Management of Mental Health Disorders, Substance Use Disorders, and Suicide in Adults with Spinal Cord Injury: Clinical Practice Guideline for Healthcare Providers.

Association of Mood, Anxiety, and Substance Use Disorders With Occupational Status and Disability in a Community Sample

To determine the relations between obstructive sleep apnea (OSA) diagnosis, the likelihood of being diagnosed with a psychological condition, among obese veterans, after accounting for severity of obesity and the correlated nature of patients within facility. We hypothesized that (1) individuals with a diagnosis of OSA would be more likely to receive a diagnosis of a (a) mood disorder and (b) anxiety disorder, but not (c) substance use disorder. Cross-sectional retrospective database review of outpatient medical records between October 2009 and September 2010, conducted across all 140 Veterans Health Administration (VHA) facilities. The entire VA Health Care System. Population-based sample of veterans with obesity (N = 2,485,658). Physician- or psychologist-determined diagnosis of psychological conditions including mood, anxiety, and substance use disorders. Using generalized linear mixed modeling, after accounting for the correlated nature of patients within facility and the severity of obesity, individuals with a diagnosis of sleep apnea had increased odds of receiving a mood disorder diagnosis (OR = 1.85; CI = 1.71-1.72; p < 0.001), anxiety disorder diagnosis (OR = 1.82; CI = 1.77-1.84; p < 0.001), but not a diagnosis of substance use disorder. Among obese veterans within VA, OSA is associated with increased risk for having a mood and anxiety disorder, but not substance use disorder, with the strongest associations observed for posttraumatic stress disorder (PTSD) and major depressive disorder (MDD). In addition, this relation remained after accounting for severity of BMI.

Among people with diabetes, co-occurring mental health (MH) or substance use (SU) disorders increase the risk of medical complications. Identifying how to effectively promote long-term medical benefits for at-risk populations, such as people with MH or SU disorders, is essential. Knowing more about how health care accessed before the onset of diabetes is associated with health benefits after the onset of diabetes could inform treatment planning and population health management. To analyze how preexisting MH or SU disorders and primary care utilization before a new diabetes diagnosis are associated with the long-term severity of diabetes complications. This cohort study analyzed medical record data from US Department of Veterans Affairs health care systems nationwide and used mixed-effects regressions to test associations between prediabetes patient or health care factors and longitudinal progression of diabetes complication severity from 2006 to 2015. Participants included patients who received a new diabetes diagnosis in 2008 and who were aged 18 to 85 years at the time of their diagnosis. Data analysis was conducted from March to August 2017. Patients were assigned to groups on the basis of a 2-year look-back period for MH or SU disorders status (MH disorder only, SU disorder only, MH and SU disorder, or no MH or SU disorder diagnoses) and on the basis of the amount of primary care utilization before diabetes was diagnosed. Nine-year trajectories of Diabetes Complication Severity Index (DCSI) scores. Among 122 992 patients with newly diagnosed diabetes, the mean (SD) age was 62.3 (11.1) years, 118 810 (96.6%) were male, and 28 633 (23.3%) had preexisting MH or SU disorders diagnoses. From the onset of diabetes to 7 years later, patients' mean estimated DCSI scores increased from 0.84 (95% CI, 0.82-0.87) to 1.42 (95% CI, 1.36-1.47). Controlling for sociodemographic characteristics and medical comorbidities, SU disorders only (decrease in DCSI score, -0.09; 95% CI, -0.13 to -0.04; P < .001) or both MH and SU disorders (decrease in DCSI score, -0.13; 95% CI, -0.16 to -0.09; P < .001), but not MH disorders only, were associated with lower DCSI scores at the time of the onset of diabetes compared with no MH or SU disorders. More than 90% of patients with MH or SU disorders had primary care visits before diabetes was newly diagnosed, compared with approximately 58% of patients without MH or SU disorders. Patients who had primary care visits before the onset of diabetes had lower baseline DCSI scores, compared with patients who did not have primary care visits (decrease in DCSI score, -0.41 [95% CI, -0.43 to -0.39] for 1-2 visits, -0.50 [95% CI, -0.52 to -0.48] for 3-4 visits, -0.39 [95% CI, -0.41 to -0.37] for 5-8 visits, and -0.15 [95% CI, -0.17 to -0.12] for ≥9 visits; P < .001 for all). Patients with MH or SU disorders had lower overall, but more rapidly progressing, mean DCSI scores through year 7 after the onset of diabetes (MH disorder only, 0.006 [95% CI, 0.005-0.008], P < .001; SU disorder only, 0.005 [95% CI, 0.001-0.008], P = .004; or both MH and SU disorders, 0.008 [95% CI, 0.006-0.011], P < .001), compared with patients without MH or SU disorders. Access to and engagement in integrated health care may be associated with modest, albeit impermanent, long-term health benefits for patients with MH and/or SU disorders with newly diagnosed diabetes.

