Yan Leykin

Prevention of Major Depression

Before the 1980s, no randomized controlled trials had been carried out to test whether major depressive episodes could be prevented. In the past 30 years, several trials have reported success in reducing the incidence (the number of new cases) of major depressive episodes. These studies suggest that major depression can be prevented. Given the large burden of disease caused by major depression, it is time for substantial systematic efforts to replicate these studies, carry out multisite trials, and widely disseminate prevention interventions found to be effective. The present review examines the conceptual and practical differences between treatment and prevention trials and the importance of identifying groups at high short-term risk for major depressive episodes to make prevention trials feasible. We also list the randomized controlled prevention trials that have been carried out to date and discuss the need for prevention interventions that go beyond the limits of traditional face-to-face interventions.

Major depression can be prevented.

The 2009 Institute of Medicine report on prevention of mental, emotional, and behavioral disorders (National Research Council & Institute of Medicine, 2009b) presented evidence that major depression can be prevented. In this article, we highlight the implications of the report for public policy and research. Randomized controlled trials have shown that the incidence of major depressive episodes can be significantly reduced. Meta-analyses suggest that 22% to 38% of major depressive episodes could be prevented with currently available methods. We argue that if major depressive episodes can be prevented, the health care system should provide routine access to evidence-based depression prevention interventions, just as it provides inoculations for other common and debilitating health problems. At the same time, researchers should pursue the major directions advocated by the Institute of Medicine report to increase the enduring effectiveness of future prevention interventions. These directions include taking a developmental perspective, learning to identify groups at high risk, and testing evidence-based interventions that are likely to have the widest reach. Scientific evidence has shown that clinical depression can be averted. Our societies must take action to reduce clinical depression to the lowest possible level. This article is one of three in a special section (see also Biglan, Flay, Embry, & Sandler, 2012; Yoshikawa, Aber, & Beardslee, 2012) representing an elaboration on a theme for prevention science developed by the 2009 report of the National Research Council and Institute of Medicine.

Internet interventions for improving psychological well‐being in psycho‐oncology: review and recommendations

Too few cancer patients and survivors receive evidence‐based interventions for mental health symptoms. This review examines the potential for Internet interventions to help fill treatment gaps in psychosocial oncology and presents evidence regarding the likely utility of Internet interventions for cancer patients.

Progressive Resistance to a Selective Serotonin Reuptake Inhibitor but Not to Cognitive Therapy in the Treatment of Major Depression

Recent research suggests that there may be a reduction in therapeutic response after multiple administrations of antidepressant drug (AD) therapy in patients with major depressive disorder. This study assessed the response to AD therapy and cognitive therapy (CT) of patients with a history of prior AD exposures. A sample of 240 patients with moderate-to-severe major depressive disorder entered a randomized controlled trial comparing pharmacotherapy with paroxetine to CT. Treatment was administered for 16 weeks. History of prior AD exposure was assessed with structured interviews, self-report, and medical records. Analyses were conducted using hierarchical linear models on the intent-to-treat sample. After controlling for various demographic and clinical factors, more prior AD exposures predicted poor response to paroxetine therapy but not to CT, as measured by the Hamilton Rating Scale for Depression (Hamilton, 1960; Williams, 1988). Whereas CT outcome was not significantly related to the number of prior AD exposures, a higher number of prior AD exposures was significantly associated with a lower response to paroxetine. If these findings are replicated in methodologically rigorous studies of paroxetine and other antidepressants, CT should be recommended, in preference to AD, for patients with multiple prior AD exposures.

Decision-Making and Depressive Symptomatology

Difficulty making decisions is a core symptom of depressive illness, but the nature of these difficulties has not been well characterized. The two studies presented herein use the same hypothetical scenarios that call for a decision. In Study 1, participants were asked to make and explain their decisions in a free-response format, as well as to describe their prior experiences with similar situations. The results suggest that those with more depressive symptoms make decisions that are less likely to further their interests. We also identified several interesting associations between features of decision-making and the presence of depressive symptoms. In Study 2, participants were guided through their decisions with simple decision tools to investigate whether the association between depressive symptoms and poor decisions is better accounted for by failure to use of good decision-making strategies, or by other factors, such as differences in priorities or goals. With this minimal intervention the quality of decisions no longer declined significantly as a function of depressive symptom severity. Moreover, few associations between depressive symptom severity and decision-related goals and priorities were evident, suggesting that the previously-exposed difficulties of depressed individuals with decision-making were largely the result of their failure to use effective decision-making techniques.

Daily mood ratings via text message as a proxy for clinic based depression assessment

BACKGROUND Mobile and automated technologies are increasingly becoming integrated into mental health care and assessment. The purpose of this study was to determine how automated daily mood ratings are related to the Patient Health Questionnaire-9 (PHQ-9), a standard measure in the screening and tracking of depressive symptoms. RESULTS There was a significant relationship between daily mood scores and PHQ-9 scores, and between one-week average mood scores and PHQ-9 scores, controlling for linear change in depression scores. PHQ-9 scores were not related to the average of two week mood ratings. This study also constructed models using variance, maximum, and minimum values of mood ratings in the preceding week and two-week periods as predictors of PHQ-9. None of these variables significantly predicted PHQ-9 scores when controlling for daily mood ratings and the corresponding averages for each period. LIMITATIONS This study only assessed patients who were in treatment for depression, therefore findings might not generalize to the relationship between text message mood ratings for those who are not depressed. The sample was also predominantly Spanish speaking and low-income making generalizability to other populations uncertain. CONCLUSIONS Our results show that automatic text message based mood ratings can be a clinically useful proxy for the PHQ-9. Importantly, this approach avoids the limitations of the PHQ-9 administration, which include length and a higher requirement for literacy.

