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The Food Systems Leadership Institute (FSLI) is a 2-year leadership development program consisting of 3 intensive in-person immersion retreats, and a robust and customizable distance-based program. Participants come primarily from land-grant and public universities and learn about personal, organizational and system leadership with a focus on food systems as an organizing theme. For this study, program graduates from FSLI Cohorts 4-6 (n=60) were asked to complete an online retrospective pre- and post-test of skill competency and skill use for 20 competencies addressed in the program, with 47 (78%) completing the survey. Data indicate participants’ ratings of skill competency increased significantly across all 20 targeted areas.Participants further noted that they used these skills more after completing the program as compared to prior to the Fellowship training. Data suggest the FSLI model of leadership development can have a significant impact on participants’ perceived skill level in and use of important skills in both personal and organizational leadership in academic and food system settings.

Launched in 2005, the Food Systems Leadership Institute (FSLI) is a 2-year leadership development program primarily focused on academic leaders. As of spring 2020, FSLI has enrolled 15 Cohorts, training a total of 347 Fellows. In 2020, a review of the graduated cohorts was undertaken to understand both the range of institutions served by FSLI and the career trajectory of the 319 graduated Fellows who participated in Cohorts 1-14. A total of 78 different organizations have enrolled FSLI participants, including 79% of the 1862 Land Grant Universities, 68% of the 1890 Land Grant Universities, and 12% of the 1994 Institutions, in addition to fewer participants from non-Land Grant public universities, government institutions, industry, and institutions located outside of the U.S. FSLI has served participants from 84% of the US and Territories. The review showed that 46% of Fellows in Cohorts 1-14 advanced into higher positions of academic administration and they filled 169 new hierarchical positions, including college-level, university-level and system-level administration positions in higher education. Similar trajectories were found in industry-organizations, although in smaller numbers. In all, 470 administrative and leadership positions have been filled in these organizations by the 319 members of the cohorts reviewed. While career progression is a limited measure of leadership success, this brief review supports the hypothesis that participation in the FSLI program contributes to the careers of the enrolled participants.

The issue of mental health literacy has been widely studied in developed countries, with few studies conducted in Arab countries. In this study we aimed to investigate mental health literacy and attitudes towards psychiatric patients among students of Jazan University, Kingdom of Saudi Arabia. A cross-sectional study was conducted among undergraduate students using a validated Arabic-version questionnaire. A total of 557 students were recruited from different Jazan university colleges. The majority of students (90.3%) have intermediate mental health literacy. Regarding the etiology of mental illness, students agreed that genetic inheritance (45.8%), poor quality of life (65%) and social relationship weakness (73.1%) are the main causes of mental illness. The majority thought that mentally ill people are not capable of true friendships (52.5%) and that anyone can suffer from a mental illness (49.4%). Students' attitudes towards psychiatric patients were mixed, with 68.7% reporting that they could maintain a friendship with a mentally ill person and that people with mental illness should have the same rights as anyone else (82.5%). Mental health literacy among university students was intermediate. There is an urgent need for health educational programs to change the attitudes of students regarding this important health issue.

The study examined the utilisation patterns of healthcare services among tea garden workers and analysed the factors influencing utilisation in an Indian context.

The authors employed a mixed-method approach and an explanatory sequential design for the study. A survey was conducted in the beginning followed by in-depth interviews in a north-eastern state of India (Assam). Andersen health behaviour model was used to explore the factors influencing healthcare utilisation. The sample size for the survey and in-depth interviews were 300 and 19, respectively, recruited employing multistage random and purposive sampling techniques.

Out of 300 workers surveyed, 169 (56.3%) were females, 257 (85.7%) were married, 77 (25.7%) were illiterates and 229 (76.3%) had monthly household income less than 100 US$. The survey also found that 47.3% and 15.3% had non-communicable and communicable disease respectively. Most of the workers (67.3%) utilised government facilities, and close to one third (28.7%) utilised tea garden hospitals. About 63.3% had health insurance, but a majority (78.9%) did not use it previously. The analyses of interviews explored the need, enabling, predisposing factors under three important themes influencing utilisation of healthcare services among the workers.

The study generates evidence to strengthen the Indian Plantation Labour Act, 1951 for tea garden worker's welfare protection and warrants transition from colonial-era policies to contemporary industry realities in order to improve their living, employment, nutritional and health conditions.

The research adds to the existing literature on overall healthcare services utilisation (including coverage and utilisation of health insurance) among blue collar workers who usually lack access to healthcare facilities and explores important factors that determine utilisation in the Indian context.

The goal of this study is to test the real-world use of an emotion recognition system.

