OBJECTIVE: Examine preferences for family involvement in psychiatric care in a large, representative sample of veterans in treatment for schizophrenia. METHOD: Veterans with schizophrenia or schizoaffective disorder (N = 801) completed an assessment that included questions about demographic and clinical characteristics, status of family support, and preference for family involvement in their psychiatric care. Open-ended items were independently coded by two raters and categorized; Cohens kappa was calculated for each category. RESULTS: Among the 801 participants, 496 (61.9%) indicated that they had a family member who provided them with regular support; 304 (37.9%) had no family member who provided support; and 1 did not respond. Among the 304 without support, 272 (89.4%) had a living family member. Of the 496 participants who had a supportive family member, 135 (27.2%) wanted their family member involved in their care. Of the 272 participants who did not have a supportive family member, but had living family, 57 (21.0%) wanted their family involved. Barriers to involvement included concerns about privacy and burden. Preferred method of involvement included contact with the patients psychiatrist and education about the illness. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Preferences indicated by this large representative sample of individuals in care for schizophrenia indicate that a majority have supportive family and a substantial minority want family involved in their psychiatric care. Clinicians can address concerns about privacy and burden and deliver preferred services by phone or mail, overcoming anticipated barriers. Desire for family support groups was limited but present. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Psychological pain is a relatively understudied and potentially important construct in the evaluation of suicidal risk. Psychological pain also referred to as 'mental pain' or 'psychache' can be defined as an adverse emotional reaction to a severe trauma (e.g., the loss of a child) or may be associated with an illness such as depression. When psychological pain levels reach intolerable levels, some individuals may view suicide as the only and final means of escape. To better understand psychological pain, we previously developed and validated a brief self-rating 10-item scale, Mee-Bunney Psychological Pain Assessment Scale [MBP] in depressed patients and non-psychiatric controls. Our results showed a significant increase in psychological pain in the depressed patients compared to controls. We also observed a significant linear correlation between psychological pain and suicidality in the depressed patient cohort. The current investigation extends our study of psychological pain to a diagnostically heterogeneous population of 57 US Veterans enrolled in a suicide prevention program. In addition to the MBP, we administered the Columbia Suicide Severity Rating Scale (C-SSRS), Beck Depression Inventory (BDI-II), Beck Hopelessness Scale (BHS), and the Barratt Impulsiveness Scale (BIS-11). Suicidal patients scoring above a predetermined threshold for high psychological pain also had significantly elevated scores on all the other assessments. Among all of the evaluations, psychological pain accounted for the most shared variance for suicidality (C-SSRS). Stepwise regression analyses showed that impulsiveness (BIS) and psychological pain (MBP) contributed more to suicidality than any of the other combined assessments. We followed patients for 15 months and identified a subgroup (24/57) with serious suicide events. Within this subgroup, 29% (7/24) had a serious suicidal event (determined by the lethality subscale of the C-SSRS), including one completed suicide. Our results build upon our earlier findings and recent literature supporting psychological pain as a potentially important construct. Systematically evaluating psychological pain along with additional measures of suicidality could improve risk assessment and more effectively guide clinical resource allocation toward prevention.

OBJECTIVE: Study a quality improvement approach for implementing evidence-based employment services at specialty mental health clinics. DATA SOURCES/STUDY SETTING: Semistructured interviews with clinicians and administrators before, during, and after implementation. Qualitative field notes, structured baseline and follow-up interviews with patients, semistructured interviews with patients after implementation, and administrative data. STUDY DESIGN: Site-level controlled trial at four implementation and four control sites. Hybrid implementation-effectiveness study with mixed methods intervention evaluation design. DATA COLLECTION/EXTRACTION METHODS: Site visits, in-person and telephone interviews, patient surveys, patient self-assessment. A total of 801 patients completed baseline surveys and 53 clinicians and other clinical key stakeholders completed longitudinal qualitative interviews. PRINCIPAL FINDINGS: At baseline, sites varied in the availability, utilization, and quality of supported employment. Each site needed quality improvement for this service, though for differing reasons, with some needing development of the service itself and others needing increased service capacity. Improvements in knowledge, attitudes, beliefs, and referral behaviors were evident in mid- and postimplementation interviews, though some barriers persisted. Half of patients expressed an interest in working at baseline. Patients at implementation sites were 2.3 times more likely to receive employment services during the study year. Those who had a service visit were more likely to be employed at follow-up than those who did not. CONCLUSIONS: Studies of implementation and effectiveness require mixed methods to both enhance implementation in real time and provide context for interpretation of complex results. In this study, a quality improvement approach resulted in superior patient-level outcomes and improved clinician knowledge, attitudes, and behaviors, in the context of substantial variation among sites.

