Nursing Staff in a Large Hospital System Underutilize Insurance-Based Mental Health Services.

Nurses are at high risk of burnout and subsequent mental health concerns due to problems with overstaffing, immense workload volume, and personal health risks associated with the job. Effective mental health treatments are available but potential barriers to receiving care may prevent nurses from benefiting. The Emotional Health and Well-Being Clinic (EHWC) at Houston Methodist is an outpatient mental health clinic offering therapy and medication management services for employees and employee dependents of our institution. The EHWC is uniquely positioned to observe how nurses utilize mental health services and to address barriers to effective care for this vital group of healthcare professionals. This paper provides descriptive data on the utilization of mental health services by nurses in the EHWC and a discussion of possible challenges faced by this group when seeking care. Based on these data, we propose potential solutions to ensure that nurses can achieve maximum benefit from outpatient mental health services.

A Comprehensive Approach to Addressing the Burnout Crisis Among US Health Care Workers: The Houston Methodist Experience.

Health care workers experience high rates of burnout and psychiatric distress. A large health care system in the southwest United States developed a comprehensive mental health service model for employees. Services offered range from traditional benefits (eg, Employee Assistance Program), resiliency and well-being initiatives, and innovative technology solutions, to access to peer support services for professional practice issues. The latest innovation in services is a free, self-insured outpatient mental health clinic designed exclusively for health care workers and their dependents. In this article, the authors describe the development of expanded mental health programming for health care workers and discuss how this unique service model proactively reduces common barriers to the receipt of high-quality care. This approach to caring for the workforce may serve as a model for other health care organizations across the United States. By providing mental health support to employees, health care organizations are mitigating the risk of burnout and related consequences to the system.

Reducing psychiatric illness in the perinatal period: A review and commentary.

This brief overview highlights the global crisis of perinatal psychiatric illness (PPI). PPI is a major contributor to many adverse pregnancy, childbirth, and childhood development outcomes. It contributes to billions of dollars in spending worldwide each year and has a significant impact on the individual, their family, and their community. It is also highly preventable. Current recommendations for intervention and management of PPI are limited and vary considerably from country to country. Furthermore, there are several significant challenges asso-ciated with implementation of these recommendations. These challenges are magnified in number and consequence among women of color and/or minority populations, who experience persistent and negative health disparities during pregnancy and the postpartum period. This paper aims to provide a broad overview of the current state of recommendations and implementation challenges for PPI and layout a framework for overcoming these challenges. An equity-informed model of care that provides universal intervention for pregnant women may be one solution to address the preventable consequences of PPI on child and maternal health. Uniquely, this model emphasizes the importance of managing and eliminating known barriers to traditional health care models. Culturally and contextually specific challenges must be overcome to fully realize the impact of improved management of PPI.

History of childhood physical abuse is associated with gut microbiota diversity among adult psychiatric inpatients.

BACKGROUND: Traumatic life events are associated with the development of psychiatric and chronic medical illnesses. This exploratory study examined the relationship between traumatic life events and the gut microbiota among adult psychiatric inpatients. METHODS: 105 adult psychiatric inpatients provided clinical data and a single fecal sample shortly after admission. A modified version of the Stressful Life Events Screening Questionnaire was used to quantify history of traumatic life events. 16S rRNA gene sequencing was used to analyze the gut microbial community. RESULTS: Gut microbiota diversity was not associated with overall trauma score or any of the three trauma factor scores. Upon item-level analysis, history of childhood physical abuse was uniquely associated with beta diversity. Linear Discriminant Analysis Effect Size (LefSe) analyses revealed that childhood physical abuse was associated with abundance of distinct bacterial taxa associated with inflammation. LIMITATIONS: This study did not account for dietary differences, though diet was highly restricted as all participants were psychiatric inpatients. Absolute variance accounted for by the taxa was small though practically meaningful. The study was not powered for full subgroup analysis based on race and ethnicity. CONCLUSIONS: This study is among the first to demonstrate a relationship between childhood physical abuse and gut microbiota composition among adult psychiatric patients. These findings suggest that early childhood adverse events may have long-conferred systemic consequences. Future efforts may target the gut microbiota for the prevention and/or treatment of psychiatric and medical risk associated with traumatic life events.

