42 research outputs found

    Treat depressed teens with medication and psychotherapy

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    Refer adolescents with moderate to severe depression for cognitive behavioral therapy (CBT) to improve their outcomes. Stength of recommendation: B: Two well-done randomized controlled trials (RCTs)

    Associations of depression status and hopelessness with breast cancer.

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    This study extended the literature by examining whether three profiles of depression predicted breast cancer status. In 1076 women of the Baltimore Epidemiologic Catchment Area study, depression status and hopelessness were measured at baseline and breast cancer status was ascertained 24 years later. Double depression, but not major depression or dysthymia, was associated with breast cancer. Hopelessness predicted fewer new cases of breast cancer. When double depression and hopelessness were simultaneously entered as predictors, the regression weights of both predictors increased. The role of severe and extended duration depression as well as possible explanations for unexpected findings are discussed

    Internal versus external motivation in referral of primary care patients with depression to an internet support group: randomized controlled trial

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    BACKGROUND: Depressive disorders and symptoms affect more than one-third of primary care patients, many of whom do not receive or do not complete treatment. Internet-based social support from peers could sustain depression treatment engagement and adherence. We do not know whether primary care patients will accept referral to such websites nor do we know which methods of referral would be most effective. OBJECTIVE: We conducted a randomized clinical trial to determine whether (1) a simple generic referral card (control), (2) a patient-oriented brochure that provided examples of online postings and experience (internal motivation), or (3) a physician letter of recommendation (external motivation) would generate the greatest participation in a primary care Internet depression treatment support portal focused around an Internet support group (ISG). METHODS: We used 3 offline methods to identify potential participants who had not used an ISG in the past 6 months. Eligibility was determined in part by a brief structured psychiatric interview based on the Patient Health Questionnaire-9 (PHQ-9). After consent and enrollment, participants were randomly assigned to 1 of 3 groups (control, internal motivation, or external motivation). We constructed a portal to connect primary care patients to both fact-based information and an established ISG (Psycho-Babble). The ISG allowed participants to view messages and then decide if they actually wished to register there. Participation in the portal and the ISG was assessed via automated activity tracking. RESULTS: Fifty participants were assigned to the 3 groups: a motivation-neutral control group (n=18), an internal motivation group (n=19), and an external motivation group (n=13). Of these participants, 31 (62%) visited the portal; 27 (54%) visited the ISG itself. The internal motivation group showed significantly greater participation than the control group on several measures. The external motivation group spent significantly less time logged onto the portal than the control group. The internal motivation group showed significantly greater participation than the external motivation group on several measures. CONCLUSIONS: Referral of primary care patients with depressive disorders and symptoms to an ISG is feasible even if they have never previously used one. This may best be accomplished by enhancing their internal motivation. TRIAL REGISTRATION: Clinicaltrials.gov: NCT00886730; http://clinicaltrials.gov/show/NCT00886730 (Archived by WebCite at http://www.webcitation.org/6F4981fDN)

    Prevention of Adolescent Depression in Primary Care: Barriers and Relational Work Solutions

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    Background and Purpose: Depression affects millions of adolescents in the United States each year. This population may benefit from targeted preventive interventions. We sought to understand the internal factors that affect the ability of healthcare organizations to implement an intervention that involves mental health screening and depression prevention treatment of at-risk adolescents in primary care settings. Methods: From November 2011 to July 2016 we conducted a study of the implementation of a multisite (N=30) phase 3 randomized clinical trial of an Internet-based depression prevention intervention program (CATCH-IT). We describe the prevalence of internal barriers on the screening and enrollment process by reporting REACH (the proportion of target audience exposed to the intervention). Results: A total of 369 adolescents were randomized into the intervention or control program. Mean REACH values for the study clinics were 0.216 for screening and 0.181 for enrollment to CATCH-IT. Mean REACH enrollment lost due to internal barriers was 0.233. This translated to 4,691 adolescents lost at screening and 2,443 adolescents lost at enrollment due to internal barriers. Conclusion: We propose a model of the implementation process that emphasizes the importance of positive relational work that assists in overcoming internal barriers to REACH. We also provide implications for policy and practice

