Sex and stress hormone dysregulation as clinical manifestations of hypothalamic function in migraine disorder: A meta-analysis.

Migraine is a leading cause of disability in young adults. It occurs more frequently in females, often comorbidly with stress disorders, suggesting an association with hypothalamic sex and stress hormonal function and a likely interaction with autonomic nervous system activation. Thus, this study aimed to meta-analyse current literature pertaining to female and male sex hormones (estrogen, progesterone and testosterone concentration), hypothalamic-pituitary-adrenal axis (HPA axis) cortisol responses and heart rate variability (HRV) in migraineurs and controls aged 13-65 years. A systematic search of MEDLINE, Embase, PsycINFO, PubMed, CINAHL and Web of Science databases on 29/08/2022 identified 29 studies for meta-analysis (encompassing 719 migraineur and 592 control participants) that met inclusion and NHLBI risk of bias criteria. Results demonstrated that estrogen concentrations of female migraineurs were reduced (g = -.60, 95% CI [-.91, -.29], p < .001) in the luteal phase of the menstrual cycle, compared to controls. No differences were found in progesterone levels overall in female migraineurs, nor in testosterone levels in male migraineurs compared to controls. Further, early diurnal cortisol concentrations were elevated (g = .32, 95% CI [.00, .63], p = .036) in female and male migraineurs compared to controls, though no differences were found in HRV of female or male migraineurs compared to controls. These findings of dysregulation of estrogen in females and cortisol dysregulation in female and male migraineurs indicate perturbed hypothalamic function and highlight the association of migraine with stress and the need for further rigorous investigation of hypothalamic neuroendocrine functions in migraineurs of both sexes.

Caring contacts for suicide prevention: A systematic review and meta-analysis.

Caring Contacts (CC), a low-cost intervention originally designed and tested by Jerome Motto in 1976, remains one of the few strategies to demonstrate efficacy in the prevention of suicide deaths. Interest in CC has increased steadily over the last several years in tandem with rising U.S. suicide rates and the acceleration of suicide prevention initiatives. There have been several efforts to design interventions modeled after Motto's strategy, and the recent publication of additional large-scale randomized controlled trials (RCTs) in alignment with the intent of Motto's original model afford an opportunity to systematically review efficacy findings. The current systematic review provides an updated and focused analysis of the evidence supporting the efficacy of CC. A systematic literature search of MEDLINE, EMBASE, PsycINFO, Cochrane Library, and ClinicalTrials.gov was conducted, and PRISMA, Cochrane, and GRADE guidelines were followed. Of 2,746 abstracts reviewed, 13 publications, comprising six randomized controlled trials (RCTs) met inclusion criteria. The studies encompassed 6,218 participants across four countries and military, veteran, and civilian health care systems. The primary outcome was suicide mortality; secondary outcomes were suicide attempts and emergency department (ED) presentations/hospitalizations. The DerSimonian-Laird random-effects univariate meta-analysis was used to estimate summary effect sizes and evaluate statistical heterogeneity. Summary risk ratio estimates ranged from 0.57 to 1.29 across outcomes and time points; most estimates indicated a protective effect. For suicide deaths and ED presentations/hospitalization, interval estimates at 1-year postrandomization were consistent with either an increase or a decrease in risk. A protective effect was observed for suicide attempts at 1-year postrandomization. Implications and methodological recommendations for future work in this area reviewed and discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Outcomes and prognosis of adjustment disorder in adults: A systematic review.

Adjustment disorder (AD) is one of the most commonly diagnosed mental health disorders and is generally conceptualized to be mild and short-lived. Despite the frequent use of AD in clinical settings, little is known about the prognosis of this condition. Our goal was to systematically review research on a range of AD outcomes in order to provide a broad characterization of AD prognosis. We conducted searches in MEDLINE, EMBASE, and PsycINFO. We included 31 cohort or randomized controlled trials with a total of 1,385,358 participants. Many patients maintained an AD diagnosis or were diagnosed with another mental health disorder months to years after initial diagnosis. Patients with AD tended to show symptom improvement at higher rates and to utilize less treatment than did patients with other disorders. AD-diagnosed groups experienced subsequent development of numerous physical conditions, such as infection, cancers, Parkinson's disease, and cardiovascular events, at higher rates than did control groups. Results were mixed regarding suicidality and occupational impairment. We rated most studies as having a moderate risk of bias. Based on limited findings, AD appears to progress as a milder disorder than do other disorders, but it not uncommonly transitions to more severe mental health states and may predict the development of future health issues, both mental and physical. Future prospective research that conforms to prognosis study guidelines is needed to better understand the course of this common disorder.

Systematic review and meta-analysis of predictors of adjustment disorders in adults.

