Table 4 Association between hospital clusters and number of medical disputes.

From: A taxonomy of Chinese hospitals and application to medical dispute resolutions

 

(1)

(2)

(3)

(4)

(5)

Total disputes

Medical malpractice

Third-party mediation

Administrative mediation

Negotiation

Mean

2.51

0.22

0.52

0.22

1.55

SD

7.68

1.43

2.14

0.96

5.76

Diverse

10.67#

(6.58, 17.32)

15.53#

(4.93, 48.90)

11.81#

(5.26, 26.51)

8.16#

(3.50, 19.03)

9.62#

(5.35, 17.32)

Lengthy

4.06*

(1.22, 13.54)

2.63

(0.24, 29.38)

0.46

(0.07, 3.00)

14.43+

(2.90, 71.80)

4.25*

(1.12, 16.06)

Private non-profit

0.68

(0.33, 1.43)

0.16

(0.02, 1.31)

0.22*

(0.06, 0.80)

0.46

(0.10, 2.02)

0.78

(0.32, 1.88)

Private for-profit

0.67

(0.37, 1.23)

1.54

(0.53, 4.44)

0.34

(0.12, 1.00)

1.27

(0.45, 3.59)

0.57

(0.26, 1.22)

Beds

1.01

(0.93, 1.09)

1.00

(0.89, 1.14)

1.18*

(1.03, 1.34)

0.95

(0.85, 1.05)

1.00

(0.92, 1.09)

Physicians

1.01#

(1.00, 1.01)

1.01*

(1.00, 1.01)

1.00

(1.00, 1.00)

1.01#

(1.00, 1.01)

1.01#

(1.00, 1.01)

Operating years

1.02#

(1.01, 1.03)

1.01*

(1.00, 1.03)

1.01+

(1.00, 1.02)

1.01

(1.00, 1.03)

1.02#

(1.01, 1.03)

  1. Incidence rate ratios (IRRs) are reported; 95% confidence intervals (CIs) are in parentheses. All the regressions controlled for GDP per capita, urbanization rate, and population as well as a traditional Chinese medicine hospital dummy and a specialty hospital dummy. Number of beds were measured in units of 100 in the models. The standard errors were clustered at the county level.
  2. *p < 0.05, +p < 0.01, and #p < 0.001.
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