Predictors of healthcare workers' intention to vaccinate against COVID-19: A cross sectional study from Saudi Arabia

BackgroundVaccination is considered the best way to prevent the spread of COVID-19 and to prevent the complications of the disease. Nevertheless, no awareness campaigns were conducted in Saudi Arabia until March 1, 2021, when the Vaxzevria, or ChAdOx1 nCoV-19 (AZD1222), vaccine became available.ObjectivesThis study aims to determine the factors that can predict healthcare workers’ acceptance of the COVID-19 vaccine.MethodsA cross-sectional study was conducted from July to September 2021, in our university tertiary hospital (King Saud University Medical City [KSUMC]), Riyadh, Saudi Arabia. The study targeted potential participants among healthcare workers at KSUMC. We assessed healthcare workers’ perceptions and beliefs about the COVID-19 vaccine via a questionnaire that was distributed via social media applications such as WhatsApp, Twitter, and Google. Participants were informed about the questionnaire before they filled it out, and they were asked to respond to three screening questions before beginning the main questionnaire. These screening questions ensured that the participants met the inclusion criteria. Included participants were over the age of 18, agreed to answer the questions, and were residents of Saudi Arabia. The participants filled out the self-administered questionnaire.ResultsA total of 529 participants completed the questionnaires. All participants were vaccinated, 68% were female, 55% were married, 35% had been working for less than five years, and 65% had a bachelor’s degree. More than half of participants had not previously been infected with COVID-19, and most did not interact with COVID-19 patients. More convenient access to the vaccine increased the odds ratio of participant vaccination by 0.39. An increase in the number of vaccinated friends and family members increased the odds ratio of participant vaccination by 0.30. However, COVID- 19 vaccination mandates decreased the odds ratio of participant vaccination by 0.27. The fitted linear regression model explained 32% of the variation observed in the dependent variable, acceptance of the COVID-19 vaccine, and the adjusted R squared was 0.32. The fitted regression model was statistically significant at a 95% confidence interval; the p-value was 0.00001.ConclusionIn Saudi Arabia, there is an immense need to increase uptake of the COVID-19 vaccine. This requires encouraging more positive beliefs and attitudes regarding vaccination in general and the COVID-19 vaccine in particular.     

Prevalence and determinants of healthcare avoidance during the COVID-19 pandemic: A population-based cross-sectional study

BackgroundDuring the Coronavirus Disease 2019 (COVID-19) pandemic, the number of consultations and diagnoses in primary care and referrals to specialist care declined substantially compared to prepandemic levels. Beyond deferral of elective non-COVID-19 care by healthcare providers, it is unclear to what extent healthcare avoidance by community-dwelling individuals contributed to this decline in routine healthcare utilisation. Moreover, it is uncertain which specific symptoms were left unheeded by patients and which determinants predispose to healthcare avoidance in the general population. In this cross-sectional study, we assessed prevalence of healthcare avoidance during the pandemic from a patient perspective, including symptoms that were left unheeded, as well as determinants of healthcare avoidance.Methods and findingsOn April 20, 2020, a paper COVID-19 survey addressing healthcare utilisation, socioeconomic factors, mental and physical health, medication use, and COVID-19–specific symptoms was sent out to 8,732 participants from the population-based Rotterdam Study (response rate 73%). All questionnaires were returned before July 10, 2020. By hand, prevalence of healthcare avoidance was subsequently verified through free text analysis of medical records of general practitioners. Odds ratios (ORs) for avoidance were determined using logistic regression models, adjusted for age, sex, and history of chronic diseases. We found that 1,142 of 5,656 included participants (20.2%) reported having avoided healthcare. Of those, 414 participants (36.3%) reported symptoms that potentially warranted urgent evaluation, including limb weakness (13.6%), palpitations (10.8%), and chest pain (10.2%). Determinants related to avoidance were older age (adjusted OR 1.14 [95% confidence interval (CI) 1.08 to 1.21]), female sex (1.58 [1.38 to 1.82]), low educational level (primary education versus higher vocational/university 1.21 [1.01 to 1.46), poor self-appreciated health (per level decrease 2.00 [1.80 to 2.22]), unemployment (versus employed 2.29 [1.54 to 3.39]), smoking (1.34 [1.08 to 1.65]), concern about contracting COVID-19 (per level increase 1.28 [1.19 to 1.38]) and symptoms of depression (per point increase 1.13 [1.11 to 1.14]) and anxiety (per point increase 1.16 [1.14 to 1.18]). Study limitations included uncertainty about (perceived) severity of the reported symptoms and potentially limited generalisability given the ethnically homogeneous study population.ConclusionsIn this population-based cross-sectional study, 1 in 5 individuals avoided healthcare during lockdown in the COVID-19 pandemic, often for potentially urgent symptoms. Healthcare avoidance was strongly associated with female sex, fragile self-appreciated health, and high levels of depression and anxiety. These results emphasise the need for targeted public education urging these vulnerable patients to timely seek medical care for their symptoms to mitigate major health consequences.

