Trust and perceived mental health access: Exploring the relationship between perceived access barriers and veteran-reported trust.

The importance of patients' trust in health care is well known. However, identifying actionable access barriers to trust is challenging. The goal of these exploratory analyses is to identify actionable access barriers that correlate with and predict patients' lack of trust in providers and in the health care system. This article combines existing data from three studies regarding perceived access to mental health services to explore the relationship between provider and system trust and other access barriers. Data from the Perceived Access Inventory (PAI) were analyzed from three studies that together enrolled a total of 353 veterans who screened positive for a mental health problem and had a VA mental health encounter in the previous 12 months. The PAI includes actionable barriers to accessing VA mental health services. The data are cross-sectional, and analyses include Spearman rank correlations of PAI access barriers and provider and system trust, and linear regressions examining the effect of demographic, clinical, and PAI barriers on lack of trust in VA mental health providers and in the VA health care system. Age, depression, and anxiety symptoms and PAI items demonstrated statistically significant bivariate correlations with provider and system trust. However, in multivariate linear regressions, only PAI items remained statistically significant. The PAI items that predicted provider and system trust could be addressed in interventions to improve provider- and system-level trust. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Emergency Departments Treating Veterans for Suicide: Ensuring Quality Care for Veterans Outside of Department of Veterans Affairs Health Care Facilities.

INTRODUCTION: Veterans die by suicide at higher rates than nonveterans. Given that the emergency department is often the first point of entry to healthcare following a suicide attempt, it would be beneficial for community providers to have knowledge of the characteristics, medical issues, and effective treatments most often associated with those having served in the military to ensure guideline concordant and quality suicide care. This study aimed to identify assessment and referral practices of emergency departments at rural community hospitals related to care for suicidal veterans and explore the feasibility and acceptability of identifying veterans in need of postdischarge aftercare. METHODS: This qualitative exploratory study involved content analysis of semistructured interviews. Ten emergency clinicians from 5 rural Arkansas counties with high suicide rates were interviewed about their experiences working with suicidal patients within the emergency department and perceptions of assessment, management, and referral practices. RESULTS: Although most of the emergency departments had a process for assessing for suicide risk, emergency clinicians did not always feel confident in their knowledge of assessing and caring for suicidal patients. Military history was not included in assessment, treatment, or aftercare planning, nor were brief interventions such as safety planning or lethal means safety education provided. DISCUSSION: Best practices for suicide assessment and management of veterans exist; however, challenges specific to the emergency department regarding staff training and engaging the community to effectively link at-risk veterans to needed care hinder implementation. Veteran-inclusive assessment and intervention practices could enhance the quality of care provided in community emergency departments.

Evaluation of a Model to Target High-risk Psychiatric Inpatients for an Intensive Postdischarge Suicide Prevention Intervention.

Importance: The months after psychiatric hospital discharge are a time of high risk for suicide. Intensive postdischarge case management, although potentially effective in suicide prevention, is likely to be cost-effective only if targeted at high-risk patients. A previously developed machine learning (ML) model showed that postdischarge suicides can be predicted from electronic health records and geospatial data, but it is unknown if prediction could be improved by adding additional information. Objective: To determine whether model prediction could be improved by adding information extracted from clinical notes and public records. Design, Setting, and Participants: Models were trained to predict suicides in the 12 months after Veterans Health Administration (VHA) short-term (less than 365 days) psychiatric hospitalizations between the beginning of 2010 and September 1, 2012 (299 050 hospitalizations, with 916 hospitalizations followed within 12 months by suicides) and tested in the hospitalizations from September 2, 2012, to December 31, 2013 (149 738 hospitalizations, with 393 hospitalizations followed within 12 months by suicides). Validation focused on net benefit across a range of plausible decision thresholds. Predictor importance was assessed with Shapley additive explanations (SHAP) values. Data were analyzed from January to August 2022. Main Outcomes and Measures: Suicides were defined by the National Death Index. Base model predictors included VHA electronic health records and patient residential data. The expanded predictors came from natural language processing (NLP) of clinical notes and a social determinants of health (SDOH) public records database. Results: The model included 448 788 unique hospitalizations. Net benefit over risk horizons between 3 and 12 months was generally highest for the model that included both NLP and SDOH predictors (area under the receiver operating characteristic curve range, 0.747-0.780; area under the precision recall curve relative to the suicide rate range, 3.87-5.75). NLP and SDOH predictors also had the highest predictor class-level SHAP values (proportional SHAP = 64.0% and 49.3%, respectively), although the single highest positive variable-level SHAP value was for a count of medications classified by the US Food and Drug Administration as increasing suicide risk prescribed the year before hospitalization (proportional SHAP = 15.0%). Conclusions and Relevance: In this study, clinical notes and public records were found to improve ML model prediction of suicide after psychiatric hospitalization. The model had positive net benefit over 3-month to 12-month risk horizons for plausible decision thresholds. Although caution is needed in inferring causality based on predictor importance, several key predictors have potential intervention implications that should be investigated in future studies.

