Rebecca Mitchell, PhD, is Associate Professor, University of Newcastle, New South Wales, Australia. E-mail: Brendan Boyle, PhD, is Research Academic, University of Newcastle, New South Wales, Australia. Rachael O'Brien, BSLP, is Research Associate, University of Newcastle, New South Wales, Australia. Ashish Malik, PhD, is Research Academic, University of Newcastle, New South Wales, Australia. Karen Tian, PhD, is Research Academic, University of Newcastle, New South Wales, Australia. Vicki Parker, PhD, is Professor of Rural Nursing, University of New England, Armidale, New South Wales, Australia. Michelle Giles, RN, is Clinical Nurse Consultant, Hunter New England Local Health District, New South Wales, Australia. Pauline Joyce, DEd, is Academic Director, Royal College of Surgeons, Dublin, Ireland. Vico Chiang, PhD, is Assistant Professor, Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Published: February 2018
AI Article Synopsis
Article Abstract
Background: Interprofessional health care teams are increasingly utilized in health care organizations. Although there is support for their capacity to solve complex problems, there is also evidence that such teams are not always successful. In an effort to understand the capacity of interprofessional teams to innovate successfully, we investigate the role of cognitive diversity to establish whether and how knowledge differences lead to innovation.
Purposes: The aim of this study was to construct and investigate a model of team innovation predicted by cognitive diversity. In addition to investigating the direct impact of cognitive diversity in interprofessional health care teams, we develop a model incorporating mediated and moderated effects. In this study, we explore the role of debate as a mediating factor capable of explaining the impact of cognitive diversity on innovation. We further propose that the link between cognitive diversity and innovation through debate is contingent upon trans-specialist knowledge, knowledge shared by health care professionals, spanning specialist divides and enabling mutual understanding.
Methodology: The hypotheses were investigated using a cross-sectional, correlational design. Survey data received from 75 interprofessional teams employed in an acute care setting, representing a 36% response rate, were used to investigate our model.
Findings: Analysis supports a significant relationship between cognitive diversity and debate, which is stronger when teams rate highly for trans-specialist knowledge. Results also support a positive relationship between debate and innovation and our full moderated mediated pathway.
Practice Implications: A range of strategies are indicated by our results to increase innovation in interprofessional teams. In particular, interventions such as interprofessional education and training, which have been shown to facilitate the development of shared language and meaning, are recommended by our findings.
Background/aims: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely affects cognitive functions and memory. Early detection is crucial for timely intervention and improved patient outcomes. However, traditional diagnostic tools, such as MRI and PET scans, are costly and less accessible.
Learning new categories is fundamental to cognition, occurring in daily life through various sensory modalities. However, it is not well known how acquiring new categories can modulate the brain networks. Resting-state functional connectivity is an effective method for detecting short-term brain alterations induced by various modality-based learning experiences.
Naive perspective-takers often perceive the social world in a simplistic and uniform way, whereas sophisticated ones recognize the diversity and complexity of others' minds. This commonly accepted distinction points to a possibility of greater inter-individual variability in mentalizing for sophisticated than naive perspective-takers, a difference previously overlooked in research. In the current study, participants were asked to watch a mentalizing-related movie and their neural responses, interpretations of the characters' mental states, and eye-gaze trajectories were recorded.
Background: A central goal of implementation science is to generate insights that allow evidence-based practices to be successfully applied across diverse settings. However, challenges often arise in preserving programs' effectiveness outside the context of their intervention development. We propose that qualitative data can inform generalizability via elucidating mechanisms of an intervention.
