American journal of preventive medicine
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Randomized Controlled Trial
A randomized trial of Text2Quit: a text messaging program for smoking cessation.
Text messaging programs on mobile phones have shown some promise in helping people quit smoking. Text2Quit is an automated, personalized, interactive mobile health program that sends text messages to offer advice, support, and reminders about quitting smoking. ⋯ These results provide initial support for the relative efficacy of the Text2Quit program.
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Reducing the availability of highly lethal and commonly used suicide methods has been associated with declines in suicide rates of as much as 30%-50% in other countries. The theory and evidence underlying means restriction is outlined. Most evidence of its efficacy comes from population-level interventions and natural experiments. ⋯ Research is needed in a number of areas: communications research to identify effective messages and messengers for "lethal means counseling," clinical trials to identify effective interventions, translational research to ensure broad uptake of these interventions across clinical and community settings, and foundational research to better understand method choice and substitution. Approaches to suicide methods other than firearms are discussed. Means restriction is one of the few empirically based strategies to substantially reduce the number of suicide deaths.
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The 2012 National Strategy for Suicide Prevention expands the current suicide prevention paradigm by including a strategic direction aimed at promoting healthy populations. Childhood and adolescence are key suicide prevention window periods, yet knowledge of suicide prevention pathways through universal interventions is limited (Aspirational Goal 11). Epidemiologic evidence suggests that prevention programs in normative social systems such as schools are needed for broad suicide prevention impact. ⋯ Key knowledge breakthroughs needed are evidence linking specific intervention strategies to reduced suicidal behaviors and mortality and their mechanisms of action. Short- and long-term objectives to achieve these breakthroughs include combining evidence from completed prevention trials, increasing motivators for prevention researchers to assess suicide-related outcome, and conducting new trials of upstream interventions in populations using efficient designs acceptable to communities. In conclusion, effective upstream prevention programs have been identified that modify risk and protective factors for adolescent suicide, and key knowledge breakthroughs can jump-start progress in realizing the suicide prevention potential of specific strategies.
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Aspirational Goal 3 of the National Action Alliance for Suicide Prevention's Research Prioritization Task Force is to predict who is at risk for attempting suicide in the near future. Despite decades of research devoted to the study of risk and protective factors for suicide and suicidal behavior, surprisingly little is known about the short-term prediction of these behaviors. In this paper, we propose several questions that, if answered, could improve the identification of short-term, or imminent, risk for suicidal behavior. First, what factors predict the transition from suicidal thoughts to attempts? Second, what factors are particularly strong predictors of making this transition over the next hours, days, or weeks? Third, what are the most important objective markers of short-term risk for suicidal behavior? And fourth, what method of combining information about risk and protective factors yields the best prediction? We propose that the next generation of research on the assessment and prediction of suicidal behavior should shift, from cross-sectional studies of bivariate risk and protective factors, to prospective studies aimed at identifying multivariate, short-term prediction indices, examining methods of synthesizing this information, and testing the ability to predict and prevent suicidal events.
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Aspirational Goal 3 of the National Action Alliance for Suicide Prevention's Research Prioritization Task Force research agenda is to "find ways to assess who is at risk for attempting suicide in the immediate future." Suicide risk assessment is the practice of detecting patient-level conditions that may rapidly progress toward suicidal acts. With hundreds of thousands of risk assessments occurring every year, this single activity arguably represents the most broadly implemented, sustained suicide prevention activity practiced in the U. S. ⋯ Although past "second-generation" risk models using largely static risk factors failed to show predictive capabilities, the current "third-generation" dynamic risk prognostic models have shown initial promise. Methodologic improvements to these models include the advent of real-time, in vivo data collection processes, common data elements across studies and data sharing to build knowledge around key factors, and analytic methods designed to address rare event outcomes. Given the critical need for improved risk detection, these promising recent developments may well foreshadow advancement toward eventual achievement of this Aspirational Goal.