Lagniappes: "A Little Something Extra" or Unintended Positive Consequences of Implementation Facilitation.

OBJECTIVE: Implementation facilitation is an effective strategy that increases uptake of behavioral health interventions. Facilitation is grounded in partnerships with leadership and clinical stakeholders. Researchers have documented some negative consequences of facilitation-time, financial, and opportunity costs. Clinical leaders often agree to facilitation with the promise of increased implementation of an intervention. This study examined whether unintended positive consequences of facilitation might offset known costs. METHODS: This study was part of a stepped-wedge, hybrid type 2, pragmatic trial that used implementation facilitation to implement primary care mental health integration (PCMHI) via telehealth technology in six satellite Veterans Health Administration (VHA) clinics. Two facilitators provided facilitation for at least 6 months. This study included a focused analysis of an emerging phenomenon captured through weekly debriefing interviews with facilitators: unintended positive consequences of implementation facilitation, termed "lagniappes" here. A rapid content analysis was conducted to identify and categorize these consequences. RESULTS: The authors documented unintended positive consequences of the facilitation across the six VHA sites and categorized them into three clinically relevant domains: supporting PCMHI outreach at other clinics not in the original catchment area (e.g., providing tools to other sites), strengthening patient access (e.g., resolving unnecessary patient travel), and improving or modifying work processes (e.g., clarifying suicide assessment protocols). The positive consequences benefited sites and strengthened ongoing partnerships. CONCLUSIONS: Documenting unintended positive consequences of implementation facilitation may increase leadership engagement. Facilitators should consider leveraging unintended positive consequences as advantages for the site that may add efficiency to facility processes and workflows.

Association of Thyroid Function with Posttraumatic Stress Disorder: a Systematic Review and Meta-Analysis.

OBJECTIVE: To conduct a systematic review and meta-analysis describing the association of thyroid function with posttraumatic stress disorder (PTSD) in adults. METHODS: The authors conducted a comprehensive search from databases' inception to July 20, 2018. The meta-analysis included studies that reported mean values and standard deviation (SD) of thyroid hormone levels (thyroid-stimulating hormone [TSH], free thyroxine [FT4], free triiodothyronine [FT3], total T4 [TT4], and total T3 [TT3]) in patients with PTSD compared with controls. Five reviewers worked independently, in duplicate, to determine study inclusion, extract data, and assess risk of bias. The mean value and SD of the thyroid function tests were used to calculate the mean difference for each variable. Random-effects models for meta-analyses were applied. RESULTS: The meta-analysis included 10 observational studies at low-to-moderate risk of bias. Studies included 674 adults (373 PTSD, 301 controls). The meta-analytic estimates showed higher levels of FT3 (+0.28 pg/mL; P = .001) and TT3 (+18.90 ng/dL; P = .005) in patients with PTSD compared to controls. There were no differences in TSH, FT4, or TT4 levels between groups. In the subgroup analysis, patients with combat-related PTSD still had higher FT3 (+0.36 pg/mL; P = .0004) and higher TT3 (+31.62 ng/dL; P<.00001) compared with controls. Conversely, patients with non-combat-related PTSD did not have differences in FT3 or TT3 levels compared with controls. CONCLUSION: There is scarce evidence regarding the association of thyroid disorders with PTSD. These findings add to the growing literature suggesting that thyroid function changes may be associated with PTSD.