Marije J. Splinter and colleagues assess the prevalence of healthcare avoidance during the COIVD-19 pandemic and investigate related determinants     

Knowledge,attitude and practices of healthcare professionals of Riyadh,Saudi Arabia towards covid-19: A cross-sectional study

Background & objectivesCOVID-19 is an emerging pandemic that necessitates the implementation of effective infection prevention and control steps. The knowledge, attitudes, and practices (KAP) of healthcare professionals toward COVID-19 affect their compliance to prevention and control initiatives. During the evolving pandemic, we examined the KAP among healthcare professionals against COVID-19 in this research.Materials and methodsThis was a cross-sectional study conducted among Riyadh region health care professionals from the beginning of December 2020 to the end of February 2021 using a validated self-administered questionnaire. The knowledge questionnaire contained questions about COVID-19 clinical characteristics, prevention, and management. The evaluation of attitudes and practices included questions regarding actions and adjustments in COVID-19 response activities. Knowledge scores were measured and compared using demographic characteristics, as well as attitudes and practices toward COVID-19. Using SPSS-IBM 25, bivariate statistics were done to analyze the data.Results146 healthcare professionals completed the survey. Physicians were the most prominent party in the survey, accounting for 74 (51 percent), followed by nurses 44 (30 percent) and pharmacists 28 (19 percent). The participants' average age was 39.69 ± 8.48 years. The participant's mean knowledge, attitude, and practice scores were 11.43 ± 1.34, 3.89 ± 0.93, and 3.85 ± 0.81, respectively. With a positive attitude, the mean knowledge score was 11.52, and with proper practice, it was 11.32. With an improvement in knowledge, the attitude score increased significantly (r = 0.172, P = 0.001). Besides, there was a greater association between attitudes and practices (r = 0.170, P = 0.029). A significant enhancement in the practice score of the professionals was noted with an increase in knowledge score (r = 0.095, P = 0.010), an indicator for a positive correlation between practice and knowledge scores.Interpretation & conclusionHealthcare practitioners have a good understanding of COVID-19. Improved knowledge and a positive attitude toward COVID-19 infection are linked to appropriate practice. There is a need for more manpower, better COVID-19 management training, and strategies to reduce anxiety among healthcare professionals.     

COVID-19 Outcomes of Patients With Differentiated Thyroid Cancer: A Multicenter Los Angeles Cohort Study

ObjectiveCancer may be a risk factor for worse outcomes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infections. However, there is a significant variability across cancer types in the extent of disease burden and modalities of cancer treatment that may impact morbidity and mortality from coronavirus disease-19 (COVID-19). Therefore, we evaluated COVID-19 outcomes in patients with a differentiated thyroid cancer (DTC) history.MethodsThis is a retrospective cohort study of patients with a history of DTC and SARS-CoV2 infection from 2 academic Los Angeles healthcare systems. Demographic, thyroid cancer, and treatment data were analyzed for associations with COVID-19 outcomes.ResultsOf 21 patients with DTC and COVID-19, 8 (38.1%) were hospitalized and 2 (9.5%) died from COVID-19. Thyroid cancer initial disease burden and extent, treatment, or current response to therapy (eg, excellent vs incomplete) were not associated with COVID-19 severity in DTC patients. However, older age and the presence of a comorbidity other than DTC were significantly associated with COVID-19 hospitalization (P = .047 and P = .024, respectively). COVID-19–attributed hospitalization and mortality in DTC patients was lower than that previously reported in cancer patients, although similar to patients with nonthyroid malignancies in these centers.ConclusionThese data suggest that among patients with DTC, advanced age and comorbid conditions are significant contributors to the risk of hospitalization from SARS-CoV2 infection, rather than factors associated with thyroid cancer diagnosis, treatment, or disease burden. This multicenter report of clinical outcomes provides additional data to providers to inform DTC patients regarding their risk of COVID-19.     