Perceived Effectiveness of Medications Among Mental Health Service Users With and Without Alcohol Dependence

Use of Psychoactive Substances and Health Care in Response to Anxiety and Depressive Disorders

Longitudinal analysis of SCI registry merged with VHA administrative-data and Medicare claims files (FY1999-2002). To estimate the prevalence of mental illness (MI) and substance use disorders (SUDs) among veteran health administration (VHA) clinic users with spinal cord injuries (SCI) and examine subgroup variations by demographic, socioeconomic characteristics, and duration and level of SCI. VHA clinic users (N=8338) with SCI who were alive by the end of FY2002. ICD-9-CM codes were used to identify individual MI (anxiety disorders, bipolar, depressive disorders, psychoses, post-traumatic stress disorder (PTSD) and schizophrenia) and categories of SUDs (tobacco, alcohol and drug abuse). Chi-square tests and multinomial logistic regression were used to examine the demographic and socio-economic profile of VHA users with SCI and MI and/or SUD. Over a 2-year period, 46% VHA users with SCI had either a MI or SUDs: 20% had MI only; 12% had SUD only and 14% had both. The most common MI was depressive disorder (27%) and tobacco use was highly prevalent (19%). African-Americans (versus whites) were less likely to be diagnosed with MI only. Increased duration of SCI lowered the likelihood of MI and/or SUDs. Mood and anxiety disorders were highly prevalent in veterans with SCI with chronic physical conditions such as diabetes, heart disease, hypertension, and respiratory diseases. Mental illness and SUDs are highly prevalent in the VHA population with SCI and is complicated by the high rates of chronic physical conditions, presenting challenges in their healthcare management.

Employment Among Persons With Past and Current Mood and Anxiety Disorders in the Israel National Health Survey

Parole Revocation Among Prison Inmates With Psychiatric and Substance Use Disorders

Deployment of personnel to military operations: impact on mental health and social functioning.

IntroductionIntegration of services to screen and manage mental health and substance use disorders (MSDs) into HIV care settings has been identified as a promising strategy to improve mental health and HIV treatment outcomes among people living with HIV/AIDS (PLWHA) in low‐ and middle‐income countries (LMICs). Data on the extent to which HIV treatment sites in LMICs screen and manage MSDs are limited. The objective of this study was to assess practices for screening and treatment of MSDs at HIV clinics in LMICs participating in the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium.MethodsWe surveyed a stratified random sample of 95 HIV clinics in 29 LMICs in the Caribbean, Central and South America, Asia‐Pacific and sub‐Saharan Africa. The survey captured information onsite characteristics and screening and treatment practices for depression, post‐traumatic stress disorder (PTSD), substance use disorders (SUDs) and other mental health disorders.ResultsMost sites (n = 76, 80%) were in urban areas. Mental health screening varied by disorder: 57% of sites surveyed screened for depression, 19% for PTSD, 55% for SUDs and 29% for other mental health disorders. Depression, PTSD, SUDs and other mental health disorders were reported as managed on site (having services provided at the HIV clinic or same health facility) at 70%, 51%, 41% and 47% of sites respectively. Combined availability of screening and on‐site management of depression, PTSD, and SUDs, and other mental health disorders was reported by 42%, 14%, 26% and 19% of sites, respectively. On‐site management of depression and PTSD was reported significantly less often in rural as compared to urban settings (depression: 33% and 78% respectively; PTSD: 24% and 58% respectively). Screening for depression and SUDs was least commonly reported by HIV programmes that treated only children as compared to HIV programmes that treated only adults or treated both adults and children.ConclusionsSignificant gaps exist in the management of MSDs in HIV care settings in LMICs, particularly in rural settings. Identification and evaluation of optimal implementation strategies to scale and sustain integrated MSDs and HIV care is needed.

Most youth in detention have 1 or more psychiatric disorders (1). Posttraumatic stress disorder (PTSD) is one of the more prevalent disorders in detention, affecting at least 1 in 10 youth (2–4). One of the more debilitating aspects of PTSD is its tendency to co-occur with other psychiatric disorders (5–7). In a community sample, Giaconia and colleagues (8) found that nearly four-fifths of those with lifetime PTSD also had one or more additional disorders. Studies of detained adolescent males in Russia (9) and detained adolescent females in Australia (10) found that all of the detainees with PTSD had at least 1 comorbid disorder. It is unclear if PTSD increases the vulnerability to other disorders or if there are common genetic or environmental factors underlying the disorders (5,11). Researchers agree, however, that comorbid disorders have an adverse impact on the prognosis and treatment of individuals with PTSD. Youth with PTSD and comorbid disorders have significantly more behavioral and health problems and more impaired interpersonal relationships than those without comorbid disorders (5). Effective treatment planning for detained youth with PTSD requires epidemiologic data on patterns of prevalence and comorbidity. Yet, to our knowledge, no epidemiologic study of detainees in the US has examined PTSD and comorbid psychiatric disorders. In this paper, we administered standardized diagnostic measures to a large, stratified random sample of detained youth to: (a) compare the prevalence of psychiatric disorders among juvenile detainees with and without PTSD and (b) examine the prevalence of PTSD among youth with and without other psychiatric disorders.