Targeting stigma of mental illness among primary care providers: Findings from a pilot feasibility study.

Stigmatizing attitudes among primary care (PC) providers potentially contribute to poor health outcomes for individuals with serious mental illness (SMI). In this pilot study, our primary aim is to test the feasibility, and preliminary implementation of two interventions (contact and education) to help change provider attitudes and behavior. Participants were 39 primary care providers from two Veterans Affairs medical centers with 19 randomized to the contact intervention and 20 to the education intervention. Both interventions were delivered in a group setting face-to-face. Stigmatizing attitudes were measured using Opening Minds Scale for Health Care Providers, Attribution Questionnaire and Social Distance Scale at baseline, one month and three months. Data were analyzed using repeated measures analysis of variance (ANOVA). Most providers were white, female, nurses, and older than age 50. For each of the three measures of stigmatizing attitudes there was no statistically significant treatment-by-time interaction rejecting our hypothesis that contact intervention will result in significantly greater reduction in stigmatizing attitudes. Qualitative analysis suggests that the contact intervention was perceived as much needed. This study informs future research to reduce provider stigma. Our intervention was modeled on interventions designed for the general public; different interventions may be needed for providers.

Using implementation facilitation to implement primary care mental health integration via clinical video telehealth in rural clinics: protocol for a hybrid type 2 cluster randomized stepped-wedge design.

BACKGROUND: Integrating mental health providers into primary care clinics improves access to and outcomes of mental health care. In the Veterans Health Administration (VA) Primary Care Mental Health Integration (PCMHI) program, mental health providers are co-located in primary care clinics, but the implementation of this model is challenging outside large VA medical centers, especially for rural clinics without full mental health staffing. Long wait times for mental health care, little collaboration between mental health and primary care providers, and sub-optimal outcomes for rural veterans could result. Telehealth could be used to provide PCMHI to rural clinics; however, the clinical effectiveness of the tele-PCMHI model has not been tested. Based on evidence that implementation facilitation is an effective implementation strategy to increase uptake of PCMHI when delivered on-site at larger VA clinics, it is hypothesized that this strategy may also be effective with regard to ensuring adequate uptake of the tele-PCMHI model at rural VA clinics. METHODS: This study is a hybrid type 2 pragmatic effectiveness-implementation trial of tele-PCMHI in six sites over 24 months. Tele-PCMHI, which will be delivered by clinical staff available in routine care settings, will be compared to usual care. Fidelity to the care model will be monitored but not controlled. We will use the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework to evaluate the patient-level clinical effectiveness of tele-PCMHI in rural VA clinics and also to evaluate the fidelity to and outcomes of the implementation strategy, implementation facilitation. The proposed study will employ a stepped-wedge design in which study sites sequentially begin implementation in three steps at 6-month intervals. Each step will include (1) a 6-month period of implementation planning, followed by (2) a 6-month period of active implementation, and (3) a final period of stepped-down implementation facilitation. DISCUSSION: This study will evaluate the effectiveness of PCMHI in a novel setting and via a novel method (clinical video telehealth). We will test the feasibility of using implementation facilitation as an implementation strategy to deploy tele-PCMHI in rural VA clinics. TRIAL REGISTRATION: ClinicalTrials.gov registration number NCT02713217 . Registered on 18 March 2016.

Medical Licensure Questions About Mental Illness and Compliance with the Americans With Disabilities Act.

Substantial numbers of medical students and physicians live with some form of mental illness. Over the years, many medical licensure boards have asked physician medical licensure applicants with Doctor of Medicine (MD) degrees intrusive questions about whether they have any psychiatric history. This has discouraged many who need psychiatric treatment from seeking it because of fear of the questions. Gradually, court decisions and the United States Department of Justice have established that such questions violate the Americans with Disabilities Act (ADA). The 2014 Louisiana Supreme Court Settlement Agreement set definite limits on law licensure mental health questions, followed by a least one licensing body revising its physician licensure questions to be consistent with ADA standards. In this article we examine the current medical licensure questions from each state and the District of Columbia about the mental health of applicants and discuss their validity under ADA standards. Our original investigation of these questions found that the majority still ask questions that are unlikely to meet ADA standards. The judicial and Department of Justice developments, however, may compel them to abandon these questions. If not, legal action will enforce ADA compliance. This change will significantly benefit applicants who need psychiatric treatment.

