Drug and alcohol dependence · 2019
Employment recovery capital in the treatment of substance use disorders: Six-month follow-up observations.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sahker Ethan, Ali Saba Rasheed, Arndt Stephan
Аннотация
BACKGROUND: Recovery capital represents client strengths associated with substance use disorder (SUD) recovery. Employment is part of recovery capital supporting long-term recovery. However, specific employment recovery capital (ERC) factors associated with SUD recovery are not well understood.
METHODS: The present study used retrospective logistic regression modeling to predict treatment completion at discharge and substance use at six-month follow-up from employment variables at intake and follow-up. An additional exploratory follow-up of ERC Change is further investigated. Existing clinical data from a random selection of all Iowa SUD treatment facilities receiving public funding from 1999-2016. Clients in the study (N = 8,925) were a mean age of 31.7 (SD = 11.8), mostly male (67.2%), and primarily White (86.6%). Measurements included substance use, treatment completion, ERC Change, demographic, and treatment statistical control variables.
RESULTS: Results demonstrated that employment variables at intake predicted greater successful treatment completion, p < 0.0001. However, the same employment variables were predictive of maintained and increased use at six-month follow-up. Further investigation showed the best predictors of post-treatment recovery was a change in employment variables including months employed increase (AOR = 1.53, 95% CI = 1.34-1.75) and days missed from work due to substance use decrease (AOR = 2.43, 95% CI = 2.00-2.96).
CONCLUSIONS: Researchers and providers can help improve client recovery with intervention design, consultation, and policies focused on vocational growth in addition to employment benchmarks of gross income, full-time employment, occupation, primary support, months employed, and work missed. ERC is a promising route to improve the lives for those involved with substance use disorders.
METHODS: The present study used retrospective logistic regression modeling to predict treatment completion at discharge and substance use at six-month follow-up from employment variables at intake and follow-up. An additional exploratory follow-up of ERC Change is further investigated. Existing clinical data from a random selection of all Iowa SUD treatment facilities receiving public funding from 1999-2016. Clients in the study (N = 8,925) were a mean age of 31.7 (SD = 11.8), mostly male (67.2%), and primarily White (86.6%). Measurements included substance use, treatment completion, ERC Change, demographic, and treatment statistical control variables.
RESULTS: Results demonstrated that employment variables at intake predicted greater successful treatment completion, p < 0.0001. However, the same employment variables were predictive of maintained and increased use at six-month follow-up. Further investigation showed the best predictors of post-treatment recovery was a change in employment variables including months employed increase (AOR = 1.53, 95% CI = 1.34-1.75) and days missed from work due to substance use decrease (AOR = 2.43, 95% CI = 2.00-2.96).
CONCLUSIONS: Researchers and providers can help improve client recovery with intervention design, consultation, and policies focused on vocational growth in addition to employment benchmarks of gross income, full-time employment, occupation, primary support, months employed, and work missed. ERC is a promising route to improve the lives for those involved with substance use disorders.