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1.
Front Psychol ; 13: 924913, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35911017

RESUMEN

Introduction/Background: HealthCare worker (HCW) mental health and wellbeing are uniquely affected by the complexities of COVID-19 due to exposure to the virus, isolation from family and friends, risk and uncertainty. Little if any inquiry has examined the effects on an entire healthcare system, particularly immediately post-surge. We sought to examine the prevalence of psychiatric symptoms and behavioral health difficulties as a healthcare system transitioned out of the first wave. We assessed the effects of work role, setting and individual diversity factors on employee distress and coping strategies. Materials and Methods: This was an Institutional Review Board approved, unfunded, voluntary survey sent via REDCap link, to all employees of Hartford HealthCare, a mid-sized healthcare system (N ≈ 29,900) between May 15th and June 26th, 2020. Two system-wide emails and two emails targeting managers were sent during this time frame. Eight thousand four hundred and ninety four employees (28.4% of all e-mails distributed) participated in the survey, representing clinical, support, administrative, and medical staff across hospital, outpatient, residential, and business settings. The survey contained items assessing personal background, work environment/culture, and formal measures, including: patient health questionnaire-9 (PHQ-9), general anxiety disorder-7 (GAD-7), primary care post-traumatic stress disorder screen for DSM-5 (PC-PTSD), alcohol use disorders identification test (AUDIT-C), and the insomnia severity index (ISI). Results: Almost 1/3 of respondents (31%) reported symptoms of clinically significant anxiety; 83% moderate to severe depression; and 51% moderate to severe insomnia. Thirteen percent screened positive for post-traumatic stress disorder. Frontline staff (p ≤ 0.001 vs. others) and females (p < 0.001 vs. males) endorsed the highest levels of distress, while race (p ≤ 0.005) and ethnicity (p < 0.03 for anxiety, PTSD and insomnia) had a complex and nuanced interaction with symptoms. Conclusion: Pandemic stress effects all healthcare employees, though not equally. The effects of work role and environment are intuitive though critical. These data suggest individual diversity factors also play an important role in mental health and wellbeing. All must be considered to optimize employee functioning.

2.
Psychiatr Serv ; 72(2): 122-128, 2021 02 01.
Artículo en Inglés | MEDLINE | ID: mdl-33267652

RESUMEN

OBJECTIVE: The authors sought to quantify the rates of psychological distress among health care workers (HCWs) during the COVID-19 pandemic and to identify job-related and personal risk and protective factors. METHODS: From April 1 to April 28, 2020, the authors conducted a national survey advertised via e-mail lists, social media, and direct e-mail. Participants were self-selecting, U.S.-based volunteers. Scores on the Patient Health Questionnaire-9, General Anxiety Disorder-7, Primary Care Posttraumatic Stress Disorder Screen, and Alcohol Use Disorders Identification Test-C were used. The relationships between personal resilience and risk factors, work culture and stressors and supports, and COVID-19-related events were examined. RESULTS: Of 1,685 participants (76% female, 88% White), 31% (404 of 1,311) endorsed mild anxiety, and 33% (427 of 1,311) clinically meaningful anxiety; 29% (393 of 1,341) reported mild depressive symptoms, and 17% (233 of 1,341) moderate to severe depressive symptoms; 5% (64 of 1,326) endorsed suicidal ideation; and 14% (184 of 1,300) screened positive for posttraumatic stress disorder. Pediatric HCWs reported greater anxiety than did others. HCWs' mental health history increased risk for anxiety (odds ratio [OR]=2.78, 95% confidence interval [CI]=2.09-3.70) and depression (OR=3.49, 95% CI=2.47-4.94), as did barriers to working, which were associated with moderate to severe anxiety (OR=2.50, 95% CI=1.80-3.48) and moderate depressive symptoms (OR=2.15, 95% CI=1.45-3.21) (p<0.001 for all comparisons). CONCLUSIONS: Nearly half of the HCWs reported serious psychiatric symptoms, including suicidal ideation, during the COVID-19 pandemic. Perceived workplace culture and supports contributed to symptom severity, as did personal factors.


Asunto(s)
Trastornos de Ansiedad/epidemiología , Ansiedad/epidemiología , COVID-19 , Depresión/epidemiología , Trastorno Depresivo/epidemiología , Personal de Salud/estadística & datos numéricos , Trastornos por Estrés Postraumático/epidemiología , Ideación Suicida , Adulto , Anciano , Femenino , Encuestas de Atención de la Salud , Humanos , Masculino , Persona de Mediana Edad , Cultura Organizacional , Calidad de Vida , Estados Unidos/epidemiología , Adulto Joven
3.
J Nerv Ment Dis ; 197(3): 161-5, 2009 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-19282681

RESUMEN

Factor analysis of symptom structure has proven to be a valuable tool to identify dimensions of symptoms in various psychiatric conditions. This study used exploratory and confirmatory factor analysis to examine symptom structures in depressed inpatients with unipolar (n = 718) or bipolar (n = 134) spectrum disorders who were rated at admission with a psychiatric rating scale. No differences in overall symptom severity on the scale were found in the 2 samples, although different factor structures were detected with exploratory analyses. These models were modified in a confirmatory modeling procedure to improve their fit to the data, resulting in models with good, but not perfect, fits. For people with bipolar disorders, a 5-factor model fit best, with depression loading with anxiety symptoms and in people with unipolar disorders, a 4-factor model with depression loading with vegetative symptoms was found. Our results suggest that similar levels of symptom severity may have different underpinnings in the 2 groups and suggest that more comparative studies of symptoms in these 2 conditions may be useful.


Asunto(s)
Trastorno Bipolar/diagnóstico , Trastorno Depresivo Mayor/diagnóstico , Hospitalización , Adolescente , Adulto , Trastorno Bipolar/psicología , Trastorno Depresivo Mayor/psicología , Análisis Factorial , Femenino , Humanos , Masculino , Escalas de Valoración Psiquiátrica/estadística & datos numéricos , Psicometría/estadística & datos numéricos , Reproducibilidad de los Resultados , Estudios Retrospectivos , Adulto Joven
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