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Table 4 Sensitivity analyses on NIS sample (Coefficients of opt-out variable)

From: Assessing the impact of state “opt-out” policy on access to and costs of surgeries and other procedures requiring anesthesia services

 

Total number of surgical discharges

Log Total number of surgical discharges

Mean costs per surgical case

Log Mean costs per surgical case

Main model

39.78

0.0529

1815.3***

0.0840*

 

(0.62)

(1.08)

(3.76)

(2.43)

Subgroup analysis

 Early opt-outa vs control

103.9

0.0741

644.5

0.0183

 

(1.50)

(1.50)

(1.42)

(0.50)

 Late opt-outb vs control

−185.4

0.0234

2461.0***

0.120*

 

(−1.14)

(0.29)

(4.42)

(2.38)

 opt-out variable * late opt-outc

−279.9

−0.0687

2202.9**

0.130*

 

(−1.87)

(−1.16)

(3.09)

(2.38)

Alternative definitions of surgical case

 Removing cases age <18 out of total surgical discharges

39.91

0.0410

1833.5**

0.0784*

 

(0.61)

(0.98)

(3.41)

(2.28)

 Removing all transplant DRGs and any craniotomy DRGs

38.84

0.0535

1757.2***

0.0831*

 

(0.61)

(1.09)

(3.75)

(2.39)

 Include only hip and knee surgery procedures

24.12

0.00109

494.1

0.0292

 

(1.55)

(0.03)

(0.63)

(1.27)

Using partial covariates

 Exclude hospital characteristics

33.71

0.0477

1839.3***

0.0762*

 

(0.56)

(1.08)

(4.08)

(2.72)

 Exclude hospital characteristics and county variables

6.887

0.0364

1903.8**

0.0637*

 

(0.12)

(0.70)

(3.06)

(2.10)

 Exclude hospital variables, county variables and t-1 year variables

−110.4*

−0.0561

1977.9**

0.0709***

 

(−2.03)

(−1.18)

(2.91)

(4.71)

  1. Notes: Costs were in 2011 dollar adjusted by hospital and related services CPI; *p < 0.05; **p < 0.01; ***p < 0.001
  2. aEarly opt out =1 for those hospitals in states opt out between 2001 and 2005 (i.e. IA, MN, NE, NH, NM, AK, KS, ND, OR, WA, MT, SD, WI)
  3. bLate opt out =1 for those hospitals in states opt out between 2009 and 2010 (i.e. CA, CO)
  4. cThis is the coefficient for the interaction term between opt-out variable and late opt out variable. The model was conducted on whole sample to test whether state opt out in recent year had different impact on outcomes comparing those opt out in early year