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Table 3 Chi-square test for differences in responses among study survey respodents

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

  N-SSATS Study Survey p-value
N % N %
Treatment Services
 Substance Abuse Treatment*      0.0595
  Yes 63 100.0% 59 93.7%  
  No 0 0.0% 4 6.3%  
 Provides Outpatient MAT Treatment      0.8232
  Yes 13 20.6% 12 19.1%  
  No 50 79.4% 51 80.9%  
 Medication Management for MAT      0.0679
  Yes 5 7.9% 12 19.1%  
  No 58 92.1% 51 80.9%  
 Case Management      0.4375
  Yes 46 73.0% 42 66.7%  
  No 17 27.0% 21 33.3%  
 Prescribes or Administers Buprenorphine      0.0233
  Yes 3 4.8% 11 17.5%  
  No 60 95.2% 52 82.5%  
 Group Counseling*      < 0.0001
  Yes 60 95.2% 30 47.6%  
  No 3 4.8% 33 52.4%  
Supplemental Services
 Health Screening      < 0.0001
  Yes 48 79.2% 24 38.1%  
  No 15 23.8% 39 61.9%  
 Health Education      < 0.0001
  Yes 12 19.1% 47 74.6%  
  No 51 80.9% 16 25.4%  
 Aftercare/Continuing Care      0.3914
  Yes 51 81.0% 47 74.6%  
  No 12 19.0% 16 25.4%  
Payment Methods Accepted
Medicaid      0.4592
  Yes 38 60.3% 42 66.7%  
  No 25 39.7% 21 33.3%  
Private Insurance      1.000
  Yes 48 76.2% 48 76.2%  
  No 15 23.8% 15 23.8%  
Sliding Fee Scale      < 0.0001
  Yes 27 42.9% 52 82.5%  
  No 36 57.1% 11 17.5%  
  Self-Pay      0.0006
  Yes 61 96.8% 47 74.6%  
  No 2 3.2% 16 25.4%  
  1. * Indicates where p-value for the Fisher Exact Test was used due to one or more classes having less than 5 observations
  2. Table 3 provides a summary of the chi-square test for differences in responses to parallel questions included in the N-SSATS and the study survey among study survey respondents. The first column outlines the variables included in the chi-square analysis. The second column provides the counts and distribution of respondent answers to the N-SSATS questions, and the third column provides the counts and the distribution of respondent answers to the study survey. The last column provides the p-value from the chi-square analysis. Fisher’s exact test was used in instances in which counts for a specific crosstab was less than 5