Differential co-expression networks of the gut microbiota are associated with depression and anxiety treatment resistance among psychiatric inpatients.

BACKGROUND: Comorbid anxiety and depression are common and are associated with greater disease burden than either alone. Our recent efforts have identified an association between gut microbiota dysfunction and severity of anxiety and depression. In this follow-up, we applied Differential Co-Expression Analysis (DiffCoEx) to identify potential gut microbiota biomarker(s) candidates of treatment resistance among psychiatric inpatients. METHODS: In a sample of convenience, 100 psychiatric inpatients provided clinical data at admission and discharge; fecal samples were collected early during the hospitalization. Whole genome shotgun sequencing methods were used to process samples. DiffCoEx was used to identify clusters of microbial features significantly different based on treatment resistance status. Once overlapping features were identified, a knowledge-mining tool was used to review the literature using a list of microbial species/pathways and a select number of medical subject headlines (MeSH) terms relevant for depression, anxiety, and brain-gut-axis dysregulation. Network analysis used overlapping features to identify microbial interactions that could impact treatment resistance. RESULTS: DiffCoEx analyzed 10,403 bacterial features: 43/44 microbial features associated with depression treatment resistance overlapped with 43/114 microbial features associated with anxiety treatment resistance. Network analysis resulted in 8 biological interactions between 16 bacterial species. Clostridium perfringens evidenced the highest connection strength (0.95). Erysipelotrichaceae bacterium 6_1_45 has been most widely examined, is associated with inflammation and dysbiosis, but has not been associated with depression or anxiety. CONCLUSION: DiffCoEx potentially identified gut bacteria biomarker candidates of depression and anxiety treatment-resistance. Future efforts in psychiatric microbiology should examine the mechanistic relationship of identified pro-inflammatory species, potentially contributing to a biomarker-based algorithm for treatment resistance.

At-home, sublingual ketamine telehealth is a safe and effective treatment for moderate to severe anxiety and depression: Findings from a large, prospective, open-label effectiveness trial.

BACKGROUND: At-home Ketamine-assisted therapy (KAT) with psychosocial support and remote monitoring through telehealth platforms addresses access barriers, including the COVID-19 pandemic. Large-scale evaluation of this approach is needed for questions regarding safety and effectiveness for depression and anxiety. METHODS: In this prospective study, a large outpatient sample received KAT over four weeks through a telehealth provider. Symptoms were assessed using the Patient Health Questionnaire (PHQ-9) for depression, and the Generalized Anxiety Disorder scale (GAD-7) for anxiety. Demographics, adverse events, and patient-reported dissociation were also analyzed. Symptom trajectories were identified using Growth Mixture Modeling, along with outcome predictors. RESULTS: A sample of 1247 completed treatment with sufficient data, 62.8 % reported a 50 % or greater improvement on the PHQ-9, d = 1.61, and 62.9 % on the GAD-7, d = 1.56. Remission rates were 32.6 % for PHQ-9 and 31.3 % for GAD-7, with 0.9 % deteriorating on the PHQ-9, and 0.6 % on the GAD-7. Four patients left treatment early due to side effects or clinician disqualification, and two more due to adverse events. Three patient subpopulations emerged, characterized by Improvement (79.3 %), Chronic (11.4 %), and Delayed Improvement (9.3 %) for PHQ-9 and GAD-7. Endorsing side effects at Session 2 was associated with delayed symptom improvement, and Chronic patients were more likely than the other two groups to report dissociation at Session 4. CONCLUSION: At-home KAT response and remission rates indicated rapid and significant antidepressant and anxiolytic effects. Rates were consistent with laboratory- and clinic-administered ketamine treatment. Patient screening and remote monitoring maintained low levels of adverse events. Future research should assess durability of effects.

Functional Rehabilitation: An Integrated Treatment Model for Patients With Complex Physical and Psychiatric Conditions.