Incidence and impact of cardiac arrhythmias in coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis

BackgroundStudies have shown that cardiac arrhythmias may occur in up to 44% of patients with severe coronavirus disease 2019 (COVID-19) and has been associated with an increased risk of death. This systematic review and meta-analysis aimed to evaluate the incidence of cardiac arrhythmias in patients with COVID-19 and their implications on patient prognosis.MethodsWe performed a systematic literature search from PubMed, SCOPUS, Europe PMC, Cochrane Central Databases, and Google Scholar + Preprint Servers. The primary endpoint of the study was poor outcomes including mortality, severe COVID-19, and the need for ICU care.ResultsA total of 4 studies including 784 patients were analyzed. The incidence of arrhythmia in patients with COVID-19 was 19% (9–28%; I²: 91.45). Arrhythmia occurred in 48% (38–57%; I²: 48.08) of patients with poor outcome and 6% (1–12%; I²: 85.33%) of patients without poor outcome. Patients with COVID-19 experiencing arrhythmia had an increased risk of poor outcome (RR 7.96 [3.77, 16.81], p < 0.001; I²: 71.1%). The funnel-plot analysis showed an asymmetrical funnel plot with most of the studies on the right side of the effect estimate. The regression-based Egger’s test showed indication of small-study effects (p = 0.001).ConclusionCardiac arrhythmias were significantly associated with an increased risk of poor outcome in COVID-19. Arrhythmias were observed in 19% of patients with COVID-19 and in 48% of patients with COVID-19 and poor outcomes.     

Factors associated with the unwillingness of Jordanians,Palestinians and Syrians to be vaccinated against COVID-19

BackgroundThe COVID-19 pandemic is expected to continue to inflect immense burdens of morbidity and mortality, not to mention the sever disruption of societies and economies worldwide. One of the major challenges to managing COVID-19 pandemic is the negative attitudes towards vaccines and the uncertainty or unwillingness to receive vaccinations. We evaluated the predictors and factors behind the negative attitudes towards COVID-19 vaccines in 3 countries in the Middle East.MethodsA cross-sectional, self-administered survey was conducted between the 1^st and the 25^th of December, 2020. Representative sample of 8619 adults residing in Jordan, West Bank, and Syria, completed the survey via the Web or via telephone interview. The survey intended to assess intent to be vaccinated against COVID-19 and to identify predictors of and reasons among participants unwilling/hesitant to get vaccinated.ResultsThe total of the 8619 participants included in this study were the ones who answered the question on the intent to be vaccinated. Overall, 32.2% of participants (n = 2772) intended to be vaccinated, 41.6% (n = 3589) didn’t intend to get vaccinated, and 26.2% (n = 2258) were not sure. The main factors associated with the willingness to take the vaccine (yes responses) included females, 18–35 years old, Syrians and Jordanians, a large family size, and having received a flu vaccine last year. Reasons for vaccine hesitancy included the lack of rigorous evaluation of the vaccine by the FDA and the possible long-term health risks associated with the vaccines (the wait-and-see approach).ConclusionThis survey, conducted in December when the number of cases and deaths per day due to COVID-19 were at or near peak levels of the initial surge in the three regions under investigation. The survey revealed that most of survey’s participants (67.8%) were unwilling/hesitant to get vaccinated against COVID-19 with the lack of trust in the approval process of the vaccine being the main concern; the two main characteristics of those participants were more than 35 years old and participants holding a Bachelor’s degree or higher. Targeted and multi-pronged efforts will be needed to increase acceptance of COVID-19 vaccine in Jordan, West Bank and Syria.     

