Long-Term Post-Discharge Follow-up in Addictions

A longitudinal dataset tracks 286 participants discharged from addiction treatment at Fundación Instituto Spiral in Spain between 1993 and 2022. It contains demographic, treatment, and follow-up data on personal and environmental factors linked to addiction status and relapse risk. The data was used to analyze the effect of factors like mental health and treatment duration on long-term recovery outcomes.

Use Cases

• Modeling relapse risk over time based on treatment duration and discharge status.
• Analyzing the association between addiction status and measures of occupational, legal, and social functioning.
• Studying the long-term impact of personal and environmental factors on recovery from chemical dependency.
• Conducting survival analysis on time-to-relapse after discharge from a treatment program.

Strengths

• Long-term longitudinal coverage, with participants discharged over a 29-year period (1993-2022).
• Clinical assessment of addiction status was performed by trained clinicians alongside patient self-report.
• Data collection combined structured medical records with a standardized follow-up questionnaire (DARP-M-2023).

Limitations

• The dataset has a low response rate, and differences between respondents and non-respondents may introduce bias.
• Column names and the exact row count are not provided, limiting understanding of the data structure.
• The total size (26393) is given, but its unit (likely bytes) and relation to the 286 participants is unclear.

Provenance

Source

Fundación Instituto Spiral, Spain.

Collection Method

Stratified random sampling by time since discharge; data from medical records and a telephone-administered follow-up questionnaire.

Time Range

1993 to 2022 (discharge dates). Follow-up period extends beyond 2022.

Freshness

Last updated on 2026-03-18.

Geography

Spain.