Feasibility and acceptability of the mobile application for the prevention of suicide (MAPS).

Rates of Veteran suicide continue to be unacceptably high. Suicidal ideation and behavior are contextually and situationally based, limiting the ability of traditional prevention and assessment strategies to prevent acute crises. The Mobile Application for the Prevention of Suicide (MAPS) is a novel, smartphone-based intervention strategy that utilizes ecological momentary assessment to identify suicide risk in the moment and delivers treatment strategies in real-time. The app is personalized to each patient, utilizes empirically intervention strategies, and is delivered adjunctively to Veterans Affairs (VA) treatment as usual. This article outlines the MAPS intervention and presents results of an open trial to assess its feasibility and acceptability. Eight Veterans were recruited from aVeterans Affairs Medical Center (VAMC) psychiatric inpatient unit following hospitalization for either a suicide ideation or attempt. Veterans received MAPS for 2 weeks post-hospitalization. Veterans reported high levels of satisfaction with MAPS and all opted to extend their use of MAPS beyond the 2-week trial period. MAPS may be a useful adjunctive to treatment as usual for high-risk Veterans by allowing patients and their providers to better track suicide risk and deploy intervention strategies when risk is detected.

Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data.

Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.

Time to Dementia Diagnosis Among Veterans with Comorbid Insomnia and Depressive Episodes.

Background: Older adults with heart failure are at elevated risk of Alzheimer's disease and related dementias (AD/ADRD). Research suggests that insomnia and depressive episodes contribute somewhat dissociable impacts on risk for AD/ADRD in this patient population, although the temporal ordering of effects is unknown. Objective: This study examined time to dementia diagnosis among patients with comorbid insomnia and/or depressive episodes in an epidemiological sample. Methods: Secondary data analyses were conducted using a cohort study of 203,819 Veterans with a primary admission diagnosis of heart failure in 129 VA Medical Centers. Results: Patients with diagnoses of both insomnia and depressive episodes had the shortest time to a dementia diagnosis at both 1-year (Hazard ratio = 1.43, 95% CI [1.36, 1.51]) and 3-year follow-up time points (Hazard ratio = 1.40, 95% CI [1.34, 1.47]) versus patients with one or neither comorbidity. Conclusions: Individuals with both comorbidities had the shortest time to dementia onset. Screening for these comorbidities may help to identify patients at elevated risk of dementia who could benefit from enhanced monitoring or early intervention strategies for more rapid detection and management of dementia symptoms.