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Young people’s involvement should lead to research, and ultimately services, that better reflect young people’s priorities and concerns. Young people with a history of treatment for alcohol and/or drug problems were actively involved in the youth social behaviour and network therapy study. The purpose of this paper is to explore the impact of that involvement on the study and what was learnt about involving young people in drug and alcohol research.

The initial plan was to form a young people’s advisory group (YPAG), but when this proved problematic the study explored alternative approaches in collaboration with researchers and young people. Input from 17 young people informed all key elements of the study.

Involvement of young people needs to be dynamic and flexible, with sensitivity to their personal experiences. Engagement with services was crucial both in recruiting young people and supporting their ongoing engagement. This research identified a need to critically reflect on the extent to which rhetorics of participation and involvement give rise to effective and meaningful involvement for young service users. It also highlights the need for researchers to be more flexible in response to young people’s personal circumstances, particularly when those young people are “less frequently heard”.

This research highlights the need for researchers to be more flexible in response to young people’s personal circumstances, particularly when those young people are “less frequently heard”. It highlights the danger of young people in drug and alcohol research being unintentionally disaffected from involvement through conventional approaches and instead suggests ways in which young people could be involved in influencing if and how they participate in research.

There is an apparent contradiction between dominant discourses and cultures of health services research (including patient and public involvement) that often do not sit easily with ideas of co-production and young people-centred involvement. This paper provides an alternative approach to involvement of young people that can help to enable more meaningful and effective involvement.

The flexible and young people-centred model for involvement which emerged from this work provides a template for a different approach. This may be particularly useful for those who find current practice, such as YPAG, inaccessible.

Online medical teams (MTs), involving collaboration between remote healthcare workers, can provide comprehensive and rapid healthcare to patients. The growth in MTs is continuing, with popularity growing among doctors and patients, but some MTs disband, which could break the continuity of healthcare services provided. We aim to address this pressing issue by exploring the effects of team diversity and leadership types on team status (i.e. team disbandment (TD)). This paper systematically investigates the influences of team diversity, including separation, variety and disparity diversity and the effects of leadership types, including strong, equal and weak types.

A data set consisting 1,071 online MTs was collected from the Good Doctor website, a leading Chinese online health community (OHC), on January 10, 2018. The data captured included 206 teams which disbanded after 3 months collaboration. Logistic regression and maximum likelihood estimation (MLE) were used to examine their effects.

The results show that variety diversity, related to departments, positively affects TD, but disparity diversity, referring to clinician titles, negatively affects TD. Separation diversity, in terms of team member attitudes, exerts a negligible influence on disbandment. Although strong and equal leadership types negatively influence TD, they are seen to strengthen the positive effect of variety diversity, suggesting stable structure combinations of strong or equal-type leadership and low department diversity, as well as the match of weak-type leadership and high department diversity.

This paper extends the current understanding of virtual teams and OHCs by examining the role of leadership types and team diversity, and their influencing role on team status. The pairwise combinations are obtained to effectively reduce the disbandment probability of medical teams operating in OHCs, which could help platform managers, team founders and those connected with MTs deal with the team-disbandment crisis, providing both theoretical and practical implications to healthcare providers and researchers alike.

Although online reviews have become a key source of information for consumer purchasing decisions, little is known about how the concreteness of language used in these reviews influences perceptions of deception. This study aims to address this important gap by drawing on psycholinguistic research and Language Expectancy Theory to examine how and when the concreteness of online reviews (abstract vs concrete) impacts consumers’ perceived deception.

Two scenario-based experiments were conducted to examine how the concreteness of online reviews (abstract vs concrete) influences consumers’ perceptions of deception, considering the mediating role of psychological distance to online reviews and the moderating effects of Machiavellianism (Mach) and reviewer identity disclosure.

Online reviews that include concrete language lead to lower perceived deception by reducing consumers’ psychological distance from the review. For consumers with higher levels of Mach, online reviews written in abstract (vs concrete) language result in higher perceived deception via psychological distance, while for consumers with lower Mach, online reviews written in concrete (vs abstract) language result in higher perceived deception via psychological distance.

To the best of the authors’ knowledge, this study is one of the first to highlight the relevance of linguistic style (i.e. concrete review vs abstract review) on consumers’ perceived deception toward online reviews in the context of e-commerce.

The framework enables managers of online retailing platforms to identify the most effective strategies to decrease consumers’ perceived deception via the appropriate utilize of linguistic styles of online reviews.

