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Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation – artificial intelligence (AI) – for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

The purpose of this paper is to provide an analysis of the life of the musician Brian Wilson from five different perspectives.

The authors used a mixed method of collaborative autoethnography, psychobiography and digital team ethnography to try and better understand the life and contributions of Brian Wilson.

Each of the five contributors provides different insights into the life and music of Brian Wilson.

While the focus of this paper is on a single individual, a case study, the long and distinguished life of Brian Wilson provides much material for discussion and theorising.

Each individual presenting to mental health services has a complex biography. The five different contributions articulated in this paper could perhaps be taken as similar to the range of professional opinions seen in mental health teams, with each focusing on unique but overlapping aspects of the person’s story.

This account shows the importance of taking a biological-psychological-social-spiritual and cultural perspective on mental illness.

This multi-layered analysis brings a range of perspectives to bear on the life and achievements of Brian Wilson, from developmental, musical, psychological and lived experience standpoints.

A focus on how visual cultures in domestic spaces influence older migrants' identification with the homeland has been noted in previous research, ¹ yet migrant youth have not typically been the sole subjects of investigation in this regard. This chapter seeks to fill this gap by offering insight into the practices of young Indian women in domestic spaces and how these practices influence their sense of belonging to India. This chapter highlights the practices of young Indian women living in Brisbane, Australia, through an exploration into how the young women recreate their histories and cultural attachments in domestic spaces. The research presented in this chapter illustrates the processes of emotional attachment for young migrants and how these processes demonstrate new ways of practising diaspora, including the use of the internet to learn about their cultural histories. With the use of PhotoVoice, where photographs were retrieved from mobile phones and the internet, the participants discussed their everyday lives relating to their emotional attachments to material objects in domestic spaces and the connection to their identities. This chapter's main argument is to highlight the need for researchers to avoid the tendency to place young migrants into the same diasporic categories as their parents and to recognise the diverse ways in which young migrants actively shape their own cultural attachments.

Online investment platforms offer an environment that may lead some traders into excessive behaviors akin to gambling. Over the last decade, gambling behaviors associated with the stock market have attracted the attention of many researchers but the literature on the subject remains scarce. This study aims to present the results of live interviews with a sample (N = 100) of retail investors trading online, and contrasts trading habits with gambling behaviors.

Participants are divided in three groups according to their score on an adapted version of the Problem Gambling Severity Index (referred to as the PGSI-Trading), and their trading habits and behaviors are compared.

The authors find that traders with higher PGSI-Trading scores are more likely to display gambling-related behaviors such as trading within a short timeframe, being motivated by making money quickly and experiencing high sensations when trading.

The sample is small but the authors proceeded this way in order to gather some qualitative data that would be helpful to clinicians in the Province of Quebec. The questionnaire used to classify traders at risk of being gamblers (PGSI-Trading) has not been validated.

The findings of this study will be helpful to clinicians who hwork with patients suffering from excessive online stock trading habits.

Clinicians observe an increasing number of patients who consult with excessive stock trading habits. This study has brought new information allowing clinicians to better understand how gambling manifests itself on the stock market.

To the authors’ knowledge, this study is the first to investigate the trading habits of individuals classified in terms of their score on an adapted PGSI questionnaire.