Conectar
To investigate whether chronic diseases are associated with higher COVID-19 vaccine hesitancy and explore factors that influence COVID-19 vaccine hesitancy in patients with chronic diseases.
Vaccine hesitancy has been acknowledged as one of the greatest hazards to public health. However, little information is available about COVID-19 vaccine hesitancy among patients with chronic diseases who may be more susceptible to COVID-19 infection, severe disease or death.
From 6 to 9 August 2021, we performed an internet-based cross-sectional survey with 22,954 participants (14.78% participants with chronic diseases). Propensity score matching with 1:1 nearest neighbourhood was used to reduce confounding factors between patients with chronic diseases and the general population. Using a multivariable logistic regression model, the factors impacting COVID-19 vaccine hesitancy were identified among patients with chronic diseases.
Both before and after propensity score matching, patients with chronic diseases had higher COVID-19 vaccine hesitancy than the general population. In addition, self-reported poor health, multiple chronic diseases, lower sociodemographic backgrounds and lower trust in nurses and doctors were associated with COVID-19 vaccine hesitancy among patients with chronic diseases.
Patients with chronic diseases were more hesitant about the COVID-19 vaccine. Nurses should focus on patients with chronic diseases with poor health conditions, low socioeconomic backgrounds and low trust in the healthcare system.
Clinical nurses are recommended to not only pay more attention to the health status and sociodemographic characteristics of patients with chronic diseases but also build trust between nurses and patients by improving service levels and professional capabilities in clinical practice.
Patients or the public were not involved in setting the research question, the outcome measures, or the design or implementation of the study. However, all participants were invited to complete the digital informed consent and questionnaires.
Urinary tract infections (UTIs) stand as a prominent global health concern. This study entails a 5-year retrospective analysis, using a cross-sectional study design to examine microbiology laboratory data of individuals clinically diagnosed with UTIs at Bugando Medical Centre to gain insights into the prevalence and factors linked to candiduria.
Data extracted were meticulously cleaned and coded in an MS Excel sheet, subsequently transferred to STATA V.15 for analysis. Binary logistic regression analysis was used to identify factors associated with candiduria. A probability value below 0.05 at a 95% CI was considered statistically significant.
Urine samples for culture and sensitivity comprised 33.4% (20755) of the total biological samples (62335). The median age of the patients stood at 19 years. A slight majority were female, accounting for 52.8% (10051), and two-thirds sought treatment at outpatient departments (67.5%, 12843). Among patients with significant pathogenic growth, the prevalence of candiduria was 4.6% (221 out of 4772). Notably, inpatients exhibited a higher incidence of candiduria compared with outpatients, with rates of 9.4% (1882) versus 1.6% (2890), p value of 0.000. Non-albicans Candida spp. (NAC) remained the most prevalent pathogen. Factors significantly associated with candiduria included being female (OR=1.7, 95% CI 1.3 to 2.3) and hospital admission (OR=6.6, 95% CI 4.7 to 9.2). In conclusion, candiduria affect 5 out of every 100 UTI-diagnosed patients, predominantly among females and those admitted to the hospital. Clinicians at tertiary hospitals should consider urinary candidiasis as a potential diagnosis for patients at risk who present with UTI-like symptoms.
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