Table 1 Costs* (mean, 95% confidence interval (CI)) for claims related to extreme bushfire periods vs. all other times in the study period.

From: Counting the costs of injury and disease to first responders as a result of extreme bushfires

 

Extreme bushfire period claims

Claims in all other periods

Mean

95% CI

Mean

95% CI

Ambulance officers

      

Income compensation costs

$20,881

[$15,210,

$26,551]

$13,788

[$12,922,

$14,655]

Hospital costs

$919

[$90,

$1,747]

$1,001

[$870,

$1,131]

Medical costs

$5,484

[$3,756,

$7,211]

$5,355

[$5,095,

$5,614]

Other costs

$10

[$5,

$16]

$423

[$168,

$678]

Total costs

$27,293

[$20,135,

$34,452]

$20,567

[$19,416,

$21,718]

Firefighters

      

Income compensation costs

$19,003

[$12,678,

$25,328]

$10,884

[$10,121,

$11,648]

Hospital costs

$1,285

[$628,

$1,942]

$1,482

[$1,308,

$1,656]

Medical costs

$5,885

[$4,448,

$7,322]

$5,103

[$4,512,

$5,695]

Other costs

$10,990

[-$2,701,

$24,681]†

$1,178

[$555,

$1,802]

Total costs

$37,163

[$20,150,

$54,176]

$18,648

[$17,274,

$20,022]

Police officers

      

Income compensation costs

$29,923

[$24,081,

$35,766]

$19,838

[$19,090,

$20,586]

Hospital costs

$1,024

[$559,

$1,489]

$1,224

[$1,122,

$1,326]

Medical costs

$6,469

[$5,445,

$7,492]

$6,661

[$6,463,

$6,860]

Other costs

$225

[-$19,

$469]

$540

[$325,

$755]

Total costs

$37,641

[$30,916,

$44,366]

$28,263

[$27,315,

$29,211]

Control sample

      

Income compensation costs

$16,074

[$14,283,

$17,865]

$12,503

[$12,254,

$12,753]

Hospital costs

$1,728

[$1,458,

$1,999]

$1,921

[$1,840,

$2,002]

Medical costs

$9,087

[$8,280,

$9,893]

$8,607

[$8,434,

$8,779]

Other costs

$1,509

[$243,

$2,776]

$1,761

[$1,547,

$1,976]

Total costs

$28,398

[$25,527,

$31,269]

$24,792

[$24,305,

$25,279]

  1. *Cost per claim is limited to a two-year follow-up period from the injury/disease onset date. †The confidence interval includes a negative lower limit, indicative of high variability in the data and/or sparsity: the negative lower limit doesn’t reflect negative values but rather the estimate’s wide uncertainty, which expands into the negative range.