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. 2018 Nov 6;1:36. doi: 10.1038/s41746-018-0045-1

Table 2.

Ability of FINDER to detect unsafe restaurants as compared to BASELINE rate and with subcategories of the baseline inspections, including complaint-based inspections that occurred in Chicago and routine inspections from both Chicago and Las Vegas

FINDER
n = 132
BASELINE
n = 10,786
Odds ratioa [95% CI] p-value
Overall, number unsafe (%) 69 (52.3%) 2662 (24.7%) 3.06 [2.14–4.35] <0.001
Risk level
High, number unsafe (%) 42 (50.0%) 1909 (33.5%) 1.98 [1.28–3.05] 0.002
Medium, number unsafe (%) 23 (59.0%) 536 (23.1%) 5.50 [2.83–10.72] <0.001
Low, number unsafe (%) 4 (44.4%) 217 (7.9%) 7.35 [1.79–30.13] 0.006
Comparison of FINDER to complaint-based inspections

FINDER

n = 71

COMPLAINT

n = 1291

Overall, number unsafe (%) 37 (52.1%) 508 (39.4%) 1.68 [1.04–2.71] 0.03
Risk level
High, number unsafe (%) 27 (47.4%) 374 (39.4%) 1.38 [0.81–2.36] 0.24
Medium, number unsafe (%) 9 (75.0%) 115 (39.3%) 4.64 [1.23–17.51] 0.02
Low, number unsafe (%) 1 (50.0%) 19 (38.8%) 1.58 [0.09–26.78] 0.75
Comparison of FINDER to routine inspections

FINDER

n= 132

ROUTINE

n= 9495

Overall, number unsafe (%) 69 (52.3%) 2,154 (22.7%) 3.16 [2.22–4.51] <0.001
Risk level
High, number unsafe (%) 42 (50.0%) 1531 (32.2%) 2.07 [1.35–3.20] 0.001
Medium, number unsafe (%) 23 (59.0%) 424 (20.9%) 5.52 [2.84–10.76] <0.001
Low, number unsafe (%) 4 (44.4%) 199 (7.3%) 7.65 [1.90–30.89] 0.004

aOdds ratios from binomial logistic regressions