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Adjustment disorder (AD) is a commonly diagnosed psychiatric disorder. However, little is known about its course, predictors of its diagnostic outcomes, or its association with functional impairment. Our primary aim was to examine diagnostic transitions of service members with an incident AD diagnosis (IADx) to one of three states: 1) another psychiatric diagnosis, 2) chronic AD, or 3) no psychiatric diagnosis. Secondary outcomes included predictors of diagnostic course and functional outcomes associated with follow-up diagnoses.Health records of a random sample of 10,720 service members with an IADx were analyzed using multinomial logit regression and hazard rate model with competing risks.IADx transitions were 24.3 % to another psychiatric diagnosis, 8.9 % with chronic AD, and 43.7 % without a diagnosis. Nearly a quarter (23.1 %) separated from service. Deployment was the strongest predictor of transitioning to another diagnosis. Those who transitioned to another diagnosis separated at an increased rate and with more adverse outcomes.Diagnostic findings are based on data in the electronic health record, and we could not specifically identify the stressor that precipitated an AD diagnosis. These findings describe the course of AD in military personnel and may not generalize to civilians.AD, as initially diagnosed, represents a heterogeneous disorder with an enduring impact across the military career for a considerable proportion of service members. As an early indicator of more severe psychiatric outcomes, an IADx may signal an opportunity for early intervention and screening, particularly in service members with a history of deployment.

Recent expansions in the roles of women in combat have prompted increased interest in the psychological toll combat exposure may have on female service members as compared to males. This study examined the interactive effects of gender and combat exposure on transitions in posttraumatic stress disorder (PTSD) diagnostic status (presence or absence of PTSD diagnosis). We used administrative data of 20,000 U.S. Army soldiers whose combat exposure was assessed after return from deployment between January 1, 2008 and June 30, 2014; soldiers' PTSD diagnostic status was determined using International Classification of Diseases-9 diagnoses at four time points separated by 12 months. We used a mixed-effects logit transition model to examine the effects of combat and gender on incidence, persistence, and prevalence of PTSD diagnosis. Incidence and prevalence of PTSD diagnosis were higher among women, but persistence of PTSD diagnosis was higher in men. Higher rates of new PTSD diagnosis among women were not dependent on combat exposure, suggesting that other types of trauma may be responsible for increased rates among women. Gender differences in prevalence and persistence of PTSD diagnosis were greater among combat-exposed soldiers than among those not exposed to combat. Men maintained a PTSD diagnosis over longer periods of time than women suggesting greater PTSD persistence, and this pattern was particularly pronounced among soldiers exposed to combat. These results have implications for the recent policy changes and gender-based prevention strategies, and suggest that women in combat roles may be no more vulnerable to PTSD than are their male counterparts. Though the gender differences were small, they are indicative of healthcare utilization patterns that may be important for prevention and that warrant further exploration.

Objectives To date, no research has systematically evaluated screening instruments for gambling disorder to assess their accuracy and the quality of the research. This systematic review evaluated screening instruments for gambling disorder to inform decision makers about choices for population-level screening. Study Design and Setting On May 22, 2017 and January 4, 2019, we searched PubMed, PsycInfo, EMBASE, and Cochrane for studies that evaluated screening instruments for gambling disorder. Studies were included if (1) the screening instrument was in English, (2) the screening instrument was compared to a reference standard semistructured interview based on Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases diagnoses of gambling disorder, and (3) data were reported on psychometric properties of the instrument. Results We identified 31 different screening instruments from 60 studies. Only three instruments from three separate studies were eligible for inclusion in the systematic review. Conclusion Few screening instruments for gambling disorder have been validated with sufficient methodological quality to be recommended for use across a large health system.

Introduction Adjustment disorder (AD) is a time-delimited disorder characterized by excessive emotional distress or impaired functioning in response to an identifiable stressor. Although it is commonly diagnosed in mental health settings, its impact on occupational, social and other areas of functioning is not well understood. As a subthreshold disorder that is frequently diagnosed in conjunction with other physical and mental health disorders, the extent of its contribution to functional impairment may be obscured. During military service, research suggests AD is frequently diagnosed in early-service trainees. To help elucidate the relationship between AD and functional outcome, we explored 2 factors that may be associated with the rate of separation from service in U.S. active duty service members (SMs) with an AD diagnosis: previous mental health diagnoses and time in service when SMs receive an incident AD diagnosis (IADx). Materials and Methods Twenty-thousand SMs with an IADx were grouped by whether or not this was their first mental health diagnosis received in the military. To assess functional impairment, the 2 groups were compared on rate of separation. Those without prior diagnoses were then stratified into 5 groups based on length of time from military entrance to receipt of IADx and were further analyzed for separation rates. The Cox model was used to determine hazard ratios and create survival curves. The study was determined to be “not human subjects research.” Results Nearly half (46.4%) of SMs with an IADx previously had received a mental health diagnosis and had an increased risk of separation [hazard ratio = 1.25 (95% confidence interval: 1.207-1.286)]. Of SMs with IADx as their first diagnosis, 19.3% were diagnosed during the first 6 months of service and had the highest risk of separating [hazard ratio = 1.48 (1.381-1.589)], with a 60% probability of separating within 2 years of diagnosis. Those receiving it during the second 6 months of service (16.2%), second year (20.1%), or third year (18.2%) had approximately a 47% probability of separating within 2 years. Conclusions Previous mental health diagnoses and time in service when diagnosed appear to be important factors associated with functional impairment for SMs with AD. Nearly half of those with an IADx had previously received diagnoses for mood, anxiety, and other disorders and were at higher risk of separation following IADx. Our findings are based on diagnoses entered in electronic health records, so we cannot identify the nature of the stressor that precipitated AD. Nonetheless, early IADx predicted the fastest rate of separation, and it may be an opportune time for interventions to reduce its impact on functional outcomes.

