The purpose of the study was to explore the association between depression and medication adherence in heart failure (HF) patients. Studies have shown that people with depression are likely to be nonadherent to their prescribed medication treatment. But other studies suggest that nonadherence may be overestimated by people with depression. A total of 244 adults with Stage C HF completed the study. Self-reported medication adherence was obtained using the Basel Assessment of Adherence Scale (BAAS); objective data on medication adherence were collected using the electronic Medication Event Monitoring System (MEMS). Depression was measured via self-report with the Patient Health Questionnaire (PHQ-9). There was a significant difference between depressed and nondepressed participants in self-reported medication nonadherence (p = .008), but not in objectively measured medication nonadherence (p = .72). The depressed sample was 2.3 times more likely to self-report poor medication adherence than those who were nondepressed (p = .006).

This study used a mixed methods approach to examine pathways to suicidal behavior by identifying cognitive warning signs that occurred within 1 day of a suicide attempt. Transcripts of cognitive therapy sessions from 35 patients who attempted suicide were analyzed using a modified grounded theory approach. Cognitive themes emerging from these transcripts included: state hopelessness, focus on escape, suicide as a solution, fixation on suicide, and aloneness. Differences in demographic and baseline diagnostic and symptom data were explored in relation to each cognitive theme. We propose a potential conceptual model of cognitive warning signs for suicide attempts that requires further testing.

To identify the impact of postdischarge psychiatric medication changes on general medical readmissions among patients with serious mental illness (SMI; bipolar disorder, major depressive disorder, and schizophrenia), claims from a 5% national sample of Medicare fee-for-service (FFS) beneficiaries hospitalized between 2013 and 2016 were studied. A total of 165,490 Medicare FFS beneficiaries with SMI 18 years or older with at least 1 year of continuous Medicare enrollment were identified. Within 30 days of discharge from index admission, 47.4% experienced a psychiatric medication change—including 75,892 beneficiaries experiencing a deletion and 55,713 experiencing an addition. After adjusting for potential confounders, those with a medication change experienced an 10% increase in the odds of 30-day readmission (odds ratio, 1.10; SE, 0.019; p < 0.001). Comorbid drug use disorder was also associated with an increased odds of readmission after controlling for other covariates. These findings suggest important factors that clinicians should be aware of when discharging patients with SMI.

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Abstract. The purpose of this study was to (1) examine the psychometric properties of the Behavioral Health Screen Depression Subscale (BHS-DS), including internal consistency, factor structure, convergent and discriminant validity, and (2) identify cut-off scores on the BHS-DS to distinguish patients with depression risk and their level of severity among an acute clinical sample of adolescents in residential psychiatric care. Participants included 861 youths ages 10–24 at residential treatment centers who completed a battery of measures, including the BHS-DS and Patient Health Questionnaire (PHQ-9). Factor analysis, bivariate correlation, and Cronbach’s α suggested the BHS-DS is a unidimensional scale with evidence of internal consistency reliability and convergent and discriminant validity. Receiver operating characteristic curve analysis identified four clinical cut-off scores (no, mild, moderate, and severe depression risk). Analysis of variance, Cohen’s kappa (κ), and Wilcoxon signed-rank test results suggested the four groups differ from each other and that the BHS-DS exhibits moderate agreement with the PHQ-9. The BHS-DS demonstrates good psychometric properties among a sample of residential youth, offering clinicians a good alternative to the PHQ-9 in screening for depression.

OBJECTIVE The aim of this study was to understand the traumatic stress and resilience of nurses who cared for patients with COVID-19. BACKGROUND Studies have shown a high proportion of healthcare workers are at risk for developing posttraumatic stress disorder after a pandemic. Resilience factors are believed to play an important role in the well-being of healthcare professionals. METHODS This was a triangulated mixed methods study; a phenomenological qualitative approach with survey data was used to triangulate the findings, and sensemaking was used as the theoretical framework. RESULTS Four themes emerged from the study: 1) phases of traumatic stress response to perceived threats; 2) honoring their sacrifice; 3) professional self-identity; and 4) sustaining resilience in a stressful work environment. Quantitative results on traumatic stress, general resilience, and moral resilience supported the themes. CONCLUSIONS The findings will help leaders understand the potential for postpandemic mental health problems and the role of resilience in maintaining well-being.

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