BACKGROUND: The diagnosis of adjustment disorder is common in clinical practice, yet there is lack of research on the etiology and epidemiology of adjustment disorders. The goal of this systematic review was to evaluate predictors of adjustment disorders in adults. METHODS: We conducted systematic searches in MEDLINE, EMBASE, and PsycINFO. We included 70 studies that examined thirteen theoretically-derived and predefined predictors of adjustment disorders with a total of 3,449,374 participants. RESULTS: We found that female gender, younger age, unemployed status, stress, physical illness and injury, low social support, and a history of mental health disorders predicted adjustment disorders. Most of these predictors differentiated individuals with adjustment disorders from individuals with no mental health disorders. Participants with adjustment disorders were more likely to have experienced accidents than were those with posttraumatic stress disorder but were less likely to have experienced assaults and abuse, neglect, and maltreatment. More research is needed to identify factors that differentiate adjustment disorders from other mental health disorders. LIMITATIONS: Because very few studies adjusted for confounders (e.g., demographic variables, mental health histories, and a variety of stressors), it was not possible to identify independent associations between predictors and adjustment disorders. CONCLUSIONS: We identified a number of factors that predicted adjustment disorders compared to no mental health diagnosis. The majority of studies were rated as moderate or high in risk of bias, suggesting that more rigorous research is needed to confirm the relationships we detected.

Adjustment disorders: A research gaps analysis.

Adjustment disorders are among the most commonly diagnosed mental health disorders in both civilian and military clinical settings. Despite their high prevalence, adjustment disorders have received little research attention. The many gaps in our understanding of this group of disorders hinder the development of adequate, evidence-based treatment protocols. This study utilizes a systematic methodology to identify and prioritize research gaps in adjustment disorders. We used authoritative source reports to identify gaps in research domains from foundational science to services research. Subject-matter experts conducted literature searches to substantiate and refine research gaps, and stakeholders assessed the importance and impact of this work for researchers and policy-makers. We identified 254 possible research-needs statements, which were ultimately reduced to 11 final, prioritized research gaps. Two gaps addressed prevention and screening and three addressed treatment and services research. Six gaps addressed foundational science, epidemiology, and etiology research domains, highlighting the need for basic research. Until some of the basic science questions are resolved (e.g., diagnostic clarity, valid screening, and assessment measures) about adjustment disorders, we may not be able to develop adequate evidence-based interventions for the disorders, and it will be difficult to understand the trajectory of these disorders throughout treatment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Rapid Review on the Effectiveness of Telehealth Interventions for the Treatment of Behavioral Health Disorders.

INTRODUCTION: The Psychological Health Center of Excellence conducted a rapid review of the literature to investigate the effectiveness of behavioral health treatments (i.e., evidence-based psychotherapy and psychiatry) delivered in person compared to telehealth (TH; i.e., video teleconference and telephone). MATERIALS AND METHODS: The rapid review methods included a systematic search of a single database (PubMed), hand-searching of relevant systematic reviews, dual screening, single-person data abstraction verified by a second person, and dual risk of bias assessment. Due to heterogeneity across studies, no quantitative analyses were conducted. RESULTS: Twenty-two randomized controlled trials (RCTs), eight of which were non-inferiority trials, evaluated the effectiveness of TH via telephone or video teleconferencing compared to in-person (IP) delivery for patient populations with posttraumatic stress disorder, depression, and mixed diagnoses. The majority of RCTs and all but one of the eight non-inferiority trials found that clinical outcomes did not differ between TH and IP treatment delivery. Two studies found that subgroups with higher symptom severity (hopelessness and anxiety disorders, respectively) in the TH group had worse treatment-related outcomes than IP participants with similar symptom profiles. The majority of studies found no significant differences in satisfaction with care, quality of the therapeutic alliance, or study discontinuation between TH and IP groups. CONCLUSION: Based on evidence from 22 RCTs, the use of TH platforms, including video conference and telephone modalities, generally produces similar outcomes as face-to-face provision of psychotherapy and psychiatry services.

A systematic analysis and prioritization of suicide prevention research gaps.

OBJECTIVE: This study identified and prioritized research gaps for suicide prevention in the Department of Defense to inform future research investments. METHODS: The 2019 VA/DoD Clinical Practice Guideline for the Assessment and Management of Patients at Risk for Suicide was the primary source document for research gaps, supplemented by an updated literature search. Institutional stakeholders rated the identified research gaps and ranked the gap categories. We used Q factor analysis to derive a list of the prioritized research gaps and category rankings. RESULTS: Thirty-five research gaps were identified and prioritized. The highest rated research gap topic was lethal means safety interventions and their effectiveness in increasing safety behaviors and/or reducing suicide-related outcomes. Research on the effectiveness of crisis response planning and several other non-pharmacological interventions (e.g., implementation of cognitive-behavioral therapy, technology-based behavioral interventions, and applications of dialectical behavior therapy to non-Borderline patients) were also rated highly by stakeholders. CONCLUSIONS: This work generated a list of priorities for future suicide research as evaluated by Departments of Defense and Veterans Affairs stakeholders. Our findings can help guide the efforts of suicide researchers and inform decisions about future research funding for suicide prevention.

