scholarly journals Medical adherence in the time of social distancing: a brief report on the impact of the COVID-19 pandemic on adherence to treatment in patients with diabetes

Author(s):  
Debora Wilke Franco ◽  
Janine Alessi ◽  
Alice Scalzilli Becker ◽  
Bibiana Brino do Amaral ◽  
Giovana Berger de Oliveira ◽  
...  
Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4606-4606
Author(s):  
Hubert Wysoglad ◽  
Elzbieta Szczepanek ◽  
Ositadima Chukwu ◽  
Weronika Lebowa ◽  
Wiktor Nowak ◽  
...  

Abstract Introduction Introduction of imatinib and other tyrosine kinase inhibitors (TKIs) dramatically improved the quality of life (QoL) of patients with chronic myeloid leukemia (CML). However, the impact of Covid-19 on the QoL of patients with CML has not been measured so far. We aimed to investigate the QoL of CML patients during the Covid-19 pandemic, with a special focus on their personal beliefs on the pandemic, vaccinations, changes in their functioning and experience with the health service at this time. Methods Due to social distancing measures, we conducted a survey with 29 CML patients via the internet and telephone interview. 10 patients were female, 19 were male. The median age was 54. Responses were collected during and after the third wave of the SARS-COV-2 pandemic in Poland between 24 th March 2021 and 18 th July 2021. The survey was divided into three sections. Section 1 assessed patients' opinions on the pandemic, social distancing measures, and access to the health care system during the pandemic, as well as the impact of existing restrictions on their QoL. Section 2 assessed opinions on the functioning of the health care system during the pandemic, and the effect on transportation means to health care centers. Here, patients could choose more than one statement that best applied to the existing situation. Section 3 assessed patients' attitudes towards vaccinations against the influenza virus and SARS-COV-2 and their preferences for the type of vaccination. Results 72% of patients agreed that Covid-19 is a significant threat and disagreed that restrictions imposed during the pandemic were too severe. 69% commonly agreed that other people did not adequately obey social distancing measures while assessing that they comply with the existing guidelines (83%). 55% of patients agreed that the pandemic had a significantly negative impact on their QoL. 72% reported not losing control of CML during the pandemic, and nearly all (93%) stated that the pandemic did not impact their adherence to treatment with TKIs. In Section 2, the most commonly reported health care problem during the pandemic was long waiting times for medical consultations (19 replies). Difficulty with access to the lead physician and complicated, unclear procedures with hospital admission were also reported frequently (15 and 14 replies, respectively). 40% of patients were forced to change their means of transportation to healthcare facilities from public transport to a personal vehicle. In the last five years, only 34% of patients in the cohort received a vaccine against the influenza virus. Of these, 42% claimed this was due to medical personnel's inadequate information, and 37% deemed the influenza vaccine to be ineffective. 66% of patients reported to have already received the Covid-19 vaccination (45% patients had received two doses, 21% received one dose); 21% of patients did not receive the vaccination but reported that they intended to, and 14% (4 patients) of patients reported that they do not want to receive the vaccination against the SARS-COV-2 virus. Of these, 3 considered the vaccines insufficiently tested in clinical trials; 2 explained that they have contraindications to the vaccinations, and 1 patient was afraid of adverse effects related to the vaccinations. 2 of these patients had university-level degrees, 1 had a high school diploma, and 1 received vocational education. 2 lived in towns with < 20 thousand inhabitants, 1 in a city of 20-50 thousand inhabitants and 1 in a city of 50-100.000 inhabitants. 3 were female, 1 was male. When asked to determine which Covid-19 vaccination they would prefer, had they been given a choice, 80% picked the Pfizer-Biontech vaccine, 8% the Johnson and Johnson vaccine, 4% the Moderna vaccine, 4% the Sputnik vaccine, and 4% claimed that the type of vaccine did not make a difference. 0% chose the Astra-Zeneca vaccine. Limitations A limitation of our study is the small cohort of patients. A larger group of patients could help provide a more accurate measurement of patients' opinions. Yet, given the lack of previous reports, this is a good foundation for the future. Conclusions The Covid-19 pandemic has negatively impacted the QoL and access to healthcare for CML patients, although it did not impact adherence to treatment. Most patients were vaccinated against Covid-19 or prepared to receive the vaccine. More attention and time needs to be given to patients' education regarding vaccinations in the future. Figure 1 Figure 1. Disclosures Sacha: Roche: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Bristol-Myers Squibb: Honoraria, Speakers Bureau; Pfizer: Honoraria, Speakers Bureau; Angelini: Honoraria, Speakers Bureau.


