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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