Variables asociadas con mortalidad en una población de pacientes mayores de 80 años y con algún grado de dependencia funcional,hospitalizados por COVID-19 en un Servicio de Geriatría

ObjectiveThe SARS-CoV-2 pandemic conditions high mortality rates in hospitalized elderly. Currently, a few studies include octogenarian patients and none of them analyze the impact of functional status on this health outcome. Our objective is to describe the characteristics of patients older than 80 years hospitalized for coronavirus disease 2019 (COVID-19), to determine the mortality rate and to identify associated factors.Material and methodsProspective observational study carried out on patients over 80 years admitted for COVID-19 in a Geriatrics Service. Sociodemographic, clinical, functional, mental, analytical, radiological, therapeutic and healthcare variables were collected. The factors associated with in-hospital lethality were analyzed by bivariate analysis.Results58 cases with laboratory-confirmed COVID-19 were included, mean age 88.3 ± 5.4 years, 69% women, 65.5% moderate-severe cognitive impairment and previous Barthel index 40.66 ± 36. The main symptoms were fever (60,3%), dyspnea (53.4%) and deterioration of functional condition (50%). The most frequent comorbidities were cardiovascular disease (75.9%), hypertension (HT) (74.1%) and chronic kidney disease (CKD) (50%). A mortality rate of 41,4% was detected and the associated factors were: severe functional dependence (OR = 3.8 [1.2-12.2]), moderate-severe cognitive impairment (OR = 4.9 [1-25.4]) and CKD (OR = 3.2 [1.1-9.7]).ConclusionHigh mortality rates are observed in older patients hospitalized for COVID-19, with a higher risk of dying in those with severe functional dependence or cognitive impairment. These findings reinforce the value of Geriatric Assessment to develop strategies to adapt diagnostic and therapeutic decision-making and to optimize care for elderly patients in the event of a new epidemic outbreak.     

Disparities in distribution of COVID-19 vaccines across US counties: A geographic information system–based cross-sectional study

BackgroundThe US Centers for Disease Control and Prevention has repeatedly called for Coronavirus Disease 2019 (COVID-19) vaccine equity. The objective our study was to measure equity in the early distribution of COVID-19 vaccines to healthcare facilities across the US. Specifically, we tested whether the likelihood of a healthcare facility administering COVID-19 vaccines in May 2021 differed by county-level racial composition and degree of urbanicity.Methods and findingsThe outcome was whether an eligible vaccination facility actually administered COVID-19 vaccines as of May 2021, and was defined by spatially matching locations of eligible and actual COVID-19 vaccine administration locations. The outcome was regressed against county-level measures for racial/ethnic composition, urbanicity, income, social vulnerability index, COVID-19 mortality, 2020 election results, and availability of nontraditional vaccination locations using generalized estimating equations.Across the US, 61.4% of eligible healthcare facilities and 76.0% of eligible pharmacies provided COVID-19 vaccinations as of May 2021. Facilities in counties with >42.2% non-Hispanic Black population (i.e., > 95th county percentile of Black race composition) were less likely to serve as COVID-19 vaccine administration locations compared to facilities in counties with <12.5% non-Hispanic Black population (i.e., lower than US average), with OR 0.83; 95% CI, 0.70 to 0.98, p = 0.030. Location of a facility in a rural county (OR 0.82; 95% CI, 0.75 to 0.90, p < 0.001, versus metropolitan county) or in a county in the top quintile of COVID-19 mortality (OR 0.83; 95% CI, 0.75 to 0.93, p = 0.001, versus bottom 4 quintiles) was associated with decreased odds of serving as a COVID-19 vaccine administration location.There was a significant interaction of urbanicity and racial/ethnic composition: In metropolitan counties, facilities in counties with >42.2% non-Hispanic Black population (i.e., >95th county percentile of Black race composition) had 32% (95% CI 14% to 47%, p = 0.001) lower odds of serving as COVID administration facility compared to facilities in counties with below US average Black population. This association between Black composition and odds of a facility serving as vaccine administration facility was not observed in rural or suburban counties. In rural counties, facilities in counties with above US average Hispanic population had 26% (95% CI 11% to 38%, p = 0.002) lower odds of serving as vaccine administration facility compared to facilities in counties with below US average Hispanic population. This association between Hispanic ethnicity and odds of a facility serving as vaccine administration facility was not observed in metropolitan or suburban counties.Our analyses did not include nontraditional vaccination sites and are based on data as of May 2021, thus they represent the early distribution of COVID-19 vaccines. Our results based on this cross-sectional analysis may not be generalizable to later phases of the COVID-19 vaccine distribution process.ConclusionsHealthcare facilities in counties with higher Black composition, in rural areas, and in hardest-hit communities were less likely to serve as COVID-19 vaccine administration locations in May 2021. The lower uptake of COVID-19 vaccinations among minority populations and rural areas has been attributed to vaccine hesitancy; however, decreased access to vaccination sites may be an additional overlooked barrier.