Purpose This study’s purpose is to inform future research decisions about optimal measures for identifying combat deployments. We aim to evaluate four commonly utilized measures available in population-level administrative data to identify combat deployments in recent military operations among active duty Army personnel. Methods We compare these measures in three ways: (1) agreement (assessing the extent to which soldiers were differentially identified as combat deployed via each measure); (2) validity (calculating the sensitivity of each measure against a criterion measure); and (3) corroboration (examining how each measure predicted subsequent incidence of traumatic brain injury and post-traumatic stress disorder). Results We found that using personnel records to identify deployments to Iraq, Afghanistan, and/or Kuwait captured over 98% of combat-related deployments identified via self-reported measures. The addition of Kuwait allowed for detection of nearly 100% of battle injuries, improving sensitivity from 94.5% to 99.8%. However, self-reported combat exposure measures showed the largest differential in subsequent incidence of traumatic brain injury and post-traumatic stress disorder. Completeness and accuracy of different combat deployment measures varied significantly. Conclusions Using personnel records to identify deployment to Iraq, Afghanistan, and/or Kuwait was the most valid and comprehensive measure of combat deployment. However, self-reported combat exposure measures were more predictive of combat-related outcomes.

Objective The study compared healthcare utilization and posttraumatic stress disorder (PTSD) symptom trajectories of active duty service members (ADSM) with self-reported PTSD based on whether they had a PTSD diagnosis in the electronic health record (EHR). Methods ADSM meeting study criteria for self-reported PTSD (N = 470) were grouped according to EHR-PTSD diagnostic status. Participants completed PTSD symptom assessments over a 12 month period. We used log binomial regression and linear mixed model to examine predictors of receiving an EHR-PTSD diagnosis and to analyze healthcare utilization and symptom trajectories based on diagnostic status. Results Thirty percent of ADSM with study-identified PTSD had an EHR-PTSD diagnosis. Combat exposure and PTSD severity predicted EHR-PTSD diagnosis. ADSM without the diagnosis were more likely to have an adjustment disorder diagnosis. Participants with an EHR-PTSD diagnosis utilized more healthcare and reported worse PTSD symptoms over 12 months. Conclusions Findings suggest providers are more likely to record PTSD diagnoses for more severe, complex cases. While less severe cases may be less likely to receive a PTSD diagnosis, they may still access and benefit from care. Findings have implications for use of EHRs to describe health patterns and inform practices and policy in the Military Health System.

BACKGROUND AND OBJECTIVES To estimate the diagnostic prevalence and incidence of gambling disorder among United States service members and to identify associated risk factors, including demographics, history of mental illness or substance misuse, and proximity to legalized gambling vicinities. METHODS Gambling disorder cases comprised active component Service members who received a pathological or problem gambling diagnosis between October 1, 2005 and September 30, 2015. There were 901 cases (392 incidents) during the study period. Controls were matched on the case military entrance date (N = 43,564). Geospatial distance between gambling venue and military treatment facilities were calculated, then multivariable logistic regression and survival analyses were conducted. RESULTS The 10-year prevalence of gambling disorder was 6.6 per 100,000. Men were 3.5 times more likely than women to receive a gambling disorder diagnosis. Other risk factors included age over 24, Asian or Black race, formerly married, and enlisted rank. The odds of gambling disorder increased with duration and proximity to gambling venues, ranging from 2.0 to 3.9. Service members with prior substance misuse or mental health conditions were 3.9 times and 6.3 times more likely to receive a disordered gambling diagnosis than those without substance misuse or mental illness history, respectively. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE The results of this study reveal that proximity to gambling venues and slot machines on bases, as well as a history of substance misuse or mental disorders, are important risk factors for gambling disorder in the US military. Department of Defense screening policies that focus on high-risk populations are appropriate. (Am J Addict 2021;00:00-00).

