Live-in migrant home care workers in Germany: Stressors and resilience factors.

BACKGROUND: Thousands of Eastern Europeans find employment caring for older individuals as transmigrating live-in home care workers in private households in Germany. Studies have shown that the stressors threatening their well-being are multifaceted and include inequalities and a high practical and emotional workload, but research on protective factors is still scarce. AIM & METHODS: This qualitative descriptive study focuses on both the stressors and factors that promote care workers' well-being and contribute to their psychological resilience. In guideline-based interviews, 14 female and one male care workers were asked about their stressors and the factors that help them cope. RESULTS: Identified stressors included separation from their own family, strained relationship with either or both the care recipient (dementia) and their relatives (violation of worker´s rights and devaluation of care work), and permanent availability and lack of free time due to a 24-h care schedule. Resilience factors were both external and internal and included positive social relationships, self-determination, experience in care work, and intrinsic job motivation. CONCLUSION: Live-ins reside in an ambiguous setting, exposed to both structural and individual strains. However, external and internal resilience factors contribute to a generally positive attitude toward their job and indicate the agency of this precariously employed group. A socially anchored appreciation of their work and an officially controlled expansion of free time are mandatory to improve the working conditions of live-in care workers.

Delirium in hospitalized COVID-19 patients: Predictors and implications for patient outcome.

INTRODUCTION: Delirium is recognized as a severe complication of coronavirus-disease-2019 (COVID-19). COVID-19-associated delirium has been linked to worse patient outcomes and is considered to be of multifactorial origin. Here we sought to evaluate the incidence and risk factors of delirium in hospitalized COVID-19 patients, along with its impact on clinical outcome. METHODS: Consecutive adult COVID-19 patients admitted to a tertiary academic referral hospital between March 1st and December 31st, 2020 were included. Potential risk factors for delirium were evaluated, including: age, gender, disease severity (as per the highest WHO grading reached during admission), laboratory parameters for infection and renal function (as per their most extreme values), and presence of comorbidities. To assess the relative strength of risk factors for predicting the occurrence of delirium, we performed a random-forest survival analysis. RESULTS: 347 patients with positive COVID-19 PCR test and median age 68.2 [IQR 55.5, 80.5] years were included. Of those, 79 patients (22.8%) developed delirium, 81 (23.3%) were transferred to ICU, 58 (16.7%) died. 163 (73.8%) patients were discharged home, 13 (5.9%) to another hospital, 32 (14.5%) to nursing homes, 13 (5.9%) to rehabilitation with an overall median admission-to-discharge time of 53 [IQR 14, 195] days. The strongest predictors for the occurrence of delirium were blood urea nitrogen (minimal depth value (MD): 3.33), age (MD: 3.75), disease severity (as captured by WHO grading; MD: 3.93), leukocyte count (MD: 4.22), the presence of a neurodegenerative history (MD: 4.43), ferritin (MD: 4.46) and creatinine (MD: 4.59) levels. CONCLUSION: The risk of delirium in COVID-19 can be stratified based on COVID-19 disease severity and-similar to delirium associated with other respiratory infections-the factors advanced age, neurodegenerative disease history, and presence of elevated infection and renal-retention parameters. Screening for these risk factors may facilitate early identification of patients at high-risk for COVID-19-associated delirium.

Can follow up lung ultrasound in Coronavirus Disease-19 patients indicate clinical outcome?

PURPOSE: To evaluate whether there is a change in findings of coronavirus disease 2019 patients in follow up lung ultrasound and to determine whether these findings can predict the development of severe disease. MATERIALS AND METHODS: In this prospective monocentric study COVID-19 patients had standardized lung ultrasound (12 area evaluation) at day 1, 3 and 5. The primary end point was detection of pathologies and their change over time. The secondary end point was relationship between change in sonographic results and clinical outcome. Clinical outcome was assessed on development of severe disease defined as need for intensive care unit. RESULTS: Data of 30 patients were analyzed, 26 patients with follow-up lung ultrasound. All of them showed lung pathologies with dynamic patterns. 26,7% developed severe disease tending to have an ubiquitous lung involvement in lung ultrasound. In patients with need for intensive care unit a previously developed increase in B-lines, subpleural consolidations and pleural line irregularities was more common. A statistically significant association between change in B-lines as well as change in pleural line irregularities and development of severe disease was observed (p<0,01). CONCLUSION: The present study demonstrates that follow up lung ultrasound can be a powerful tool to track the evolution of disease and suggests that lung ultrasound is able to indicate an impending development of severe disease in COVID-19 patients.