Advances in repetitive transcranial magnetic stimulation for posttraumatic stress disorder: A systematic review.

Repetitive transcranial magnetic stimulation (rTMS) as a treatment for posttraumatic stress disorder (PTSD) has gained interest over the past two decades. However, it has yet to be recommended in major treatment guidelines. We conducted a systematic review of randomized controlled trials to examine the efficacy of rTMS for PTSD. Thirteen studies with 549 participants were included in this review. We compared the effects of (1) rTMS versus sham, and (2) high-frequency (HF) versus low-frequency (LF) rTMS, on posttreatment PTSD scores and other secondary outcomes. We calculated the standardized mean differences (SMD) to determine the direction of effects, and unstandardized mean differences to estimate the magnitude of efficacy. At post-treatment, rTMS was superior to sham comparison in reducing PTSD (SMD = -1.13, 95% CI: -2.10 to -0.15) and depression severity (SMD = -0.83, 95% CI: -1.30 to -0.36). The quality of evidence, however, was rated very low due to small samples sizes, treatment heterogeneity, inconsistent results, and an imprecise pooled effect. HF rTMS was associated with slightly improved, albeit imprecise, outcomes compared to LF rTMS on PTSD (SMD = -0.19, 95% CI: -1.39 to 1.00) and depression (SMD = -1.09, 95% CI: -1.65 to -0.52) severity. Further research is required to advance the evidence on this treatment.

Posttraumatic Stress Disorder Treatment Dropout Among Military and Veteran Populations: A Systematic Review and Meta-Analysis.

High treatment dropout rates reported in recent literature have brought into question the effectiveness of trauma-focused posttraumatic stress disorder (PTSD) treatments among military populations. The aim of the current systematic review was to evaluate PTSD treatment dropout rates among military populations by treatment type and other study-level variables. We searched four databases as well as gray literature for randomized controlled trials that evaluated evidence-based PTSD treatments in samples of active duty personnel and/or veterans. In total, 26 studies were included in this review, with a total of 2,984 participants. We analyzed dropout rates across treatment types using multivariate meta-analysis. Across all forms of treatment, the aggregated dropout rate was 24.2%. Dropout percentages based on treatment type were 27.1% for trauma-focused treatments, 16.1% for non-trauma-focused treatments, and 6.8% for waitlist groups. We found substantial heterogeneity between studies that was not explained by military status or other study-level covariates. Summary risk ratios (RRs) comparing relative dropout between treatment groups indicated that trauma-focused treatment groups had a higher risk of dropout compared to non-trauma-focused treatments, RR = 1.60. The statistical heterogeneity of within-treatment dropout risk ratios was negligible. Dropout rates among military patients receiving trauma-focused therapies were only slightly higher than those reported in the literature among civilian populations and were not explained by study-level covariates.

A systematic review evaluating screening instruments for gambling disorder finds lack of adequate evidence.

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.

Present-centered therapy (PCT) for post-traumatic stress disorder (PTSD) in adults.

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.

Establishing an Evidence Synthesis Capability For Psychological Health Topics in the Military Health System.

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.

Prediction Models for Suicide Attempts and Deaths: A Systematic Review and Simulation.

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.

Identifying research gaps in substance use disorder: A systematic methodology and prioritized list.

Background: This paper presents a new methodology for identifying and prioritizing research gaps, contributing to the nascent literature on systematic ways to identify research gaps. Objectives: The goal of this paper is to report on a gaps analysis of substance use disorder (SUD) research. Based on input from Military Health System stakeholders, we selected the following subtopics as priorities: alcohol use disorder (AUD) and comorbid conditions, prescription opioids, and novel synthetic drugs (NSDs), including synthetic cannabinoids, synthetic cathinones, novel synthetic opioids, and e-cigarette use. Methods: Statements of research needs were extracted from authoritative source reports. A work group of 13 subject matter experts then supplemented, consolidated, and refined the statements. Support for each statement was rated based on predetermined metrics to produce a list of high-priority potential research gaps. Work group members searched both published and ongoing research literature to determine whether these potential gaps were sufficiently addressed in the literature. Finally, to prioritize the gaps, work group members rated them on a set of metrics. Results: The work group reduced 175 statements of research needs to a list of 18 final prioritized gaps: nine for AUD, four for prescription opioids, and five for NSDs. For each topic, we present a prioritized list of gaps. Conclusions: This paper describes a method to identify and prioritize research gaps relevant to military and civilian research and presents the prioritized SUD gaps. Our methodology and findings can inform policy makers, researchers, and funding agencies as they consider investments in future research.

Collaborative Care for Depression and Posttraumatic Stress Disorder: Evaluation of Collaborative Care Fidelity on Symptom Trajectories and Outcomes.

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.

Posttraumatic Stress Disorder, Depression, and Other Comorbidities: Clinical and Systems Approaches to Diagnostic Uncertainties.

Overlap in the clinical presentation and significant rates of comorbidity complicate effective management of depression and PTSD, each presenting major health burdens for veterans and active-duty service members.