Purpose: We examined the risk of post-traumatic stress disorder (PTSD), affective disorders, alcohol/substance-related disorders, traumatic brain injury (TBI) and insomnia, among explosive ordnance disposal (EOD) technicians compared to the general population of active-duty non-EOD personnel in the U.S. military. Methods: We conducted a retrospective cohort study using administrative and healthcare utilization data from fiscal year 2004 (FY2004) to FY2015 for this comparison. We used propensity score matching to balance baseline covariates, and discrete-time hazard models to compare the odds of occurrence of the outcomes. Results: EOD personnel had higher odds of having a new diagnosis of insomnia (odds ratio [OR] = 1.33; 95% confidence interval [CI]:1.22–1.45) and PTSD (OR = 1.23; 95% CI:1.08–1.41) than did non-EOD personnel. EOD technicians had lower odds of having a new diagnosis of affective disorders (OR = 0.83; 95% CI:0.79–0.87) and alcohol/substance-related disorders (OR = 0.59; 95% CI:0.54–0.64) than did non-EOD personnel. There was little evidence of a difference in the odds of a TBI diagnosis (OR = 1.07; 95% CI:0.99–1.16). Conclusions: As reliance on EOD forces continues, ongoing vigilance of the stressors, health sequelae and disincentives to access mental health care among this military occupation should be monitored and mitigated wherever possible.

Currently there is no standardized, transparent process for identifying and prioritizing research gaps to guide funding of psychological health research within the Department of Defense. In respons...

Using data collected from a 2012 - 2016 randomized trial, the effectiveness of enhanced collaborative care for PTSD and depression was evaluated using probable diagnostic status as the primary outcome. Exclusion criteria were then applied to a 2011 disease registry to examine the representativeness of the trial sample and estimate the potential reach of the intervention. Population impact was derived from the estimated effectiveness and reach of the intervention.Enhanced collaborative care was associated with a significantly greater probability of PTSD/depression remission by the end of the trial (conditional effect = -0.066, chisq = 51.1, p0.001). Based on the effectiveness and reach of the enhanced intervention, an estimated 250 (out of the 3,436) more Army soldiers with PTSD and/or depression would experience diagnostic remission during the preceding year if the enhanced model was available.The population framework permits the estimated differential impact of two collaborative care models to inform implementation considerations. These results highlight the value of applying public health models to identify front line treatments.