The health care delivery system in the United States, structured to provide single-disease care, presents unique challenges for patients with complex physical and psychiatric comorbidities. Patients in these populations are often referred to multiple specialty clinics, encounter little continuity of care or collaboration among their providers, incur high health care costs, and experience poor treatment outcomes. Given these barriers, questions remain about the extent to which siloed and fragmented care, as opposed to the complex nature of the illnesses themselves, contribute to poor outcomes. If given the opportunity to receive well-integrated, consistent, and personalized care, can patients with historically difficult-to-treat comorbid medical and mental illnesses make progress? This article describes an innovative model of care called functional rehabilitation that is designed to address existing barriers in treatment. The functional rehabilitation program seeks to disrupt the escalating effects of interacting comorbidities by offering highly collaborative treatment from a small team of clinicians, personalized interventions using a shared decision-making framework, multipronged treatment options, colocation in a large hospital system, and significant 1:1 time with patients. The article includes a case example with longitudinal outcome data that illustrates how progress can be made with appropriate programmatic supports. Future research should examine the cost-effectiveness of this model of care.

Predicting depression outcomes throughout inpatient treatment using the general and specific personality disorder factors.

BACKGROUND: Clinical intuition suggests that personality disorders hinder the treatment of depression, but research findings are mixed. One reason for this might be the way in which current assessment measures conflate general aspects of personality disorders, such as overall severity, with specific aspects, such as stylistic tendencies. The goal of this study was to clarify the unique contributions of the general and specific aspects of personality disorders to depression outcomes. METHODS: Patients admitted to the Menninger Clinic, Houston, between 2012 and 2015 (N = 2352) were followed over a 6-8-week course of multimodal inpatient treatment. Personality disorder symptoms were assessed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition Axis II Personality Screening Questionnaire at admission, and depression severity was assessed using the Patient Health Questionnaire-9 every fortnight. General and specific personality disorder factors estimated with a confirmatory bifactor model were used to predict latent growth curves of depression scores in a structural equation model. RESULTS: The general factor predicted higher initial depression scores but not different rates of change. By contrast, the specific borderline factor predicted slower rates of decline in depression scores, while the specific antisocial factor predicted a U shaped pattern of change. CONCLUSIONS: Personality disorder symptoms are best represented by a general factor that reflects overall personality disorder severity, and specific factors that reflect unique personality styles. The general factor predicts overall depression severity while specific factors predict poorer prognosis which may be masked in prior studies that do not separate the two.

Personality trait domains predict psychiatric symptom and functional outcomes.

A review of high intensity, high dose mentalization-based inpatient psychiatric treatment indicated large effect-size reductions in symptoms of depression, anxiety, somatization, and improving emotion-regulation functioning (Allen et al., 2017). This study examined the impact of pathological personality traits has on baseline symptoms and functioning, as well as their impact on the longitudinal course in a large cohort of adult inpatient psychiatric sample (N = 804). The Personality Inventory for DSM-5 (PID-5; Krueger et al., 2012) was used to assess trait domains impact on longitudinal outcomes (anxiety, depression, somatic symptoms, and functional impairment) using hierarchical repeated measures modeling. Results indicate Negative Affectivity and Detachment were related to higher admission severity in all four outcome domains. Psychoticism was related to somatic symptoms, while Antagonism and Disinhibition were related to functional impairment. Paradoxically, when symptoms were plotted over 2-week intervals during hospitalization, patients with higher admission PID-5 trait scores exhibited greater improvement over time. The PID-5 appears to contribute to prediction of treatment outcome response above and beyond demographic and burden of illness. Importantly, the findings add to a growing body of literature indicating that impairments in personality traits do not preclude positive treatment response, particularly when treatments target pathological personality features. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Attachment Style Mediates the Relationship between Trauma and Somatic Distress among Individuals with Serious Mental Illness.