Prevalence of Chronic Kidney Disease, Thrombotic Cardiovascular Events, and Use of Oral P2Y12 Inhibitors among Veterans.

BACKGROUND: Contemporary prevalence of chronic kidney disease (CKD) and thrombotic cardiovascular (CV) events remains unclear in Veterans enrolled in the Veterans Affairs Health Care System (VA) care. Although oral P2Y12 inhibitors (P2Y12i) are increasingly being prescribed to this patient population, the overall prescription trend for P2Y12i remains unclear. METHODS: Using national VA corporate warehouse data, we used International Classification of Diseases-9 codes to identify Veterans with CKD, dialysis-dependent CKD, and CV events. VA pharmacy data were used to count P2Y12i prescriptions for the federal fiscal years (FY) 2011 through 2015. RESULTS: The period prevalence of Veterans with CKD was 378,233 (6.1%). The point prevalence of CKD increased by 49% from 132,979 (2.30%) in FY11 to 213,444 (3.42%) in FY15. The period prevalence of Veterans with dialysis-dependent CKD was 150,298 (2.4%). In all, 128,703 (56.7%) CV events occurred in Veterans with CKD. Veterans with CKD were given 50.1% of prescriptions for clopidogrel, 49.3% for prasugrel, and 60.4% for ticagrelor. In this patient population, year-to-year increases in P2Y12i prescriptions were observed with a dramatic increase in ticagrelor prescriptions. CONCLUSION: CKD is common among Veterans and its true prevalence is likely being underestimated. The prevalence of dialysis-dependent CKD is higher among Veterans than the non-Veteran US population. CV events are widely co-prevalent and these patients are commonly prescribed P2Y12i. The recent increase in ticagrelor prescriptions in this patient population and large cost differences between the 3 P2Y12i underline the need for future studies to identify the preferred P2Y12i for these patients.

Implementation Science Supports Core Clinical Competencies: An Overview and Clinical Example.

OBJECTIVE: Instead of asking clinicians to work faster or longer to improve quality of care, implementation science provides another option. Implementation science is an emerging interdisciplinary field dedicated to studying how evidence-based practice can be adopted into routine clinical care. This article summarizes principles and methods of implementation science, illustrates how they can be applied in a routine clinical setting, and highlights their importance to practicing clinicians as well as clinical trainees. METHOD: A hypothetical clinical case scenario is presented that explains how implementation science improves clinical practice. The case scenario is also embedded within a real-world implementation study to improve metabolic monitoring for individuals prescribed antipsychotics. RESULTS: Context, recipient, and innovation (ie, the evidence-based practice) factors affected improvement of metabolic monitoring. To address these factors, an external facilitator and a local quality improvement team developed an implementation plan involving a multicomponent implementation strategy that included education, performance reports, and clinician follow-up. The clinic remained compliant with recommended metabolic monitoring at 1-year follow up. CONCLUSIONS: Implementation science improves clinical practice by addressing context, recipient, and innovation factors and uses this information to develop and utilize specific strategies that improve clinical practice. It also enriches clinical training, aligning with core competencies by the Accreditation Council for Graduate Medical Education and American Boards of Medical Specialties. By learning how to change clinical practice through implementation strategies, clinicians are more able to adapt in complex systems of practice.

Sex Differences in Weight Loss among Veterans with Serious Mental Illness: Observational Study of a National Weight Management Program.