BACKGROUND: Present‐centered therapy (PCT) is a non‐trauma, manualized psychotherapy for adults with post‐traumatic stress disorder (PTSD). PCT was originally designed as a treatment comparator in trials evaluating the effectiveness of trauma‐focused cognitive‐behavioral therapy (TF‐CBT). Recent trials have indicated that PCT may be an effective treatment option for PTSD and that patients may drop out of PCT at lower rates relative to TF‐CBT. OBJECTIVES: To assess the effects of PCT for adults with PTSD. Specifically, we sought to determine whether (1) PCT is more effective in alleviating symptoms relative to control conditions, (2) PCT results in similar alleviation of symptoms compared to TF‐CBT, based on an a priori minimally important differences on a semi‐structured interview of PTSD symptoms, and (3) PCT is associated with lower treatment dropout as compared to TF‐CBT. SEARCH METHODS: We searched the Cochrane Common Mental Disorders Controlled Trials Register, the Cochrane Library, Ovid MEDLINE, Embase, PsycINFO, PubMed, and PTSDpubs (previously called the Published International Literature on Traumatic Stress (PILOTS) database) (all years to 15 February 2019 search). We also searched the World Health Organization (WHO) trials portal (ICTRP) and ClinicalTrials.gov to identify unpublished and ongoing trials. Reference lists of included studies and relevant systematic reviews were checked. Grey literature searches were also conducted to identify dissertations and theses, clinical guidelines, and regulatory agency reports. SELECTION CRITERIA: We selected all randomized clinical trials (RCTs) that recruited adults diagnosed with PTSD to evaluate PCT compared to TF‐CBT or a control condition. Both individual and group PCT modalities were included. The primary outcomes of interest included reduced PTSD severity as determined by a clinician‐administered measure and treatment dropout rates. DATA COLLECTION AND ANALYSIS: We complied with the Cochrane recommended standards for data screening and collection. Two review authors independently screened articles for inclusion and extracted relevant data from eligible studies, including the assessment of trial quality. Random‐effects meta‐analyses, subgroup analyses, and sensitivity analyses were conducted using mean differences (MD) and standardized mean differences (SMD) for continuous data or risk ratios (RR) and risk differences (RD) for dichotomous data. To conclude that PCT resulted in similar reductions in PTSD symptoms relative to TF‐CBT, we required a MD of less than 10 points (to include the 95% confidence interval) on the Clinician‐Administered PTSD Scale (CAPS). Five members of the review team convened to rate the quality of evidence across the primary outcomes. Any disagreements were resolved through discussion. Review authors who were investigators on any of the included trials were not involved in the qualitative or quantitative syntheses. MAIN RESULTS: We included 12 studies (n = 1837), of which, three compared PCT to a wait‐list/minimal attention (WL/MA) group and 11 compared PCT to TF‐CBT. PCT was more effective than WL/MA in reducing PTSD symptom severity (SMD ‐0.84, 95% CI ‐1.10 to ‐0.59; participants = 290; studies = 3; I² = 0%). We assessed the quality of this evidence as moderate. The results of the non‐inferiority analysis comparing PCT to TF‐CBT did not support PCT non‐inferiority, with the 95% confidence interval surpassing the clinically meaningful cut‐off (MD 6.83, 95% CI 1.90 to 11.76; 6 studies, n = 607; I² = 42%). We assessed this quality of evidence as low. CAPS differences between PCT and TF‐CBT attenuated at 6‐month (MD 1.59, 95% CI ‐0.46 to 3.63; participants = 906; studies = 6; I² = 0%) and 12‐month (MD 1.22, 95% CI ‐2.17 to 4.61; participants = 485; studies = 3; I² = 0%) follow‐up periods. To confirm the direction of the treatment effect using all eligible trials, we also evaluated PTSD SMD differences. These results were consistent with the primary MD outcomes, with meaningful effect size differences between PCT and TF‐CBT at post‐treatment (SMD 0.32, 95% CI 0.08 to 0.56; participants = 1129; studies = 9), but smaller effect size differences at six months (SMD 0.17, 95% CI 0.05 to 0.29; participants = 1339; studies = 9) and 12 months (SMD 0.17, 95% CI 0.03 to 0.31; participants = 728; studies = 5). PCT had approximately 14% lower treatment dropout rates compared to TF‐CBT (RD ‐0.14, 95% CI ‐0.18 to ‐0.10; participants = 1542; studies = 10). We assessed the quality of this evidence as moderate. There was no evidence of meaningful differences on self‐reported PTSD (MD 4.50, 95% CI 3.09 to 5.90; participants = 983; studies = 7) or depression symptoms (MD 1.78, 95% CI ‐0.23 to 3.78; participants = 705; studies = 5) post‐treatment. AUTHORS' CONCLUSIONS: Moderate‐quality evidence indicates that PCT is more effective in reducing PTSD severity compared to control conditions. Low quality of evidence did not support PCT as a non‐inferior treatment compared to TF‐CBT on clinician‐rated post‐treatment PTSD severity. The treatment effect differences between PCT and TF‐CBT may attenuate over time. PCT participants drop out of treatment at lower rates relative to TF‐CBT participants. Of note, all of the included studies were primarily designed to test the effectiveness of TF‐CBT which may bias results away from PCT non‐inferiority.The current systematic review provides the most rigorous evaluation to date to determine whether PCT is comparably as effective as TF‐CBT. Findings are generally consistent with current clinical practice guidelines that suggest that PCT may be offered as a treatment for PTSD when TF‐CBT is not available.

Combining alcohol and caffeine is associated with increased alcohol consumption, but no prospective experimental studies have examined whether added caffeine increases alcohol consumption.This study examined how caffeine alters alcohol self-administration and subjective reinforcing effects in healthy adults.Thirty-one participants completed six double-blind alcohol self-administration sessions: three sessions with alcohol only (e.g., beverage A) and three sessions with alcohol and caffeine (e.g., beverage B). Participants chose which beverage to consume on a subsequent session (e.g., beverage A or B). The effects of caffeine on overall beverage choice, number of self-administered drinks, subjective ratings (e.g., Biphasic Alcohol Effects Scale), and psychomotor performance were examined.A majority of participants (65%) chose to drink the alcohol beverage containing caffeine on their final self-administration session. Caffeine did not increase the number of self-administered drinks. Caffeine significantly increased stimulant effects, decreased sedative effects, and attenuated decreases in psychomotor performance attributable to alcohol. Relative to nonchoosers, caffeine choosers reported overall lower stimulant ratings and reported greater drinking behavior prior to the study.Although caffeine did not increase the number of self-administered drinks, most participants chose the alcohol beverage containing caffeine. Given the differences in subjective ratings and pre-existing differences in self-reported alcohol consumption for caffeine choosers and nonchoosers, these data suggest that decreased stimulant effects of alcohol and heavier self-reported drinking may predict subsequent choice of combined caffeine and alcohol beverages. These predictors may identify individuals who would benefit from efforts to reduce risk behaviors associated with combining alcohol and caffeine.