Objective: Individuals with mental illnesses severe enough to require psychiatric hospitalization often have significant trauma histories, have developed maladaptive attachment styles, and experience comorbid somatic distress. Gaining an understanding about the interaction of such factors may lead to prioritizing interventions that target factors that mediate the relationship between trauma and adverse somatic distress. Prior research has examined various mediation models, but results have been mixed and conducted only on outpatient samples.Method: Participants (47.7% female) in a large sample (N = 2702) with a mean age of 34.62 (SD = 14.7) were enrolled in a specialist inpatient program and completed self-report measures pertaining to demographics, attachment insecurity, lifetime trauma exposure, and somatic distress within 72 hours of admission. The dimensions of attachment insecurity (i.e., attachment anxiety and attachment avoidance) were tested as parallel mediators in the relationship between lifetime trauma exposure and somatic distress.Results: The mediation analyses revealed that attachment anxiety and avoidance partially mediated the relationship between lifetime trauma exposure and somatic distress.Conclusions: These results are the first to date to implicate both attachment anxiety and avoidance as mediators between trauma exposure and somatic distress in a high acuity sample. Although the results do not imply causality, they do call attention to social-cognitive factors related to somatic distress and highlight the importance of considering attachment styles as a possible contributor to comorbid physical symptoms in patients with trauma exposure.

Improving Psychiatric Care Through Integrated Digital Technologies.

This manuscript provides an overview of our efforts to implement an integrated electronic monitoring and feedback platform to increase patient engagement, improve care delivery and outcome of treatment, and alert care teams to deterioration in functioning. Patients First utilizes CareSense, a digital care navigation and data collection system, to integrate traditional patient-reported outcomes monitoring with novel biological monitoring between visits to provide patients and caregivers with real-time feedback on changes in symptoms such as stress, anxiety, and depression. The next stage of project development incorporates digital therapeutics (computerized therapeutic interventions) for patients, and video resources for primary care physicians and nurse practitioners who serve as the de facto front line for psychiatric care. Integration of the patient-reported outcomes monitoring with continuous biological monitoring, and digital supports is a novel application of existing technologies. Video resources pushed to care providers whose patients trigger a symptom severity alert is, to our knowledge, an industry first.

Diagnostic accuracy of DSM-5 borderline personality disorder criteria: Toward an optimized criteria set.

OBJECTIVE: The polythetic system used by the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) for diagnosing borderline personality disorders (BPD) is far from optimal; however, accumulated research and clinical data are strong enough to warrant ongoing utilization. This study examined diagnostic efficiency of the nine DSM-IV BPD criteria, then explored the feasibility of an optimized criteria set in classifying BPD. METHODS: Adults (N=1,623) completed the Structured Clinical Interviews for DSM-IV Axis II Disorders resulting in a BPD group (n=352) and an inpatient psychiatric control group (PC) with no personality disorders (n=1,271). Receiver operator characteristics and diagnostic efficiency statistics were calculated to ascertain the relative diagnostic efficiency of each DSM-5 BPD criterion in classifying BPD cases. RESULTS: Affective instability (Criterion 6) evidenced the strongest capacity to differentiate the groups (AUC = .84, SE = .01, p < .0001). Abandonment fears (Criterion 1), unstable relationships (Criterion 2), identity disturbance (Criterion 3), impulsivity (Criterion 4), and chronic emptiness (Criterion 7) yielded good-to-moderate discrimination (AUC range = .75-.79). A composite index of these six criteria yielded excellent accuracy (AUC = .98, SE = .002, p < .0001), sensitivity (SN=.99), and specificity (SP=.90). CONCLUSIONS: The current findings add to evidence that affective instability is a useful gate criterion for screening, and the optimized criteria set evidences equivalent accuracy to the original 9 criteria, with a substantial reduction in estimated heterogeneity (from 256 combinations with the original set to 42 combinations with the optimized set).

Adapting an Outpatient Psychiatric Clinic to Telehealth During the COVID-19 Pandemic: A Practice Perspective.

