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This commentary explores the challenges and themes enumerated by the associated article “Why am I still in hospital? Evaluation of delayed discharges from two learning disability assessment and treatment units in England”. This commentary broadens and outlines the research’s background, premise and potential impact. This paper aims to critically examine the evidence on this subject.

This commentary considers the attitudes to inpatient care for people with learning disabilities in the past decade and outlines a possible compact for the future.

Contrary to popular and emotive beliefs that using specialist inpatient psychiatric settings for people with learning disabilities is universally a poor practice, there are defined occasions when such settings are needed and imperative in the clinical pathway. If people with learning disabilities can access inpatient settings at the right time for the right reason, psychiatric outcomes could be improved. Timely discharge is imperative and currently lacking due to a lack of suitable engagement mechanisms between inpatient settings and the community. Thus, evidence-based outcome tools are essential to facilitate appropriate discharge.

There is an ongoing debate on the value and utility of specialist inpatient psychiatric units for people with learning disabilities. This commentary provides a balanced, evidence-based insight into this discussion.

There is increasing emphasis on caring for people with intellectual disabilities in the least restrictive, ideally community settings. Therefore, the purpose of this paper is to explore the risk factors considered by clinicians involved in discharging people from secure services.

The views of five senior clinicians were sought in semi structured interviews. Data were analysed thematically.

Themes related to risk assessment, risk management, and multidisciplinary and multiagency working. Illustrative quotes are used to evidence themes.

This study described the risk assessment and management factors considered during the discharge of patients from secure to community services, which are of direct relevance to multiple stakeholders post-Winterbourne.

Challenges when facilitating discharge were highlighted, such as ongoing risk management issues, or unexpected discharge from tribunals, and how these were addressed, via the development of extensive risk assessment and management processes, and interdisciplinary and interagency working.

Clinical risks can be contained through risk management initiatives, and can also be used to demonstrate effective clinical governance. The purpose of this paper is to outline a new risk assessment tool that monitors the risk factors of sudden unexpected death in epilepsy (SUDEP).

A systematic review of the literature was undertaken to determine the contributory risk factors of SUDEP. A total of 18 factors were identified, of which 11 were modifiable and therefore have the potential to influence the risk of SUDEP.

The factors identified from the literature review have been populated into a Microsoft Excel® spreadsheet with drop-down boxes for the responses to each factor. No attempt has been made to rank these risk factors. Neuropsychiatrists piloting the tool in clinical practice have found the tool simple and quick to use. A printout of the checklist is placed in the patient's medical notes as evidence. Where an overall SUDEP risk rating is increasing, the clinical team can intervene to mitigate the risks.

The checklist brings together factors identified in a systematic review of the literature in order to inform clinical practice in mental health. In parallel with using the checklist in practice, a broader team is undertaking an explorative retrospective case-control research study to determine whether it is possible to rank the risk factors; this will inform a more sophisticated risk assessment tool.

The transition from centralized thermal power plants to distributed renewable energy sources complicates the balance between power supply and load demand in electrical networks. Energy storage systems (ESS) offer a viable solution to this challenge. This research aims to analyze the factors influencing the implementation of ESS in the Indian smart grid.

To analyze the factors affecting ESS deployment in the grid, the SAP-LAP framework (situation-actor-process and learning-action-performance) integrated with e-IRP (efficient-interpretive ranking process) was used. The variables of SAP-LAP elements were selected from expert opinion and a literature review. Here, e-IRP was utilized to prioritize elements of SAP-LAP (actors in terms of processes and actions in terms of performance).

This analysis prioritized five stakeholders in the Indian power industry for energy storage implementation: government agencies/policymakers, ESS technology developers/manufacturers, private players, research and development/academic institutions, and contractors. Furthermore, the study prioritized the necessary actions that these stakeholders must take.

The study’s findings help identify actors and manage different actions in implementing grid energy storage integration. Ranking these variables would help develop a strategic roadmap for ESS deployment and decisions about adopting new concepts.

It is one of the first attempts to analyze factors influencing ESS implementation in the power grid. Here, qualitative and quantitative methodologies are used to identify and prioritize various aspects of ESS implementation. As a result, the stakeholder can grasp the concept much more quickly.

Companies are adopting innovative methods for responsiveness and efficiency in the public transport sector. The implementation of air-taxi services (ATS) in the transport sector is a move in this direction. Air taxis have a two-pronged advantage as they can reduce travel times by avoiding traffic congestion and have the potential to reduce carbon footprint compared to traditional modes of public transportation. Many companies worldwide are developing and testing ATS for practical applications. However, many factors may play a significant role in adopting ATS in the transport sector. This paper attempts to unearth such critical success factors (CSFs) and establish the interrelationships between these factors.