Background To promote evidence-based health care, clinical providers and decision makers rely on scientific evidence to inform best practices. Evidence synthesis (ES) is a key component of this process that serves to inform health care decisions by integrating and contextualizing research findings across studies. Objective This paper describes the process of establishing an ES capability in the Military Health System dedicated to psychological health topics. Research designs The goal of establishing the current ES capability was to facilitate evidence-based decision-making among clinicians, clinic managers, research funders, and policymakers, through the production and dissemination of trustworthy ES reports. We describe how we developed this capability, provide an overview of the types of evidence syntheses products we use to respond to different stakeholders, and detail the procedures established for selecting and prioritizing synthesis topics. Results We report on the productivity, acceptability, and impact of our efforts. Our reports were used by a variety of stakeholders and working groups, briefed to major committees, included in official reports and policies, and cited in clinical practice guidelines and the peer-reviewed literature. Conclusions Our experiences thus far suggest that the current ES capability offers a needed service within our health system. Our framework may help inform other agencies interested in developing or sponsoring a similar capability.

Background: Integrated health care models aim to improve access and continuity of mental health services in general medical settings. STEPS-UP is a stepped, centrally assisted collaborative care model designed to improve posttraumatic stress disorder (PTSD) and depression care by providing the appropriate intensity and type of care based on patient characteristics and clinical complexity. STEPS-UP demonstrated improved PTSD and depression outcomes in a large effectiveness trial conducted in the Military Health System. The objective of this study was to examine differences in mental health utilization patterns between patients in the stepped, centrally assisted collaborative care model relative to patients in the collaborative care as usual-treatment arm. Methods: Patients with probable PTSD and/or depression were recruited at 6 large military treatment facilities, and 666 patients were enrolled and randomized to STEPS-UP or usual collaborative care. Utilization data acquired from Military Health System administrative datasets were analyzed to determine mental health service use and patterns. Clinical complexity and patient characteristics were based on self-report questionnaires collected at baseline. Results: Compared with the treatment as usual arm, STEPS-UP participants received significantly more mental health services and psychiatric medications across primary and specialty care settings during the year of their participation. Patterns of service use indicated that greater clinical complexity was associated with increased service use in the STEPS-UP group, but not in the usual-care group. Conclusions: Results suggest that stepped, centrally assisted collaborative care models may increase the quantity of mental health services patients receive, while efficiently matching care on the basis of the clinical complexity of patients.

Background Caffeine Use Disorder was added to DSM-5 as a diagnosis for further research, but few studies have been conducted to identify effective treatments. This randomized, controlled clinical trial examined the efficacy of a manual-only treatment program for caffeine cessation and reduction among individuals seeking treatment for problematic caffeine use. Methods Individuals meeting at least two proposed DSM-5 diagnostic criteria for Caffeine Use Disorder were randomly assigned to receive either immediate treatment or treatment delayed by 7 weeks. The treatment consisted of a manual containing information about caffeine and instructions for gradually reducing caffeine consumption over a period of 6 weeks, with no counseling or additional support. Caffeine consumption and caffeine-related distress were assessed before treatment, 7 weeks after receiving the treatment manual (end-of-treatment), and 20 weeks post-treatment. Results The manual-only treatment resulted in significant reductions in participants’ self-reported caffeine consumption and caffeine-related distress at end-of-treatment that were sustained at 20-weeks post-treatment. Salivary caffeine levels and community observers corroborated the self-reported reductions in caffeine consumption. Comparisons between the immediate and delayed treatment groups suggest the reductions in caffeine consumption were attributable to the manualized treatment rather than spontaneous with the passage of time. Conclusions The present study provides evidence that a gradual caffeine reduction and cessation program may be successfully implemented using a manual-only approach. This time- and cost-effective intervention may be easily adopted by practitioners with limited time or experience with behavioral interventions who want to encourage their patients to reduce caffeine consumption.

INTRODUCTION Since the 1991 Gulf War, mental health conditions of military Service members have received increasing public attention and are a major focus for the U.S. government. A substantial proportion of military health research has been devoted to examining the pattern of change over time in mental health symptoms and diagnostic status among Service members. Unfortunately, many researchers continue to use somewhat obsolete methods to analyze trends and transitions in mental health, despite advances in statistical methodology that permit attention to the unique features inherent in longitudinal data. MATERIALS AND METHODS This article defines and describes data features and structures, and basic specifications of longitudinal data analysis to military health researchers. In particular, we highlight the respective impacts of missing data and intra-individual correlation on longitudinal data analysis. Based on the descriptions of the basic features in longitudinal data, we introduce several popular techniques to analyze a variety of longitudinal data types. RESULTS We demonstrate that traditional analytic techniques do not properly account for missing data and intra-individual correlation inherent in longitudinal data. Failure to use correct, appropriate models and methods can result in major bias in analytic results and mental health predictions. CONCLUSIONS Failure to use correct, appropriate models and methods in longitudinal data analysis can have unfortunate repercussions on a military health system that needs accurate findings to support valid policy decisions. By applying adequate models and methods, military health researchers will be able to better understand the complex interactions of biological, psychological, and social factors on mental health trends and transitions among military Service members.