Inmaculada Hernandez and colleagues investigate the disparities in early-phase distribution of COVID-19 Vaccines across U.S. Counties.     

Heart rate variability as a marker of cardiovascular dysautonomia in post-COVID-19 syndrome using artificial intelligence

IntroductionCardiovascular dysautonomia comprising postural orthostatic tachycardia syndrome (POTS) and orthostatic hypotension (OH) is one of the presentations in COVID-19 recovered subjects. We aim to determine the prevalence of cardiovascular dysautonomia in post COVID-19 patients and to evaluate an Artificial Intelligence (AI) model to identify time domain heart rate variability (HRV) measures most suitable for short term ECG in these subjects.MethodsThis observational study enrolled 92 recently COVID-19 recovered subjects who underwent measurement of heart rate and blood pressure response to standing up from supine position and a 12-lead ECG recording for 60 s period during supine paced breathing. Using feature extraction, ECG features including those of HRV (RMSSD and SDNN) were obtained. An AI model was constructed with ShAP AI interpretability to determine time domain HRV features representing post COVID-19 recovered state. In addition, 120 healthy volunteers were enrolled as controls.ResultsCardiovascular dysautonomia was present in 15.21% (OH:13.04%; POTS:2.17%). Patients with OH had significantly lower HRV and higher inflammatory markers. HRV (RMSSD) was significantly lower in post COVID-19 patients compared to healthy controls (13.9 ± 11.8 ms vs 19.9 ± 19.5 ms; P = 0.01) with inverse correlation between HRV and inflammatory markers. Multiple perceptron was best performing AI model with HRV(RMSSD) being the top time domain HRV feature distinguishing between COVID-19 recovered patients and healthy controls.ConclusionPresent study showed that cardiovascular dysautonomia is common in COVID-19 recovered subjects with a significantly lower HRV compared to healthy controls. The AI model was able to distinguish between COVID-19 recovered patients and healthy controls.     

Variations in length of stay of inpatients with COVID-19: A nationwide test of the new model of care under vision 2030 in Saudi Arabia

ObjectiveThe coronavirus disease 2019 (COVID-19) has impacted the Kingdom of Saudi Arabia (KSA) as it has other nations. However, length of stay (LOS), as a healthcare quality indicator, has not been examined across the healthcare regions in the KSA. Therefore, this study aimed to examine factors associated with LOS to better understand the Saudi Health System's performance in response to the COVID-19 pandemic in the newly suggested five Saudi regional business units (BUs).MethodsA retrospective study was conducted using Ministry of Health (MOH) data on hospital LOS during the period from March to mid-July 2020. Participants were adult inpatients (18 years or older) with confirmed COVID-19 (n = 1743 patients). The 13 regions of the KSA were united into the defined five regional BUs during the reorganization of the health system. Covariates included demographics such as age and sex, comorbidities, and complications of COVID-19. A multiple linear regression with stepwise forward selection was used to model LOS for other explanatory variables associated with LOS, including demographic, comorbidities, and complications.ResultsThe mean LOS was 11.85 days which differed significantly across the BUs, ranging from 9.3 days to 13.3 days (p value < 0.001). BUs differed significantly in LOS for transferred patients but not for patients in the intensive care unit (ICU) or those who died in-hospital. The multiple regression analysis revealed that the LOS for inpatients admitted in the Eastern and Southern BUs was significantly shorter than for those in the Central BU. (p value < 0.001). Admission to the ICU was associated with lengthier stays (p value < 0.0001). Factors significantly associated with shorter stays (compared to the reference), were being Saudi, death during admission, and patients referred to another hospital (p value < 0.05).ConclusionThe LOS for patients with COVID-19 differed across the proposed regional healthcare BUs, suggesting regional differences in quality of care under the reorganization of the national health system. Since patient and disease characteristics did not explain these findings, differences in staffing and other resources need to be examined to develop interventions.     

