scholarly journals The Cost-Effectiveness of Cognitive Behavioral Therapy Versus Second-Generation Antidepressants for Initial Treatment of Major Depressive Disorder in the United States

2019 ◽  
Vol 171 (11) ◽  
pp. 785 ◽  
Author(s):  
Eric L. Ross ◽  
Sandeep Vijan ◽  
Erin M. Miller ◽  
Marcia Valenstein ◽  
Kara Zivin
2012 ◽  
Vol 26 (4) ◽  
pp. 235-241
Author(s):  
David A. Sclar ◽  
Linda M. Robison ◽  
Lawrence J. Cohen ◽  
Kimberly K. Laubmeier ◽  
Iftekhar D. Kalsekar ◽  
...  

SLEEP ◽  
2020 ◽  
Author(s):  
Michael Darden ◽  
Colin A Espie ◽  
Jenna R Carl ◽  
Alasdair L Henry ◽  
Jennifer C Kanady ◽  
...  

Abstract Study Objectives To examine the cost-effectiveness and potential net monetary benefit (NMB) of a fully automated digital cognitive behavioral therapy (CBT) intervention for insomnia compared with no insomnia treatment in the United States (US). Similar relative comparisons were made for pharmacotherapy and clinician-delivered CBT (individual and group). Methods We simulated a Markov model of 100,000 individuals using parameters calibrated from the literature including direct (treatment) and indirect costs (e.g. insomnia-related healthcare expenditure and lost workplace productivity). Health utility estimates were converted into quality-adjusted life years (QALYs) and one QALY was worth $50,000. Simulated individuals were randomized equally to one of five arms (digital CBT, pharmacotherapy, individual CBT, group CBT, or no insomnia treatment). Sensitivity was assessed by bootstrapping the calibrated parameters. Cost estimates were expressed in 2019 US dollars. Results Digital CBT was cost beneficial when compared with no insomnia treatment and had a positive NMB of $681.06 (per individual over 6 months). Bootstrap sensitivity analysis demonstrated that the NMB was positive in 94.7% of simulations. Relative to other insomnia treatments, digital CBT was the most cost-effective treatment because it generated the smallest incremental cost-effectiveness ratio (−$3,124.73). Conclusions Digital CBT was the most cost-effective insomnia treatment followed by group CBT, pharmacotherapy, and individual CBT. It is financially prudent and beneficial from a societal perspective to utilize automated digital CBT to treat insomnia at a population scale.


SLEEP ◽  
2008 ◽  
Vol 31 (4) ◽  
pp. 489-495 ◽  
Author(s):  
Rachel Manber ◽  
Jack D. Edinger ◽  
Jenna L. Gress ◽  
Melanie G. San Pedro-Salcedo ◽  
Tracy F. Kuo ◽  
...  

2010 ◽  
Vol 13 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Qiuhua Shen ◽  
Sandra Bergquist-Beringer ◽  
Valmi D. Sousa

Objective: The association between depression and insulin resistance has been evaluated in previous studies with conflicting results. This study aimed to explore the relationship between major depressive disorder (MDD) and insulin resistance among nondiabetic young adult men and women in the United States. Method: Analyses of cross-sectional data from the National Health and Nutrition Examination Survey (NHANES), 1999—2002, were conducted. The nationally representative sample consisted of 279 men and 358 women aged 20—39 years. MDD was determined by the WHO Composite International Diagnostic Interview (CIDI). Insulin resistance was measured by the homeostasis model assessment for insulin resistance. Results: Of 637 subjects, 16 men and 18 women had MDD (weighted percentage = 6.6%, SE = 1.2). Using logistic regression, no significant association was found between MDD and insulin resistance among the nondiabetic young adults in bivariate analysis (β = -0.01, OR = 0.99, 95% CI = [0.38, 2.57], p = .98). A significant interaction effect between gender and MDD was observed. For men, MDD was negatively associated with insulin resistance after adjusting for age, race/ethnicity, waist circumference, smoking status, systolic blood pressure and triglyceride level (β = -2.12, OR = 0.12, 95% CI = [0.02, 0.62], p = .01). No significant association between MDD and insulin resistance among women was found (β = 0.61, OR = 1.84, 95% CI = [0.47, 7.14], p = .38). Conclusions: Overall findings suggest there is no significant association between MDD and insulin resistance among nondiabetic young adults aged 20—39 years. However, gender differences in this relationship were noted.


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