BACKGROUND: Despite the growing consensus that collaborative care is effective, limited research has focused on the importance of collaborative care fidelity as it relates to mental health clinical outcomes. OBJECTIVE: To assess the relationship of collaborative care fidelity on symptom trajectories and clinical outcomes among military service members enrolled in a multi-site randomized controlled trial for the treatment of depression and posttraumatic stress disorder (PTSD). DESIGN: Study data for our analyses came from a two-parallel arm randomized trial that evaluated the effectiveness of a centralized collaborative care model compared to the existing collaborative care model for the treatment of PTSD and depression. All patients were included in the analyses to evaluate how longitudinal trajectories of PTSD and depression scores differed across various collaborative care fidelity groupings. PARTICIPANTS: A total of 666 US Military Service members screening positive for probable PTSD or depression through primary care. MAIN MEASURES: Disease registry data from a web-based clinical management support tool was used to measure collaborative care fidelity for patients enrolled in the trial. Participant depression and PTSD symptoms were collected independently from research survey assessments at four time points across the 1-year trial period. Treatment utilization records were acquired from the Military Health System administrative records to determine mental health service use. KEY RESULTS: Consistent and late fidelity to the collaborative care model predicted an improving symptom trajectory over the course of treatment. This effect was more pronounced for patients with depression than for patients with PTSD. CONCLUSIONS: Long-term fidelity to key collaborative care elements throughout care episodes may improve depression outcomes, particularly for patients with elevated symptoms. More controlled research is needed to further understand the influence of collaborative care fidelity on clinical outcomes. TRIAL REGISTRATION: Clinicaltrials.gov Identifier NCT01492348

Importance Suicide prediction models have the potential to improve the identification of patients at heightened suicide risk by using predictive algorithms on large-scale data sources. Suicide prediction models are being developed for use across enterprise-level health care systems including the US Department of Defense, US Department of Veterans Affairs, and Kaiser Permanente. Objectives To evaluate the diagnostic accuracy of suicide prediction models in predicting suicide and suicide attempts and to simulate the effects of implementing suicide prediction models using population-level estimates of suicide rates. Evidence Review A systematic literature search was conducted in MEDLINE, PsycINFO, Embase, and the Cochrane Library to identify research evaluating the predictive accuracy of suicide prediction models in identifying patients at high risk for a suicide attempt or death by suicide. Each database was searched from inception to August 21, 2018. The search strategy included search terms for suicidal behavior, risk prediction, and predictive modeling. Reference lists of included studies were also screened. Two reviewers independently screened and evaluated eligible studies. Findings From a total of 7306 abstracts reviewed, 17 cohort studies met the inclusion criteria, representing 64 unique prediction models across 5 countries with more than 14 million participants. The research quality of the included studies was generally high. Global classification accuracy was good (≥0.80 in most models), while the predictive validity associated with a positive result for suicide mortality was extremely low (≤0.01 in most models). Simulations of the results suggest very low positive predictive values across a variety of population assessment characteristics. Conclusions and Relevance To date, suicide prediction models produce accurate overall classification models, but their accuracy of predicting a future event is near 0. Several critical concerns remain unaddressed, precluding their readiness for clinical applications across health systems.

Previous investigations have identified individuals who meet criteria for Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; DSM-IV-TR; American Psychiatric Association, 2000) substance dependence as applied to caffeine, but there is little research on treatments for caffeine dependence. This study aimed to thoroughly characterize individuals who are seeking treatment for problematic caffeine use. Ninety-four individuals who identified as being psychologically or physically dependent on caffeine, or who had tried unsuccessfully to modify caffeine consumption participated in a face-to-face diagnostic clinical interview. They also completed measures concerning caffeine use and quitting history, reasons for seeking treatment, and standardized self-report measures of psychological functioning. Caffeine treatment seekers (mean age 41 years, 55% women) consumed an average of 548 mg caffeine per day. The primary source of caffeine was coffee for 50% of the sample and soft drinks for 37%. Eighty-eight percent reported prior serious attempts to modify caffeine use (mean 2.7 prior attempts), and 43% reported being advised by a medical professional to reduce or eliminate caffeine. Ninety-three percent met criteria for caffeine dependence when generic DSM-IV-TR substance dependence criteria were applied to caffeine use. The most commonly endorsed criteria were withdrawal (96%), persistent desire or unsuccessful efforts to control use (89%), and use despite knowledge of physical or psychological problems caused by caffeine (87%). The most common reasons for wanting to modify caffeine use were health-related (59%) and not wanting to be dependent on caffeine (35%). This investigation reveals that there are individuals with problematic caffeine use who are seeking treatment and suggests that there is a need for effective caffeine dependence treatments.

