Health Insurance and Treatment of Adolescents With Co-Occurring Major Depression and Substance Use Disorders

DiCola, Laura A.; Gaydos, Laura M.; Druss, Benjamin G.; Cummings, Janet R.

doi:10.1016/j.jaac.2013.06.012

Cited by 12 publications

(3 citation statements)

References 27 publications

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“…iDOVE’s study population reported high-risk characteristics (e.g., low socioeconomic status, high number of minority youth). These populations are traditionally difficult to engage in longitudinal preventive behavioral interventions (Bisgaier & Rhodes, 2011; DiCola, Gaydos, Druss, & Cummings, 2013; Owens et al, 2002), particularly when initiated in a nontraditional setting such as the ED (D’Onofrio et al, 2012). However, 96% of intervention participants responded to at least one automated daily text message, with participants actively engaging (as demonstrated by responses to daily SMS) on a mean of 86% of days.…”

Section: Discussionmentioning

confidence: 99%

Emergency department text messaging for adolescent violence and depression prevention: A pilot randomized controlled trial.

Ranney

Pittman

Dunsiger

et al. 2018

Psychological Services

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The purpose of this study was to evaluate feasibility and acceptability, obtain preliminary efficacy data, and evaluate predictors of improvement with iDOVE, a technology-augmented violence and depression prevention intervention for high-risk adolescents seen in the emergency department (ED). We conducted a pilot randomized controlled trial with 116 English speaking adolescents (ages 13 to 17), presenting to the ED for any reason, who reported past-year physical peer violence and current depressive symptoms. The CBT- and MI-based intervention consisted of a brief in-ED intervention session and 8 weeks of automated text-message daily mood queries and tailored responses. The control was a brief in-ED presentation and twice-weekly text messages on healthy behaviors. Follow-up was conducted at 8 and 16 weeks. Descriptive statistics, bivariate comparisons, mixed effects longitudinal regression models, and latent class models were calculated. iDOVE had high acceptability and feasibility, with 86% of eligible youth consenting (n=116), 95% completing 8-week follow-up, and 91% completing 16-week follow-up. High quantitative and qualitative satisfaction was reported by participants in both intervention and control groups. Comparing intervention to control, improved depressive symptoms (p=0.07) and physical peer violence (p=0.01) were observed among the more symptomatic youth in the intervention group (but no difference in symptoms between the full intervention and control groups). Latent class modeling showed that intervention responsiveness correlated with lower mood (measured through daily text-messages) at day 7 of the intervention. This randomized control trial of a technology-augmented intervention shows high feasibility and acceptability, and a promising signal of reduced violence among the highest-risk participants.

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Section: Discussionmentioning

confidence: 99%

Emergency department text messaging for adolescent violence and depression prevention: A pilot randomized controlled trial.

Ranney

Pittman

Dunsiger

et al. 2018

Psychological Services

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“…(14, 15) Although multi-session therapeutic interventions effectively decrease depressive symptoms and associated risk behaviors (e.g., substance use, violence) among at-risk youth,(16) these treatments are generally not accessible or feasible for these youth. (9, 17) The ED therefore represents a unique opportunity to reach youth with limited social, material, and institutional resources. (18, 19)…”

Section: Introductionmentioning

confidence: 99%

Effects of a brief ED-based alcohol and violence intervention on depressive symptoms

Ranney

Goldstick

Eisman

et al. 2017

General Hospital Psychiatry

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Objective Depressive symptoms frequently co-exist in adolescents with alcohol use and peer violence. This paper’s purpose was to examine the secondary effects of a brief alcohol-and-violence-focused ED intervention on depressive symptoms. Method Adolescents (ages 14–18) presenting to an ED for any reason, reporting past year alcohol use and aggression, were enrolled in a randomized control trial (control, therapist-delivered brief intervention [TBI], or computer-delivered brief intervention [CBI]). Depressive symptoms were measured at baseline, 3, 6, and 12 months using a modified 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Poisson regression was used (adjusting for baseline age, gender, and depressive symptoms) to compare depressive symptoms at follow-up. Results Among 659 participants, higher baseline depressive symptoms, female gender, and age >16 were associated with higher depressive symptoms over time. At 3 months, CBI and TBI groups had significantly lower CESD-10 scores than the control group; at 6 months, intervention and control groups did not differ; at 12 months, only CBI had a significantly lower CESD-10 score than control. Conclusions A single-session brief ED-based intervention focused on alcohol use and violence also reduces depressive symptoms among at-risk youth. Findings also point to the potential efficacy of using technology in future depression interventions.

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“…There are several individual and contextual predictors of hospital admissions for DA, such as ethnicity (Leao et al, 2006; Patterson et al, 1999), socioeconomic factors (Kendler et al, 2012), having health care insurance (DiCola et al, 2013; Santora and Hutton, 2008) and neighborhood characteristics (Kendler et al, 2013a; Sundquist and Frank, 2004). However, individual and contextual DA risk factors may exert different levels of influence in different time periods.…”

Section: Introductionmentioning

confidence: 99%

Age, period and cohort trends in drug abuse hospitalizations within the total Swedish population (1975–2010)

Giordano

Kendler

Winkleby³

et al. 2014

Drug and Alcohol Dependence

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Background: The societal consequences of drug abuse (DA) are severe and well documented, the World Health Organization recommending tracking of population trends for effective policy responses in treatment of DA and delivery of health care services. However, to correctly identify possible sources of DA change, one must first disentangle three different time-related influences on the need for treatment due to DA: age effects, period effects and cohort effects. Methods: We constructed our main Swedish national DA database (spanning four decades) by linking healthcare data from the Swedish Hospital Discharge Register to individuals, which included hospitalisations in Sweden for 1975-2010. All hospitalized DA cases were identified by ICD codes. Our Swedish national sample consisted of 3,078,129 men and 2,921,816 women. We employed a cross-classified multilevel logistic regression model to disentangle any net age, period and cohort effects on DA hospitalization rates. Results: We found distinct net age, period and cohort effects, each influencing the predicted probability ofhospitalisation for DA in men and women. Peak age for DA in both sexes was 33-35 years; net period effects showed an increase in hospitalisation for DA from 1996 to 2001; and in birth cohorts 1968-74, we saw a considerable reduction (around 75%) in predicted probability of hospitalisation for DA. Conclusions: The use of hospital admissions could be regarded as a proxy of the population's health service use for DA. Our results may thus constitute a basis for effective prevention planning, treatment and other appropriate policy responses.

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Health Insurance and Treatment of Adolescents With Co-Occurring Major Depression and Substance Use Disorders

Cited by 12 publications

References 27 publications

Emergency department text messaging for adolescent violence and depression prevention: A pilot randomized controlled trial.

Emergency department text messaging for adolescent violence and depression prevention: A pilot randomized controlled trial.

Effects of a brief ED-based alcohol and violence intervention on depressive symptoms

Age, period and cohort trends in drug abuse hospitalizations within the total Swedish population (1975–2010)

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