Fifteen CSFs were identified by systematically reviewing the literature and taking experts' input. An integrated multi-criteria decision-making (MCDM) technique, Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (DEMATEL-ANP [DANP]) was used to envisage the causal relationships between the identified CSF.

The results reveal that Govt Regulations (GOR), Skilled Workforce (SKF) and Conductive Research Environment (CRE) are the most influential factors that impact the adoption of ATS in the transport sector.

The research implications of these findings will help practitioners and policymakers effectively implement ATS in the public transportation sector.

This is the first kind of study that identifies and explores the different CSFs for ATS implementation in public transportation. The CSFs are evaluated with the help of a framework built with inputs from logistics experts. The study recognizes the CSFs for ATS implementation and provides a foundation for future research and smooth adoption of ATS.

Rapid innovation and developments in personal electronic technology have encouraged users to change users' devices more frequently than ever, which has resulted in creating a massive increase in the amount of electronic waste. The study focuses on identifying the barriers to closed-loop supply chain (CLSC) in the electronic industry.

A framework for analyzing the relationships among CLSC adoption barriers is designed. The authors adopted the decision-making trial and evaluation laboratory (DEMATEL) technique to determine the critical barriers of electronic CLSC from the opinion of experts in the field.

The outcome from the analysis suggests that cost barriers, financial barrier, process barriers and supplier-side barriers are the main causal factors that prevent the adoption and implementation of e-waste CLSC. The causal relationship indicates that financial barrier is the most influential factor, while phycological barrier is the most flexible barrier to the adoption of e-waste CLSC.

This study is restricted to CLSC adoption barriers in the electronic industry by evaluating 36 sub-barriers grouped into 8 main dimensions related to different members of the supply chain.

Closed-loop adoption barriers have been proposed to understand the crucial barriers to implementation of CLSC in the electronic industry. The cause-and-effect relationship indicates the critical factors to be improved to increase adoption of e-waste CLSC, helping managers and regulatory bodies to mitigate the problem areas.

This study contributes to the literature on CLSC by adopting a multi-criteria decision-making (MCDM) technique which captures the critical barriers of e-waste CLSC adoption in Indian scenario.

The purpose of the paper is to investigate the relationship between empowering leadership and the innovative work behavior of employees. Utilizing a moderated mediation mechanism, the study additionally uncovers the mediating impact of knowledge sharing and the moderating influence of role clarity in the proposed model.

Cross-sectional design was used in the study, and developed questionnaires were administered to 235 supervisor-subordinates dyads working in Indian organizations to test the proposed relationships. SPSS 20 and AMOS 20 were used for statistical analysis.

The hypothesized moderated mediation model was supported. Knowledge sharing mediated the relationship between empowering leadership and innovative work behavior. The moderating impact of role clarity between empowering leadership and knowledge sharing was supported. It was also observed that stronger role clarity strengthened the indirect relationship between empowering leadership and innovative work behavior. Overall, the study shows that empowering leaders creates a cultivating climate for innovative work behavior by encouraging knowledge sharing among the members subject to clear identification of employee roles.

Cross-sectional design of the study limits the authors from drawing definitive generalizations. Self-reported measures used in the study increase the chances of bias.

Findings of the study can be utilized by leaders for promoting innovative work behavior in the organization, which has been identified as a key to organizational growth and development.

The study attempts to address the under developed relationship between empowering leadership and innovative work behavior.

The cold chain has become an integral part of the supply chain of perishable items. Recent studies have shown a critical absence of a strong and dependable cold chain in developing economies. The purpose of this paper is to set out to identify and inter‐relate the inhibitors that significantly influence the efficiency of a cold chain in developing economies like India.

The synthesis and prioritization of inhibitors are done on the basis of an extensive literature review as well as consultation with academicians and industrial professionals. Using semi‐structured interviews and Fuzzy Interpretive Structure Modeling (FISM) approach, the research presents a hierarchy‐based model.

The end result is a model that establishes the relationships among the identified inhibitors with their respective dominance. The research shows that there exists a group of inhibitors having a high driving power and low dependence with strategic importance and requiring maximum attention and another group includes inhibitors that have high dependence and the consequential actions.

At the time when cold chain is the key domain for the food sector, these findings will be immensely helpful for industry professionals, Government, non‐government, academia and the community in developing strategies and impounding the root causes responsible for the inefficient and weak cold chain in India. The Indian situation echoes to the situation in most of the developing economies and similar solutions can apply there also. These findings will be truly useful for organizations that are planning to operate food chains in developing nations.

Presentation of inhibitors in hierarchy and their classification into driver and dependent categories with their respective dominance on the system is a unique effort in the area of cold chain management. This would help decision makers to better utilize the limited resources.

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.

Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.

The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.

The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.