A rapid expansion in the development of telehealth treatments has occurred during the past several decades, with a growing body of evidence supporting online therapies for behavioral health disorders. These online interventions have focused primarily on the treatment of depression, panic disorder, social phobia, and generalized anxiety disorder. More recently, and with the relative success of the previous Web-based treatments, several online treatments for posttraumatic stress disorder (PTSD) have emerged. An overview of Internet and computer-based treatments (ICTs) for PTSD is presented, including a general discussion of computerized treatments followed by a review of specific ICTs that have been developed and tested for PTSD. Some of the critical issues surrounding ICTs are then explored, and an example of how online treatments can be incorporated into a larger care model is presented. The discussion ends with a brief description of the use of mobile health applications to augment treatment.

Among chronic smokers, individual differences in subjective reactions to smoking may characterize important facets of nicotine dependence that relate to abstinence-induced craving, withdrawal symptom profiles, and risk for relapse. Although the negative reinforcing properties of smoking have achieved prominent positions in models of relapse (Baker, Brandon, & Chassin, 2004), vulnerability to relapse risk may also arise from seeking positive reinforcement from smoking (Shiffman & Kirchner, 2009). In this study, 183 cessation-motivated smokers provided subjective craving, positive and negative reactions to standardized cigarettes following overnight abstinence. Level of craving, negative mood, and positive mood after overnight abstinence were significantly predictive of withdrawal on quit-day. Increased positive reactions to smoking were uniquely predictive of relapse after quitting (Hazard Ratio = 1.22, p < .001). Individual differences in positive reactions to smoking may be important markers of neurobiological systems that promote dependence and interfere with cessation efforts.

BACKGROUND: War-related trauma, posttraumatic stress disorder (PTSD), depression and suicide are common in US military members. Often, those affected do not seek treatment due to stigma and barriers to care. When care is sought, it often fails to meet quality standards. A randomized trial is assessing whether collaborative primary care improves quality and outcomes of PTSD and depression care in the US military health system. OBJECTIVE: Describe the design and sample for a randomized effectiveness trial of collaborative care for PTSD and depression in military members attending primary care. METHODS: The STEPS-UP Trial (Stepped Enhancement of PTSD Services Using Primary Care) is a 6 installation (18 clinic) randomized effectiveness trial in the US military health system. Study rationale, design, enrollment and sample characteristics are summarized. FINDINGS Military members attending primary care were referred to care management with suspected PTSD, depression or both were recruited for the trial (2,592) and 1,041 gave permission to contact for research participation. Of those, 666 (64%) met eligibility criteria, completed baseline assessments, and were randomized to 12months of usual collaborative primary care versus STEPS-UP collaborative care. Implementation was locally managed for usual collaborative care and centrally managed for STEPS-UP. Research reassessments occurred at 3-, 6-, and 12-months. Baseline characteristics were similar across the two intervention groups. CONCLUSIONS: STEPS-UP will be the first large scale randomized effectiveness trial completed in the US military health system, assessing how an implementation model affects collaborative care impact on mental health outcomes. It promises lessons for health system change. Language: en

Individuals who smoke cigarettes are significantly more likely to smoke more when they drink alcohol. Indeed, smoking and drinking appear strongly linked, at both between- and within-person levels of analyses. Anecdotal evidence further suggests that alcohol consumption in combination with smoking cigarettes reduces anxiety, yet the mechanisms by which this may occur are not well understood. The current study assessed the separate and combined effects of alcohol and nicotine on self-reported and psychophysiological (startle eyeblink magnitude) indices of anxiety. Results indicated that alcohol provided anxiolytic benefits alone and in combination with nicotine, as evidenced by significant reductions in startle eyeblink magnitude. According to self-reported anxiety, alcohol and nicotine exerted a conjoint effect on diminishing increases in anxiety subsequent to a speech stressor. These data highlight the importance of studying both the separate and combined effects of these two widely used substances, as well as the advantages of employing a multimodal assessment of emotional response.

