Background: Nursing leadership is recognized as essential to fostering innovation in hospitals, while the precise relationship between them has yet to be established.
Aim: The objective of this study is to examine the association among leadership in nursing research, research motivation, perceived barriers, and innovation behavior of junior nurses who hold a master's degree or above in the hospital.
Methods: A cross-sectional survey was conducted and electronic questionnaires were distributed online.
Background: Nursing leadership by head nurses is critical to enhancing nursing research activity and performance in hospitals but the impact mechanism is unclear.
Aim: To investigate the effect of nursing leadership of head nurses on research burnout, self-efficacy, and performance of highly-educated nurses in the hospital.
Methods: A cross-sectional survey was conducted and electronic questionnaires were distributed online.
Background: Nursing students often make clinical errors due to their limited clinical experience and their orientation toward errors, revealing their attitude and behavioral tendencies regarding nursing errors. Understanding how self-efficacy, motivation, and a sense of security influence the error orientation of nursing students is important for developing strategies to enhance their error orientation.
Objectives: This study aimed to explore the relationship between self-efficacy, motivation, and error orientation of nursing students during clinical internships.
Background: There are an increasing number of evidence-based recommendations for managing dysphagia in post-stroke patients. However, it is unclear whether nurses adopt these recommendations in their daily nursing practices.
Aims: This study aimed to explore nurses' adherence, barriers, facilitators and views on dysphagia screening and assessment of post-stroke dysphagia.
Aim: To develop a Head Nurse Research Leadership Scale and evaluate its reliability and validity.
Design: A psychometric instrument validation study was conducted in two phases.
Methods: The item tool was generated based on a literature review, semi-structured interview and brainstorming.
Our research aims to assess the performance of a new generation of consumer activity trackers (Fitbit Charge 4TM: FBC) to measure sleep variables and sleep stage classifications in patients with chronic insomnia, compared to polysomnography (PSG) and a widely used actigraph (Actiwatch Spectrum Pro: AWS). We recruited 37 participants, all diagnosed with chronic insomnia disorder, for one night of sleep monitoring in a sleep laboratory using PSG, AWS, and FBC. Epoch-by-epoch analysis along with Bland-Altman plots was used to evaluate FBC and AWS against PSG for sleep-wake detection and sleep variables: total sleep time (TST), sleep efficiency (SE), waking after sleep onset (WASO), and sleep onset latency (SOL).
View Article and Find Full Text PDFIntravenous thrombolysis is the preferred treatment modality for acute ischemic stroke. In China, written informed consent from patients or proxies must be obtained before intravenous thrombolysis is performed, which always leads to in-hospital delay of thrombolysis. To explore the relationship between characteristics of thrombolysis decision-making and psychological states of proxies of AIS patients.
View Article and Find Full Text PDFPurpose: To identify latent classes of acute stroke patients with distinct experiences with the symptom clusters of depression, anxiety, fatigue, sleep disturbance, and pain symptoms and assess, if the selected variables determine a symptom-cluster experience in acute stroke patients.
Participants And Methods: A sample of 690 participants were collected from July 2020 to December 2020 in a cross-sectional descriptive study. Latent class analysis was conducted to distinguish different clusters of acute stroke participants who experienced five patient-reported symptoms.
Background And Aims: Endoscopy is a pivotal method for detecting early gastric cancer (EGC). However, skill among endoscopists varies greatly. Here, we proposed a deep learning-based system named ENDOANGEL-ME to diagnose EGC in magnifying image-enhanced endoscopy (M-IEE).
View Article and Find Full Text PDFBackground And Aims: White-light endoscopy (WLE) is the most pivotal tool to detect gastric cancer in an early stage. However, the skill among endoscopists varies greatly. Here, we aim to develop a deep learning-based system named ENDOANGEL-LD (lesion detection) to assist in detecting all focal gastric lesions and predicting neoplasms by WLE.
View Article and Find Full Text PDFBreast cancer (BC) is a frequently diagnosed malignancy in women. Increasing evidence implicates mis-expression of the long non-coding RNA (lncRNA) RHPN1 antisense RNA 1 (RHPN1-AS1) in the development of multiple cancer types. However, little is known about the expression pattern and function of lncRNA RHPN1-AS1 in the pathobiology of BC.
View Article and Find Full Text PDFBackground: It has been reported that stroke has a higher incidence and mortality rate in the People's Republic of China compared to the global average. These conditions can be managed by proper medication use, but ensuring medication adherence is challenging.
Objective: To translate the Self-Efficacy for Appropriate Medication Use Scale into Chinese and test its validity and reliability in patients with stroke.