The relationship between eHealth literacy and palliative care knowledge, attitudes, and practice among nurses: a cross-sectional study.

BACKGROUND: The crucial role that nurses play in offering palliative care to patients with life-threatening diseases is widely acknowledged, but the correlation between their eHealth literacy and their knowledge, attitudes, and practice in this domain has yet to be investigated. This study is conducted to investigate the status of eHealth literacy and knowledge, attitudes, and practice regarding palliative care among nurses, and to examine their relationship. METHODS: A cross-sectional study design was conducted among 546 nurses selected from the first-class tertiary hospitals located both inside and outside of Zhejiang Province between May 12 and May 20, 2022. The online survey of eHealth literacy scale (eHEALS) and scale of knowledge, attitudes, and practice (KAP) regarding palliative care was performed using snowball sampling through the WeChat mini program "Questionnaire Star". The Spearman rank correlation and binary logistic regression model were used to analyze the independent association between eHealth literacy and KAP toward palliative care. RESULTS: The median scores of eHEALS and KAP regarding palliative care were 32 (interquartile range[IQR] 29 to 38) and 82 (IQR 54 to 106) points. The results of correlation analysis showed that the KAP regarding palliative care was significantly correlated with eHEALS (rho = 0.189, P < 0.001). In addition, the results of binary logistic regression analysis demonstrated that the eHEALS score was independently associated with the KAP score regarding palliative care when controlling for sociodemographic factors (OR = 2.109; P < 0.001). CONCLUSION: Nurses who worked in first-class tertiary hospitals have good levels of eHealth literacy, while the overall level of KAP regarding palliative care is moderate. Our findings highlight that the eHEALS score is independently associated with the KAP score regarding palliative care. Therefore, nursing managers should adopt multiple measures to comprehensively improve eHealth literacy among nurses, further enrich their knowledge of palliative care, promote a positive transformation of attitudes towards palliative care, and efficiently implement palliative care practice, in order to promote high-quality development of palliative care.

Investigation of adverse reactions in healthcare personnel working in Level 3 barrier protection PPE to treat COVID-19.

PURPOSE OF THE STUDY: The aim of our study was to investigate potential adverse reactions in healthcare professionals working in Level 3 barrier protection personal protective equipment (L3PPE) to treat patients with COVID-19. STUDY DESIGN: By using a convenience sampling approach, 129 out of 205 randomly selected healthcare professionals from the First Affiliated Hospital of Zhejiang University School of Medicine were invited to take part in a WeChat messaging app survey, Questionnaire Star, via a survey link. Healthcare personnel details were collected, including profession, years of professional experience and adverse reactions while wearing L3PPE. Survey results were divided by profession and years of professional experience; differences in adverse reactions were compared. RESULTS: Among the 129 healthcare professionals surveyed, 21 (16.28%) were doctors and 108 (83.72%) were nurses. A total of 122 (94.57%) healthcare professionals experienced discomfort while wearing L3PPE to treat patients with COVID-19. The main reasons for adverse reactions and discomfort include varying degrees of adverse skin reactions, respiratory difficulties, heat stress, dizziness and nausea. Doctors had a lower incidence of rashes (χ2=4.519, p=0.034) and dizziness (χ2=4.123, p=0.042) when compared with nurses. Junior (8.5 years of experience or fewer) healthcare personnel also experienced a higher rate of heat stress when compared with senior personnel (more than 8.5 years greater) (χ2=5.228, p=0.022). CONCLUSION: More attention should be offered to healthcare personnel wearing L3PPE to treat patients with COVID-19 because they are susceptible to developing adverse reactions.

Construction of a Risk Prediction Model for Fever After Painless Bronchoscopy.

BACKGROUND The aim of this study was to construct a risk prediction model for fever after painless bronchoscopy. MATERIAL AND METHODS A total of 188 patients were included, and a self-designed data collection form was used. By collecting relevant clinical data of patients before, during, and after the painless bronchoscopy, the influencing factors were analyzed through univariate analysis, and multiple logistic regression analysis was performed to construct the prediction equation, which was tested by ROC curve analysis. RESULTS Of the 188 patients undergoing painless bronchoscopy, 49 had postoperative fever, and the incidence rate was 26.0%. The prediction probability model was: P=eË£/1+eË£, where e is the natural logarithm, X=-4.337+0.020×(CRP)+1.014 (whether the examination time was greater than 30 minutes)+1.912×(whether remifentanil was used during anesthesia)+1.514×(whether nausea or vomiting occurred during surgery or during recovery). The prediction sensitivity and specificity were 78.26% 76.72%, respectively. CONCLUSIONS Use of this risk prediction model of fever after painless bronchoscopy can improve the recognition of people at high risk of postoperative fever, and it has good ability to guide clinical nursing observation and early screening of fever after painless bronchoscopy.

