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Table 7 Policy impact estimation on Stay in Days (Neg. Binomial - IRR), from April 2016 to October 2017 (with controls)

From: Co-payments and equity in care: enhancing hospitalisation policy for Palestine refugees in Lebanon

 

Length of Stay

 

(1)

(2)

(3)

Policy

0.995

0.988

0.990

 

(0.026)

(0.025)

(0.038)

Private hospital

 

1.441***

1.441***

  

(0.132)

(0.132)

Public hospital

 

1.423***

1.423***

  

(0.188)

(0.189)

Public hospital x Policy

 

1.037

1.037

  

(0.057)

(0.057)

Private hospital x Policy

 

1.023

1.023

  

(0.122)

(0.123)

Age

0.987***

0.988***

0.988***

 

(0.003)

(0.003)

(0.003)

Age2

1.000***

1.000***

1.000***

 

(0.000)

(0.000)

(0.000)

Woman

0.967**

0.971**

0.971**

 

(0.013)

(0.012)

(0.012)

Ramadan

0.981

0.974

0.926

 

(0.022)

(0.022)

(0.053)

Distance

1.014*

1.018***

1.018***

 

(0.009)

(0.004)

(0.004)

Visit

1.028***

1.026***

1.027***

 

(0.009)

(0.009)

(0.009)

Surgery

0.714***

0.726***

0.726***

 

(0.062)

(0.064)

(0.064)

Region FE

Yes

Yes

Yes

Month FE

  

Yes

Constant

1.947***

1.440***

1.470***

 

(0.256)

(0.133)

(0.165)

Observations

33,469

33,469

33,469

Mean value (days)

2.362

  1. 1*** p<0.01, ** p<0.05, * p<0.1. Robust standard errors in parentheses
  2. 2Note: Coefficients show Incidence Rate Ratios (IRR) for a negative binomial regression results. Standard errors clustered by hospital in parentheses. Policy is a dummy variable that indicates the period after the last policy change (from June 2016 onward). This model specification controls for individual and hospital specific variables
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BMC Health Services Research

ISSN: 1472-6963

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