    Adolescent Dose and Ratings of an Internet-Based Depression Prevention Program: A Randomized Trial of Primary Care Physician Brief Advice versus a Motivational Interview

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    Background—Internet-based interventions for education and behavior change have proliferated, but most adolescents may not be sufficiently motivated to engage in Internet-based behavior change interventions. We sought to determine how two different forms of primary care physician engagement, brief advice (BA) versus motivational interview (MI), could enhance participation outcomes in an Internet-based depression prevention intervention. Methods—Eighty-three adolescents at risk for developing major depression were recruited by screening in primary care and randomized to two groups: BA (1–2 minutes) + Internet program versus MI (10–15 minutes) + Internet program. We compared measures of participation and satisfaction for the two groups for a minimum of 12 months after enrollment. Results—Both groups engaged the site actively (MI: 90% versus BA: 78%, p=0.12). MI had significantly higher levels of engagement than BA for measures including total time on site (143.7 minutes versus 100.2 minutes, p=0.03), number of sessions (8.16 versus 6.00, p=0.04), longer duration of session activity on Internet site (46.2 days versus 29.34 days, p=0.04), and with more characters typed into exercises (3532 versus 2004, p=0.01). Adolescents in the MI group reported higher trust in their physician (4.18 versus 3.74, p=0.05) and greater satisfaction with the Internet- based component (7.92 versus 6.66, p=0.01). Conclusions—Primary care engagement, particularly using motivational interviewing, may increase Internet use dose, and some elements enhance and intensify adolescent use of an Internet- based intervention over a one to two month period. Primary care engagement may be a useful method to facilitate adolescent involvement in preventive mental health interventions

    Development of a technology-based behavioral vaccine to prevent adolescent depression: A health system integration model

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    Efforts to prevent depression have become a key health system priority. Currently, there is a high prevalence of depression among adolescents, and treatment has become costly due to the recurrence patterns of the illness, impairment among patients, and the complex factors needed for a treatment to be effective. Primary care may be the optimal location to identify those at risk by offering an Internet-based preventive intervention to reduce costs and improve outcomes. Few practical interventions have been developed. The models for Internet intervention development that have been put forward focus primarily on the Internet component rather than how the program fits within a broader context. This paper describes the conceptualization for developing technology based preventive models for primary care by integrating the components within a behavioral vaccine framework. CATCH-IT (Competent Adulthood Transition with Cognitive-behavioral, Humanistic and Interpersonal Training) has been developed and successfully implemented within various health systems over a period of 14 years among adolescents and young adults aged 13–24.☆☆Disclosures: Benjamin W. Van Voorhees has served as a consultant to Prevail Health Solutions, Inc., Mevident Inc., San Francisco and Social Kinetics, Palo Alto, CA, and the Hong Kong University to develop Internet-based interventions. In order to facilitate dissemination, the University of Chicago agreed to grant a no-cost license to Mevident Incorporated (3/5/2010) to develop a school-based version. Neither Dr. Van Voorhees nor the university will receive any royalties or equity. Dr. Van Voorhees agreed to assist the company in adapting the intervention at the rate of $1000/day for 5.5 days. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).*Corresponding author at: Department of Pediatrics, University of Illinois at Chicago, Children\u27s Hospital, University of Illinois Hospital & Health Sciences System, 840 South Wood Street (MC 856), Chicago, IL 60612-7324. HHS Public Access Author manuscript Internet Interv. Author manuscript; available in PMC 2018 November 21. Published in final edited form as: Internet Interv. 2015 September ; 2(3): 303–313. doi:10.1016/j.invent.2015.07.004. Autho

    Effect of Internet-Based Cognitive Behavioral Humanistic and Interpersonal Training vs Internet-Based General Health Education on Adolescent Depression in Primary Care