The researchers chose an existing algorithm that displayed high accuracy and speed. Four emotions: happy, sadness, anger and surprise, are used from six of the universal emotions, associated by their own mood markers. The mood-matrix interface is then coded as a web application. Four guidance counselors and 10 students participated in the testing of the mood-matrix. Guidance counselors answered the technology acceptance model (TAM) to assess its usefulness, and the students answered the general comfort questionnaire (GCQ) to assess their comfort levels.

Results from TAM found that the mood-matrix has significant use for the guidance counselors and the GCQ finds that the students were comfortable during testing.

No study yet has tested an emotion recognition system applied to counseling or any mental health or psychological transactions.

Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?

The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.

The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.

The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.

Value creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind this change. This article aims to study the process of start-ups' value creation within healthcare.

A multiple case study method and a business model design approach were used to study nine European start-ups developing AI healthcare solutions. Obtained information was performed using within and cross-case analysis.

Three unique design elements were established, with 16 unique frames and three unifying design themes based on business models for AI healthcare start-ups.

Our in-depth framework focuses on the features of AI start-up business models in the healthcare industry. We contribute to the business model and business model innovation by systematically analyzing value creation, how it is delivered to customers, and communication with market participants, as well as design themes that combine start-ups and categorize them by specialization.

The purpose of this paper is to determine whether some aspects of the distinctive Mayo Clinic care model could be translated into English National Health Service (NHS) hospital settings, to overcome the fragmented and episodic nature of non-emergency patient care.

The authors used a rapid review to assess the literature on integrated clinical care in hospital settings and critical analysis of links between Mayo Clinic’s care model and the organisation’s performance and associated patient outcomes.

The literature directly concerned with Mayo Clinic’s distinctive ethos and approach to patient care is limited in scope and largely confined to “grey” sources or to authors and institutions with links to Mayo Clinic. The authors found only two peer-reviewed articles which offer critical analysis of the contribution of the Mayo model to the performance of the organisation.

Mayo Clinic is not the only organisation to practice integrated, in-hospital clinical care; however, it is widely regarded as an exemplar.

There are barriers to implementing a Mayo-style model in English NHS hospitals, but they are not insurmountable and could lead to much better coordination of care for some patients.

The study shows that there is an appetite among NHS patients and staff for better coordinated, multi-specialty care within NHS hospitals.

In the English NHS integrated care generally aims to improve coordination between primary, community and secondary care, but problems remain of fragmented care for non-emergency hospital patients. Use of a Mayo-type care model, within hospital settings, could offer significant benefits to this patient group, particularly for multi-morbid patients.

In Canada, integrated care pilot projects are often implemented as a local reform strategy to improve the quality of patient care and system efficiencies. In the qualitative study reported here, the authors explored the experiences of healthcare professionals when first implementing integrated care pilot projects, bringing together physical and mental health services, in a community hospital setting.

Engaging a qualitative descriptive study design, semi-structured interviews were conducted with 24 healthcare professionals who discussed their experiences with implementing three integrated care pilot projects one year following project launch. The thematic analysis captured early implementation issues and was informed by an institutional logics framework.

Three themes highlight disruptions to established logics reported by healthcare professionals during the early implementation phase: (1) integrated care practices increased workload and impacted clinical workflows; (2) integrating mental and physical health services altered patient and healthcare provider relationships; and (3) the introduction of integrated care practices disrupted healthcare team relations.

Study findings highlight the importance of considering existing logics in healthcare settings when planning integrated care initiatives. While integrated care pilot projects can contribute to organizational, team and individual practice changes, the priorities of healthcare stakeholders, relational work required and limited project resources can create significant implementation barriers.

How to improve healthcare for the ageing population is attracting academia attention. Emerging technologies (i.e. robots and intelligent agents) look relevant. This paper aims to analyze the role of cognitive assistants as boundary objects in value co-creation practices. We include the perceptions of the main actors – patients, (in)formal caregivers, healthcare professionals – for a fuller network perspective to understand the potential overlap between boundary work and value co-creation practices.

We adopted a grounded approach to gain a contextual understanding design to effectively interpret context and meanings related to human–robot interactions. The study context concerns 21 health solutions that had embedded the Watson cognitive platform and its adoption by the youngest cohort (50–64-year-olds) of the ageing population.

The cognitive assistant acts as a boundary object by bridging actors, resources and activities. It enacts the boundary work of actors (both ageing and professional, caregivers, families) consisting of four main actions (automated dialoguing, augmented sharing, connected learning and multilayered trusting) that elicit two ageing value co-creation practices: empowering ageing actors in medical care and engaging ageing actors in a healthy lifestyle.

We frame the role of cognitive assistants as boundary objects enabling the boundary work of ageing actors for value co-creation. A cognitive assistant is an “object of activity” that mediates in actors' boundary work by offering novel resource interfaces and widening resource access and resourceness. The boundary work of ageing actors lies in a smarter resource integration that yields broader applications for augmented agency.