2012 ◽  
Vol 7 (1) ◽  
pp. 37
Author(s):  
Donald E Cutlip ◽  

Coronary artery disease in patients with diabetes is frequently a diffuse process with multivessel involvement and is associated with increased risk for myocardial infarction and death. The role of percutaneous coronary intervention (PCI) versus coronary artery bypass grafting (CABG) in patients with diabetes and multivessel disease who require revascularisation has been debated and remains uncertain. The debate has been continued mainly because of the question to what degree an increased risk for in-stent restenosis among patients with diabetes contributes to other late adverse outcomes. This article reviews outcomes from early trials of balloon angioplasty versus CABG through later trials of bare-metal stents versus CABG and more recent data with drug-eluting stents as the comparator. Although not all studies have been powered to show statistical significance, the results have been generally consistent with a mortality benefit for CABG versus PCI, despite differential risks for restenosis with the various PCI approaches. The review also considers the impact of mammary artery grafting of the left anterior descending artery and individual case selection on these results, and proposes an algorithm for selection of patients in whom PCI remains a reasonable strategy.


Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.


Author(s):  
Shaden A. M. Khalifa ◽  
Mahmoud M. Swilam ◽  
Aida A. Abd El-Wahed ◽  
Ming Du ◽  
Haged H. R. El-Seedi ◽  
...  

The COVID-19 pandemic is a serious challenge for societies around the globe as entire populations have fallen victim to the infectious spread and have taken up social distancing. In many countries, people have had to self-isolate and to be confined to their homes for several weeks to months to prevent the spread of the virus. Social distancing measures have had both negative and positive impacts on various aspects of economies, lifestyles, education, transportation, food supply, health, social life, and mental wellbeing. On other hands, due to reduced population movements and the decline in human activities, gas emissions decreased and the ozone layer improved; this had a positive impact on Earth’s weather and environment. Overall, the COVID-19 pandemic has negative effects on human activities and positive impacts on nature. This study discusses the impact of the COVID-19 pandemic on different life aspects including the economy, social life, health, education, and the environment.


2021 ◽  
Vol 10 (s1) ◽  
Author(s):  
Pablo Marshall

Abstract Objectives: Coronavirushas had profound effects on people’s lives and the economy of many countries, generating controversy between the need to establish quarantines and other social distancing measures to protect people’s health and the need to reactivate the economy. This study proposes and applies a modification of the SIR infection model to describe the evolution of coronavirus infections and to measure the effect of quarantine on the number of people infected. Methods: Two hypotheses, not necessarily mutually exclusive, are proposed for the impact of quarantines. According to the first hypothesis, quarantine reduces the infection rate, delaying new infections over time without modifying the total number of people infected at the end of the wave. The second hypothesis establishes that quarantine reduces the population infected in the wave. The two hypotheses are tested with data for a sample of 10 districts in Santiago, Chile. Results: The results of applying the methodology show that the proposed model describes well the evolution of infections at the district level. The data shows evidence in favor of the first hypothesis, quarantine reduces the infection rate; and not in favor of the second hypothesis, that quarantine reduces the population infected. Districts of higher socio-economic levels have a lower infection rate, and quarantine is more effective. Conclusions: Quarantine, in most districts, does not reduce the total number of people infected in the wave; it only reduces the rate at which they are infected. The reduction in the infection rate avoids peaks that may collapse the health system.


Author(s):  
Jeff Nawrocki ◽  
Katherine Olin ◽  
Martin C Holdrege ◽  
Joel Hartsell ◽  
Lindsay Meyers ◽  
...  