Objective

Study a quality improvement approach for implementing evidence-based employment services at specialty mental health clinics.

Data sources/study setting

Semistructured interviews with clinicians and administrators before, during, and after implementation. Qualitative field notes, structured baseline and follow-up interviews with patients, semistructured interviews with patients after implementation, and administrative data.

Study design

Site-level controlled trial at four implementation and four control sites. Hybrid implementation-effectiveness study with mixed methods intervention evaluation design.

Data collection/extraction methods

Site visits, in-person and telephone interviews, patient surveys, patient self-assessment. A total of 801 patients completed baseline surveys and 53 clinicians and other clinical key stakeholders completed longitudinal qualitative interviews.

Principal findings

At baseline, sites varied in the availability, utilization, and quality of supported employment. Each site needed quality improvement for this service, though for differing reasons, with some needing development of the service itself and others needing increased service capacity. Improvements in knowledge, attitudes, beliefs, and referral behaviors were evident in mid- and postimplementation interviews, though some barriers persisted. Half of patients expressed an interest in working at baseline. Patients at implementation sites were 2.3 times more likely to receive employment services during the study year. Those who had a service visit were more likely to be employed at follow-up than those who did not.

Conclusions

Studies of implementation and effectiveness require mixed methods to both enhance implementation in real time and provide context for interpretation of complex results. In this study, a quality improvement approach resulted in superior patient-level outcomes and improved clinician knowledge, attitudes, and behaviors, in the context of substantial variation among sites.

Introduction

The ongoing coronavirus disease 2019 (COVID-19) pandemic is a globally significant crisis with a rapid spread worldwide, high rates of illness and mortality, a high degree of uncertainty, and a disruption of daily life across the sociodemographic spectrum. The clinically relevant psychological consequences of this catastrophe will be long-lasting and far-reaching. There is an emerging body of empirical literature related to the mental health aspects of this pandemic and this body will likely expand exponentially. The COVID-19 pandemic is an example of a historic catastrophe from which we can learn much and from which the field will need to archive, interpret, and synthesize a multitude of clinical and research observations.

Methods

In this commentary, we discuss situations and contexts in which a diagnosis of posttraumatic stress disorder (PTSD) may or may not apply within the context of diagnostic and statistical manual of mental disorders, fifth edition (DSM-5) criteria.

Results

Our consensus is that a COVID-related event cannot be considered traumatic unless key aspects of DSM-5's PTSD Criterion A have been established for a specific type of COVID-19 event (e.g., acute, life-threatening, and catastrophic).

Conclusion

The application of a more liberal interpretation of Criterion A will dilute the PTSD diagnosis, increase heterogeneity, confound case-control research, and create an overall sample pool with varying degrees of risk and vulnerability factors.

Objective

Examine preferences for family involvement in psychiatric care in a large, representative sample of veterans in treatment for schizophrenia.

Method

Veterans with schizophrenia or schizoaffective disorder (N = 801) completed an assessment that included questions about demographic and clinical characteristics, status of family support, and preference for family involvement in their psychiatric care. Open-ended items were independently coded by two raters and categorized; Cohen's kappa was calculated for each category.

Results

Among the 801 participants, 496 (61.9%) indicated that they had a family member who provided them with regular support; 304 (37.9%) had no family member who provided support; and 1 did not respond. Among the 304 without support, 272 (89.4%) had a living family member. Of the 496 participants who had a supportive family member, 135 (27.2%) wanted their family member involved in their care. Of the 272 participants who did not have a supportive family member, but had living family, 57 (21.0%) wanted their family involved. Barriers to involvement included concerns about privacy and burden. Preferred method of involvement included contact with the patient's psychiatrist and education about the illness.

Conclusions and implications for practice

Preferences indicated by this large representative sample of individuals in care for schizophrenia indicate that a majority have supportive family and a substantial minority want family involved in their psychiatric care. Clinicians can address concerns about privacy and burden and deliver preferred services by phone or mail, overcoming anticipated barriers. Desire for family support groups was limited but present. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Substance Use Disorder (SUD) is a major public health concern affecting an estimated 22.5 million individuals in the United States. The primary aim of this study was to characterize psychological pain in a cohort of patients participating in outpatient treatment for SUD. A secondary aim was to determine the relationships between pre-treatment assessments of psychological pain, depression, anxiety and hopelessness with treatment retention time and completion rates. Data was analyzed from 289 patients enrolled in an outpatient community drug treatment clinic in Southern California, U.S. A previously determined threshold score on the Mee-Bunney Psychological Pain Assessment Scale (MBP) was utilized to group patients into high and low-moderate scoring subgroups. The higher pain group scored higher on measures of anxiety, hopelessness and depression compared to those in the low-moderate pain group. Additionally, patients scoring in the higher psychological pain group exhibited reduced retention times in treatment and more than two-fold increased odds of dropout relative to patients with lower pre-treatment levels of psychological pain. Among all assessments, the correlation between psychological pain and treatment retention time was strongest. To our knowledge, this is the first study to demonstrate that psychological pain is an important construct which correlates with relevant clinical outcomes in SUD. Furthermore, pre-treatment screening for psychological pain may help target higher-risk patients for clinical interventions aimed at improving treatment retention and completion rates.

