Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth.

Objective: Geography may influence the relationships of predictors for suicidal ideation (SI) and suicide attempts (SA) in children and youth. Method: This is a nationwide retrospective cohort study of 124,424 individuals less than 25 years of age using commercial claims data (2011-2015) from the Health Care Cost Institute. Outcomes were time to SI or SA within 3 months after the indexed mental health or substance use disorder (MH/SUD) outpatient visit. Predictors included sociodemographic and clinical characteristics up to 3 years before the index event. Results: At each follow-up time period, rates of SI and SA varied by the US geographic division (p < .001), and the Mountain Division consistently had the highest rates for both SI and SA (5.44%-10.26% for SI; 0.70%-2.82% for SA). Having MH emergency department (ED) visits in the past year increased the risk of SI by 28% to 65% for individuals residing in the New England, Mid-Atlantic, East North Central, West North Central, and East South Central Divisions. The main effects of geographic divisions were significant for SA (p<0.001). Risk of SA was lower in New England, Mid-Atlantic, South Atlantic, and Pacific (hazard ratios = 0.57, 0.51, 0.67, and 0.79, respectively) and higher in the Mountain Division (hazard ratio = 1.46). Conclusion: To understand the underlying mechanisms driving the high prevalence of SI and SA in the Mountain Division and the elevated risk of SI after having MH ED visits, future research examining regional differences in risks for SI and SA should include indicators of access to MH ED care and other social determinants of health.

Risk stratification models for predicting preventable hospitalization in commercially insured late middle-aged adults with depression.

BACKGROUND: A significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods. METHODS: This retrospective cohort study involved 71,682 commercially insured older adults aged 55-64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM). RESULTS: Our predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM. CONCLUSIONS: Our study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.

Effects of social deprivation on risk factors for suicidal ideation and suicide attempts in commercially insured US youth and adults.

We used US nationwide commercial insurance claims data (2011-2015) to study the effect of social deprivation on clinical and demographic risk factors for suicidal ideation (SI) and suicide attempts (SA) among US youth and adults < 65 years, after having a mental health or substance use disorder-related outpatient encounter. Neighborhood social deprivation level was summarized by the quintile of social deprivation index (SDI) at individuals' zip code level. Cox proportional hazard models were used to evaluate the effect of social deprivation on demographic and clinical risk factors for SI and SA. The study cohort consisted of 317,383 individuals < 65 years, with 124,424 aged < 25 (youth) and 192,959 aged between 25 and 64 (adults). Neighborhood social deprivation impacted risk factors for SI and SA differently for youth and adults. Among youth, SDI interacted with multiple risk factors for both SI and SA. The effects of the risk factors were larger on youth from middle socioeconomic neighborhoods. Among adults, risk of SI was the strongest in the most deprived neighborhoods, but risk of SA did not vary by neighborhood deprivation level. Our findings suggest community-based suicide prevention initiatives should be tailored according to neighborhood deprivation level and the targeted individual's age to maximize the impact.

Behavioral Activation and Depression Symptomatology: Longitudinal Assessment of Linguistic Indicators in Text-Based Therapy Sessions.

BACKGROUND: Behavioral activation (BA) is rooted in the behavioral theory of depression, which states that increased exposure to meaningful, rewarding activities is a critical factor in the treatment of depression. Assessing constructs relevant to BA currently requires the administration of standardized instruments, such as the Behavioral Activation for Depression Scale (BADS), which places a burden on patients and providers, among other potential limitations. Previous work has shown that depressed and nondepressed individuals may use language differently and that automated tools can detect these differences. The increasing use of online, chat-based mental health counseling presents an unparalleled resource for automated longitudinal linguistic analysis of patients with depression, with the potential to illuminate the role of reward exposure in recovery. OBJECTIVE: This work investigated how linguistic indicators of planning and participation in enjoyable activities identified in online, text-based counseling sessions relate to depression symptomatology over time. METHODS: Using distributional semantics methods applied to a large corpus of text-based online therapy sessions, we devised a set of novel BA-related categories for the Linguistic Inquiry and Word Count (LIWC) software package. We then analyzed the language used by 10,000 patients in online therapy chat logs for indicators of activation and other depression-related markers using LIWC. RESULTS: Despite their conceptual and operational differences, both previously established LIWC markers of depression and our novel linguistic indicators of activation were strongly associated with depression scores (Patient Health Questionnaire [PHQ]-9) and longitudinal patient trajectories. Emotional tone; pronoun rates; words related to sadness, health, and biology; and BA-related LIWC categories appear to be complementary, explaining more of the variance in the PHQ score together than they do independently. CONCLUSIONS: This study enables further work in automated diagnosis and assessment of depression, the refinement of BA psychotherapeutic strategies, and the development of predictive models for decision support.

