COVID-19 risk perceptions, worries and preventive behaviors in patients with previous pulmonary embolism

Perceptions of COVID-19 risk among individuals with preexisting health conditions

OBJECTIVES

To examine the association between the presence of preexisting health conditions (PEC) and the perceived risk of catching COVID-19 at the beginning of the pandemic and assess how risk perceptions changed over time.

METHODS

We used data collected as part of the "Impact of COVID-19" baseline and follow-up surveys to complete our analyses. Participants were interviewed to collect their perceptions of the risk of catching COVID-19 (baseline and follow-up) and the number and type of PEC. Kruskal-Wallis and chi-square tests were used to assess differences in baseline characteristics, and prevalence ratios were estimated using crude and adjusted modified Poisson generalized linear models.

RESULTS

Of the overall study population, 7,069 participants were eligible for the analysis. The majority (83.7%) of the eligible study population had a history of any PEC. Those with a history of any PEC had a median age of 58 (range: 19-97), were primarily female (67.6%), White non-Hispanic (87.8%), had some college (30.3%), were married or living as married (74.4%), lived in an urban region (67.6%), and reported good (35.4%) or very good (33.9%) health. At baseline, study participants with a history of any PEC were more likely to be concerned about catching COVID-19, using a scale of 0-100, compared to those without PECs (Mean[SD] 60.8[29.8] vs. 53.2[29.7]; p < 0.001), as well as more likely concerned about someone they knew catching COVID-19 (Mean[SD] 70.0[28.8] vs. 64.4[29.4]; p < 0.001). The main effects models showed that self-concern of getting COVID-19 was higher in individuals with any PEC, compared to those with no history of PEC (Prevalence Ratio [PR], 1.15; 95%CI, 1.03-1.29); self-concern was lower at follow-up for those with any PEC, compared to baseline (PR, 0.68; 95%CI, 0.65-0.71). There was evidence of an interaction in the models of concern for self and others, suggesting that one's perception of risk was influenced by both the presence/absence of PECs and study time points.

CONCLUSIONS

Individuals with PECs perceived a higher risk of COVID-19 infection for themselves and others towards the beginning of the pandemic, although this perception of susceptibility, or risk, was lower at follow-up. In this study, we showed that attitudes toward health and risk of disease of oneself and others may change throughout a pandemic.

COVID-19 prevention and rehabilitation related knowledge and practices among Egyptian post-COVID-19 patients

BACKGROUND

Even with the mild form of COVID-19, people need to practice the proper preventive measures to achieve health, safety and control spread of infection. Few studies assessed sound disinfection and rehabilitative knowledge. This study aims to assess the self-reported, knowledge of specific disinfection measures among post-recovery COVID-19 patients and identifying the most requested knowledge items regarding the prevention and post COVID rehabilitation measures.

METHODS

This is an exploratory cross-sectional study using an electronically open survey. A pre-tested e-questionnaire was employed for data assembling. The sample size was calculated and a total of 417 people completed the questionnaire. Knowledge score was calculated for preventive and disinfection measures during and after COVID 19 infection. It comprised three sections: socio-demographics, study participants' knowledge regarding precautions, disinfection, and rehabilitation measures, as well as sources of knowledge about COVID-19.

RESULTS

All participants infected with COVID-19 (82%) reported self-isolation for ten days after confirming the infection, with only 18% required hospitalization. Regarding the information needed by the participants, the highest requests were for the rehabilitation information after COVID-19 and preventive measures. Females under 30 years old and those with a college education or higher were significantly more likely to request rehabilitation information after COVID-19 (P-value 0.05). Nevertheless, males were significantly more interested in information regarding preventive measures; They were over 30 years old and had education below university (P-value 0.05). Participants (above 30 years old) had significantly higher knowledge of preventive and disinfection measures during and after COVID-19 infection (P = 0.030).