Effects and safety of herbal medicines among community-dwelling residents during COVID-19 pandemic: A large prospective,randomized controlled trial (RCT)

BackgroundSince the declaration of COVID-19 as a global pandemic by the World Health Organization, countries are struggling with a shortage of medical capacities. It would be essential if the risk for preventable comorbidities, such as the common cold, can be reduced or prevented, so that the scarce medical resources and facilities can be focused on COVID-19.PurposeTo evaluate the effects of two herbal medicines (Jinhaoartemisia antipyretic granules and Huoxiangzhengqi oral liquids) in reducing the risk of the common cold in community-dwelling residents in China during the COVID-19 outbreak.Study DesignA prospective open-label, parallel-group, cluster-randomized controlled trial (RCT), was conducted in Chengdu, China.MethodsA total of 22,065 participants from 11 communities were recruited during a period of one month. The trial started on 30 January and participants were followed up till 29 February 2020. Participants were randomly assigned to receive either a five-day herbal medicine therapy plus a reference manual or a reference manual only if they were allocated to the control group. The primary endpoint was the occurrence of patient-reported common cold symptoms. The secondary endpoint was the time in days from the receipt of herbal drugs/reference manual and the occurrence of the common cold symptoms.ResultsUse of herbal medicine reduced the risk of the common cold by 89.6% (95% CI, 52.9% to 97.7%) in all community-dwelling residents, and by 94.0% (95% CI, 52.1% to 99.2%) in residents aged between 16 and 59 years old. Sensitivity analyses showed similar results.ConclusionThis community-based RCT found that the use of a herbal medicine therapy (Jinhaoartemisia antipyretic granules and Huoxiangzhengqi oral liquids) could significantly reduce the risks of the common cold among community-dwelling residents, suggesting that herbal medicine may be a useful approach for public health intervention to minimize preventable morbidity during COVID-19 outbreak.     

Association between self-care management practices and glycemic control of patients with type 2 diabetes mellitus in Saud Arabia: A cross –sectional study

ObjectiveIn this cross-sectional study, we aimed to determine the association of self-care management practices and glycemic control of type 2 diabetes mellitus in Saudi Arabia.MethodsA total of 352 type 2 diabetes mellitus (T2DM) patients from two public tertiary hospitals in Saudi Arabia participated in this study. All T2DM patients were recruited and interviewed by a researcher between January to April 2018 from the outpatient diabetes clinics. All respondents answered a four-part questionnaire which includes demographics data, Diabetes Self-Management Questionnaire (DSMQ). Linear Regression was performed to assess the significance of predictors and compute the coefficient of determination.ResultsThe mean age of the participants was 51.89 ± 10.94. Of the 352 participants, 52% were obese (BMI: ≥30 kgm²) and 77% of the participants had glycated haemoglobin (HbA1c) over 7%. The analysis showed that subscale of Glucose management was the strongest predictor of Hba1c levels of participants’ followed by physical activity. Gender and marital status emerged as significant predictors for their self-care management practices. Female patients had more self-care management practices than male patients (B 0.20; 95CI 0.10– 0.96 (p = 0.015).ConclusionThis study provides an evidence on the self-care management of T2DM patients in Saudi Arabia. The high self-care management found in the study highlights that the patients are aware of the severity of and possible complications associated with T2DM.     

COVID-19 y personas mayores en residencias: impacto según el tipo de residencia

PurposeTo find out whether elements such as public expenditure, the coverage ratio, public or private ownership, and the size of Nursing homes relate to the number of deaths in residences per COVID-19.Material and methodsA total of 15 variables are analyzed in 17 Autonomous Communities (n = 17), where the following stand out: public expenditure per dependent person; incidence of COVID-19 in each Autonomous Community; deaths in Nursing homes by COVID-19; and analysis of places in Nursing homes. Reliability of r = 0.613. Regression analyses are carried out with the different variables, and ANOVA tests.ResultsPercentages of deaths by COVID-19 in Nursing homes, between 40% and 88%, of the total of (p < 0.001, X² = 0.975). A relationship is established between the number of deaths from COVID-19 in Nursing homes, and the higher number of private Nursing homes (p < 0.001, X² = 0.633). The larger the size of the Nursing home, the more deaths by COVID-19 were recorded (p < 0.001, X² = 0.787), with private Nursing homes having +100 places, and public Nursing homes having +100 places (p < 0.001, X² = 0.808).ConclusionsIt was found that there is a relationship between the number of deaths from COVID-19 in Nursing homes, and the fact that there are a greater number of private Nursing homes in that autonomous community. It was detected that the model of Nursing home best prepared to face the COVID-19: public Nursing homes with less than 25 places.     