The Age Limit Does Not Exist: A Pilot Usability Assessment of a SMS-Messaging and Smartwatch-Based Intervention for Older Adults with Depression.

Current treatments for major depressive disorder are either less effective for older adults (i.e. pharmacotherapy) or are challenging to extend to community settings (i.e. psychotherapy). To improve and extend mental health treatment for older adults, our team has expanded a previously developed streamlined talk-therapy model to incorporate a technology package that includes patient-reported outcome questions (sent via SMS) and a smartwatch. The goal of this pilot study was to assess and improve the usability, usefulness, and acceptability of the technology package. We completed a pilot feasibility and usability assessment with 15 older adults. Participants demonstrated the feasibility of use of the intervention, successfully completing 99% of their assigned tasks during the pilot. Findings were used to address usability barriers in preparation for future clinical trials. Our results highlight the importance completing usability assessment and involving older adults in the intervention design process when incorporating technology into care.

Health-related quality of life in remitted psychotic depression✰.

BACKGROUND: Some patients with major depression continue to demonstrate deficits in health-related quality of life (HRQL) following remission. No data exist, however, regarding HRQL in remitted psychotic depression. In this study, we aimed to characterize HRQL in patients with psychotic depression receiving controlled pharmacotherapy. METHODS: This is a secondary analysis of a randomized controlled trial studying continuation pharmacotherapy of psychotic depression. We compared participants' HRQL (measured using the SF-36) between baseline and remission and to population norms. We also compared SF-36 scores stratified by age and gender and examined the correlation between SF-36 scores and medical burden, depression score and neuropsychological performance in remission. RESULTS: SF-36 scores were significantly lower than population norms at baseline, but improved following remission to the level of population norms. Neither SF-36 scores nor magnitude of SF-36 improvement differed substantially between genders or between younger and older participants. In remission, depression scores were correlated with most SF-36 scales and medical burden was correlated with SF-36 scales measuring physical symptoms. Neuropsychological measures were generally not correlated with SF-36 scores. LIMITATIONS: This study was a secondary analysis not powered specifically to measure HRQL as an outcome variable and the SF-36 was the only HRQL measure used. CONCLUSIONS: Participants with remitted psychotic depression demonstrated levels of HRQL comparable to population norms, despite marked impairment in HRQL when acutely ill. This finding suggests that, when treated in a rigorous manner, many patients with this severe illness improve significantly from a clinical and HRQL perspective.

Improving engagement in mental health treatment for home meal recipients with depression.

BACKGROUND: Staff who provide support services to older adults are in a unique position to detect depression and offer a referral for mental health treatment. Yet integrating mental health screening and recommendations into aging services requires staff learn new skills to integrate mental health and overcome client barriers to accepting mental health referrals. This paper describes client rates of depression and a novel engagement intervention (Open Door) for homebound older adults who are eligible for home delivered meals and screened for depression by in-home aging service programs. METHODS: Homebound older adults receiving meal service who endorsed depressive symptoms were interviewed to assess depression severity and rates of suicidal ideation. Open Door is a brief psychosocial intervention to improve engagement in mental health treatment by collaboratively addressing the individual level barriers to care. The intervention targets stigma, misconceptions about depression, and fears about treatment, and is designed to fit within the roles and responsibilities of aging service staff. RESULTS: Among 137 meal recipients who had symptoms when screened for depression as part of routine home meal service assessments, half (51%) had Major Depressive Disorder and 13% met criteria for minor depression on the SCID. Suicidal ideation was reported by 29% of the sample, with the highest rates of suicidal ideation (47%) among the subgroup of individuals with Major Depressive Disorder. CONCLUSION: Individuals who endorse depressive symptoms during screening are likely to have clinically significant depression and need mental health treatment. The Open Door intervention offers a strategy to overcome barriers to mental health treatment engagement and to improve the odds of quality care for depression.