This study contributes to both theory and practice by deepening knowledge of how and when the concreteness of online reviews (abstract vs concrete) affects consumers’ perceived deception and by helping managers of online retailing platforms make the most effective\ strategies for reducing consumers’ perceived deception toward online reviews during online shopping.

This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational offerings up to date and assist graduates to communicate the value of their qualifications.

Using the ESCO taxonomy and natural language processing, this study captures skills data from three types of online data (job ads, course descriptions and resumes), allowing us to compare demand for skills and supply of skills for three different occupations.

This study illustrates three practical applications for the integrated data, showing how they can be used to help workers who are disrupted by technology to identify alternative career pathways, assist educators to identify gaps in their course offerings and support students to communicate the value of their training to employers.

This study builds upon existing applications of machine learning (detecting skills from a single dataset) by using the skills taxonomy to integrate three datasets. This study shows how these complementary, big datasets can be integrated to support greater alignment between the needs and offerings of educators, employers and job seekers.

Although governments have used social media platforms to interact with the public in an attempt to minimize anxiety and provide a forum for public discussion during the pandemic, governments require sufficient crisis communication skills to engage citizens in taking appropriate action effectively. This study aims to examine how the National Health Commission of China (NHCC) has used TikTok, the leading short video–based platform, to facilitate public engagement during COVID-19.

Building upon dual process theories, this study integrates the activation of information exposure, prosocial interaction theory and social sharing of emotion theory to explore how public engagement is related to message sensation value (MSV), media character, content theme and emotional valence. A total of 354 TikTok videos posted by NHCC were collected during the pandemic to explore the determinants of public engagement in crises.

The findings demonstrate that MSV negatively predicts public engagement with government TikTok, but that instructional information increases engagement. The presence of celebrities and health-care professionals negatively affects public engagement with government TikTok accounts. In addition, emotional valence serves a moderating role between MSV, media characters and public engagement.

Government agencies must be fully aware of the different combinations of MSV and emotion use in the video title when releasing crisis-related videos. Government agencies can also leverage media characters – health professionals in particular – to enhance public engagement. Government agencies are encouraged to solicit public demand for the specific content of instructing information through data mining techniques.

The purpose of this paper is to evaluate whether an example of Seclusion Room Contactless Monitoring Technology (VitalGuard^TM) is able to accurately detect the presence of life in a ward seclusion room ensuring patient wellbeing, without interference from background “living noise” (e.g. voices) or “electronic noise” (e.g. other systems).

The authors assessed the system’s ability to monitor movement caused by human respiration through its ability to discriminate false positives (i.e. presence of an inanimate object ± movement or noise, in the absence of a person in the seclusion room) and false negatives (i.e. failure to detect a human presence) in a ward setting.

The system displayed 100 per cent validity in terms of determining false positives (six conditions, each n=5) and the system did not alarm under either of the two false negative conditions tested (each n=5).

These findings demonstrate that this example of technology is able to monitor movement caused by human respiration and can accurately and reliably detect the presence of life in seclusion rooms, in the ward setting, without interference from background noise (living and electronic). This was a small evaluation study and further research on its effectiveness in practice would be beneficial in both the intellectual disability forensic setting and other settings of segregation and isolation.

This study suggests that the use of technology in a seclusion room setting can be used as a reliable tool to enhance patient observations and assist in the delivery of care in a safe and unobtrusive manner.

Under uncertain circumstances, digital technologies are taken as digital transformation enablers and driving forces to integrate with medical, healthcare and emergency management research for effective epidemic prevention and control. This study aims to adapt complex systems in emergency management. Thus, a digital transformation-driven and systematic circulation framework is proposed in this study that can utilize the advantages of digital technologies to generate innovative and systematic governance.

Aiming at adapting complex systems in emergency management, a systematic circulation framework based on the interpretive research is proposed in this study that can utilize the advantages of digital technologies to generate innovative and systematic governance. The framework consists of four phases: (1) analysis of emergency management stages, (2) risk identification in the emergency management stages, (3) digital-enabled response model design for emergency management, and (4) strategy generation for digital emergency governance. A case study in China was illustrated in this study.

This paper examines the role those digital technologies can play in responding to pandemics and outlines a framework based on four phases of digital technologies for pandemic responses. After the phase-by-phase analysis, a digital technology-enabled emergency management framework, titled “Expected digital-enabled emergency management framework (EDEM framework)” was adapted and proposed. Moreover, the social risks of emergency management phases are identified. Then, three strategies for emergency governance and digital governance from the three perspectives, namely “Strengthening weaknesses for emergency response,” “Enhancing integration for collaborative governance,” and “Engaging foundations for emergency management” that the government can adopt them in the future, fight for public health emergency events.

