Anxiety, insomnia and family support in nurses, two years after the onset of the pandemic crisis.

Introduction: The Covid-19 pandemic continues to cause serious physical and mental problems for health professionals, particularly nurses. Aim: To estimate the prevalence of anxiety and insomnia and to evaluate their possible association with family support received by nurses two years after the onset of the pandemic. Materials and methods: In total, the study participants were 404 nurses (335 females and 69 males) with a mean age of 42.88 (SD = 10.9) years and a mean of 17.96 (SD = 12) years working as nurses. Nurses from five tertiary hospitals in Athens constituted the study population who completed the questionnaires State-Trait Anxiety Inventory (STAI), Athens Insomnia Scale (AIS) and Family Support Scale (FSS), in the months of November and December 2021. Regarding demographic and occupational characteristics, gender, age and years of experience as nurses were recorded. Results: 60.1% of the nurses showed abnormal scores in state anxiety, with 46.8% in trait anxiety, and 61.4% showed insomnia. Women showed higher scores on the two subscales of anxiety and the insomnia scale compared to men (p < 0.01 and p < 0.05 respectively), while they showed a lower score on the FSS without statistical significance (p > 0.05). Positive correlations (p < 0.01) were found between the State Anxiety Inventory, Trait Anxiety Inventory and AIS, while all of them showed a high negative correlation with FSS (p < 0.01). Age showed a negative correlation with Trait Anxiety Inventory (p < 0.05). As shown by the mediation analysis, the relationship between state anxiety and insomnia was mediated by trait anxiety, whereas state anxiety appeared to be dependent on family support. Conclusions: Nurses continue to experience high levels of anxiety and insomnia and feel less supported by their families than in the first year of the pandemic. Insomnia appears to be dependent on state anxiety, with a significant indirect effect of trait anxiety, while family support seems to affect state anxiety.

The development and validation of the pandemic medication-assisted treatment questionnaire for the assessment of pandemic crises impact on medication management and administration for patients with opioid use disorders.

Pandemic and the globally applied restriction measures mainly affect vulnerable population groups, such as patients with opioid use disorders. Towards inhibiting SARS-Cov-2 spread, the medication-assisted treatment (MAT) programs follow strategies targeting the reduction of in-person psychosocial interventions and an increase of take-home doses. However, there is no available instrument to examine the impact of such modifications on diverse health aspects of patients under MAT. The aim of this study was to develop and validate the PANdemic Medication-Assisted Treatment Questionnaire (PANMAT/Q) to address the pandemic effect on the management and administration of MAT. In total, 463 patients under ΜΑΤ participated. Our findings indicate that PANMAT/Q has been successfully validated exerting reliability and validity. It can be completed within approximately 5 min, and its implementation in research settings is advocated. PANMAT/Q could serve as a useful tool to identify the needs of patients under MAT being at high risk of relapse and overdose.

The Mediating Role of Depression and of State Anxiety οn the Relationship between Trait Anxiety and Fatigue in Nurses during the Pandemic Crisis.

The coronavirus pandemic (COVID-19) is a global health crisis with a particular emotional and physical impact on health professionals, especially nurses. The aim of this study was to investigate the prevalence of anxiety, depression and fatigue and their possible relationships among nurses during the pandemic. The study population consisted of nurses from five tertiary-level public hospitals in Athens who completed the Fatigue Assessment Scale (FAS), Beck Depression Inventory (BDI) and State-Trait Anxiety Inventory (STAI) questionnaires. Gender, age and years of work experience were recorded. The study was conducted from mid-November to mid-December 2021. The sample included 404 nurses (69 males and 335 females) with a mean age of 42.88 years (SD = 10.90) and 17.96 (SD = 12.00) years of work experience. Symptoms of fatigue were noted in 60.4% of participants, while 39.7% had symptoms of depression, 60.1% had abnormal scores on state anxiety and 46.8% on trait anxiety, with females showing higher scores on all scales (p < 0.05). High positive correlations (p < 0.01) were found between the FAS, BDI, State Anxiety and Trait Anxiety scales. Regression analysis showed that 51.7% of the variance in FAS scores can be explained by trait anxiety, an additional 6.2% by the BDI and 1.2% by state anxiety. Mediation analysis showed that state anxiety and BDI mediate the relationship between trait anxiety and FAS. Finally, BDI was found to exert a moderating role in the relationship between trait anxiety and fatigue. In conclusion, our study showed that nurses continue to experience high rates of anxiety, depression and fatigue. The variation in fatigue appears to be significantly dependent on trait anxiety. Depressive symptomatology and state anxiety exert a parallel positive mediation on the relationship between trait anxiety and fatigue, with depression exhibiting a moderating role in this relationship.

The development and validation of the pandemic medication-assisted treatment questionnaire for the assessment of the impact of pandemic crises on medication management and administration for patients with opioid use disorders (preprint)

COVID-19 pandemic and the globally applied restriction measures mainly affect vulnerable population groups, such as patients with opioid use disorders. Towards inhibiting SARS-COV-2 spread, the medication-assisted treatment (MAT) programs follow strategies targeting reduction of in-person psychosocial interventions, and increase of take-home doses. However, there is no available instrument to examine the impact of such modifications on diverse health aspects of patients under MAT. The aim of this study was to develop and validate the PANdemic Medication-Assisted Treatment Questionnaire (PANMAT/Q) to address the pandemic effect on the management and administration of MAT. In total, 463 patients under ΜΑΤ participated. Our findings indicate that PANMAT/Q has been successfully validated exerting reliability and validity. It can be completed within approximately 5 minutes, and its implementation in research settings is advocated. PANMAT/Q could serve as a useful tool to identify the needs of patients under MAT being in high risk for relapse and overdose.

Nursing staff fatigue and burnout during the COVID-19 pandemic in Greece.

INTRODUCTION: The coronavirus pandemic (COVID-19) is an unprecedented global health crisis with emotional and physical impact on health care workers. OBJECTIVE: The purpose of this study was to investigate the levels of fatigue and burnout in nursing staff during the pandemic. METHODS: The present study involved nursing staff from hospitals in Greece in February 2021, who completed the Fatigue (FAS) and Burnout (CBI) questionnaires. Gender, age, years of work experience, workplace (COVID-19 or non-COVID-19 wards) and SARS-CoV-2 infection status were recorded. RESULTS: The sample included 593 women and 108 men, with a mean age ± SD: 42.9 ± 9.9 years and 18.14 ± 10.8 years work experience. Slightly more than half, (367, 52.4%) worked in COVID-19 departments. Fifty-six (8%) tested positive for SARS-CoV-2 and 14 of them needed to be treated. The mean ± SD FAS and CBI scores were 25.6 ± 7.4 and 46.9 ± 18.8, respectively (67.9% and 42.9% had scores suggestive of fatigue and burnout, respectively). Women showed higher values in both scales (p < 0.01). Subjects working in COVID-19 wards scored significantly higher on both the FAS and CBI scales; they were also younger and with less work experience (p < 0.01). Staff treated for COVID-19 scored higher on the burnout scale (p < 0.01) than the uninfected staff. Fatigue showed a strong positive correlation with burnout (p < 0.01, r = 0.70). Stepwise multiple regression showed that the variation of fatigue was explained by 47.0% and 6.1% by the scores on the subscales of personal and work-related burnout, respectively. CONCLUSION: In conclusion, high rates of fatigue and burnout were found in the studied population. Nurses working with COVID-19 patients had higher rates of fatigue and burnout compared to those working elsewhere. There was a strong positive correlation (r = 0.70) between burnout and fatigue. Particular attention should be paid to staff who became ill and need to be treated.