Interpreting the Outcomes of Automated Internet-Based Randomized Trials: Example of an International Smoking Cessation Study

Background Smoking is one of the largest contributors to the global burden of disease. Internet interventions have been shown to reduce smoking rates successfully. However, improved methods of evaluating effectiveness need to be developed for large-scale Internet intervention trials. Objective To illustrate a method to interpret outcomes of large-scale, fully automated, worldwide Internet intervention trials. Methods A fully automated, international, Internet-based smoking cessation randomized controlled trial was conducted in Spanish and English, with 16,430 smokers from 165 countries. The randomized controlled trial replicated a published efficacy trial in which, to reduce follow-up attrition, 1000 smokers were followed up by phone if they did not provide online follow-up data. Results The 7-day self-reported abstinence rates ranged from 36.18% (2239/6189) at 1 month to 41.34% (1361/3292) at 12 months based on observed data. Given high rates of attrition in this fully automated trial, when participants unreachable at follow-up were presumed to be smoking, the abstinence rates ranged from 13.63% (2239/16.430) at 1 month to 8.28% (1361/16,430) at 12 months. We address the problem of interpreting results with high follow-up attrition rates and propose a solution based on a smaller study with intensive phone follow-up. Conclusions Internet-based smoking cessation interventions can help large numbers of smokers quit. Large-scale international outcome studies can be successfully implemented using automated Internet sites. Interpretation of the studies’ results can be aided by extrapolating from results obtained from subsamples that are followed up by phone or similar cohort maintenance methods. Trial Registration ClinicalTrials.gov NCT00721786; http://clinicaltrials.gov/ct2/show/NCT00721786 (Archived by WebCite at http://www.webcitation.org/63mhoXYPw)

From Online Randomized Controlled Trials to Participant Preference Studies: Morphing the San Francisco Stop Smoking Site into a Worldwide Smoking Cessation Resource

Background Internet interventions have the potential to address many of the health problems that produce the greatest global burden of disease. We present a study illustrating this potential. The Spanish/English San Francisco Stop Smoking Internet site, which yielded quit rates of 20% or more at 12 months in published randomized controlled trials (RCTs), was modified to make it accessible to Spanish- and English-speaking smokers 18 years of age or older anywhere in the world. Objective To illustrate that Internet interventions designed to conduct RCTs can be adapted to serve as universal health care resources. We also examine quit rates obtained in the current participant preference study (in which users could choose from all elements tested in previous RCTs) to determine whether they differ from the quit rates found in the RCTs. Methods We modified the San Francisco Stop Smoking Internet site so that, instead of being randomly assigned to a specific intervention, participants could personalize the site by choosing among nine site elements (eg, stop smoking guide, reminder emails, journal, mood management intervention, or virtual group). Participants completed a baseline assessment, and reported smoking and mood data at 1-, 3-, 6-, and 12-month follow-ups. We assessed the modified website’s reach and outcomes (quit rates), and compared the quit rates of the current participant preference study with those of the previous RCTs. Results In the first year of recruitment, 94,158 individuals from 152 countries and territories visited the site; 13,488 participants left some data; 9173 signed consent; 7763 completed the baseline survey; and 1955, 1362, 1106, and 1096 left 1-, 3-, 6-, and 12-month data, respectively. Observed quit rates were 38.1% (n = 668), 44.9% (n = 546), 43.6% (n = 431), and 45.4% (n = 449), respectively. The current participant preference study yielded higher observed quit rates (odds ratio 1.30) than the previous RCT when controlling for individuals’ demographic and smoking characteristics. Conclusions After strict RCTs are completed, Internet intervention sites can be made into worldwide health intervention resources without reducing their effectiveness. Trial Registration Clinicaltrials.gov NCT00721786; http://clinicaltrials.gov/ct2/show/NCT00721786 (Archived by WebCite at http://www.webcitation.org/66npiZF4y)

Are consumers of Internet health information "cyberchondriacs"? Characteristics of 24,965 users of a depression screening site.

The number of individuals looking for health information on the Internet continues to expand. The purpose of this study was to understand the prevalence of major depression among English‐speaking individuals worldwide looking for information on depression online.

Using Google AdWords for International Multilingual Recruitment to Health Research Websites

Background Google AdWords, the placement of sponsored links in Google search results, is a potent method of recruitment to Internet-based health studies and interventions. However, the performance of Google AdWords varies considerably depending on the language and the location of the target audience. Objective Our goal was to describe differences in AdWords performance when recruiting participants to the same study conducted in four languages and to determine whether AdWords campaigns can be optimized in order to increase recruitment while decreasing costs. Methods Google AdWords were used to recruit participants to the Mood Screener, a multilingual online depression screening tool available in English, Russian, Spanish, and Chinese. Two distinct recruitment periods are described: (1) “Unmanaged”, a 6-month period in which ads were allowed to run using only the AdWords tool itself, with no human intervention, and (2) “Managed”, a separate 7-week period during which we systematically sought to optimize our recruitment campaigns. Results During 6 months of unmanaged recruitment, our ads were shown over 1.3 million times, resulting in over 60,000 site visits. The average click-through rate (ratio of ads clicked to ads displayed) varied from 1.86% for Chinese ads to 8.48% for Russian ads, as did the average cost-per-click (from US