Skip to main content

Table 2 Results of DiD analysis

From: The 2010 expansion of activity-based hospital payment in Israel: an evaluation of effects at the ward level

DiD coefficient (δ)

lndis

lnALoS

Model 1

Model 2

Model 1

Model 2

Estimate δ

(CI)

Estimate δ

(CI)

Estimate δ

(CI)

Estimate δ

(CI)

Wave1*period1

0.068

(− 0.011

0.147)

0.068

(− 0.011

0.147)

0.017

(− 0.014

0.048)

0.017

(− 0.014

0.048)

Wave1*period2

0.026

(− 0.141

0.193)

0.026

(− 0.141

0.193)

−0.001

(− 0.087

0.084)

− 0.001

(− 0.087

0.084)

Wave2*period2

−0.097

(− 0.291

0.097)

   

− 0.055

(− 0.141

0.030)

   

General surgery*period2

   

−0.030

(−0.194

0.134)

   

−0.043

(− 0.126

0.039)

urology*period2

   

0.030

(−0.103

0.164)

   

−0.063

(−0.139

0.012)

Ophthalmology*period2

   

−0.151

(−0.307

0.005)

   

−0.025

(− 0.105

0.054)

head neck*period2

   

−0.239*

(−0.409

− 0.070)

   

−0.086*

(− 0.168

−0.004)

R Square

0.48

  

0.59

  

0.47

  

0.51

  

Number of cases

1828

  

1828

  

1828

  

1828

  

number of hospitals

29

  

29

  

29

  

29

  
  1. Notes: lndis = natural logarithm of number of discharges, lnALoS = natural logarithm of average length of stay, wave 1 = orthopedics, wave 2 = general surgery, urology, \’/ ophthalmology, head and neck surgery; period 1 = 2011–2013; period 2 = 2014–2015; CI = 95% Confidence Interval in parenthesis; *p < 0.05; **p < 0.01. Regression OLS, clustered by ward. ALoS were weighted by ward size. Model 1 includes reform waves as predictors, model 2 includes each ward separately as predictors