Given the huge increase in remote work that has accompanied the Coronavirus disease (COVID-19) pandemic, understanding predictors of performance and wellbeing among remote workers has never been more timely. Effective communication is commonly cited as key to remote worker success, yet communication variables are rarely incorporated into remote work research. In the present study, we examined the relationship between communication frequency, communication quality, and supervisor-set communication expectations with daily job performance and burnout in an occupationally-diverse sample of employees. We used an experience sampling design and our hypotheses were tested with data collected over a 4-week period with a sample of 471 employees who shifted to full-time remote work due to COVID-19. Results indicated that daily communication quality was associated with daily performance and burnout. In addition, the extent to which supervisors established expectations about communication practices (e.g., expected response times to email) at the onset of the transition to remote work was positively associated with performance, but not burnout. Task interdependence was also tested as a moderator. Task interdependence moderated the relationship between communication quality and performance, such that the relationship was stronger when task interdependence was higher than when it was lower. Task interdependence also moderated the relationship between supervisor-set expectations and performance such that the relationship was stronger when task interdependence was lower than when it was higher. Expected curvilinear relationships between communication frequency and outcomes were not detected. Based on our findings, we provide recommendations for practice and future research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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http://dx.doi.org/10.1037/apl0000970 | DOI Listing |
J Magn Reson Imaging
December 2024
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Background: In arrhythmogenic cardiomyopathy (ACM), left ventricle-dominant presentation has poorer outcomes than right-dominant presentation, suggesting that interventricular functional disparity might play a role in patients' prognosis. However, the prognostic impact of ventricular functional discordance in ACM patients remains unknown.
Purpose: To assess whether ventricular functional disparity measured as ventricular discordance index, defined as the ratio of right-ventricular ejection fraction (RVEF) to left-ventricular ejection fraction (LVEF), might reveal prognostic disparities between phenotypes and offer added risk stratification value.
BMC Nurs
December 2024
Institute of Health and Allied Professions, Nottingham Trent University, Nottingham, UK.
Background: This study was undertaken to understand the role of the Health Care Assistants and how they negotiate roles and responsibilities with Registered Nurses in adult acute hospitals.
Methods: The qualitative approach of focused ethnography used non-participant observation and interviews with staff from four acute wards. Field notes and interview data, analysed using NVIVO10, moved data from description through explanation, interpretation and identification of themes.
Pain Rep
February 2025
Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China.
Introduction: Pain-related decision-making can be influenced by the caregiver and sufferer's demographic factors, such as race and gender, which are commonly considered individually. However, such factors may influence pain assessment interdependently based on caregivers' stereotypical beliefs.
Objectives: This study investigated how sufferers' race and gender affect Chinese observers' evaluations of pain intensity and medication needs and the associations with the observers' race and gender-related stereotypical beliefs.
Sensors (Basel)
November 2024
Graduate School of Information Science, University of Hyogo, Kobe 650-0047, Japan.
Early detection and precise characterization of brain tumors play a crucial role in improving patient outcomes and extending survival rates. Among neuroimaging modalities, magnetic resonance imaging (MRI) is the gold standard for brain tumor diagnostics due to its ability to produce high-contrast images across a variety of sequences, each highlighting distinct tissue characteristics. This study focuses on enabling multimodal MRI sequences to advance the automatic segmentation of low-grade astrocytomas, a challenging task due to their diffuse and irregular growth patterns.
View Article and Find Full Text PDFSensors (Basel)
November 2024
College of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Using low-altitude platform stations (LAPSs) in the agricultural Internet of Things (IoT) enables the efficient and precise monitoring of vast and hard-to-reach areas, thereby enhancing crop management. By integrating edge computing servers into LAPSs, data can be processed directly at the edge in real time, significantly reducing latency and dependency on remote cloud servers. Motivated by these advancements, this paper explores the application of LAPSs and edge computing in the agricultural IoT.
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