CONCLUSION

After the COVID-19 experience, most participants demonstrated a great desire for rehabilitation information and proper preventive measures. This paves the way for delivering self-management and rehabilitation knowledge and emphasizing the significance of various prevention modalities.

[Approaching patient experience following pulmonary embolism: A systematic review]

INTRODUCTION

Pulmonary embolism (PE) is the major complication of thromboembolic disease. While a few qualitative studies have explored patient experience after PE, to our knowledge no literature review is available to date. The aim of this work was to explore patient experience after a PE episode through a systematic review of the literature comprising: patient experience, clinicians' perception of the patients' attitude and knowledge, and the patients' perception of VTE prevention strategies.

METHODS

A search of PubMed, Web of science, Cochrane and EMBASE databases. The search was conducted without filters. Search results were combined and duplicates were removed. The selection was blinded by two independent researchers using the Rayyan application.

RESULTS

Fifty studies were assessed for quality and 23 were included. Individual semi-structured interviews and focus groups were widely used to explore patient experience after a PE episode. Patients described deterioration in their quality of life, their psychological state and an initial feeling of carer abandonment. The trends observed appear to be more pronounced in patients with an episode characterized as unprovoked.

CONCLUSION

These preliminary results call for further longitudinal studies, the objective being to better understand the evolution of these factors in the short and long terms.

COVID-19 risk perceptions, worries and preventive behaviors in patients with previous myocardial infarction: results from the myocardial infarction registry Augsburg

Despite the known association of chronic cardiovascular diseases and more severe courses of COVID-19, little is known about individual risk perception of patients with a history of acute myocardial infarction (AMI) and resulting preventive behaviours. In May 2020, a postal survey was conducted, including 150 patients with previous AMI from the myocardial infarction registry Augsburg. The study objective was to assess COVID-19 knowledge, individual risk perception, worries, infection likelihood and preventive behaviours in this patient cohort. From the 100 respondents, 69.7% perceived themselves to be at high risk of developing a severe course of COVID-19. There was a significant positive correlation between dangerousness assessment and knowledge on COVID-19. Despite a majority (70%) of patients rating their susceptibility for an infection as moderate to very high, the individual likelihood of being infected was rated at only 3%. Almost 70% of patients with previous MI classified themselves at high risk for a severe course of COVID-19 infection. As seen in other risk groups as well, the availability of valuable information sources as well as the support in individual risk reduction strategies and psychological coping mechanisms are mandatory, especially since higher knowledge correlates with dangerousness assessment and might lead to better compliance with preventive behaviours.

Correlates of COVID-19 Preventative Behaviors before and after Vaccination Availability

As the COVID-19 pandemic progressed, various preventative behaviors and eventually vaccinations became available to decrease the spread of the virus. The current study examined a variety of variables (i.e., age, COVID-19-related economic hardship, interpersonal concern, personality, fear of COVID-19, normative beliefs, political beliefs, and vaccine hesitancy) to better understand predictors of preventative behaviors and vaccination status at different points throughout the pandemic. Online questionnaires, administered through Qualtrics, were used to collect data using two convenience samples. One was a small sample (N = 44) of non-student participants before the vaccine was readily available. The other sample (N = 274) included college student participants and occurred after the vaccine had been available to all participants. Results suggest that several variables (i.e., fear of COVID-19, normative beliefs, interpersonal concern, and openness) were consistent predictors of public health behaviors at both points in time and across differently aged samples. Other variables (i.e., agreeableness, extraversion, conscientiousness, and economic hardship) were less consistent with their relationships with public health behaviors. Implications related to both research and public health are discussed.

Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical loss and loss of human lives. To date, 11 variants have been identified with minimum to maximum severity of infection and surges in cases. Bacterial co-infection/secondary infection is identified during viral respiratory infection, which is a vital reason for morbidity and mortality. The occurrence of secondary infections is an additional burden to the healthcare system; therefore, the quick diagnosis of both COVID-19 and secondary infections will reduce work pressure on healthcare workers. Therefore, well-established support from Artificial Intelligence (AI) could reduce the stress in healthcare and even help in creating novel products to defend against the coronavirus. AI is one of the rapidly growing fields with numerous applications for the healthcare sector. The present review aims to access the recent literature on the role of AI and how its subfamily machine learning (ML) and deep learning (DL) are used to curb the pandemic's effects. We discuss the role of AI in COVID-19 infections, the detection of secondary infections, technology-assisted protection from COVID-19, global laws and regulations on AI, and the impact of the pandemic on public life.

Travel behaviour changes and risk perception during COVID-19: A case study of Malaysia

The COVID-19 pandemic has disrupted travel behaviours due to the need for movement restrictions. The restrictions adversely affected various aspects of health and the economy. This study aimed to investigate factors affecting trip frequency during the recovery period of the COVID-19 pandemic in Malaysia. An online national cross-sectional survey was conducted to collect data in conjunction with different movement restriction policies. The questionnaire includes socio-demographics, experience with COVID-19, risk perception of COVID-19, and trip frequency on several activities during the pandemic. Mann Whitney U was conducted to determine whether there were statistically significant differences between the socio-demographic factors for the respondents in the first and second surveys. Results show no significant difference in socio-demographic factors except for the level of education. The results indicate that the respondents from both surveys were comparable. Next, Spearman correlation analyses were conducted to find significant correlations between trip frequencies toward socio-demographics, experience with COVID-19 and risk perception. There was a correlation between the frequency of travel and risk perception for both surveys. Regression analyses were performed based on the findings to investigate trip frequency determinants during the pandemic. Perceived risk, gender, and occupation influenced the trip frequencies for both surveys. By understanding the influence of risk perception on the frequency of travel, the government can identify the appropriate policy during a pandemic or health emergency to avoid impeding normal travel behaviour. Thus, people's mental and psychological well-being are not negatively affected.

Predictive capacity of COVID-19-related risk beliefs on weight management behaviors on a commercial weight loss program and speed of COVID-19 vaccination uptake: prospective cohort study

BACKGROUND

Recent work has shown that obesity may be a risk factor for severe COVID-19. However, it is unclear to what extent individuals have heard or believe this risk factor information, and how these beliefs may predict their preventive behaviors (e.g., weight management behaviors or COVID-19 preventive behaviors). Previous work has primarily looked at overall risk likelihood perceptions (i.e., not about obesity as a risk factor) within general populations of varying weight and concentrated on COVID-19-related preventive behaviors. Therefore, this prospective cohort study explored whether beliefs about obesity as a risk factor and overall risk likelihood perceptions predicted weight management and COVID-19 preventive behaviors over the next 16 weeks in individuals with obesity or overweight.

METHODS

Participants were 393 individuals in the US who joined a commercial weight management program in January, 2021. We leveraged the mobile program's automatic measurement of real-time engagement in weight management behaviors (e.g., steps taken), while surveys measured risk beliefs at baseline as well as when individuals received COVID-19 vaccination doses (asked monthly) over the next 16 weeks. Mixed effects models predicted engagement and weight loss each week for 16 weeks, while ordinal logistic regression models predicted the month that individuals got vaccinated against COVID-19.

RESULTS

We found that belief in obesity as a risk factor at baseline significantly predicted greater engagement (e.g., steps taken, foods logged) in program-measured weight management behaviors over the next 16 weeks in models adjusted for baseline BMI, age, gender, and local vaccination rates (minimally adjusted) and in models additionally adjusted for demographic factors. Belief in obesity as a risk factor at baseline also significantly predicted speed of COVID-19 vaccination uptake in minimally adjusted models but not when demographic factors were taken into account. Exposure to obesity risk factor information at baseline predicted greater engagement over 16 weeks in minimally adjusted models.

CONCLUSIONS

The results highlight the potential utility of effective education to increase individuals' belief in obesity risk factor information and ultimately promote engagement or faster vaccination. Future research should investigate to what extent the results generalize to other populations.

