Evaluation of the performance of nursing students taught using online and offline learning models in emergency and critical care nursing during the COVID-19 pandemic.

Aim: The study investigated the outcomes of employing this hybrid method among nursing students engaged in emergency and critical care curricula during the COVID-19 pandemic.

Methods: A retrospective study examined nursing students enrolled in the nursing program in China between January 2019 and January 2021. Students were divided into two groups: a study group that engaged in hybrid learning and a control group that participated in traditional classroom learning.

Understanding the Mediating Role of Anxiety and Depression on the Relationship Between Perceived Stress and Sleep Quality Among Health Care Workers in the COVID-19 Response.

Objective: There is an increasing amount of evidence exploring the adverse effects of perceived stress or anxiety and depression independently on sleep quality during the COVID-19 outbreak, although the underlying mechanisms are unclear. The aim of the current study was to explore the role of anxiety and depression as a potential mediator between perceived stress and sleep quality among health care workers.

Methods: Data were collected through an online survey using the snowball sampling method and comprised 588 current health care workers in Zhejiang and Hubei provinces, China, from February to March 2020.

A Prediction Model for Cognitive Impairment Risk in Colorectal Cancer after Chemotherapy Treatment.

Background: A prediction model can be developed to predict the risk of cancer-related cognitive impairment in colorectal cancer patients after chemotherapy.

Methods: A regression analysis was performed on 386 colorectal cancer patients who had undergone chemotherapy. Three prediction models (random forest, logistic regression, and support vector machine models) were constructed using collected clinical and pathological data of the patients.

Current status of and factors influencing anxiety and depression in front-line medical staff supporting Wuhan in containing the novel coronavirus pneumonia epidemic.

Aim: This research aimed to shed light on the relationship between the sociodemographic characteristics of front-line medical workers and their anxiety and depression, to provide the basis and reference for targeted mental health education and for relevant departments to formulate appropriate policies during the COVID-19 outbreak.

Methods: This study adopted a convenient sampling method and examined the psychological status of 150 front-line medical workers from Zhejiang Province with questionnaire surveys using the Hamilton Anxiety and Depression Scale.

Results: The participants had severe anxiety and depression; the top three items under the category of anxiety were genitourinary symptoms, behavior at interview, and respiratory symptoms, whereas the top three items under depression were feelings of guilt, weight loss, and retardation.