Needs of Alzheimer's Charges' Caregivers in Poland in the Covid-19 Pandemic-An Observational Study.
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ABSTRACT:
SUBMITTER: Rusowicz J
PROVIDER: S-EPMC8122957 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:COVID-19 has had a negative impact on family caregivers, whether the care receivers lived with the caregiver, in a separate community home, in supportive living, or in long-term care. This qualitative study examines the points of view of family caregivers who care in diverse settings. Family caregivers were asked to describe what could have been done to support them during the COVID-19 pandemic and to suggest supports they need in the future as the pandemic wanes. Thorne's interpretive qualitative methodology was employed to examine current caregiver concerns. Thirty-two family caregivers participated. Family caregivers thought the under-resourced, continuing care system delayed pandemic planning, and that silos in health and community systems made caregiving more difficult. Family caregivers want their roles to be recognized in policy, and they cite the need for improvements in communication and navigation. The growth in demand for family caregivers and their contributions to the healthcare system make it critical that the family caregiver role be recognized in policy, funding, and practice.
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Project description:BackgroundSince the beginning of the coronavirus disease 2019 (COVID-19) outbreak, the Critical Care Outreach Team (CCOT) remained operational to provide critical care support to acutely ill and deteriorating patients on the wards. We aimed to evaluate the demand and efficacy of the critical care outreach service during the COVID-19 pandemic.MethodWe prospectively evaluated all patients referred to critical care outreach enrolled during a twelve-month period. We reported the cumulative number of activities and interventions and baseline characteristics, acuity level and patients' clinical outcome. The rate of ICU admissions, activity plan, patients' acuity and mortality are compared to historical data pre-pandemic.ResultsAmongst 4849 patients referred, 3913 had a clinical review and of those 895 were COVID-19 positive. Non-invasive ventilation was mostly delivered to COVID-19 patients (COVID-19 +VE: 853/895, 95% vs. COVID-19 -VE: 119/3018, 4%) alongside awake prone positioning (COVID-19 +VE: 232/895, 26% vs. COVID-19 -VE: 0/3018, 0%). Compared to pre-pandemic, the cumulative number of patients assessed increased (observed: 3913 vs. historical: 3615; p = 0.204), patients meeting Level 2 acuity were higher (observed: 51% vs. historical: 21%; p = 0.003), but ICU admission rate did not increase significantly (observed: 12% vs. historical: 9%; p = 0.065), and greater mortality rate (observed: 14% vs. historical: 8%; p = 0.046) was observed.ConclusionCritical care outreach bridges the gap between the intensive care unit and general wards and supports the concept of 'critical care without walls' acting as a valuable resource in optimizing and triaging acutely unwell patients and potentially averting critical care admissions.Relevance to clinical practiceThe COVID-19 pandemic has generated an unprecedented surge of deteriorating and critically ill patients with has caused severe and sustained pressures on intensive care units (ICUs) and general wards. Acutely ill patients can deteriorate quickly, and early recognition is vital to commence critical intervention on the wards or transfer timely to ICU. The Critical Care Outreach Team can help staff and optimize acutely ill and deteriorating patients by providing timely critical care interventions at the patient bedside.
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Project description:BackgroundTherapy of severely affected coronavirus patient, requiring intubation and sedation is still challenging. Recently, difficulties in sedating these patients have been discussed. This study aims to describe sedation practices in patients with 2019 coronavirus disease (COVID-19)-induced acute respiratory distress syndrome (ARDS).MethodsWe performed a retrospective monocentric analysis of sedation regimens in critically ill intubated patients with respiratory failure who required sedation in our mixed 32-bed university intensive care unit. All mechanically ventilated adults with COVID-19-induced ARDS requiring continuously infused sedative therapy admitted between April 4, 2020, and June 30, 2020 were included. We recorded demographic data, sedative dosages, prone positioning, sedation levels and duration. Descriptive data analysis was performed; for additional analysis, a logistic regression with mixed effect was used.ResultsIn total, 56 patients (mean age 67 (±14) years) were included. The mean observed sedation period was 224 (±139) hours. To achieve the prescribed sedation level, we observed the need for two or three sedatives in 48.7% and 12.8% of the cases, respectively. In cases with a triple sedation regimen, the combination of clonidine, esketamine and midazolam was observed in most cases (75.7%). Analgesia was achieved using sufentanil in 98.6% of the cases. The analysis showed that the majority of COVID-19 patients required an unusually high sedation dose compared to those available in the literature.ConclusionThe global pandemic continues to affect patients severely requiring ventilation and sedation, but optimal sedation strategies are still lacking. The findings of our observation suggest unusual high dosages of sedatives in mechanically ventilated patients with COVID-19. Prescribed sedation levels appear to be achievable only with several combinations of sedatives in most critically ill patients suffering from COVID-19-induced ARDS and a potential association to the often required sophisticated critical care including prone positioning and ECMO treatment seems conceivable.