PURPOSE: Obesity disproportionately burdens individuals with serious mental illness (SMI), especially women. This observational study investigated whether there were sex differences in weight loss and program participation among veterans with SMI enrolled in the Veterans Health Administration's (VHA) MOVE! weight management program. PROCEDURES: Participants were identified from a national cohort of 148,254 veterans enrolled in MOVE! during fiscal years 2008 through 2012 who attended two or more sessions within 12 months of enrollment. The cohort included those with International Classification of Disease, 9th Edition, Clinical Modification (ICD-9-CM) diagnoses for SMI, age less than 70 years, and weight data at baseline and one or more follow-up timepoints within approximately 1 year of enrollment (n = 8,943 men; n = 2,245 women). Linear mixed models assessed associations of sex with 6- and 12-month weight change from baseline, adjusting for demographic- and site-level variables. FINDINGS: Both sexes averaged 6.4 (standard deviation, 4.6) sessions within 12 months; however, women with and without SMI participated at rates double their respective proportion rates among all VHA users. Participants averaged statistically significant weight loss at 6 months (men, -2.5 lb [95% CI, -2.8 to -2.1]; women, -2.4 lb [95% CI, -3.1 to -1.7]) and 12 months (men, -2.5 lb [95% CI, -2.8 to -2.2]; women, -2.9 lb [95% CI, -3.6 to -2.2]), but no sex-based difference in absolute weight loss at either timepoint. Slightly more women achieved 5% or greater (clinically significant) weight loss at the 12-month follow-up than did men (25.7% vs. 23.0%; p < .05). CONCLUSIONS: Women with SMI participated in MOVE! at rates equivalent to or greater than men with SMI, with comparable weight loss. More women were Black, single, had bipolar and posttraumatic stress disorder, and higher service-connected disability, suggesting areas for program customization.

Multi-family Group Treatment for Veterans with Mood Disorders: A Pilot Study.

Mood disorders affect large numbers of individuals and their families; the ripple effects on relationship functioning can be great. Researchers have advocated for a relational perspective to mood disorder treatment, and several promising treatments have been developed. However, few rigorous evaluations have been conducted within the Veterans Affairs (VA) system. Multifamily group therapy, an evidence-based practice for people living with schizophrenia, has recently been adapted for other psychological disorders with promising results. This report describes the first published evaluation of this treatment modality in the VA system for veterans living with mood disorders. 101 male veterans (74 with major depression and 27 with bipolar disorder) and their family members participated in REACH (Reaching out to Educate and Assist Caring, Healthy Families), a 9-month, manualized, multi-family group treatment, intervention adapted from McFarlane's original multi-family group model. Participants completed self-report questionnaires at four time points across the course of the treatment, and service utilization data for veterans were obtained from VA databases. Both veterans and family members showed improvements in their knowledge about mood disorders, understanding of positive strategies for dealing with situations commonly confronted in mood disorders, and family coping strategies. Veterans also evidenced improvement in family communication and problem-solving behaviors, empowerment, perceived social support, psychiatric symptoms, and overall quality of life. The REACH intervention holds promise as a feasible, acceptable, and effective treatment for veterans living with mood disorders and their families. Further study is warranted.

Perspectives of family and veterans on family programs to support reintegration of returning veterans with posttraumatic stress disorder.

Combat deployment and reintegration are challenging for service members and their families. Although family involvement in mental health care is increasing in the U.S. Department of Veterans Affairs (VA) system, little is known about family members' preferences for services. This study elicited the perspectives of returning Afghanistan and Iraq war veterans with posttraumatic stress disorder and their families regarding family involvement in veterans' mental health care. Semistructured qualitative interviews were conducted with 47 veterans receiving care for posttraumatic stress disorder at the Central Arkansas Veterans Healthcare System or Oklahoma City VA Medical Center and 36 veteran-designated family members. Interviews addressed perceived needs related to veterans' readjustment to civilian life, interest in family involvement in joint veteran/family programs, and desired family program content. Interview data were analyzed using content analysis and constant comparison. Both groups strongly supported inclusion of family members in programs to facilitate veterans' postdeployment readjustment and reintegration into civilian life. Both desired program content focused on information, practical skills, support, and gaining perspective on the other's experience. Although family and veteran perspectives were similar, family members placed greater emphasis on parenting-related issues and the kinds of support they and their children needed during and after deployment. To our knowledge, this is the first published report on preferences regarding VA postdeployment reintegration support that incorporates the perspectives of returning male and female veterans and those of their families. Findings will help VA and community providers working with returning veterans tailor services to the needs and preferences of this important-to-engage population.

Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care Settings.

Integrating two distinct and complementary paradigms, science and engineering, may produce more effective outcomes for the implementation of evidence-based practices in health care settings. Science formalizes and tests innovations, whereas engineering customizes and optimizes how the innovation is applied tailoring to accommodate local conditions. Together they may accelerate the creation of an evidence-based healthcare system that works effectively in specific health care settings. We give examples of applying engineering methods for better quality, more efficient, and safer implementation of clinical practices, medical devices, and health services systems. A specific example was applying systems engineering design that orchestrated people, process, data, decision-making, and communication through a technology application to implement evidence-based depression care among low-income patients with diabetes. We recommend that leading journals recognize the fundamental role of engineering in implementation research, to improve understanding of design elements that create a better fit between program elements and local context.

National evaluation of obesity screening and treatment among veterans with and without mental health disorders.

OBJECTIVE: The objective was to determine whether obesity screening and weight management program participation and outcomes are equitable for individuals with serious mental illness (SMI) and depressive disorder (DD) compared to those without SMI/DD in Veterans Health Administration (VHA), the largest integrated US health system, which requires obesity screening and offers weight management to all in need. METHODS: We used chart-reviewed, clinical and administrative VHA data from fiscal years 2010-2012 to estimate obesity screening and participation in the VHA's weight management program (MOVE!) across groups. Six- and 12-month weight changes in MOVE! participants were estimated using linear mixed models adjusted for confounders. RESULTS: Compared to individuals without SMI/DD, individuals with SMI or DD were less frequently screened for obesity (94%-94.7% vs. 95.7%) but had greater participation in MOVE! (10.1%-10.4% vs. 7.4%). MOVE! participants with SMI or DD lost approximately 1 lb less at 6 months. At 12 months, average weight loss for individuals with SMI or neither SMI/DD was comparable (-3.5 and -3.3 lb, respectively), but individuals with DD lost less weight (mean=-2.7 lb). CONCLUSIONS: Disparities in obesity screening and treatment outcomes across mental health diagnosis groups were modest. However, participation in MOVE! was low for every group, which limits population impact.

Monitoring and managing metabolic effects of antipsychotics: a cluster randomized trial of an intervention combining evidence-based quality improvement and external facilitation.

BACKGROUND: Treatment of psychotic disorders consists primarily of second generation antipsychotics, which are associated with metabolic side effects such as overweight/obesity, diabetes, and dyslipidemia. Evidence-based clinical practice guidelines recommend timely assessment and management of these conditions; however, research studies show deficits and delays in metabolic monitoring and management for these patients. This protocol article describes the project 'Monitoring and Management for Metabolic Side Effects of Antipsychotics,' which is testing an approach to implement recommendations for these practices. METHODS/DESIGN: This project employs a cluster randomized clinical trial design to test effectiveness of an evidence-based quality improvement plus facilitation intervention. Eligible study sites were VA Medical Centers with ≥300 patients started on a new antipsychotic prescription in a six-month period. A total of 12 sites, matched in pairs based on scores on an organizational practice survey, were then randomized within pairs to intervention or control conditions.Study participants include VA employees involved in metabolic monitoring and management of patients treated with antipsychotics at participating sites. The intervention involves researchers partnering with clinical stakeholders to facilitate tailoring of local implementation strategies to address barriers to metabolic side-effect monitoring and management. The intervention includes a Design Phase (initial site visit and subsequent development of a local implementation plan); Implementation Phase (guided by an experienced external facilitator); and a Sustainability Phase. Evaluation includes developmental, implementation-focused, progress-focused and interpretative formative evaluation components, as well as summative evaluation. Evaluation methods include surveys, qualitative data collection from provider participants, and quantitative data analysis of data for all patients prescribed a new antipsychotic medication at a study site who are due for monitoring or management of metabolic side effects during the study phases. Changes in rates of recommended monitoring and management actions at intervention and control sites will be compared using time series analyses. DISCUSSION: Improving monitoring for metabolic side effects of antipsychotics, as well as promoting timely evidence-based management when these effects emerge, will lead to improved patient safety and long-term outcomes. This article discusses key strengths and challenges of the study. TRIAL REGISTRATION: NCT01875861.