Influencing Factors and Nomogram for the Development of Epilepsy in Advanced Lung Cancer Patients With Brain Metastases.

BACKGROUND: Epilepsy is a prevalent comorbidity in patients with brain metastases (BM) and could result in sudden and accidental damage, as well as increased disease burden due to its rapid onset. Foreseeing the potential for the development of epilepsy may permit timely and efficient measures. This study aimed to analyze the influencing factors of epilepsy in advanced lung cancer (ALC) patients with BM and construct a nomogram model to predict the likelihood of developing epilepsy. METHODS: Socio-demographic and clinical data of ALC patients with BM were retrospectively collected from the First Affiliated Hospital of Zhejiang University School of Medicine between September 2019 and June 2021. Univariate and multivariate logistic regression analyses were applied to determine the influencing factors for epilepsy in ALC patients with BM. Based on the results of the logistic regression analysis, a nomogram was built to represent the contribution of each influencing factor in predicting the probability of epilepsy development in ALC patients with BM. The Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve were utilized to evaluate the goodness of fit and prediction performance of the model. RESULTS: The incidence of epilepsy among 138 ALC patients with BM was 29.7%. On the multivariate analysis, having a higher number of supratentorial lesions (odds ratio [OR] = 1.727; p = 0.022), hemorrhagic foci (OR = 4.922; p = .021), and a high-grade of peritumoral edema (OR = 2.524; p < .001) were independent risk factors for developing epilepsy, while undergoing gamma knife radiosurgery (OR = .327; p = .019) was an independent protective factor. The p-value of the Hosmer-Lemeshow test was .535 and the area under the ROC curve (AUC) was .852 (95% CI: .807-.897), suggesting the model had a good fit and exhibited strong predictive accuracy. CONCLUSION: The nomogram was constructed that can predict the probability of epilepsy development for ALC patients with BM, which is helpful for healthcare professionals to identify high-risk groups early and allows for individualized interventions.

Post-acute COVID-19 symptom risk in hospitalized and non-hospitalized COVID-19 survivors: A systematic review and meta-analysis.

Background: Post-acute coronavirus disease 2019 (COVID-19) symptoms occurred in most of the COVID-19 survivors. However, few studies have examined the issue of whether hospitalization results in different post-acute COVID-19 symptom risks. This study aimed to compare potential COVID-19 long-term effects in hospitalized and non-hospitalized COVID-19 survivors. Methods: This study is designed as a systematic review and meta-analysis of observational studies. A systematic search of six databases was performed for identifying articles published from inception until April 20th, 2022, which compared post-acute COVID-19 symptom risk in hospitalized and non-hospitalized COVID-19 survivors using a predesigned search strategy included terms for SARS-CoV-2 (eg, COVID, coronavirus, and 2019-nCoV), post-acute COVID-19 Syndrome (eg, post-COVID, post COVID conditions, chronic COVID symptom, long COVID, long COVID symptom, long-haul COVID, COVID sequelae, convalescence, and persistent COVID symptom), and hospitalization (hospitalized, in hospital, and home-isolated). The present meta-analysis was conducted according to The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement using R software 4.1.3 to create forest plots. Q statistics and the I 2 index were used to evaluate heterogeneity in this meta-analysis. Results: Six observational studies conducted in Spain, Austria, Switzerland, Canada, and the USA involving 419 hospitalized and 742 non-hospitalized COVID-19 survivors were included. The number of COVID-19 survivors in included studies ranged from 63 to 431, and follow-up data were collected through visits in four studies and another two used an electronic questionnaire, visit and telephone, respectively. Significant increase in the risks of long dyspnea (OR = 3.18, 95% CI = 1.90-5.32), anxiety (OR = 3.09, 95% CI = 1.47-6.47), myalgia (OR = 2.33, 95% CI = 1.02-5.33), and hair loss (OR = 2.76, 95% CI = 1.07-7.12) risk were found in hospitalized COVID-19 survivors compared with outpatients. Conversely, persisting ageusia risk was significantly reduced in hospitalized COVID-19 survivors than in non-hospitalized patients. Conclusion: The findings suggested that special attention and patient-centered rehabilitation service based on a needs survey should be provided for hospitalized COVID-19 survivors who experienced high post-acute COVID-19 symptoms risk.