Medicolegal Issues with Reference to NDPS and MHCA in Management and Rehabilitation of Persons with Substance Use Disorders.

Impact of Intimate Partner Violence on Unmet Need for Mental Health Care: Results From the NSDUH

Psychiatric disorders are commonly associated with traumatic brain injury (TBI). However, pre- and post-injury frequencies of disorders are variable, and their course, associated risk factors and relationship with psychosocial outcome are poorly understood due to methodological inconsistencies. No studies have prospectively examined the full range of Axis I psychiatric disorders using semi-structured clinical interview. Accordingly, the main aims of the current study were to (a) investigate the nature and frequency of pre-injury psychiatric disorders; (b) prospectively examine the nature, frequency and course of Axis 1 psychiatric disorders in the first year post-injury; (c) prospectively examine the contribution of a broad range of demographic, injury-related and concurrent factors to the development of psychiatric disorders in the first year post-injury; (d) prospectively investigate the relationship between psychiatric disorder and post-injury psychosocial functioning; and (e) examine the temporal relationships between anxiety and depressive disorders with psychosocial outcome. Participants were recruited and assessed during inpatient rehabilitation admission and completed follow-up interviews at three, six and 12 months post-injury. Data from between 102 and 122 participants were utilised in the studies. Participants were predominantly young males with moderate to severe TBI. Psychiatric disorder was determined using the Structured Clinical Interview for DSM-IV Diagnosis (SCID) and measures of coping style, quality of life, neuropsychological functioning, psychosocial outcome, and pain were also utilised. More than half of participants had a pre-injury psychiatric disorder, predominantly substance use, anxiety and depressive disorders, which was equivalent to demographically adjusted population rates. In the year post-injury, 60.8% of participants had a psychiatric disorder, commonly anxiety and depressive disorders. Almost three-quarters of participants with a pre-injury history also had a post-injury disorder, which commonly presented at initial assessment or in the first six months. However, 45.8% of participants without a pre-injury history developed a novel post-injury disorder, which generally developed later in the year. Results of regression analyses revealed that post-injury psychiatric disorders were associated with earlier psychiatric disorder or psychiatric treatment. Absence of depression at one year post-injury was also predicted by absence of limb injury, whereas slower psychomotor speed was associated with reduced likelihood of later anxiety. Post-injury psychiatric disorders were associated with unemployment, pain, poor quality of life, and use of non-productive coping skills. Post-injury depressive disorders were not associated with concurrent measures of cognitive functioning, whereas anxiety disorders were associated with impairments on several measures of attention and executive functioning. At one year post-injury, the majority of participants had a moderate disability, with occupational activities the area most changed due to the injury, followed by interpersonal relationships and independent living. After controlling for relevant background factors (post-traumatic amnesia duration and orthopaedic injury), depression and anxiety diagnosed pre-injury or at the initial assessment were significantly related to one year psychosocial outcome. Earlier substance use disorder was not significantly associated with psychosocial outcome. Poor psychosocial outcome was associated with concurrent pain, non-productive coping style, unemployment, inability to drive, depressive disorder, anxiety disorder and impaired attention and executive functioning. Cross-lagged analyses demonstrated that poor psychosocial outcome preceded depression, whilst earlier depression did not affect later psychosocial outcome. A reciprocal relationship was found between anxiety and psychosocial outcome. The results of this study highlight the magnitude of the post-injury psychiatric disorder phenomenon which afflicts more than are spared. Even individuals who have received multi-disciplinary, funded, specialist inpatient rehabilitation experience severe and incapacitating distress in the first year after a TBI and this is associated with, and perhaps even caused by, poor psychosocial recovery. This research sheds some light on the factors that may help predict who is most at risk, and when these disorders are likely to emerge, so that clinicians may better instigate early intervention, and reduce the added emotional burden borne by injury survivors.

These Practice Guidelines for the Psychiatric Evaluation of Adults mark a transition in the American Psychiatric Association’s Practice Guidelines. Since the publication of the 2011 Institute of Medicine report Clinical Practice Guidelines We Can Trust, there has been an increasing focus on using clearly defined, transparent processes for rating the quality of evidence and the strength of the overall body of evidence in systematic reviews of the scientific literature. These guidelines were developed using a process intended to be consistent with the recommendations of the Institute of Medicine (2011), the Principles for theDevelopment of Specialty Society Clinical Guidelines of the Council of Medical Specialty Societies (2012), and the requirements of the Agency for Healthcare Research andQuality (AHRQ) for inclusion of a guideline in the National Guideline Clearinghouse. Parameters used for the guidelines’ systematic review are included with the full text of the guidelines; the development process is fully described in a document available on the APA website: http:// www.psychiatry.org/File%20Library/Practice/APA-GuidelineDevelopment-Process–updated-2011-.pdf. To supplement the expertise of members of the guideline work group, we used a “snowball” survey methodology to identify experts on psychiatric evaluation and solicit their input on aspects of the psychiatric evaluation that they saw as likely to improve specific patient outcomes (Yager 2014). Results of this expert survey are included with the full text of the practice guideline.