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1 | 1 | # Data Exploration |
| 2 | + |
| 3 | +TEDS-A Sample Data Exploration |
| 4 | + |
| 5 | +This repository contains a sample of the Treatment Episode Admissions Data Set (TEDS-A) |
| 6 | +used for exploratory data analysis. |
| 7 | + |
| 8 | +The dataset includes 1,000 rows and 50 columns, representing a subset of the |
| 9 | +broader TEDS data used for demonstration and research purposes only. |
| 10 | + |
| 11 | +Exploration & Analysis |
| 12 | + |
| 13 | +## 1. Demographic & Background Exploration |
| 14 | + |
| 15 | +The dataset includes individuals from multiple regions, with the |
| 16 | +distribution across states showing noticeable variation. |
| 17 | + |
| 18 | +Region Distribution: |
| 19 | + |
| 20 | +- West: 307 individuals (30.7%) |
| 21 | +- Northeast: 261 (26.1%) |
| 22 | +- South: 243 (24.3%) |
| 23 | +- Midwest: 188 (18.8%) |
| 24 | + |
| 25 | +Education Level: |
| 26 | + |
| 27 | +- Grade 12/GED: 43.2% |
| 28 | +- Grades 9-11: 14.1% |
| 29 | +- 1-3 years college: 13.0% |
| 30 | +- Less than Grade 9: 4.5% |
| 31 | +- 4+ years college: 4.1% |
| 32 | + |
| 33 | +Conclusion: The dataset shows regional variation with the West most |
| 34 | +represented, and moderate educational attainment levels centered around |
| 35 | +high school completion. |
| 36 | + |
| 37 | +## 2. Population Characteristics |
| 38 | + |
| 39 | +Age Distribution: |
| 40 | + |
| 41 | +- Most common: 30-34 years (173 individuals) |
| 42 | +- 35-39 years: 151 individuals |
| 43 | +- 25-29 years: 143 individuals |
| 44 | + |
| 45 | +Concentration in adults aged 25-44 years. |
| 46 | + |
| 47 | +Gender Distribution: |
| 48 | + |
| 49 | +- Male: 64.3% |
| 50 | +- Female: 35.6% |
| 51 | + |
| 52 | +Race Distribution: |
| 53 | + |
| 54 | +- White: 59.2% |
| 55 | +- Black/African American: 19.9% |
| 56 | +- Other single race: 6.2% |
| 57 | +- American Indian: 3.7% |
| 58 | + |
| 59 | +Marital Status: |
| 60 | + |
| 61 | +- Never married: 49.2% |
| 62 | +- Divorced/widowed: 10.3% |
| 63 | +- Now married: 9.7% |
| 64 | + |
| 65 | + |
| 66 | +## 3. Substance Use Patterns |
| 67 | + |
| 68 | +Primary Substance: |
| 69 | + |
| 70 | +- Alcohol: 319 (31.9%) |
| 71 | +- Other opiates/synthetics: 119 (11.9%) |
| 72 | +- Heroin: 102 (10.2%) |
| 73 | +- Methamphetamine/speed: 98 (9.8%) |
| 74 | +- Marijuana/hashish: 82 (8.2%) |
| 75 | +- Cocaine/crack: 51 (5.1%) |
| 76 | + |
| 77 | +Substance Categories: |
| 78 | + |
| 79 | +- Alcohol: 31.9% |
| 80 | +- Opioids: 22.1% |
| 81 | +- Stimulants: 15.5% |
| 82 | +- Cannabis: 8.2% |
| 83 | + |
| 84 | +Years of Use: |
| 85 | + |
| 86 | +- Mean: 19.01 years |
| 87 | +- Median: 16 years |
| 88 | +- Range: 0-57 years |
| 89 | + |
| 90 | +Conclusion: Alcohol is the most common primary substance, followed by |
| 91 | +opioids and stimulants. Long duration of use (median 16 years) indicates |
| 92 | +chronic patterns. |
| 93 | + |
| 94 | + |
| 95 | +## 4. Treatment History Exploration |
| 96 | + |
| 97 | +Prior Treatment Episodes: |
| 98 | + |
| 99 | +- No prior treatment: 28.1% |
| 100 | +- One prior: 19.1% |
| 101 | +- Two prior: 12.0% |
| 102 | +- Three prior: 7.6% |
| 103 | +- Five or more prior: 17.1% |
| 104 | + |
| 105 | +Conclusion: Nearly 72% have prior treatment history, indicating chronic |
| 106 | +or recurring treatment patterns. |
| 107 | + |
| 108 | + |
| 109 | +### 5. Service Types & Access |
| 110 | + |
| 111 | +Service Type: |
| 112 | + |
| 113 | +- Non-intensive Outpatient: 52.2% |
| 114 | +- Detox 24hr Residential: 12.7% |
