Exploring Mental Health and Well-Being Among University Faculty Members: A Qualitative Study.

The current exploratory qualitative study describes how environmental factors, social interactions, personal experiences, and stigma affect mental health and help-seeking. In-depth, semi-structured interviews were conducted with nine university faculty members who self-identified as having mental illness-related concerns. Using Bronfenbrenner's ecological systems framework and thematic analysis, four domains were determined: (1) macrosystem (i.e., influences of academic culture); (2) mesosystem (i.e., influences of faculty leadership and interpersonal dynamics); (3) microsystem (i.e., influences of individual mental health experiences); and (4) exosystem (i.e., influences of stigma across structural, interpersonal, and intrapersonal levels). These domains included barriers to and facilitators of mental health and help-seeking. Findings suggest that competitiveness and individualism may perpetuate stereotypes that mental illnesses are inherent weaknesses, and that seeking help is a barrier to academic success. Recommendations for future research are provided. [Journal of Psychosocial Nursing and Mental Health Services, 60(11), 17-25.].

eHealth Interventions for Treatment and Prevention of Depression, Anxiety, and Insomnia During Pregnancy: Systematic Review and Meta-analysis.

BACKGROUND: Pregnancy is associated with an increased risk for depression, anxiety, and insomnia. eHealth interventions provide a promising and accessible treatment alternative to face-to-face interventions. OBJECTIVE: The objective of this systematic review and meta-analysis is to determine the effectiveness of eHealth interventions in preventing and treating depression, anxiety, and insomnia during pregnancy. Secondary aims are to identify demographic and intervention moderators of effectiveness. METHODS: A total of 5 databases (PsycINFO, Medline, CINAHL, Embase, and Cochrane) were searched from inception to May 2021. Terms related to eHealth, pregnancy, randomized controlled trials (RCTs), depression, anxiety, and insomnia were included. RCTs and pilot RCTs were included if they reported an eHealth intervention for the prevention or treatment of depression, anxiety, or insomnia in pregnant women. Study screening, data extractions, and quality assessment were conducted independently by 2 reviewers from an 8-member research team (KAS, PRS, Hangsel Sanguino, Roshni Sohail, Jasleen Kaur, Songyang (Mark) Jin, Makayla Freeman, and Beatrice Valmana). Random-effects meta-analyses of pooled effect sizes were conducted to determine the effect of eHealth interventions on prenatal mental health. Meta-regression analyses were conducted to identify potential moderators. RESULTS: In total, 17 studies were included in this review that assessed changes in depression (11/17, 65%), anxiety (10/17, 59%), and insomnia (3/17, 18%). Several studies included both depression and anxiety symptoms as outcomes (7/17, 41%). The results indicated that during pregnancy, eHealth interventions showed small effect sizes for preventing and treating symptoms of anxiety and depression and a moderate effect size for treating symptoms of insomnia. With the exception of intervention type for the outcome of depressive symptoms, where mindfulness interventions outperformed other intervention types, no significant moderators were detected. CONCLUSIONS: eHealth interventions are an accessible and promising resource for treating symptoms of anxiety, depression, and insomnia during pregnancy. However, more research is necessary to identify ways to increase the efficacy of eHealth interventions for this population. TRIAL REGISTRATION: PROSPERO (International Prospective Register of Systematic Reviews) CRD42020205954; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=205954.