SARS-CoV-2 seropositivity and COVID-19 among 5 years-old Amazonian children and their association with poverty and food insecurity

BackgroundThe epidemiology of childhood SARS-CoV-2 infection and COVID-19-related illness remains little studied in high-transmission tropical settings, partly due to the less severe clinical manifestations typically developed by children and the limited availability of diagnostic tests. To address this knowledge gap, we investigate the prevalence and predictors of SARS-CoV-2 infection (either symptomatic or not) and disease in 5 years-old Amazonian children.Methodology/Principal findingsWe retrospectively estimated SARS-CoV-2 attack rates and the proportion of infections leading to COVID-19-related illness among 660 participants in a population-based birth cohort study in the Juruá Valley, Amazonian Brazil. Children were physically examined, tested for SARS-CoV-2 IgG and IgM antibodies, and had a comprehensive health questionnaire administered during a follow-up visit at the age of 5 years carried out in January or June-July 2021. We found serological evidence of past SARS-CoV-2 infection in 297 (45.0%; 95% confidence interval [CI], 41.2–48.9%) of 660 cohort participants, but only 15 (5.1%; 95% CI, 2.9–8.2%) seropositive children had a prior medical diagnosis of COVID-19 reported by their mothers or guardians. The period prevalence of clinically apparent COVID-19, defined as the presence of specific antibodies plus one or more clinical symptoms suggestive of COVID-19 (cough, shortness of breath, and loss of taste or smell) reported by their mothers or guardians since the pandemic onset, was estimated at 7.3% (95% CI, 5.4–9.5%). Importantly, children from the poorest households and those with less educated mothers were significantly more likely to be seropositive, after controlling for potential confounders by mixed-effects multiple Poisson regression analysis. Likewise, the period prevalence of COVID-19 was 1.8-fold (95%, CI 1.2–2.6-fold) higher among cohort participants exposed to food insecurity and 3.0-fold (95% CI, 2.8–3.5-fold) higher among those born to non-White mothers. Finally, children exposed to household and family contacts who had COVID-19 were at an increased risk of being SARS-CoV-2 seropositive and–even more markedly–of having had clinically apparent COVID-19 by the age of 5 years.Conclusions/SignificanceChildhood SARS-CoV-2 infection and COVID-19-associated illness are substantially underdiagnosed and underreported in the Amazon. Children in the most socioeconomically vulnerable households are disproportionately affected by SARS-CoV-2 infection and disease.     

Are patients affected by chronic non-communicable diseases aware of their own clinical and laboratory parameters? A cross-sectional study from the south of Saudi Arabia

BackgroundPatient’s awareness of their clinical and laboratory parameters is an indicator of the degree of involvement in achieving their management goals. This investigation aimed to identify awareness of patients affected by chronic non-communicable diseases of their clinical and laboratory parameters and factors associated with the awareness.MethodsThis study was a cross-sectional investigation conducted in the Jazan region, between January and August 2020. Data was collected during phone interviews utilizing a semi-structured questionnaire. Odds ratios (ORs) were calculated to estimate the likelihood of awareness of each clinical and laboratory parameter according to the measured demographic variables.ResultsThe total number of recruited patients was 675. The mean age of participants was 53.7 years and the 28.7% of patients were illiterate. About 17% of the patient do not attend follow-up visits to any healthcare provider. When patients were asked about their parameters, 87% of them were able to report their body weight and 74% were able to report their height. However, less than half of patients were aware of their glycated hemoglobin level (HbA1c) (271/675 patients) and systolic blood pressure (BP) level (329/ 675 patients), and a minority were aware of their total cholesterol level (71/675 patients). Being female, resident in a rural area, illiterate, and older than 53 was strongly associated with high odds of limited awareness about their own clinical and laboratory parameters (P values < 0.05).ConclusionAwareness of patients affected by chronic non-communicable diseases of their own clinical and laboratory parameters in the Jazan region is sub-optimal where this limited awareness is likely to be associated with the lower engagement of patients with achieving their desired management targets.