As the demand for telepsychiatry increases during the COVID-19 pandemic, the strengths and challenges of telepsychiatry implementation must be articulated to improve clinical practices in the long term. Currently, observations within US contexts are lacking; therefore, we report on the rapid implementation of telepsychiatry and workflow experiences in a psychiatric practice based within a large health care system in southeast Texas with a national catchment area. We discuss the logistics of the implementation, including modes of communication, scheduling, coordination, and capacity; the psychological effects of web-based services, including both the loss of the physical therapeutic environment and the unique interpersonal dynamics experienced in the virtual environment; and postadoption patterns of engagement with our services and with other clinical functions affected by the rapid adaptation to telemedicine. Our art therapy group programming serves as an applied case study, demonstrating the value of a well-managed web-based program (eg, patients were receptive and well-engaged, and they appreciated the continuity of accessible service) as well as the challenges (eg, the need for backup plans and technological fallbacks, managing interruptions and telecommunication learning curves, and working around the difference in resources for art and music therapy between a well-stocked clinical setting versus clients' home spaces). We conclude from our experience that the overall strengths of telepsychiatry include receptive and well-engaged responses from patients as well as the expansion of boundaries, which provides a directly contextualized view into patients' home lives. Challenges and corresponding recommendations include the need for more careful safety planning for high-risk patients; maintaining professional boundaries in the newly informal virtual setting; designing the physical space to both frame the patient encounter and maintain work-life balance for the therapist; allowing for delays and interruptions (including an initial acclimation session); and preserving interprofessional care team collaboration when the physical locations that normally facilitate such encounters are not accessible. We believe that careful observations of the strengths and challenges of telepsychiatry during this pandemic will better inform practices that are considering telepsychiatry adoption both within pandemic contexts and more broadly thereafter.

Lifetime and prospective associations among personality trait domains and suicide-related behaviors in patients with severe mental illness.

BACKGROUND: Despite extensive research and clinical efforts, the suicide rate in the United States continues to rise, driving the need for more research to identify latent factors that increase risk for suicide and to guide treatment decision-making. METHODS: The current study examined a large cohort (N = 1,219) of high-risk psychiatric inpatients to explore associations between personality traits and suicide-related variables measured retrospectively (lifetime history prior to hospital admission) and prospectively (at discharge and 12-month follow-up). RESULTS: Lifetime suicide-related behavior (SRB: combination of ideational severity, aborted, interrupted, actual attempts, and non-suicidal self-injury) was associated with age (younger), gender (female), and elevated scores on the Personality Inventory for DSM-5 (PID-5) negative affectivity, borderline trait composite score, and five-factor model traits of conscientiousness and neuroticism. Patients who manifested persistent suicidal ideation throughout a 6-8 week inpatient treatment (n = 162; 16.9%) tended to be younger, female, and to have elevated PID-5 borderline trait composite scores. Twelve-month post-discharge SRB was predicted by elevated PID-5 borderline trait composite scores. LIMITATIONS: Personality traits accounted for a small amount of variance in the overall model, thus limiting prediction based on individual traits. CONCLUSIONS: This large sample of high-risk inpatients with longitudinal outcomes provides a rare assessment of proximal personality traits in predicting lifetime SRB, persistent suicidal ideation observed during the course of a 6-8-week intensive inpatient treatment, and SRB outcomes within 12 months after discharge from hospitalization. Personality traits should be included in future attempts to create predictive algorithms that include relevant biological data (neuroimaging, genetic, microbiome).

"Operator syndrome": A unique constellation of medical and behavioral health-care needs of military special operation forces.