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    Importance: Although 13% to 20% of American adolescents experience a depressive episode annually, no scalable primary care model for adolescent depression prevention is currently available. Objective: To study whether competent adulthood transition with cognitive behavioral humanistic and interpersonal training (CATCH-IT) lowers the hazard for depression in at-risk adolescents identified in primary care, as compared with a general health education (HE) attention control. Design, Setting, and Participants: This multicenter, randomized clinical trial, a phase 3 single-blind study, compares CATCH-IT with HE. Participants were enrolled from 2012 to 2016 and assessed at 2, 6, 12, 18, and 24 months postrandomization in a primary care setting. Eligible adolescents were aged 13 to 18 years with subsyndromal depression and/or history of depression and no current depression diagnosis or treatment. Of 2250 adolescents screened for eligibility, 446 participants completed the baseline interview, and 369 were randomized into CATCH-IT (n = 193) and HE (n = 176). Interventions: The internet-based intervention, CATCH-IT, is a 20-module (15 adolescent modules and 5 parent modules) online psychoeducation course that includes a parent program, supported by 3 motivational interviews. Main Outcomes and Measures: Time to event for depressive episode; depressive symptoms at 6 months. Results: Of 369 participants (mean [SD] age, 15.4 [1.5] years; 251 women [68%]) included in this trial, 193 were randomized into CATCH-IT and 176 into HE. Among these participants, 28% had both a past episode and subsyndromal depression; 12% had a past episode only, 59% had subsyndromal depression only, and 1% had borderline subsyndromal depression. The outcome of time to event favored CATCH-IT but was not significant with intention-to-treat analyses (unadjusted hazard ratio [HR], 0.59; 95% CI, 0.27-1.29; P = .18; adjusted HR, 0.53; 95% CI, 0.23-1.23; P = .14). Adolescents with higher baseline Center for Epidemiologic Studies Depression scale (CES-D ) scores showed a significantly stronger effect of CATCH-IT on time to event relative to those with lower baseline scores (HR 0.82; 95% CI, 0.67-0.99; P = .04). For example, the hazard ratio for a CES-D score of 15 was 0.20 (95% CI, 0.05-0.77), compared with a hazard ratio of 1.44 (95% CI, 0.41-5.03) for a CES-D score of 5. In both CATCH-IT and HE groups, depression symptoms declined and functional scores increased. Conclusions and Relevance: For preventing depressive episodes CATCH-IT may be better than HE for at-risk adolescents with subsyndromal depression. Also CATCH-IT may be a scalable approach to prevent depressive episodes in adolescents in primary care

    Pilot study of Internet-based early intervention for combat-related mental distress

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    This article evaluates an Internet-based early intervention combining online cognitive-behavioral therapy (CBT) with electronic peer-to-peer support intended to promote mental health and well-being among combat veterans. We conducted a phase 1 clinical trial of 50 Iraq and Afghanistan veterans using a pre and post single-arm design. We evaluated feasibility and changes in mental health symptoms (depression and posttraumatic stress disorder [PTSD]), functional status, and attitudes toward treatment seeking at baseline and weeks 4, 8, and 12. A diverse group of veterans was enrolled (26% ethnic minority, 90% male, 66% with income <$30,000/year, 88% with no prior treatment for depression). Participants completed a mean of 4 of 6 lessons (standard deviation = 2.54). From baseline to week 12, there were significant declines in the Center for Epidemiologic Studies-Depression scale score (effect size [ES] = 0.41) and PTSD Checklist-Military version score (ES = 0.53). There were significant improvements in willingness to accept diagnosis (ES = 1.08) and perceived social norms and stigma regarding friends (ES = 1.51). Although lack of a control group is a limitation, the Internet-based program combining CBT-based coping skills training and peer-to-peer support demonstrated potential feasibility and evidenced benefit in symptom remediation for depression and PTSD
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