Abstract:Telemedicine-based care provides remote health and social care to maintain people's autonomy and increase their quality of life. The rapidly aging population has come with a significant increase in the prevalence of chronic diseases and their effects, and thus the need for increased care and welfare. The elderly have become one of the main target groups for telecare technologies. Smart home systems allow older adults to live in the environment of their choice and protect them against institutionalization or placement in a nursing home. It gives the elderly person a feeling of reassurance and safety, and appears to be one of the most promising approaches to facilitate independent living in a community-dwelling situation. Telecare solutions give a new opportunity for diagnosis, treatment, education, and rehabilitation, and make it possible to monitor patients with a number of chronic diseases. It also reduces socioeconomic disparity with regard to access to care and gives equal chances to patients from urban and rural areas. However, although telecare has undisputed benefits, it also has some limitations. Older people are often resistant to use of new technology, in particular acquiring the knowledge and skills necessary for use of electronic devices and computer systems. Further, privacy and security are important elements when building confidence in telemedicine systems. Leaking of sensitive information, such as health or test results, may have a negative and far-reaching impact on the personal and professional life of the patient. Telemedicine-based care should now be personalized for the needs, capabilities, and preferences of the elderly, with adapta tion over time as care needs evolve. If technologies are introduced that are familiar, usable, desirable, and cost-effective, and able to be adapted to seniors' lives and plans, then telecare would become an integral part of the lives of the elderly in the near future, allowing them to function independently in a friendly home environment.

Predictors for the risk of severe COVID-19 are crucial for patient care and control of the disease. Other infectious diseases as potential comorbidities in SARS-CoV-2 infection are still poorly understood. Here we identify association between the course of COVID-19 and Lyme disease (borreliosis), caused by Borrelia burgdorferi transmitted to humans by ticks. Exposure to Borrelia was identified by multi-antigenic (19 antigens) serological testing of patients: severe COVID-19 (hospitalized), asymptomatic to mild COVID-19 (home treated or not aware of being infected), and not infected with SARS-CoV-2. Increased levels of Borrelia-specific IgGs strongly correlated with COVID-19 severity and risk of hospitalization. This suggests that a history of tick bites and related infections may contribute to the risks in COVID-19. Though mechanisms of this link is not clear yet, screening for antibodies targeting Borrelia may help accurately assess the odds of hospitalization for SARS-CoV-2 infected patients, supporting efforts for efficient control of COVID-19.

Teleconsultation has become one of the most important and sometimes the only possible forms of communication between healthcare professionals (HCPs) and their patients during the COVID-19 pandemic. The perceptions and attitudes of HCPs to teleconsultations may affect the quality of the therapeutic process provided using them. Therefore, this study aimed to understand the attitudes to and perceptions of medical teleconsultation among various HCPs during the COVID-19 pandemic. We analyzed data from a dedicated questionnaire on preferences, attitudes, and opinions about teleconsultation, which was filled by 780 Polish HCPs. Most of the HCPs were doctors and nurses (69% and 19%, respectively); most of the doctors were family physicians (50.1%). During the pandemic, teleconsultation and face-to-face contact were reported as the preferred methods of providing medical services with similar frequency. Doctors and nurses displayed the most positive attitude toward teleconsultation while the paramedics and physiotherapists took the least positive view of it. The most frequently indicated ratio of the optimal number of teleconsultations to in-person visits in primary health facilities care was 20%:80%. Most HCPs appreciate the value of teleconsultation, and more than half of them are willing to continue this form of communication with the patient when necessary or desirable.

Introduction: Influenza infection is associated with potential serious complications, increased hospitalization rates, and a higher risk of death. Materials and Methods: A retrospective comparative analysis of selected indicators of hospitalization from the University Hospital in Wroclaw, Poland, was carried out on patients with confirmed influenza infection in comparison to a control group randomly selected from among all other patients hospitalized on the respective wards during the 2018–2019 influenza season. Results: The mean laboratory testing costs for the entire hospital were 3.74-fold higher and the mean imaging test costs were 4.02-fold higher for patients with confirmed influenza than for the control group; the hospital expenses were additionally raised by the cost of antiviral therapy, which is striking when compared against the cost of a single flu vaccine. During the 2018–2019 influenza season, influenza infections among the hospital patients temporarily limited the healthcare service availability in the institution, which resulted in reduced admission rates to the departments related to internal medicine; the mean absence among the hospital staff totaled approximately 7 h per employee, despite 7.3% of the staff having been vaccinated against influenza at the hospital’s expense. Conclusions: There were significant differences in the hospitalization indicators between the patients with confirmed influenza and the control group, which markedly increased the hospital care costs in this multi-specialty university hospital.

The immune response and specific antibody production in COVID-19 are among the key factors that determine both prognostics for individual patients and the global perspective for controlling the pandemics. So called “dark figure”, that is, a part of population that has been infected but not registered by the health care system, make it difficult to estimate herd immunity and to predict pandemic trajectories. Here we present a follow up study of population screening for hidden herd immunity to SARS-CoV-2 in individuals who had never been positively diagnosed against SARS-CoV-2; the first screening was in May 2021, and the follow up in December 2021. We found that specific antibodies targeting SARS-CoV-2 detected in May as the “dark figure” cannot be considered important 7 months later due to their significant drop. On the other hand, among participants who at the first screening were negative for anti-SARS-CoV-2 IgG, and who have never been diagnosed for SARS-CoV-2 infection nor vaccinated, 26% were found positive for anti-SARS-CoV-2 IgG. This can be attributed to of the “dark figure” of the recent, fourth wave of the pandemic that occurred in Poland shortly before the study in December. Participants who were vaccinated between May and December demonstrated however higher levels of antibodies, than those who undergone mild or asymptomatic (thus unregistered) infection. Only 7% of these vaccinated participants demonstrated antibodies that resulted from infection (anti-NCP). The highest levels of protection were observed in the group that had been infected with SARS-CoV-2 before May 2021 and also fully vaccinated between May and December. These observations demonstrate that the hidden fraction of herd immunity is considerable, however its potential to suppress the pandemics is limited, highlighting the key role of vaccinations.

No abstract

No abstract

Background: Oncology patients are a particularly vulnerable group to the severe course of COVID-19 due to, e.g., the suppression of the immune system. The study aimed to find links between parameters registered on admission to the hospital and the risk of later death in cancer patients with COVID-19. Methods: The study included patients with a reported history of malignant tumor (n = 151) and a control group with no history of cancer (n = 151) hospitalized due to COVID-19 between March 2020 and August 2021. The variables registered on admission were divided into categories for which we calculated the multivariate Cox proportional hazards models. Results: Multivariate Cox proportional hazards models were successfully obtained for the following categories: Patient data, Comorbidities, Signs recorded on admission, Medications used before hospitalization and Laboratory results recorded on admission. With the models developed for oncology patients, we identified the following variables that registered on patients’ admission were linked to significantly increased risk of death. They are: male sex, presence of metastases in neoplastic disease, impaired consciousness (somnolence or confusion), wheezes/rhonchi, the levels of white blood cells and neutrophils. Conclusion: Early identification of the indicators of a poorer prognosis may serve clinicians in better tailoring surveillance or treatment among cancer patients with COVID-19.