32 | 2 | 784,07 | 4.9 | 6.36 |
| Ceará | 23,122 | 5 | 95,454,894.14 | 4 | 4,128.31 | 7.7 | 22.04 | 16,054 | 5 | 17,545,693.07 | 4 | 1,092.92 | 7.0 | 13.98 |
| Rio G. do Norte | 6,464 | 1 | 32,079,037.42 | 1 | 4,962.72 | 7.2 | 24.09 | 3,774 | 1 | 4,317,075.87 | 1 | 1,143.9 | 7.2 | 12.75 |
| Paraíba | 6,136 | 1 | 29,309,295.2 | 1 | 4,776.61 | 8.4 | 31.83 | 5,757 | 2 | 6,396,642.12 | 1 | 1,111.11 | 6.7 | 14.33 |
| Pernambuco | 29,866 | 6 | 133,019,014.1 | 6 | 4,453.86 | 8.1 | 22.34 | 9,632 | 3 | 1,607,5631.99 | 4 | 1,668.98 | 7.6 | 12.52 |
| Alagoas | 5,338 | 1 | 239,012,90.05 | 1 | 4,477.57 | 8.6 | 25.42 | 4,548 | 1 | 6,343,639.79 | 1 | 1,394.82 | 6.3 | 10.64 |
| Sergipe | 4,080 | 1 | 19,007,855.07 | 1 | 4,658.79 | 9.2 | 22.97 | 2,194 | 1 | 2,708,212.73 | 1 | 1,234.37 | 8.1 | 19.74 |
| Bahia | 19,160 | 4 | 116,407,236.3 | 5 | 6,075.53 | 8.2 | 20.34 | 18,478 | 5 | 19,525,828.36 | 4 | 1,056.71 | 5.7 | 11.35 |
| Southeast | 196,054 | 42 | 1,010,529,436 | 45 | 5,154.34 | 8.6 | 22.61 | 145,005 | 42 | 206,452,552.1 | 45 | 1,423.76 | 7.2 | 16.57 |
| Minas Gerais | 34,553 | 7 | 196,447,903.6 | 9 | 5,685.41 | 8.2 | 19.58 | 41,118 | 12 | 596,589,07.46 | 13 | 1,450.92 | 6.8 | 13.05 |
| Espírito Santo | 10,839 | 2 | 68,060,298.71 | 3 | 6,279.2 | 8.7 | 21.82 | 6,671 | 2 | 9,073,085.62 | 2 | 1,360.08 | 6.6 | 10.9 |
| Rio de Janeiro | 38,865 | 8 | 139,621,866.1 | 6 | 3,592.48 | 8.3 | 27.9 | 22,279 | 6 | 30,502,415.18 | 7 | 1,369.11 | 8.2 | 22.77 |
| São Paulo | 111,797 | 24 | 606,399,368 | 27 | 5,424.11 | 8.8 | 21.78 | 74,937 | 22 | 10,721,8143.8 | 23 | 1,430.78 | 7.1 | 17.16 |
| South | 61,824 | 13 | 381,184,490.2 | 17 | 6,165.64 | 8.5 | 19.25 | 58,222 | 17 | 77,888,586.08 | 17 | 1,337.79 | 6.0 | 13.74 |
| Paraná | 22,702 | 5 | 131,733,713.6 | 6 | 5,802.74 | 7.9 | 19.27 | 22,580 | 6 | 30,765,544.92 | 7 | 1,362.51 | 5.2 | 10.7 |
| Santa Catarina | 14,270 | 3 | 95,031,703,47 | 4 | 6,659.54 | 8.2 | 18 | 14,135 | 4 | 19,970,729.02 | 4 | 1,412.86 | 5.6 | 13.56 |
| Rio G. do Sul | 24,852 | 5 | 154,419,073,2 | 7 | 6,213.55 | 9.1 | 19.95 | 21,507 | 6 | 27,152,312.14 | 6 | 1,262.49 | 7.2 | 17.04 |
| Midwest | 39,207 | 8 | 171,576,264.2 | 8 | 4,376.16 | 7.4 | 18.37 | 27,445 | 8 | 43,362,970.17 | 10 | 1,580.00 | 6.5 | 11.96 |
| Mato G. do Sul | 4,408 | 1 | 21,722,376.9 | 1 | 4,927.94 | 8.1 | 19.44 | 6,897 | 2 | 9,825,686.84 | 2 | 1,424.63 | 6.4 | 14.21 |
| Mato Grosso | 9,328 | 2 | 41,813,431.57 | 2 | 4,482.57 | 7.1 | 19.83 | 5,813 | 2 | 8,298,784.8 | 2 | 1,427.63 | 6.0 | 10.87 |
| Goiás | 16,100 | 3 | 70,691,166.46 | 3 | 4,390.76 | 6.5 | 18.8 | 10,795 | 3 | 18,489,557.09 | 4 | 1,712.79 | 6.1 | 12.24 |
| Distrito Federal | 9,371 | 2 | 37,349,289.31 | 2 | 3,985.62 | 8.9 | 15.68 | 3,940 | 1 | 6,748,941.44 | 1 | 1,712.93 | 8.4 | 8.88 |
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| Total | 462,149 | 100 | 2,248,011,968.44 | 100 | 4,864.26 | 8.2 | 21.42 | 348,319 | 100 | 456,339,261.8 | 100 | 1,310.12 | 6.6 | 13.57 |
Source: Own elaboration, based on data from SIH-SUS.
a Hospitalizations of patients with COVID-19 registered with procedure code 03.03.01.022-3, compliant with Ordinance No. 245 of March 24, 2020 and Technical Guidelines for SIH-SUS operationalization during the coronavirus state of public health emergency published on August 13, 2020 by the Ministry of Health.
b Hospitalizations of patients registered on the Inpatient Hospital Authorization (IHA) with procedure code 03.03.14.015-1.
c Amount for the IHAs approved in the period. This amount does not necessarily correspond to the sum allocated to the establishment – depending on the situation of the units, they receive budgetary resources or there may be withholdings and incentive payments, not presented here. This amount should, therefore, be considered as the approved production sum.
d Average cost per hospitalization in the Unified Health System (SUS), by specialty, in a given geographical space, in the period considered.
e Average length of stay for approved IHA, computed as hospitalizations, in the period.
f Ratio between the number of deaths and the number of approved IHA, computed as hospitalizations, in the period, multiplied by 100.