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Article
Publication date: 21 March 2023

Ulrika Karlsson Stigsdotter, Gaochao Zhang, Marie Christoffersen Gramkow and Ulrik Sidenius

The point of departure for this viewpoint paper is the current development in which landscape architects are working towards achieving the United Nations sustainable development…

Abstract

Purpose

The point of departure for this viewpoint paper is the current development in which landscape architects are working towards achieving the United Nations sustainable development goals and the associated cross-cutting pledge “Leave No One Behind”. The sustainable development goals 3 and 11 can be achieved through landscape projects that are inclusive and health promoting, and the authors argue that an evidence-based design process is needed to ensure that project designs deliver what they promise. However, most landscape architects are not trained in evidence-based design and are therefore unsure of what can be used as evidence. A further challenge is the lack of relevant and applicable research evidence for design processes.

Design/methodology/approach

The authors present a process model for evidence-based health design in landscape architecture as an overall framework on which the authors base their arguments. The model includes four topics of evidence: target group, human health, environment and use of nature. For each topic, the authors present their view on what may be considered as evidence and where it can be found or generated. The study view is supported by a detailed presentation of where and how evidence was found and generated in a design project for an accessible and health-promoting forest trail for people with mobility disabilities.

Findings

The authors suggest a broad definition of evidence, and that the design process should draw on evidence from relevant research and practice disciplines. Evidence can be found in multiple sources, for example, scientific articles, theoretical works and design guidelines. It can also be generated by landscape architects themselves, for example, through landscape analyses and stakeholder workshops. The evidence should guide and support the landscape architect and not dictate the design process.

Practical implications

The authors hope that the knowledge provided on the evidence-based health design process and on where to collect or how to generate evidence may inspire landscape architects in their future health design projects.

Originality/value

People with mobility disabilities face many health challenges and should potentially be able to benefit from visiting green spaces. The authors hope that the knowledge provided on the evidence-based health design process and on where to collect or how to generate evidence may inspire landscape architects in their future health design projects.

Details

Archnet-IJAR: International Journal of Architectural Research, vol. 18 no. 1
Type: Research Article
ISSN: 2631-6862

Keywords

Article
Publication date: 24 January 2023

Hossein Motahari-Nezhad

No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the…

Abstract

Purpose

No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the impact of various factors on publication bias in meta-analyses.

Design/methodology/approach

An electronic questionnaire was created according to some factors extracted from the Cochrane Handbook and AMSTAR-2 tool to identify factors affecting publication bias. Twelve experts were consulted to determine their opinion on the importance of each factor. Each component was evaluated based on its content validity ratio (CVR). In total, 616 meta-analyses comprising 1893 outcomes from PubMed that assessed the presence of publication bias in their reported outcomes were randomly selected to extract their data. The multilayer perceptron (MLP) technique was used in IBM SPSS Modeler 18.0 to construct a prediction model. 70, 15 and 15% of the data were used for the model's training, testing and validation partitions.

Findings

There was a publication bias in 968 (51.14%) outcomes. The established model had an accuracy rate of 86.1%, and all pre-selected nine variables were included in the model. The results showed that the number of databases searched was the most important predictive variable (0.26), followed by the number of searches in the grey literature (0.24), search in Medline (0.17) and advanced search with numerous operators (0.13).

Practical implications

The results of this study can help clinical researchers minimize publication bias in their studies, leading to improved evidence-based medicine.

Originality/value

To the best of the author’s knowledge, this is the first study to model publication bias using machine learning.

Details

Aslib Journal of Information Management, vol. 76 no. 2
Type: Research Article
ISSN: 2050-3806

Keywords

Open Access
Article
Publication date: 12 January 2024

B.S. Patil and M.R. Suji Raga Priya

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components…

1035

Abstract

Purpose

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components. Data analytics, HRM and strategic business require empirical investigations and how to over come HR data analytics implementation issues.

Design/methodology/approach

A semi-systematic methodology for its evaluation allows for a more complete examination of the literature that emerges theoretical framework and a structured survey questionnaire for quantitative data collection from IT sector personnel. SPSS analyses data.

Findings

Future research is essential for organisations to exploit HR data analytics’ performance-enhancing potential. Data analytics should complement human judgment, not replace it. This paper details these transitions, the important contributions to theory and practice and future research.

Research limitations/implications

Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. HR data analytics may improve strategic business. HR data analytics on employee retention, engagement and organisational success is insufficient. HR data analytics may boost performance, but there is limited proof. The authors do not know how HRM data analytics influences firms and employees.

