Skip to main content

Table 4 Multilevel weighted regression estimates for use of preventive and curative care.

From: Assessing the context of health care utilization in Ecuador: A spatial and multilevel analysis

 

Use of preventive carea

Curative Care Visits

  

First health problema

Second health problema, b

Parameters

Constant

-2.161

-1.457

-4.470

Provider measures

   

   Public practice physicians

0.044 (0.035)

  

   Private practice physicians

 

0.034 (0.007)***

0.042 (0.013)***

   Public practice health personnel

0.009 (0.006)

-0.015 (0.002)***

-0.018 (0.005)***

   Private practice health personnel

-0.010 (0.009)

  

Predisposing factors

   

   Age

-0.015 (0.002)***

0.003 (0.002)

0.017 (0.003)***

   Female

0.314 (0.042)**

0.114 (0.030)***

0.273 (0.046)***

   Indigenous

-0.238 (0.196)

-0.385 (0.080)***

 

   Other ethnicity

0.140 (0.074)*

-0.266 (0.077)***

 

   Living w/partner

0.024 (0.070)

-0.212 (0.074)***

-0.074 (0.113)

   Separated/divorced

-0.182 (0.135)

-0.055 (0.057)

-0.004 (0.122)

   Widow

0.223 (0.088)**

0.076 (0.062)

0.378 (0.146)**

   Single

-0.217 (0.061)***

-0.281 (0.055)***

-0.347 (0.069)***

Enabling factors

   

   Rural

-0.079 (0.164)

-0.280 (0.086)***

-0.443 (0.127)***

   Assets quintile 1

-0.918 (0.115)***

-0.059 (0.106)

 

   Assets quintile 2

-0.443 (0.100)***

0.114 (0.126)

 

   Assets quintile 3

-0.235 (0.068)***

0.147 (0.094)

 

   Assets quintile 4

-0.249 (0.053)***

0.143 (0.065)**

 

   Consumption quintile 1

-0.710 (0.100)***

-0.497 (0.056)***

 

   Consumption quintile 2

-0.585 (0.088)***

-0.295 (0.046)***

 

   Consumption quintile 3

-0.434 (0.072)***

-0.221 (0.052)***

 

   Consumption quintile 4

-0.182 (0.078)**

-0.100 (0.049)**

 

   No education

0.697 (0.081)***

1.211 (0.073)***

1.036 (0.201)***

   Elementary school

-0.021 (0.074)

0.473 (0.054)***

0.460 (0.152)***

   High school

0.033 (0.067)

0.184 (0.033)***

0.136 (0.157)

   Doesn't know/answer

0.087 (0.572)

-0.218 (0.458)

0.741 (0.829)

   Uninsured

-0.425 (0.059)***

-0.279 (0.033)***

-0.346 (0.072)***

Need

   

   One health problem

-0.038 (0.035)

N/A

N/A

   Two health problems

0.113 (0.084)

N/A

N/A

Interaction terms

   

   Public practice physicians * Rural

-0.035 (0.025)

  

   Private practice physicians * Rural

 

-0.013 (0.007)*

-0.017 (0.013)

   Public practice health personnel * Rural

0.018 (0.005)***

0.008 (0.003)***

0.006 (0.006)

   Private practice health personnel * Rural

-0.010 (0.009)

  

Random parameters

   

   Level 4: province/region

0.031 (0.016)*

0.016 (0.007)**

0.117 (0.086)

   Level 3: census segment

0.081 (0.025)***

0.071 (0.012)***

0.161 (0.056)***

   Level 2: household

2.351 (0.452)***

0.661 (0.062)***

1.941 (1.281)

  1. * p < 0.1, ** p < 0.05, *** p < 0.01. N/A = Not applicable.
  2. aA four-level binomial logit model (IGLS, MQL1) was run for each outcome. The final conditional model was fitted with health care need, predisposing and enabling factors as fixed effects, and random variance at the household, census segment and province/region levels. Interaction terms were included between the provider measures and urban/rural. Figures in parentheses represent the standard errors.
  3. bSince no significant variation was found at the household level in the non-conditional model, no predictors at this level were included in subsequent models.