The novel digital transformation-driven systematic circulation framework for public health risk response and governance was proposed. Meanwhile, an “Expected digital-enabled emergency management framework (EDEM model)” was also proposed to achieve a more effective empirical response for public health risk response and governance and contribute to studies about the government facing the COVID-19 pandemic effectively.

The assembly quality of complex products is pivotal to their lifecycle performance. Assembly precision analysis (APA) is an effective method used to check the feasibility and quality of assembly. However, there is still a need for a systematic approach to be developed for APA of kinematic mechanisms. To achieve more accurate analysis of kinematic assembly, this paper aims to propose a precision analysis method based on equivalence of the deviation source.

A unified deviation vector representation model is adopted by considering dimension deviation, geometric deviation, joint clearance and assembly deformation. Then, vector loops and vector equations are constructed, according to joint type and deviation propagation path. A combined method, using deviation accumulation and sensitivity modeling, is applied to solve the kinematic APA of complex products.

When using the presented method, geometric form deviation, joint clearance and assembly deformation are considered selectively during tolerance modeling. In particular, the proposed virtual link model and its orientation angle are developed to determine joint deviation. Finally, vector loops and vector equations are modeled to express deviation accumulation.

The proposed method provides a new means for the APA of complex products, considering joint clearance and assembly deformation while improving the accuracy of APA, as much as possible.

In China, healthcare services have historically been expensive and difficult to access, with resources being unfairly distributed, often being centralized in large hospitals in major cities. In rural regions, hospitals often suffer from limited supplies, including human capital and equipment. E-health technologies have received significant attention from governments and citizens, with online healthcare communities (OHCs) providing easier communication between patients and doctors. Although doctors play a pivotal role in the success of OHCs, they are often unsure how to attract patients, with limited research focusing on this. The purpose of this paper is to explore how doctors can take initiatives in OHCs, from the joint perspectives of individual effort (i.e. intrapersonal factor) and identity in medical teams (MTs) (i.e. interpersonal factor), based on attribution theory.

Hierarchical linear regression was conducted on data from 3,170 doctors participating in 865 online MTs, to examine the effects of individual effort and identity in MTs on individual performance. Individual effort included central effort (log-in frequency to OHC) and peripheral effort (articles published on doctors' homepages). Identity in MTs was represented as the identity of team leader and multiple team membership (MTM).

This study found that the main variables – central and peripheral effort, and leader and MTM identity – all had significant and positive impacts on the service quantity (SQ) of both written and telephone consultations. Although positive effects could be experienced in most conditions that were congruent with the logic of identity theory, the interaction terms demonstrated complex influences. Specifically, leader identity did not moderate the effect of article effort in written consultation, while MTM identity could not moderate the relationship between frequency effort and SQ in telephone-consultation services. Further, the leader identity negatively moderated the relationship between article effort and SQ in telephone consultations. Thus, for doctors with the leader identity, the impact of article effort on SQ was weaker. In summary, both aspects were proved to play important roles in individual SQ.

This study provides empirical findings through focusing on the SQ of both written and telephone consultations in OHCs, thereby enabling healthcare providers to take initiatives and ultimately improve the efficiency and provision of delivered healthcare services. It is worth mentioning that doctors possessing the identity of team leader should be cautious that the more articles published by them may not lead to envisaged telephone-consultation performance, according to the negative moderating effect of leader identity on the relationship between article effort and SQ during telephone consultations.

This study contributes to the OHC literature by investigating how doctors' efforts and identity in OHCs affect individual performance, based on attribution theory and identity theory. Further, we provide healthcare practitioners with an improved understanding of these dimensions to improve autonomy regarding service provision in OHCs.

Blues music is in the midst of its second revival in popularity in roughly thirty years. The year 1960 can be identified, with some qualification, as a reference point for the first rise in international awareness and appreciation of the blues. This first period of wide‐spread white interest in the blues continued until the early seventies, while the current revival began in the middle 1980s. During both periods a sizeable literature on the blues has appeared. This article provides a thumbnail sketch of the popularity of the blues, followed by a description of scholarly and critical literature devoted to the music. Documentary and instructional materials in audio and video formats are also discussed. Recommendations are made for library collections and a list of selected sources is included at the end of the article.