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Project description:BackgroundMultiple efforts have been taken across the world to bridge gaps in evidence and provide recommendations for dementia care and caregiver support during the COVID-19 pandemic. We aimed to review the available literature on measures used to alleviate the negative impacts of the pandemic on dementia care.MethodsWe searched three databases: PubMed, CINAHL and PsycINFO to identify studies that described strategies that were recommended or taken to provide care and support to persons with dementia and their caregivers during the COVID-19 pandemic.ResultsWe included a total of 37 papers, originating from high, middle and low-income countries. We also included 6 papers exploring safety of COVID-19 vaccinations. Infection prevention recommendations predominantly involved providing consistent reminders to persons with dementia to engage in infection prevention measures and included measures to restrict wandering in long-term care settings to reduce spread of infection. Medical care included tele and video consultations to maintain and monitor clinical stability. Guidance for continuing rehabilitation activities for persons with dementia through remotely conducted cognitive stimulating activities, physical exercises and environmental modifications were further highlighted by multiple studies/articles. In addition, strategies to support caregivers were also advised and included teleconsultations and psycho-educational programs.ConclusionThe COVID-19 pandemic has exposed gaps in health and social care systems across the world, but has also revealed the enduring dedication of clinicians, expert groups and dementia support organizations to modify and adapt existing dementia care services to meet the needs of persons with dementia and their caregivers during periods of emergency.
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Project description:BackgroundIn the course of the COVID-19 pandemic, nurses have played vital roles in clinical treatment. Their success in providing adequate care services depends on their psychological state, which determines their physical health, work status, therapeutic outcomes, and response to public health emergencies. However, a limited number of studies have evaluated psychological care needs from the perspective of nurses. This study aimed to describe the psychological care needs for frontline nurses in the course of the COVID-19 pandemic.MethodsThis was a qualitative descriptive study. Data were collected through semi-structured in-depth interviews with 15 frontline nurses who had been involved in the care of COVID-19 positive patients during the COVID-19 pandemic, and received psychological care. The conventional content analysis was used to identify themes from the interview transcripts.ResultsFour major themes about the psychological care needs of frontline nurses were identified: (1) psychological service providers (categories: professional service team, trustworthy person or group, ability to empathize with nurses); (2) problems with psychological care (categories: lack of universal screening and focused attention, online group counseling lacks targeting, psychological interventions lack individualization); (3) psychological care content (categories: mental health-related education, recognition of nurses' contributions, problem-solving therapy, psychological counseling and venting); (4) organization and management of psychological services (categories: focus on the psychological care needs of frontline nurses, build a standardized psychological service process system).ConclusionIt is important to understand individual psychological care needs of frontline nurses and to provide them with tailor-made psychological care that meet their needs. This will improve their mental health, promote clinical care and quality responses to public health emergencies.
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Project description:BackgroundThe COVID-19 pandemic has affected people's daily lives and has caused economic loss worldwide. Anecdotal evidence suggests that the pandemic has increased depression levels among the population. However, systematic studies of depression detection and monitoring during the pandemic are lacking.ObjectiveThis study aims to develop a method to create a large-scale depression user data set in an automatic fashion so that the method is scalable and can be adapted to future events; verify the effectiveness of transformer-based deep learning language models in identifying depression users from their everyday language; examine psychological text features' importance when used in depression classification; and, finally, use the model for monitoring the fluctuation of depression levels of different groups as the disease propagates.MethodsTo study this subject, we designed an effective regular expression-based search method and created the largest English Twitter depression data set containing 2575 distinct identified users with depression and their past tweets. To examine the effect of depression on people's Twitter language, we trained three transformer-based depression classification models on the data set, evaluated their performance with progressively increased training sizes, and compared the model's tweet chunk-level and user-level performances. Furthermore, inspired by psychological studies, we created a fusion classifier that combines deep learning model scores with psychological text features and users' demographic information, and investigated these features' relations to depression signals. Finally, we demonstrated our model's capability of monitoring both group-level and population-level depression trends by presenting two of its applications during the COVID-19 pandemic.ResultsOur fusion model demonstrated an accuracy of 78.9% on a test set containing 446 people, half of which were identified as having depression. Conscientiousness, neuroticism, appearance of first person pronouns, talking about biological processes such as eat and sleep, talking about power, and exhibiting sadness were shown to be important features in depression classification. Further, when used for monitoring the depression trend, our model showed that depressive users, in general, responded to the pandemic later than the control group based on their tweets (n=500). It was also shown that three US states-New York, California, and Florida-shared a similar depression trend as the whole US population (n=9050). When compared to New York and California, people in Florida demonstrated a substantially lower level of depression.ConclusionsThis study proposes an efficient method that can be used to analyze the depression level of different groups of people on Twitter. We hope this study can raise awareness among researchers and the public of COVID-19's impact on people's mental health. The noninvasive monitoring system can also be readily adapted to other big events besides COVID-19 and can be useful during future outbreaks.
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