Predictors of methadone program non-retention for opioid analgesic dependent patients
Journal of Substance Abuse Treatment, 05/07/2012Cox J et al.
Understanding predictors of specific loss to follow–up outcomes may help methadone maintenance treatment programs improve patient retention.
Data were collected using the Addiction Severity Index Lite.
The probability of loss to follow-up was evaluated using a time-to-event analysis.
Involuntary and voluntary program discharges were treated separately as the outcomes of interest.
Multivariate Cox proportional hazards models were used to explore the role of various patient-related attributes.
The probabilities of involuntary and voluntary discharges at 1 year were 20% and 14%, respectively.
In this exploratory analysis, determinants of loss to follow-up were characteristics related to drug use history (e.g., use of sedatives) and its consequences (e.g., number of lifetime arrests), and differed for each outcome.
Some determinants of involuntary discharge were modified by sex.
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