Abstract Background The initial focus of the US public health response to COVID-19 was the implementation of numerous social distancing policies. While COVID-19 was the impetus for imposing these policies, it is not the only respiratory disease affected by their implementation. This study aimed to assess the impact of social distancing policies on non-SARS-CoV-2 respiratory pathogens typically circulating across multiple US states. Methods Linear mixed-effect models were implemented to explore the effects of five social distancing policies on non-SARS-CoV-2 respiratory pathogens across nine states from January 1 through May 1, 2020. The observed 2020 pathogen detection rates were compared week-by-week to historical rates to determine when the detection rates were different. Results Model results indicate that several social distancing policies were associated with a reduction in total detection rate, by nearly 15%. Policies were associated with decreases in pathogen circulation of human rhinovirus/enterovirus and human metapneumovirus, as well as influenza A, which typically decrease after winter. Parainfluenza viruses failed to circulate at historical levels during the spring. Total detection rate in April 2020 was 35% less than historical average. Many of the pathogens driving this difference fell below historical detection rate ranges within two weeks of initial policy implementation. Conclusion This analysis investigated the effect of multiple social distancing policies implemented to reduce transmission of SARS-CoV-2 on non-SARS-CoV-2 respiratory pathogens. These findings suggest that social distancing policies may be used as an impactful public health tool to reduce communicable respiratory illness.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corentin Cot ◽  
Giacomo Cacciapaglia ◽  
Francesco Sannino

AbstractWe employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20–40% in the infection rate in Europe and 30–70% in the US.


2021 ◽  
Vol 10 (s1) ◽  
Author(s):  
Said Gounane ◽  
Yassir Barkouch ◽  
Abdelghafour Atlas ◽  
Mostafa Bendahmane ◽  
Fahd Karami ◽  
...  

Abstract Recently, various mathematical models have been proposed to model COVID-19 outbreak. These models are an effective tool to study the mechanisms of coronavirus spreading and to predict the future course of COVID-19 disease. They are also used to evaluate strategies to control this pandemic. Generally, SIR compartmental models are appropriate for understanding and predicting the dynamics of infectious diseases like COVID-19. The classical SIR model is initially introduced by Kermack and McKendrick (cf. (Anderson, R. M. 1991. “Discussion: the Kermack–McKendrick Epidemic Threshold Theorem.” Bulletin of Mathematical Biology 53 (1): 3–32; Kermack, W. O., and A. G. McKendrick. 1927. “A Contribution to the Mathematical Theory of Epidemics.” Proceedings of the Royal Society 115 (772): 700–21)) to describe the evolution of the susceptible, infected and recovered compartment. Focused on the impact of public policies designed to contain this pandemic, we develop a new nonlinear SIR epidemic problem modeling the spreading of coronavirus under the effect of a social distancing induced by the government measures to stop coronavirus spreading. To find the parameters adopted for each country (for e.g. Germany, Spain, Italy, France, Algeria and Morocco) we fit the proposed model with respect to the actual real data. We also evaluate the government measures in each country with respect to the evolution of the pandemic. Our numerical simulations can be used to provide an effective tool for predicting the spread of the disease.


Author(s):  
Keisuke Kokubun ◽  
Yoshinori Yamakawa

The coronavirus disease (COVID-19) continues to spread globally. While social distancing has attracted attention as a measure to prevent the spread of infection, some occupations find it difficult to implement. Therefore, this study aims to investigate the relationship between work characteristics and social distancing using data available on O*NET, an occupational information site. A total of eight factors were extracted by performing an exploratory factor analysis: work conditions, supervisory work, information processing, response to aggression, specialization, autonomy, interaction outside the organization, and interdependence. A multiple regression analysis showed that interdependence, response to aggression, and interaction outside the organization, which are categorized as ”social characteristics,” and information processing and specialization, which are categorized as “knowledge characteristics,” were associated with physical proximity. Furthermore, we added customer, which represents contact with the customer, and remote working, which represents a small amount of outdoor activity, to our multiple regression model, and confirmed that they increased the explanatory power of the model. This suggests that those who work under interdependence, face aggression, and engage in outside activities, and/or have frequent contact with customers, little interaction outside the organization, and little information processing will have the most difficulty in maintaining social distancing.


2020 ◽  
Vol 23 ◽  
pp. S557
Author(s):  
A. Gurubaran ◽  
C. Holy ◽  
S. Shah ◽  
B. Nandi ◽  
H. Dwarakanathan ◽  
...  
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