Personalised intervention for people with depression and severe COPD.

Chronic obstructive pulmonary disease (COPD) is often complicated by depression and exemplifies the challenge in managing chronic illnesses that require active patient participation in care. In a clinical trial (NCT00151372), we compared a novel personalised intervention for depression and COPD (PID-C) targeting treatment adherence with treatment as usual (TAU). In 138 patients with major depression and severe COPD, PID-C led to a higher remission rate and a greater reduction in depressive symptoms and in dyspnoea-related disability than TAU over 28 weeks and 6 months after the last session. If replicated, PID-C may serve as a care model for patients with both depression and medical illnesses with a deteriorating course.

Social inequalities in depression and suicidal ideation among older primary care patients.

PURPOSE: Depression and suicide are major public health concerns, and are often unrecognized among the elderly. This study investigated social inequalities in depressive symptoms and suicidal ideation among older adults. METHODS: Data come from 1,226 participants in PROSPECT (Prevention of Suicide in Primary Care Elderly: Collaborative Trial), a large primary care-based intervention trial for late-life depression. Linear and logistic regressions were used to analyze depressive symptoms and suicidal ideation over the 2-year follow-up period. RESULTS: Mean Hamilton Depression Rating Scale (HDRS) scores were significantly higher among participants in financial strain [regression coefficient (b) = 1.78, 95 % confidence interval (CI) = 0.67-2.89] and with annual incomes below $20,000 (b = 1.67, CI = 0.34-3.00). Financial strain was also associated with a higher risk of suicidal ideation (odds ratio = 2.35, CI = 1.38-3.98). CONCLUSIONS: There exist marked social inequalities in depressive symptoms and suicidal ideation among older adults attending primary care practices, the setting in which depression is most commonly treated. Our results justify continued efforts to understand the mechanisms generating such inequalities and to recognize and provide effective treatments for depression among high-risk populations.

Economic inequalities in the effectiveness of a primary care intervention for depression and suicidal ideation.

BACKGROUND: Economic disadvantage is associated with depression and suicide. We sought to determine whether economic disadvantage reduces the effectiveness of depression treatments received in primary care. METHODS: We conducted differential-effects analyses of the Prevention of Suicide in Primary Care Elderly: Collaborative Trial, a primary-care-based randomized, controlled trial for late-life depression and suicidal ideation conducted between 1999 and 2001, which included 514 patients with major depression or clinically significant minor depression. RESULTS: The intervention effect, defined as change in depressive symptoms from baseline, was stronger among persons reporting financial strain at baseline (differential effect size = -4.5 Hamilton Depression Rating Scale points across the study period [95% confidence interval = -8.6 to -0.3]). We found similar evidence for effect modification by neighborhood poverty, although the intervention effect weakened after the initial 4 months of the trial for participants residing in poor neighborhoods. There was no evidence of substantial differences in the effectiveness of the intervention on suicidal ideation and depression remission by economic disadvantage. CONCLUSIONS: Economic conditions moderated the effectiveness of primary-care-based treatment for late-life depression. Financially strained individuals benefited more from the intervention; we speculate this was because of the enhanced treatment management protocol, which led to a greater improvement in the care received by these persons. People living in poor neighborhoods experienced only temporary benefit from the intervention. Thus, multiple aspects of economic disadvantage affect depression treatment outcomes; additional work is needed to understand the underlying mechanisms.

Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study.

Brain functional connectivity (FC) is often assessed from fMRI data using seed-based methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; or using multivariate methods, such as independent component analysis (ICA). ICA is a useful data-driven tool, but reproducibility issues complicate group inferences based on FC maps derived with ICA. These reproducibility issues can be circumvented with hybrid methods that use information from ICA-derived spatial maps as seeds to produce seed-based FC maps. We report results from five experiments to demonstrate the potential advantages of hybrid ICA-seed-based FC methods, comparing results from regressing fMRI data against task-related a priori time courses, with "back-reconstruction" from a group ICA, and with five hybrid ICA-seed-based FC methods: ROI-based with (1) single-voxel, (2) few-voxel, and (3) many-voxel seed; and dual-regression-based with (4) single ICA map and (5) multiple ICA map seed.

Treating depression in disabled, low-income elderly: a conceptual model and recommendations for care.