Originality/value

Data analytics offers HRM new opportunities, along with technical and ethical challenges. This study makes a significant contribution to HR data analytics, evidence-based practice and strategic business literature. In addition to estimating turnover risk, identifying engagement factors and planning interventions to increase retention and engagement, HR data analytics can also estimate the risk of employee attrition.

Details

Vilakshan - XIMB Journal of Management, vol. 21 no. 1
Type: Research Article
ISSN: 0973-1954

Keywords

Article
Publication date: 19 February 2024

Neema Trivedi-Bateman and Victoria Gadd

The study aims to introduce The Compass Project (TCP), designed to determine whether strengthening morality and practicing emotion management can reduce youth antisocial attitudes…

Abstract

Purpose

The study aims to introduce The Compass Project (TCP), designed to determine whether strengthening morality and practicing emotion management can reduce youth antisocial attitudes and behaviours and increase prosocial attitudes and behaviours.The programme activities are informed by the existing evidence base and incorporate theoretical explanations of the mechanisms that link psychological moral and emotional traits and behaviour.

Design/methodology/approach

This paper will offer a description of the programme design and content, TCP 2022 pilot study and crucially, discuss the utility of delivering programmes like TCP in wider settings (schools, youth offending teams and other youth organisations). TCP is currently being delivered in UK schools as a multi-site, longitudinal, RCT design.

Findings

Participant feedback from TCP 2022 pilot study is used to illustrate the potential impact of TCP for young people in future. The authors identify five challenges faced by researchers conducting youth intervention studies: access, recruitment, continued attendance, nature of participation (enthusiasm, engagement and task-focus) and full participant completion of data measures.

Practical implications

This pioneering study offers a novel methodology to increase law-abiding moral attitudes and behaviours in young people. This paper adopts a forward-thinking and scientific approach to identify practical solutions to key challenges faced when delivering youth interventions and is relevant for youth practitioners and academics worldwide.

Social implications

TCP seeks to achieve improved youth attitudinal outcomes (such as law-aligned morality, empathy for others, measured decision-making and consideration of the consequences of action) and improved youth behavioural outcomes (such as improved quality of relationships with others, increased helping and prosocial behaviours, reduced antisocial behaviour and delinquency and reduced contact with criminal justice system-related organisations).

Originality/value

To the best of the authors’ knowledge, an evidence-based morality strengthening and emotion programme of this kind, closely aligned with a moral theory of rule-breaking, has not been developed before.

Details

Journal of Criminological Research, Policy and Practice, vol. 10 no. 1
Type: Research Article
ISSN: 2056-3841

Keywords

Article
Publication date: 25 December 2023

Russell Ashmore

The purpose of this paper is to report on the use and content of written guidance produced by mental health services in England and Wales describing hospital leave for informally…

Abstract

Purpose

The purpose of this paper is to report on the use and content of written guidance produced by mental health services in England and Wales describing hospital leave for informally admitted patients.

Design/methodology/approach

Guidance on leave was requested from National Health Service (NHS) mental health trusts in England and health boards in Wales (n = 61) using a Freedom of Information submission. Data were analysed using content analysis.

Findings

In total, 32 organisations had a leave policy for informal patients. Policies varied considerably in content and quality. The content of policies was not supported by research evidence. Organisations appeared to have developed their policies by either adapting or copying the guidance on section 17 leave outlined in the Mental Health Act Codes of Practice for England and Wales (Department of Health, 2016; Welsh Government, 2016). Definitions of important terms, for example, leave and hospital premises, were either absent or poorly defined. Finally, some organisations appeared to be operating pseudo-legal coercive contracts to prevent informal patients from leaving hospital wards.

Research limitations/implications

Research should be undertaken to explore the impact of local policies on the informal patient’s right to life and liberty.

Practical implications

All NHS organisations need to develop an evidence-based policy to facilitate the informal patient’s right to take leave. A set of national standards that organisations are required to comply with would help to standardise the content of leave policies.

Originality/value

To the best of the author’s knowledge, this is the first study to examine the use and content of local policies describing how informal patients can take leave from hospital.

Details

Mental Health Review Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1361-9322

Keywords

Article
Publication date: 13 November 2023

Tiina Kasuk and Sirje Virkus

This study aims to enhance the understanding of the current research landscape regarding the utilisation of telepresence robots (TPRs) in education.

