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. 2021 Mar 2;23(3):e26997. doi: 10.2196/26997

Table 2.

General results of the multinomial logit model. Data on propensity score–matched respondents’ preferences for diagnosis attributes in 2017 and 2020 are reported (N=528).

Attributes and levels 2017 group 2020 group

Effect coefficient P value Odds ratio (95% CI) Effect coefficient P value Odds ratio (95% CI)
Diagnosis method

Clinician −0.15 <.001 Reference −0.05 .12 Reference

Artificial intelligence and clinician 0.35 <.001 1.64 (1.535-1.763) 0.36 <.001 1.51 (1.413-1.621)

Artificial intelligence −0.20 <.001 0.95 (0.885-1.016) −0.31 <.001 0.78 (0.725-0.833)
Outpatient waiting time (minutes)

0 0.31 <.001 Reference 0.15 .01 Reference

20 0.12 .03 0.82 (0.741-0.914) 0.26 <.001 1.12 (1.013-1.245)

40 −0.03 .57 0.71 (0.639-0.789) −0.02 .72 0.85 (0.762-0.942)

60 −0.08 .12 0.67 (0.606-0.748) −0.20 <.001 0.71 (0.640-0.788)

80 −0.31 <.001 0.54 (0.482-0.595) −0.20 <.001 0.71 (0.640-0.789)
Diagnosis time (minutes)

0 0.05 .19 Reference −0.02 .57 Reference

15 −0.07 .06 0.89 (0.834-0.957) −0.01 .83 1.01 (0.946-1.084)

30 0.02 .53 0.98 (0.912-1.046) 0.03 .43 1.05 (0.980-1.122)
Diagnosis accuracy (% accuracy)

60 −0.83 <.001 Reference −0.83 <.001 Reference

70 −0.35 <.001 1.62 (1.458-1.802) −0.41 <.001 1.52 (1.365-1.684)

80 0.07 .16 2.47 (2.235-2.737) −0.02 .72 2.25 (2.033-2.487)

90 0.32 <.001 3.18 (2.867-3.526) 0.43 <.001 3.51 (3.169-3.891)

100 0.79 <.001 5.04 (4.534-5.609) 0.83 <.001 5.26 (4.734-5.852)
Follow-up after diagnosis

Yes 0.20 <.001 Reference 0.19 <.001 Reference

No −0.20 <.001 0.67 (0.620-0.698) −0.19 <.001 0.69 (0.656-0.715)
Diagnosis expenses (¥a)

0 0.42 <.001 Reference 0.36 <.001 Reference

50 0.28 <.001 0.87 (0.769-0.976) 0.23 <.001 0.88 (0.782-0.989)

100 −0.01 .82 0.65 (0.576-0.730) 0.18 <.001 0.83 (0.738-0.935)

150 0.03 .66 0.67 (0.599-0.760) −0.06 .30 0.65 (0.580-0.736)

200 −0.24 <.001 0.52 (0.459-0.585) −0.19 <.001 0.58 (0.510-0.648)

250 −0.47 <.001 0.41 (0.363-0.465) −0.52 <.001 0.41 (0.366-0.468)

aA currency exchange rate of ¥1=US $0.16 is applicable.