BACKGROUND: The treatment of depression in low-income older adults who live in poverty is complicated by several factors. Poor access to resources, disability, and mild cognitive impairment are the main factors that moderate treatment effects in this population. Interventions that not only address the depressive syndrome but also manage social adversity are sorely needed to help this patient population recover from depression. METHODS: This paper is a literature review of correlates of depression in late life. In the review we propose a treatment model that combines case management (CM) to address social adversity with problem solving treatment (PST) to address the depressive syndrome. RESULTS: We present the case of Mr Z, an older gentleman living in poverty who is also depressed and physically disabled. In this case we illustrate how the combination of CM and PST can work together to ameliorate depression. CONCLUSIONS: The combination of age, disability, and social adversity complicates the management and treatment of depression. CM and PST are interventions that work synergistically to overcome depression and manage social problems.

Impact of social support and self-efficacy on functioning in depressed older adults with chronic obstructive pulmonary disease.

OBJECTIVE: The objective of this study was to examine the association between social support, self-efficacy, and functioning among a sample of depressed older adults with chronic obstructive pulmonary disease (COPD). METHODS: Participants were recruited immediately following admission to an acute pulmonary rehabilitation unit of a rehabilitation hospital. One hundred and fifty-six subjects completed assessments of depression, functioning, social support, and self-efficacy at admission to the rehabilitation unit. Regression analyses were conducted to evaluate the impact of different aspects of social support and self-efficacy on overall functioning at admission. RESULTS: Controlling for depression, COPD severity, and age, subjective social support (p = 0.05) and self-efficacy (p < 0.01) were associated with overall functioning. CONCLUSION: The perception of social support as well as self-efficacy are important constructs related to overall functioning among depressed older adults with COPD. Attention to these psychosocial variables in health management interventions may help maintain or improve the overall functioning of depressed COPD patients.

The effects of memory, attention, and executive dysfunction on outcomes of depression in a primary care intervention trial: the PROSPECT study.

OBJECTIVE: To describe the influence of domains of cognition on remission and response of depression in an intervention trial among older primary care patients. METHODS: Twenty primary care practices were randomly assigned to Usual Care or to an Intervention consisting of a depression care manager offering algorithm-based care for depression. In all, 599 adults 60 years and older with a depression diagnosis were included in these analyses. Depression severity and remission of depression were assessed by the 24-item Hamilton Depression Rating Scale. The Mini-Mental State Examination (MMSE) was our global measure of cognitive function. Verbal memory was assessed with the memory subscale of the Dementia Rating Scale. Attention was measured with the digit span from the Weschler Adult Intelligence Test. Response inhibition, one of the executive functions, was assessed with the Stroop Color-Word test. RESULTS: The intervention was associated with improved remission and response rates regardless of cognitive impairment. Response inhibition as measured by the Stroop Color-Word test appeared to significantly modify the intervention versus usual care difference in remission and response at 4 months. Patients in the poorest performance quartile at baseline on the Stroop Color-Word test in the Intervention Condition were more likely to achieve remission of depression at 4 months than comparable patients in Usual Care [odds ratio (OR) = 17.76, 95% Confidence Interval (CI), 3.06, 103.1]. CONCLUSIONS: Depressed older adults in primary care with executive dysfunction have low remission and response rates when receiving usual care but benefit from depression care management.

Perspectives on depression, mild cognitive impairment, and cognitive decline.

CONTEXT: The public health implications of depression and cognitive impairment in late life are enormous. Cognitive impairment and late-life depression are associated with increased risk for subsequent dementia; however, investigations of these phenomena appear to be proceeding along separate tracks. OBJECTIVES AND DATA SOURCE: The National Institute of Mental Health organized the conference "Perspectives on Depression, Mild Cognitive Impairment, and Cognitive Decline" to consider how the varied perspectives might be better integrated to examine the associations among depression, mild cognitive impairment, and cognitive decline and to illuminate the common or distinct mechanisms involved in these associations. DATA SYNTHESIS: The following 2 broad questions were addressed: (1) What gaps in our knowledge have the greatest public health significance? (2) Can we more efficiently use our research dollars and participant resources to fill these gaps? Meeting participants included grantees from the National Institute of Mental Health and the National Institute on Aging and program staff from the National Institute of Mental Health, the National Institute on Aging, and the National Institute of Neurological Disorders and Stroke. CONCLUSIONS: One of the most important recommendations to emerge from the meeting discussions is for increased collaboration among clinical and epidemiological investigators whose work focuses in the area of depression with those working primarily in the area of memory disorders. Directions for future research were identified.

