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Introduction Many service members experiencing symptoms of mental health conditions do not receive mental health care for these symptoms. The stigma associated with having a mental health condition or seeking treatment is often cited as a specific barrier to mental health care. However, study results bearing on the question of whether and how stigma may reduce treatment-seeking have been inconsistent. Methods We searched 10 databases for sources published between 2004 and 2014 that prospectively linked stigma to treatment-related outcomes (such as treatment seeking, retention, and reports of symptoms) using longitudinal data and predictive models. The searches yielded 2,409 sources. After reviewing titles and abstracts for relevance, we retained 15 sources to undergo full-text review. Results Overall, this review illustrates that evidence exploring the direct effect of stigma on treatment-related outcomes is still scant. We identified two studies whose outcomes conflict when it comes to stigma and treatment-initiation and utilization, and three studies found no relationship between stigma and treatment-initiation and utilization. One study suggested that the relationship between stigma and experience of symptoms is nuanced and may depend on the type of stigma and types of symptoms considered. Meager evidence was available to inform the relationship between stigma and treatment duration, attrition, and quality of life/functioning. The evidence was not sufficient to draw conclusions about the state of these relationships. No conclusions could be made about the direct impact of stigma on treatment-related outcomes among military service members given that only two studies explored this relationship among military service members. Conclusion Current research does not provide a true understanding of the degree to which mental illness stigma affects treatment-related outcomes for service members experiencing mental health challenges. This understanding could only be developed through a longitudinal study assessing prospectively whether stigma affects treatment-utilization in the military. Should such a study show that stigma reduces treatment-utilization, the military would need to consider whether changes to their current approaches to stigma reduction are warranted.

Introduction Negative psychosocial expectancies of smoking include aspects of social disapproval and disappointment in oneself. This paper describes analyses conducted to develop and evaluate item banks for assessing psychosocial expectancies among daily and nondaily smokers. Methods Using data from a sample of daily (N = 4,201) and nondaily (N =1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of psychosocial expectancies items for daily and nondaily smokers. We also evaluated performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess psychosocial expectancies. Results A total of 21 items were included in the Psychosocial Expectancies item banks: 14 items are common across daily and nondaily smokers, 6 are unique to daily, and 1 is unique to nondaily. For both daily and nondaily smokers, the Psychosocial Expectancies item banks are strongly unidimensional, highly reliable (reliability = 0.95 and 0.93, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.85). Results from simulated CATs showed that, on average, fewer than 8 items are needed to assess psychosocial expectancies with adequate precision when using the item banks. Conclusions Psychosocial expectancies of smoking can be assessed on the basis of these item banks via the SF, by using CAT, or through a tailored set of items selected for a specific research purpose.

Introduction Smokers' health-related outcome expectancies are associated with a number of important constructs in smoking research, yet there are no measures currently available that focus exclusively on this domain. This paper describes the development and evaluation of item banks for assessing the health expectancies of smoking. Methods Using data from a sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of health expectancies items for daily and nondaily smokers. We also evaluated the performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess health expectancies. Results A total of 24 items were included in the Health Expectancies item banks; 13 items are common across daily and nondaily smokers, 6 are unique to daily, and 5 are unique to nondaily. For both daily and nondaily smokers, the Health Expectancies item banks are unidimensional, reliable (reliability = 0.95 and 0.96, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.87). Results from simulated CATs showed that health expectancies can be assessed with good precision with an average of 5-6 items adaptively selected from the item banks. Conclusions Health expectancies of smoking can be assessed on the basis of these item banks via SFs, CATs, or through a tailored set of items selected for a specific research purpose.