OBJECTIVE: U.S. military special operation forces represent the most elite units of the U.S. Armed Forces. Their selection is highly competitive, and over the course of their service careers, they experience intensive operational training and combat deployment cycles. Yet, little is known about the health-care needs of this unique population. METHOD: Professional consultations with over 50 special operation forces operators (and many spouses or girlfriends) over the past 6 years created a naturalistic, observational base of knowledge that allowed our team to identify a unique pattern of interrelated medical and behavioral health-care needs. RESULTS: We identified a consistent pattern of health-care difficulties within the special operation forces community that we and other special operation forces health-care providers have termed "Operator Syndrome." This includes interrelated health and functional impairments including traumatic brain injury effects; endocrine dysfunction; sleep disturbance; obstructive sleep apnea; chronic joint/back pain, orthopedic problems, and headaches; substance abuse; depression and suicide; anger; worry, rumination, and stress reactivity; marital, family, and community dysfunction; problems with sexual health and intimacy; being "on guard" or hypervigilant; memory, concentration, and cognitive impairments; vestibular and vision impairments; challenges of the transition from military to civilian life; and common existential issues. CONCLUSIONS: "Operator Syndrome" may be understood as the natural consequences of an extraordinarily high allostatic load; the accumulation of physiological, neural, and neuroendocrine responses resulting from the prolonged chronic stress; and physical demands of a career with the military special forces. Clinical research and comprehensive, intensive immersion programs are needed to meet the unique needs of this community.

Shape memory alloy actuation of non-bonded piezo sensor configuration for bone diagnosis and impedance based analysis.

In the recent years, there has been a growing interest in research community towards the application of smart materials for bio-medical structural health monitoring. Amongst the smart materials, directly bonded piezo sensors (DBPS), based on the electro-mechanical impedance (EMI) technique, have been successfully employed for the above purpose. The principle behind the EMI technique is that high frequency excitations (typically > 30 kHz) generated by a surface bonded PZT patch are used to detect changes in structural drive point impedance caused by cracks or any other type of damage. Bone healing and damage have been shown to be successfully monitored using the DBPS. However, in most of the diagnostic cases of live human and animal subjects, directly bonding a PZT patch is always an irritant or hazard for a live subject. To circumvent direct bonding, the authors have developed and experimentally demonstrated a non-bonded piezo sensor (NBPS) configuration as a good alternative to DBPS while maintaining the effectiveness of measurement well within discernible limits. This paper presents further improvement in the NBPS configuration aiming at autonomous operation of the gripping mechanism using shape memory alloy (SMA) wires. The experiments are performed on replicas of femur bone in healthy and osteoporosis state. This paper shows the effective use of SMA clamping for bone identification and its damage assessment in comparison to earlier mechanical gripping using jubilee clamps. This paper also covers impedance based identification applied to SMA and clamp based NBPS configurations. In place of raw admittance signatures, effective drive point impedance is utilized for the purpose of bone diagnostics which provides a more realistic assessment of the condition of bone.

Sensitized brain response to acute pain in patients using prescription opiates for chronic pain: A pilot study.

BACKGROUND: Chronic opiate use leads to a sensitized behavioral response to acute pain, which in turn, leads to escalating doses of opiates. This study was designed to test the hypothesis that chronic opiate usage is also associated with a sensitized neurobiological response to acute pain in individuals that have used prescription opiates for 6 or more months. METHODS: Fourteen patients with non-alcoholic chronic pancreatitis that have been taking prescription opiates for 6 or more months and 14 gender matched, non-opiate using controls were enrolled. Functional neuroimaging data was acquired while participants received blocks of thermal stimulation to their wrist (individually-tailored to their pain threshold). RESULTS: Self-reported pain was significantly greater in opiate using patients (3.4 ± 3.4) than controls (0.2 ± 0.8: Brief Pain Inventory p < 0.005), however no significant difference between groups was observed in the individually-tailored pain thresholds. Opiate using patients evidenced a significantly greater response to pain than controls in two established nodes of the "Pain Matrix": somatosensory cortex (pFWE≤0.001) and anterior cingulate cortex (p ≤ 0.01). This response was positively correlated with prescribed morphine equivalent dosages (average: 133.5 ± 94.8 mg/day). CONCLUSION: The findings suggest that in chronic pancreatitis patients, a dose of opiates that normalizes their behavioral response to acute pain is associated with an amplified neural response to acute pain. Further longitudinal studies are needed to determine if this neural sensitization hastens a behavioral tolerance to opiates or the development of an opioid use disorder.

Differentiating bipolar disorder from borderline personality disorder: Diagnostic accuracy of the difficulty in emotion regulation scale and personality inventory for DSM-5.