Lessons learned from two peer-led mutual support groups.

This case report and analysis describe the formation of two peer-led mutual support groups conducted within the context of a Veterans Administration Medical Center. Based on our assessment of the success of one of these groups and the failure of the other, we offer several recommendations and suggestions to help promote this modality. More specifically, we hypothesize that such groups are more likely to be successful (1) if participants are transferred en masse from another group, (2) that, at least initially, housing the group in the same context as formal clinician-led groups or overlapping clinician-led and peer-led groups may help smooth the transition from authority-led treatment to a mutual peer support format, and finally, (3) that prior experiences in interpersonal process groups may promote the skills and cohesion to promote successful transition to mutual support.

Monitoring veterans for metabolic side effects when prescribing antipsychotics.

OBJECTIVE: This study examined practices for monitoring metabolic side effects of antipsychotics at 32 Veterans Affairs (VA) facilities. METHODS: This retrospective cohort analysis included outpatients receiving a new antipsychotic prescription from April 2008 through March 2009 in Veterans Integrated Service Networks 18­22 (N=12,009). Data from national and regional VA data sources were used to examine the extent to which weight, glucose (or hemoglobin A1c), and low-density lipoprotein (LDL) cholesterol were monitored within 30 days of the new prescription (baseline) and 60­120 days thereafter, consistent with American Diabetes and American Psychiatric Association consensus recommendations. Repeated-measures analysis using the generalized estimating equation for binary variables examined the association of patient characteristics with likelihood of monitoring. RESULTS: Monitoring of the three metabolic parameters was significantly greater at baseline than at follow-up (p<.001). Weight was the most frequently monitored parameter. Having a diagnosis of diabetes or dyslipidemia was significantly associated with greater monitoring rates. Although monitoring rates did not vary significantly by psychiatric diagnosis, patients without a psychiatric diagnosis were less likely to be monitored than those with schizophrenia. Compared with patients taking antipsychotics with the lowest metabolic risk, those taking high-risk antipsychotics were more likely to have weight monitored at baseline (adjusted odds ratio [AOR]=1.20), whereas patients prescribed medium-risk antipsychotics were more likely to be monitored at baseline for glucose (AOR=1.12) and LDL (AOR=1.11). CONCLUSIONS: Efforts to improve monitoring of antipsychotics' metabolic side effects are needed and should be applied for all patients regardless of diagnosis.

Telephone monitoring and support after discharge from residential PTSD treatment: a randomized controlled trial.

OBJECTIVE: This study assessed whether adding a telephone care management protocol to usual aftercare improved the outcomes of veterans in the year after they were discharged from residential treatment for posttraumatic stress disorder (PTSD). METHODS: In a multisite randomized controlled trial, 837 veterans entering residential PTSD treatment were assigned to receive either standard outpatient aftercare (N=425) or standard aftercare plus biweekly telephone monitoring and support (N=412) for three months after discharge. Symptoms of PTSD and depression, violence, substance use, and quality of life were assessed by self-report questionnaires at intake, discharge, and four and 12 months postdischarge. Treatment utilization was determined from the Department of Veterans Affairs administrative data. RESULTS: Telephone case monitors reached 355 participants (86%) by phone at least once and provided an average of 4.5 of the six calls planned. Participants in the telephone care and treatment-as-usual groups showed similar outcomes on all clinical measures. Time to rehospitalization did not differ by condition. In contrast with prior studies reporting poor treatment attendance among veterans, participants in both telephone monitoring and treatment as usual completed a mental health visit an average of once every ten days in the year after discharge. Many participants had continuing problems despite high utilization of outpatient care. CONCLUSIONS: Telephone care management had little incremental value for patients who were already high utilizers of mental health services. Telephone care management could potentially be beneficial in settings where patients experience greater barriers to engaging with outpatient mental health care after discharge from inpatient treatment.