Background

Deep learning has shown potential in various scientific domains but faces challenges when applied to complex, high-dimensional multi-omics data. Alzheimer's Disease (AD) is a neurodegenerative disorder that lacks targeted therapeutic options. This study introduces the Circular-Sliding Window Association Test (c-SWAT) to improve the classification accuracy in predicting AD using serum-based metabolomics data, specifically lipidomics.

Methods

The c-SWAT methodology builds upon the existing Sliding Window Association Test (SWAT) and utilizes a three-step approach: feature correlation analysis, feature selection, and classification. Data from 997 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) served as the basis for model training and validation. Feature correlations were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA), and Convolutional Neural Networks (CNN) were employed for feature selection. Random Forest was used for the final classification.

Findings

The application of c-SWAT resulted in a classification accuracy of up to 80.8% and an AUC of 0.808 for distinguishing AD from cognitively normal older adults. This marks a 9.4% improvement in accuracy and a 0.169 increase in AUC compared to methods without c-SWAT. These results were statistically significant, with a p-value of 1.04 × 10ˆ-4. The approach also identified key lipids associated with AD, such as Cer(d16:1/22:0) and PI(37:6).

Interpretation

Our results indicate that c-SWAT is effective in improving classification accuracy and in identifying potential lipid biomarkers for AD. These identified lipids offer new avenues for understanding AD and warrant further investigation.

Funding

The specific funding of this article is provided in the acknowledgements section.

Mechanisms of resilience against tau pathology in individuals across the Alzheimer's disease spectrum are insufficiently understood. Longitudinal data are necessary to reveal which factors relate to preserved cognition (i.e. cognitive resilience) and brain structure (i.e. brain resilience) despite abundant tau pathology, and to clarify whether these associations are cross-sectional or longitudinal. We used a longitudinal study design to investigate the role of several demographic, biological and brain structural factors in yielding cognitive and brain resilience to tau pathology as measured with PET. In this multicentre study, we included 366 amyloid-β-positive individuals with mild cognitive impairment or Alzheimer's disease dementia with baseline 18F-flortaucipir-PET and longitudinal cognitive assessments. A subset (n = 200) additionally underwent longitudinal structural MRI. We used linear mixed-effects models with global cognition and cortical thickness as dependent variables to investigate determinants of cognitive resilience and brain resilience, respectively. Models assessed whether age, sex, years of education, APOE-ε4 status, intracranial volume (and cortical thickness for cognitive resilience models) modified the association of tau pathology with cognitive decline or cortical thinning. We found that the association between higher baseline tau-PET levels (quantified in a temporal meta-region of interest) and rate of cognitive decline (measured with repeated Mini-Mental State Examination) was adversely modified by older age (Stβinteraction = -0.062, P = 0.032), higher education level (Stβinteraction = -0.072, P = 0.011) and higher intracranial volume (Stβinteraction = -0.07, P = 0.016). Younger age, higher education and greater cortical thickness were associated with better cognitive performance at baseline. Greater cortical thickness was furthermore associated with slower cognitive decline independent of tau burden. Higher education also modified the negative impact of tau-PET on cortical thinning, while older age was associated with higher baseline cortical thickness and slower rate of cortical thinning independent of tau. Our analyses revealed no (cross-sectional or longitudinal) associations for sex and APOE-ε4 status on cognition and cortical thickness. In this longitudinal study of clinically impaired individuals with underlying Alzheimer's disease neuropathological changes, we identified education as the most robust determinant of both cognitive and brain resilience against tau pathology. The observed interaction with tau burden on cognitive decline suggests that education may be protective against cognitive decline and brain atrophy at lower levels of tau pathology, with a potential depletion of resilience resources with advancing pathology. Finally, we did not find major contributions of sex to brain nor cognitive resilience, suggesting that previous links between sex and resilience might be mainly driven by cross-sectional differences.