BACKGROUND: Confusion abounds when differentiating the diagnoses of bipolar disorder (BD) from borderline personality disorder (BPD). This study explored the relative clinical utility of affective instability and self-report personality trait measures for accurate identification of BD and BPD. METHODS: Receiver operator characteristics and diagnostic efficiency statistics were calculated to ascertain the relative diagnostic efficiency of self-report measures. Inpatients with research-confirmed diagnoses of BD (n = 341) or BPD (n = 381) completed the Difficulty in Emotion Regulation Scale (DERS) and Personality Inventory for DSM-5 (PID-5). RESULTS: The total score for DERS evidenced relatively poor accuracy for differentiating the disorders (AUC = 0.72, SE = 0.02, p < .0001), while subscales of affective instability measures yielded fair discrimination (AUC range = 0.70-0.59). The PID-5 BPD algorithm (consisting of emotional lability, anxiousness, separation insecurity, hostility, depressivity, impulsivity, and risk taking) evidenced moderate-to-excellent accuracy (AUC = 0.83, SE = 0.04, p < .0001) with a good balance of specificity (SP = 0.79) and sensitivity (SN = 0.77). CONCLUSION: Findings support the use of the PID-5 algorithm for differentiating BD from BPD. Furthermore, findings support the accuracy of the DSM-5 alternative model Criteria B trait constellation for differentiating these two disorders with overlapping features.

Lessons learned while integrating patient-reported outcomes in a psychiatric hospital.

In today's world of smart-device monitoring systems, clinicians may be lulled into the assumption that we can download software to monitor our patients' psychological and behavioral functioning with little or no effort or follow-up. This belief is as erroneous as it is tempting; in fact, implementing effective and efficient systems for utilizing patient-reported outcomes (PROs) in daily practice and research takes a virtual village of stakeholders, clinicians, developers, analysts, and clinical researchers. Here, we describe the iterative processes required for designing, implementing, and updating a large-scale inpatient psychiatric quality improvement/research platform that provides real-time feedback to clinicians and patients. During the past 10 years, many surprises and counterintuitive discoveries have emerged from this project, not the least of which is how difficult it is to establish and maintain "buy-in" and the utilization of PROs with busy clinicians and administrators. Methods for prioritizing and structuring data for different uses, including examining the effectiveness of treatment programs, identifying moderators of change, and improving treatment planning by developing algorithms to alert clinicians to adverse outcomes, are highlighted. The authors conclude by describing a new venture to integrate biological data and between-visit PROs monitoring to enhance well-being and reduce emergency department and hospital admissions for high-risk patients. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Resting-State Functional Connectivity of the Habenula in Mood Disorder Patients With and Without Suicide-Related Behaviors.

The habenula is a small midbrain structure that is important for brain signaling and learning from negative events. Thus, the habenula is strongly connected to both the reward system and motor regions. Increasing evidence suggests a role for the habenula in the etiology of psychiatric disorders, including mood and substance use disorders. However, no studies to date have investigated habenular resting-state functional connectivity (rsFC) in suicide-related behaviors (SB). The authors enrolled 123 individuals with major depressive disorder (MDD) or bipolar disorder and a history of suicide-related behaviors (SB+), 74 individuals with MDD or bipolar disorder and a history of suicidal ideation but no history of SB (SB-), and 75 healthy control subjects (HC). A seed-based approach was used to identify regions showing different rsFC with the habenula followed by region of interest to region of interest post hoc comparisons. Compared with both the SB- and HC groups, the SB+ group showed higher connectivity between the left habenula and the left parahippocampal gyrus, the right amygdala, and the right precentral and postcentral gyri. Patients with mood disorders displayed higher rsFC between the left habenula and left middle temporal gyrus, the left angular gyrus, and the left posterior cingulate cortex, as well as lower rsFC between the right habenula and the left thalamus, when compared with HCs. These findings suggest that the habenula is involved in the neural circuitry of suicide. The higher habenular rsFC found in the SB+ group may mediate a dysfunction in the mechanism that links the habenula with motor activity and contextual associative processing.