| 115 | +- Rehab Short-term (≤30 days): 12.1% |
| 116 | +- Intensive Outpatient: 12.0% |
| 117 | +- Rehab Long-term (>30 days): 6.7% |
| 118 | + |
| 119 | +Wait Time: |
| 120 | + |
| 121 | +- Same day: 72.7% |
| 122 | +- 1-7 days: 18.0% |
| 123 | +- 8-14 days: 4.1% |
| 124 | +- 15-30 days: 2.7% |
| 125 | + |
| 126 | +Referral Sources: |
| 127 | + |
| 128 | +- Self/Individual: 38.1% |
| 129 | +- Criminal justice/DUI/DWI: 20.5% |
| 130 | +- Alcohol/drug provider: 8.2% |
| 131 | +- Other healthcare: 6.9% |
| 132 | + |
| 133 | + |
| 134 | +### 6. Payment Sources |
| 135 | + |
| 136 | +Primary Payment: |
| 137 | + |
| 138 | +- Medicaid: 60.4% |
| 139 | +- Other government: 14.8% |
| 140 | +- Private insurance: 7.6% |
| 141 | +- Self-pay: 7.2% |
| 142 | +-  |
| 143 | + |
| 144 | +### 1. Substance Patterns by Service Type |
| 145 | + |
| 146 | +Alcohol users: |
| 147 | + |
| 148 | +- Non-intensive Outpatient: 38.6% |
| 149 | +- Detox 24hr Residential: 20.1% |
| 150 | +- Intensive Outpatient: 14.1% |
| 151 | + |
| 152 | +Opioid users: |
| 153 | + |
| 154 | +- Non-intensive Outpatient: 53.8% |
| 155 | +- Detox 24hr Residential: 15.4% |
| 156 | + |
| 157 | +Cannabis users: |
| 158 | + |
| 159 | +- Non-intensive Outpatient: 72.0% |
| 160 | + |
| 161 | +Conclusion: Service type varies by substance, with Cannabis users primarily |
| 162 | +in outpatient settings and Alcohol users utilizing more detox services. |
| 163 | + |
| 164 | + |
| 165 | +### 8. Key Correlations & Risk Factors |
| 166 | + |
| 167 | +Strongest Correlations: |
| 168 | + |
| 169 | +- Opioid primary <-> Injection use: 0.33 |
| 170 | +- Polysubstance <-> Injection use: 0.26 |
| 171 | +- Polysubstance <-> No income: 0.19 |
| 172 | +- Polysubstance <-> Homelessness: 0.15 |
| 173 | +- Homeless <-> No income: 0.14 |
| 174 | + |
| 175 | +Conclusion: Injection drug use, polysubstance patterns, and socioeconomic |
| 176 | +vulnerabilities are interconnected risk factors. |
| 177 | + |
| 178 | + |
| 179 | +### 9. Employment Patterns |
| 180 | + |
| 181 | +- Unemployed: large representation in Alcohol, Opioids, and Stimulants |
| 182 | + users |
| 183 | +- Not in labor force: significant numbers across all major substance |
| 184 | + categories |
| 185 | +- Full-time employed: present across all substance types |
| 186 | + |
| 187 | + |
| 188 | +### 10. Treatment History & Mental Health |
| 189 | + |
| 190 | +Among those with five or more prior episodes: |
| 191 | + |
| 192 | +- 88 without mental health disorder |
| 193 | +- 83 with mental health disorder |
| 194 | + |
| 195 | +Conclusion: Co-occurring mental health is common among individuals with |
| 196 | +chronic treatment patterns. |
| 197 | + |
| 198 | +Key Takeaways |
| 199 | + |
| 200 | +- Service concentration: Most admissions (52.2%) are to non-intensive |
| 201 | + outpatient programs with same-day access. |
| 202 | +- Substance profile: Alcohol dominates (31.9%), followed by opioids |
| 203 | + (22.1%) and stimulants (15.5%). |
| 204 | +- Chronic patterns: 72% have prior treatment history, with 17.1% having |
| 205 | + five or more episodes. |
| 206 | +- Vulnerable populations: Polysubstance users face higher rates of |
| 207 | + homelessness and income insecurity. |
| 208 | +- Co-occurring conditions: Mental health disorders common among those |
| 209 | + with multiple prior episodes. |
| 210 | +- Access pathways: Self-referral (38.1%) and criminal justice (20.5%) |
| 211 | + are primary entry points |
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