Executive dysfunction, heart disease burden, and remission of geriatric depression.

This study investigated the relationship of executive impairment and heart disease burden to remission of major depression among elderly patients. A total of 112 elderly subjects suffering from major depression received treatment with citalopram at a target daily dose of 40 mg for 8 weeks. Diagnosis was assigned using the Research Diagnostic Criteria and the DSM-IV Criteria after an interview with the Schedule for Affective Disorders and Schizophrenia. Executive dysfunction was assessed with the Initiation/Perseveration subscale of the Dementia Rating Scale (DRS) and the Color-Word Stroop test. Medical burden, including heart disease burden, was rated with the Cumulative Illness Rating Scale, and disability with Philadelphia Multilevel Instrument. Both abnormal initiation/perseveration and abnormal Stroop scores were associated with low remission rates of geriatric depression. Similarly, heart disease burden and baseline severity of depression also predicted low remission rates. The relationship of heart disease burden to remission was not mediated by executive dysfunction. Impairment in other DRS cognitive domains, disability, medical burden unrelated to heart disease did not significantly influence the outcome of depression in this sample. Executive dysfunction and heart disease burden constitute independent vulnerability factors that increase the risk for chronicity of geriatric depression. The findings of this study provide the rationale for investigation of the role of specific frontostriatal-limbic pathways in predisposing to geriatric depression or worsening its course.

Depression and Bipolar Support Alliance consensus statement on the unmet needs in diagnosis and treatment of mood disorders in late life.

OBJECTIVES: To review progress made during the past decade in late-life mood disorders and to identify areas of unmet need in health care delivery and research. PARTICIPANTS: The Consensus Development Panel consisted of experts in late-life mood disorders, geriatrics, primary care, mental health and aging policy research, and advocacy. EVIDENCE: (1) Literature reviews addressing risk factors, prevention, diagnosis, treatment, and delivery of services and (2) opinions and experiences of primary care and mental health care providers, policy analysts, and advocates. CONSENSUS PROCESS: The Consensus Development Panel listened to presentations and participated in discussions. Workgroups considered the evidence and prepared preliminary statements. Workgroup leaders presented drafts for discussion by the Consensus Development Panel. The final document was reviewed and edited to incorporate input from the entire Consensus Development Panel. CONCLUSIONS: Despite the availability of safe and efficacious treatments, mood disorders remain a significant health care issue for the elderly and are associated with disability, functional decline, diminished quality of life, mortality from comorbid medical conditions or suicide, demands on caregivers, and increased service utilization. Discriminatory coverage and reimbursement policies for mental health care are a challenge for the elderly, especially those with modest incomes, and for clinicians. Minorities are particularly underserved. Access to mental health care services for most elderly individuals is inadequate, and coordination of services is lacking. There is an immediate need for collaboration among patients, families, researchers, clinicians, governmental agencies, and third-party payers to improve diagnosis, treatment, and delivery of services for elderly persons with mood disorders.

Assessment of late life depression.

This article focuses on diagnostic and nosologic challenges intrinsic to geriatric depression, including characteristics interfering with symptom and syndrome ascertainment, the impact of medical and cognitive disorders, the usefulness of screening instruments, and barriers imposed by treatment settings. The article also identifies gaps in existing knowledge and outlines a research agenda. Nosologic characterization of depressives syndromes contributed by specific medical disorders may lead to effective strategies for prevention and treatment of depression. Studies need to examine whether treatment of depression can improve the outcome of medical illnesses requiring active patient involvement in treatment. Considering disability a distinct aspect of health status may add an important dimension to the assessment of depression and result in complementary interventions aimed at depression and disability concurrently. The provisional criteria for depression of Alzheimer's disease, if validated, may facilitate treatment research. Studies need to characterize cognitive dysfunctions associated with later development of dementia or poor treatment response in patients with depression. Care managers working together with primary care physicians can improve the recognition and treatment of depressed elderly patients by obtaining the training in using validated instruments and treatment algorithms.