Hospital Outcomes among COVID-19 Hospitalizations with Acute Ischemic Stroke: Cross-Sectional Study Results from California State Inpatient Database

Coronavirus disease 2019 (COVID-19) could be a risk factor for acute ischemic stroke (AIS) due to the altered coagulation process and hyperinflammation. This study examined the risk factors, clinical profile, and hospital outcomes of COVID-19 hospitalizations with AIS. This study was a retrospective analysis of data from California State Inpatient Database (SID) during 2019 and 2020. COVID-19 hospitalizations with age ≥ 18 years during 2020 and a historical cohort without COVID-19 from 2019 were included in the analysis. The primary outcomes studied were in-hospital mortality and discharge to destinations other than home. There were 91,420 COVID-19 hospitalizations, of which, 1027 (1.1%) had AIS. The historical control cohort included 58,083 AIS hospitalizations without COVID-19. Conditional logistic regression analysis showed that the odds of in-hospital mortality, discharge to destinations other than home, DVT, pulmonary embolism, septic shock, and mechanical ventilation were significantly higher among COVID-19 hospitalizations with AIS, compared to those without AIS. The odds of in-hospital mortality, DVT, pulmonary embolism, septic shock, mechanical ventilation, and respiratory failure were significantly higher among COVID-19 hospitalizations with AIS, compared to AIS hospitalizations without COVID-19. Although the prevalence of AIS was low among COVID-19 hospitalizations, it was associated with higher mortality and greater rates of discharges to destinations other than home.

Epidemiology, Clinico-Pathological Characteristics, and Comorbidities of SARS-CoV-2-Infected Pakistani Patients

SARS-CoV-2 is a causative agent for COVID-19 disease, initially reported from Wuhan, China. The infected patients experienced mild to severe symptoms, resulting in several fatalities due to a weak understanding of its pathogenesis, which is the same even to date. This cross-sectional study has been designed on 452 symptomatic mild-to-moderate and severe/critical patients to understand the epidemiology and clinical characteristics of COVID-19 patients with their comorbidities and response to treatment. The mean age of the studied patients was 58 ± 14.42 years, and the overall male to female ratio was 61.7 to 38.2%, respectively. In total, 27.3% of the patients had a history of exposure, and 11.9% had a travel history, while for 60% of patients, the source of infection was unknown. The most prevalent signs and symptoms in ICU patients were dry cough, myalgia, shortness of breath, gastrointestinal discomfort, and abnormal chest X-ray (p < 0.001), along with a high percentage of hypertension (p = 0.007) and chronic obstructive pulmonary disease (p = 0.029) as leading comorbidities. The complete blood count indicators were significantly disturbed in severe patients, while the coagulation profile and D-dimer values were significantly higher in mild-to-moderate (non-ICU) patients (p < 0.001). The serum creatinine (1.22 μmol L^-1; p = 0.016) and lactate dehydrogenase (619 μmol L^-1; p < 0.001) indicators were significantly high in non-ICU patients, while raised values of total bilirubin (0.91 μmol L^-1; p = 0.054), C-reactive protein (84.68 mg L^-1; p = 0.001), and ferritin (996.81 mg L^-1; p < 0.001) were found in ICU patients. The drug dexamethasone was the leading prescribed and administrated medicine to COVID-19 patients, followed by remdesivir, meropenem, heparin, and tocilizumab, respectively. A characteristic pattern of ground glass opacities, consolidation, and interlobular septal thickening was prominent in severely infected patients. These findings could be used for future research, control, and prevention of SARS-CoV-2-infected patients.