Abstract

Purpose

This study aims to enhance the understanding of the current research landscape regarding the utilisation of telepresence robots (TPRs) in education.

Design/methodology/approach

The bibliometric and thematic analysis of research publications on TPRs was conducted using papers in the Scopus database up to 2023. The final analysis focused on 53 papers that adhered to the selection criteria. A qualitative analysis was performed on this set of papers.

Findings

The analysis found a rising trend in TPR publications, mostly from the USA as conference papers and journal articles. However, these publications lacked technology integration frameworks, acceptance models and specific learning design models. TPRs have proven effective in various learning environments, fostering accessible education, better communication, engagement and social presence. TPRs can bridge geographical gaps, facilitate knowledge sharing and promote collaboration. Obstacles to implementation include technical, physical, social and emotional challenges. Publications were grouped into four thematic categories: didactic methods of using TPRs, TPRs for educational inclusivity, TPR as a teacher mediator and challenges in using TPRs. Despite the significant potential of TPRs, their broader adoption in education is still facing challenges.

Research limitations/implications

This research solely analysed research papers in the Scopus database, limiting TPR publications with the keywords “telepresence robots”, “learning”, “teaching” and “education”, excluding studies with different other keywords.

Originality/value

This study enhances understanding of TPR research in education, highlighting its pedagogical implications. It identifies a gap in the inclusion of technology integration frameworks, acceptance models and learning design models, indicating a need for further research and development.

Details

Information and Learning Sciences, vol. 125 no. 1/2
Type: Research Article
ISSN: 2398-5348

Keywords

Open Access
Article
Publication date: 18 December 2023

Francesca Ferrè

Value-based healthcare suggested using patient-reported information to complement the information available in the medical records and administrative healthcare data to provide…

Abstract

Purpose

Value-based healthcare suggested using patient-reported information to complement the information available in the medical records and administrative healthcare data to provide insights into patients' perceptions of satisfaction, experience and self-reported outcomes. However, little attention has been devoted to questions about factors fostering the use of patient-reported information to create value at the system level.

Design/methodology/approach

Action research design is carried out to elicit possible triggers using the case of patient-reported experience and outcome data for breast cancer women along their clinical pathway in the clinical breast network of Tuscany (Italy).

Findings

The case shows that communication and engagement of multi-stakeholder representation are needed for making information actionable in a multi-level, multispecialty care pathway organized in a clinical network; moreover, political and managerial support from higher level governance is a stimulus for legitimizing the use for quality improvement. At the organizational level, an external facilitator disclosing and discussing real-world uses of collected data is a trigger to link measures to action. Also, clinical champion(s) and clear goals are key success factors. Nonetheless, resource munificent and dedicated information support tools together with education and learning routines are enabling factors.

Originality/value

Current literature focuses on key factors that impact performance information use often considering unidimensional performance and internal sources of information. The use of patient/user-reported information is not yet well-studied especially in supporting quality improvement in multi-stakeholder governance. The work appears relevant for the implications it carries, especially for policymakers and public sector managers when confronting the gap in patient-reported measures for quality improvement.

Details

The TQM Journal, vol. 36 no. 9
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 27 March 2024

Sunil Kumar Yadav, Shiwangi Singh and Santosh Kumar Prusty

Business models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within…

Abstract

Purpose

Business models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within the healthcare sector and investigates their evolution in emerging economies (EEs) and developed economies (DEs). This study aims to uncover these two contexts' shared characteristics and unique variances through a comparative analysis.

Design/methodology/approach

The paper systematically investigates and consolidates the literature on healthcare by employing the antecedents, decisions and outcomes (ADO) framework and finally examines 71 shortlisted articles published between 2003 and 2022.

Findings

The recognition of the BM within healthcare is increasing, both in EEs and DEs. EEs prioritize value creation and capture through cost efficiency, while DEs focus on innovation. Key theories employed include a resource-based view, the network theory and the theory of innovation. Case studies are commonly used as a methodology. Further research is needed to explore the decisions and outcomes of BMs.

Research limitations/implications

The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

Practical implications

Beyond comparing and highlighting gaps in BMs between EEs and DEs, benchmarking DE's healthcare business models (HBMs) helps healthcare organizations in EEs align their practices, mitigate risks and establish efficient healthcare systems tailored to their specific contexts. The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

Originality/value

The study analyzes HBMs using an SLR framework perspective and provides practical implications for academicians and practitioners to enhance their decision-making.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

1 – 10 of 156