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Table 2 Difference in N-SSATS data based on study response status

From: Assessing public behavioral health services data: a mixed method analysis

 

Respondent

Non-Respondents

p-value

N

%

N

%

Total

63

224

 

Outpatient Services

    

0.7384

 Yes

59

93.7

207

92.4

 

 No

4

6.4

17

7.6

 

Hospital Setting

    

0.153

 Yes

2

3.2

205

91.5

 

 No

61

96.8

19

8.5

 

Residential

    

0.009

 Yes

6

9.5

4

1.8

 

 No

57

90.5

220

98.2

 

Medication Management

    

0.0524

 Yes

5

7.9

42

18.8

 

 No

58

92.1

182

81.3

 

MAT Services

    

0.0173

 Yes

13

20.6

82

36.6

 

 No

50

79.4

142

63.4

 

Screening Services

    

0.803

 Yes

48

67.2

174

77.7

 

 No

15

23.8

50

22.3

 

Rurality

    

0.3945

 Urban

53

79.1

163

72.8

 

 Rurality

15

22.1

61

27.2

 

IU Health Market Region

    

0.0064

 Bloomington

2

2.9

21

9.4

 

 Columbus

0

0

4

1.8

 

 Evansville

9

13.2

14

6.3

 

 Fort Wayne

6

8.8

25

11.2

 

 Indianapolis

16

23.5

43

19.2

 

 Lafayette

11

16.2

8

3.6

 

 Muncie

6

8.8

27

12.1

 

 Northwest

9

13.2

27

12.1

 

 South Bend

4

5.9

27

12.1

 

 Southeast

3

4.4

20

8.9

 

 Terre Haute

2

2.9

8

3.6

 
  1. Table 2 provides a summary of the chi-square test for non-response bias based on responses to the N-SSATS. Only N-SSATS data are used in this analysis. The first column outlines the variables included in the chi-square analysis. The second column provides the count and distribution of study survey respondent characteristics, and the third column provides the count and distribution of the non-respondents to the study survey. The last column provides the p-value from the chi-square analysis of each variable. Fisher’s exact test was used in instances in which counts for a specific crosstab was less than 5