Research indicates that nicotine and alcohol are often used on the same occasion. However, the reasons for their concurrent use are not well understood. We hypothesized that one reason smokers use tobacco when they drink alcohol is to compensate for alcohol's negative effects on processing capacity with nicotine's enhancement of processing capacity. As such, the present study tested this theory by using an independent groups design to examine the separate and combined acute effects of alcohol and nicotine on working memory (WM) capacity. Nonabstinent daily smokers (n = 127) performed the counting span task (CSPAN) after consuming either an alcohol (men: 0.8 g/kg; women: 0.7 g/kg) or placebo beverage and smoking either nicotinized (1.14 mg nicotine, 15.9 mg tar) or denicotinized (.06 mg nicotine, 17.9 mg tar) cigarettes. Analyses revealed that smokers who smoked the nicotinized cigarettes performed significantly worse on the CSPAN task than smokers who smoked the denicotinized cigarettes. Although there was no main effect of alcohol on WM performance, women exhibited better WM performance than men after consuming alcohol whereas men performed better than women on the WM task after consuming the placebo beverage. Findings also revealed no interaction between the two substances on WM performance. Taken together, results suggest that nicotine impairs nonabstinent smokers' verbal WM capacity and that gender moderates the effects of alcohol on WM. Furthermore, the present findings failed to support the notion that nicotine compensates for alcohol-related decrements in working memory capacity.

Purpose Despite evidence that smoking elevates peripheral autonomic nervous system activity, cigarette smokers commonly report smoking to reduce negative affect, or “calm down.” Studies suggest that anxiety sensitivity is positively associated with the use of anxiolytic substances, but anxiety sensitivity is also characterized by aversive responding to elevations in physiological arousal. As such, anxiety sensitivity may be an important factor in the study of smoking, affect, and arousal. Method Smokers smoked cigarettes in two experimental sessions: a Stressful Speech Condition and a No Stress Condition. Psychophysiological and self-report served as within-subjects, repeated measures. Results Findings revealed that smoking reduced anxiety in high anxiety sensitive smokers who smoked during a stressful situation, but not a no stress situation. Low anxiety sensitive smokers endorsed anxiolysis in both conditions. Conclusions Results suggest that high anxiety sensitive smokers may be sensitive to the physiologically arousing effects of smoking in low stress, low arousal, situations.

Although adolescent cigarette smoking remains a critical public health concern, little is known about the reinforcing mechanisms governing smoking in this vulnerable population. To assess predictions derived from both positive and negative reinforcement models of drug use, the authors measured the acute effects of nicotine, as administered via tobacco cigarettes, on both positive and negative affect in a group of 15- to 18-year-old smokers. A matched group of nonsmokers served as a comparison group. Findings revealed that whereas adolescents who smoked a cigarette experienced reductions in both positive and negative affect, the observed reductions in negative affect were moderated by nicotine content of the cigarette (high yield vs. denicotinized), level of nicotine dependence, level of baseline craving, and smoking expectancies pertinent to negative affect regulation. Nonsmokers experienced no change in affect over the 10-min assessment period, and no interaction effects were observed for positive affect. Overall, the findings conform to a negative reinforcement model of nicotine effects and strongly suggest that, even among young light smokers, nicotine dependence and resultant withdrawal symptomatology may serve as motivating factors governing smoking behavior.

Publisher Summary Once an individual has crossed the line at which withdrawal symptomatology emerges in the absence of drug self-administration, that person is deemed addicted; his/her drug use is then believed to be motivated predominantly by the need to stave off the uncomfortable symptoms of withdrawal, which almost universally—across virtually all drugs of abuse and even nonpharmacological addictive behaviors—include various forms of negative affect (NA). Noting that virtually all drug users attribute their use to its purported ability to assuage NA, this chapter reviews the empirical literature in an effort to try to address the veracity of this claim. First, it explains what comprises NA and reviews several influential theoretical models of drug addiction, all of which make a strong case for the important role played by negative affect in promoting addictive substance use. It then considers the potentially important role played by expectancies in shaping and influencing the relationship between affect and drug use. Next, it argues that a meaningful delineation of the complex relationship between NA and drug addiction is a must.

Purpose The objective of this study was to explore the smoking topography of adolescent smokers. It is well established that the majority of adult nicotine-dependent smokers began smoking as adolescents. Whereas recent advances have been made with respect to identification of factors that predispose to nicotine dependence, very little is known about the actual smoking behavior (e.g., topography) of adolescent smokers, or its relationship to nicotine dependence. Correspondingly, the extent to which adolescent smokers smoke to obtain nicotine is also unknown. Methods In the present study, we assessed several topographical indices of smoking (e.g., puff volume, puff number) in a sample of 35 light, adolescent smokers. Moreover, we examined whether smoking behavior is different in response to smoking a denicotinized relative to a high-yield, nicotine cigarette. Results All participants evidenced a significant increase in expired air carbon monoxide after the smoking of a cigarette. Results of independent-sample t -tests revealed that adolescents who smoked a low-yield nicotine cigarette took significantly more puffs per cigarette than did those who smoked a high-yield cigarette. Conclusions These findings suggest that adolescent smokers do titrate their nicotine intake in response to smoking denicotinized cigarettes, but do so not by taking larger puffs or smoking more quickly, but by simply taking more puffs per cigarette. Implications of the findings and future directions for this type of research with adolescents are discussed.