Major coagulation disorders and parameters in COVID-19 patients

Coronavirus disease 2019 (COVID-19), with a high prevalence rate, has rapidly infected millions of people around the world. Since viral infections can disrupt the coagulation and homeostasis cascades, various inflammatory and coagulation problems occur due to COVID-19 infection, similar to coronavirus epidemics in 2003 and 2004. According to multiple previous studies, in the present research, we reviewed the most commonly reported problems of COVID-19 patients, such as venous thromboembolism, pulmonary embolism, disseminated intravascular coagulation, etc. and investigated the causes in these patients. Coagulation and inflammatory markers, such as platelets and fibrinogen, C-reactive protein, lactate dehydrogenase, d-dimer, prothrombin time, etc., were also discussed, and the treatment options were briefly reviewed. In addition to coagulation treatments, regular examination of coagulation parameters and thrombotic complications can be helpful in the timely treatment of patients. Therefore, it is helpful to review the coagulation problems in COVID-19 patients. Although all mentioned problems and markers are important in COVID-19, some of them are more valuable in terms of diagnosis and prognosis.

Influencing factors for public risk perception of COVID-19 --perspective of the pandemic whole life cycle

The public's risk perception of public health emergencies will determine their behavior choices to a certain extent. Research on public risk perception of emergencies is an integral part of crisis management. From the perspective of the whole life cycle, this article takes the COVID-19 epidemic as an example. It conducts empirical analysis to study the influencing factors of public risk perception of public health emergencies. The results show that: (1) the public's risk perception is affected by individual factors, event characteristics, social influencing factors, and individual relationship factors. (2) The more the public is familiar with the epidemic, the lower the risk of the epidemic. The more the public can control the loss of the epidemic risk, the perceived epidemic risk will be reduced. The more the public trusts the supreme power of the government, the lower the risk of the epidemic in their hearts is. The higher the closeness of the risk and impact of the epidemic to individuals, the higher the level of risk perception is. (3)The public's risk perception will evolve with the development of the situation, and there are differences in recognition of government departments' control measures at different stages of public health emergencies. The relevant departments should effectively guide the public's risk response behavior in combination with the life cycle of public health emergencies. The research conclusions of this article clarify the dynamic evolution of risk perception and provide a specific reference for the emergency management of public health emergencies.

Perception of COVID-19 Prevention Methods Efficacy and Intention to Use Among Patients with Chronic Disease in Dessie Town, Northeast Ethiopia: A Multicentered Cross-sectional Study

Background

In Ethiopia, people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been increasing dramatically. COVID-19 precaution measures are essential for highly susceptible groups. However, it was not known previously to what extent chronic disease patients were perceived to know about the efficacy of prevention measures. Hence, the aim of this study was to assess perception of patients with chronic disease toward the efficacy of COVID-19 preventive measures and their intention to carry out those measures.

Methods

A multicentered institutional-based cross-sectional study was conducted among 413 patients attended in selected hospitals of Dessie town from July 21 to August 5, 2020. Hospitals were selected using the lottery method and systematic random sampling was utilized to select study participants. An interviewer-administered structured questionnaire was used to collect the data and the tool had four dimensions which include sociodemographic, clinical profile and risk assessment, perceived efficacy of prevention measures, and patient’s intention to carry out measures. In multivariable analysis, variables were declared statistically significant at a p-value of <0.05.

Results

In this study, the mean age of participants was 48.2 years (SD ±15.8 years) and 52.1% were females. In overall, 42.1% of participants had low perception on the efficacy of prevention measures and 28.3% had low intention to carry out measures. In this study, young adults (AOR=2.48; 95%CI: 1.42–4.31), male gender (AOR=2.75; 95%CI: 1.73–4.37), low literacy (AOR=3.42; 95%CI: 1.47–7.94) and face mask nonusers (AOR=1.64; 95%CI: 1.03–2.61) were significantly associated with low perceived efficacy of COVID-19 prevention methods.

Conclusion

In this study, a significant proportion of patients had low perception about the efficacy of COVID-19 prevention measures and nearly one-third of them had low intention to carry out prevention measures. Therefore, health education programs about efficacy of preventive measures should be provided by health professionals targeting high risk groups.