Search results

The metaverse offers great potential for creating a new educational environment with unique experiences. Currently, it has been integrated into many stages of education, including classroom study aids, clinical skill interaction and image training simulators, thanks to a new generation of Internet applications. This paper aims to provide a comprehensive systematic review using bibliometric analysis on the metaverse in health education and analyze the trends and patterns of research output within the field.

The paper conducts bibliometric analysis and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent review process. Specifically, this article identifies research questions, develops a data-collection strategy and establishes a screening approach that includes determining relevant keywords and applying inclusion and exclusion criteria.

A bibliometric analysis is conducted comprising 231 studies from 145 scientific journals to assess the trends, patterns and collaboration networks in research on the use of metaverse technology in health education. This paper provides insights into the research themes, publication trends and countries leading in this field, which can guide future research in this field.

The use of metaverse technology in health education has gained momentum in recent years. Despite this interest, comprehensive studies to review and analyze the existing literature on this topic systematically are lacking. In response, this paper provides a systematic review that explores the potential role of the metaverse in health education. By considering the current research, key trends, research hotspots and opportunities for future investigations are identified. The findings not only shed light on the current state of research but also offer guidance for advancing this exciting field.

A large number of studies indicate that coercive forms of organizational control and performance management in health care services often backfire and initiate dysfunctional consequences. The purpose of this article is to discuss new approaches to performance management in health care services when the purpose is to support innovative changes in the delivery of services.

The article represents cross-boundary work as the theoretical and empirical material used to discuss and reconsider performance management comes from several relevant research disciplines, including systematic reviews of audit and feedback interventions in health care and extant theories of human motivation and organizational control.

An enabling approach to performance management in health care services can potentially contribute to innovative changes. Key design elements to operationalize such an approach are a formative and learning-oriented use of performance measures, an appeal to self- and social-approval mechanisms when providing feedback and support for local goals and action plans that fit specific conditions and challenges.

The article suggests how to operationalize an enabling approach to performance management in health care services. The framework is consistent with new governance and managerial approaches emerging in public sector organizations more generally, supporting a higher degree of professional autonomy and the use of nonfinancial incentives.

It is generally believed that in order to maximise value for shareholders, companies should strive towards maximising MVA (and not necessarily their total market value). The best way to do so is to maximise the EVA, which reflects an organisation’s ability to earn returns above the cost of capital. The leverage available to companies that incur fixed costs and use borrowed capital with a fixed interest charge has been known and quantified by financial managers for some time. The popularisation of EVA and MVA has opened up new possibilities for investigating the leverage effect of fixed costs (operational leverage) and interest (financial leverage) in conjunction with EVA and MVA, and for determining what effect changes in sales would have through leverage, not only on profits, but also on EVA and MVA. Combining a variable costing approach with leverage analysis and value analysis opens up new opportunities to investigate the effect of certain decisions on the MVA and the share price of a company. A spreadsheet model is used to illustrate how financial managers can use the leverage effects of fixed costs and the (fixed) cost of capital to maximise profits and also to determine what impact changes in any variable like sales or costs will have on the wealth of shareholders.

The main aim of this paper is to examine the claim that economic value added (EVA) advocates its superiority over the traditional accounting-based financial performance measures, i.e. profit after tax (PAT), earnings per share (EPS), return on assets (ROA), return on equity (ROE) and return on investment (ROI) in the Indian manufacturing sector and at the same time, give empirical facts. It also tests and examines the information content of various performance measures and their relationship with stock returns.

The paper uses the sample of 534 Indian manufacturing companies from the Bombay Stock Exchange (BSE) during the period 2000–2018. Multiple regression models are applied to examine the information content of EVA and traditional performance measures in explaining shareholders’ returns.

Relative information content tests revealed that traditional accounting-based measures such as EPS, ROE and ROA performed better than EVA in explaining the returns of Indian manufacturing companies. Incremental information content of EVA adds little contribution to information content above traditional performance measures. The claim of superiority of EVA over accounting-based measures in association with shareholder returns is proved invalid in Indian manufacturing companies.

This study concludes that EVA has no superiority over traditional accounting-based financial performance measures in explaining stock returns of Indian manufacturing companies. To achieve heftiness in outcomes, panel data are tested by using Breusch–Pagan–Godfrey (BPG) test for heteroskedasticity, Hausman’s test for fixed and random effect, variance inflation factor (VIF) test for multicollinearity and Durbin–Watson test for autocorrelation.

The primary aim of this systematic review is to identify, describe and synthesise the published literature on the types and effects of feedback received by emergency ambulance staff. The secondary aim will be to describe the mechanisms and moderators of the effects of prehospital feedback in an organisational context.

The application and effects of feedback for healthcare professionals, to support improved practice, is well researched within the wider healthcare domain. Within a prehospital context, research into feedback has been developing in specific areas such as automated feedback from defibrillators and debrief after simulation. However, to date there has been no systematic review published on the types and effects of feedback available to emergency ambulance staff.

This study will be a systematic mixed studies review including empirical primary research of qualitative, quantitative and mixed methods methodology published in peer-reviewed journals in English. Studies will be included if they explore the concept of feedback as defined in this review, i.e. the systematised provision of information to emergency ambulance staff regarding their performance within prehospital practice and/or patient outcomes. The search strategy will consist of three facets: ambulance staff synonyms, feedback synonyms and feedback content. The databases to be searched from inception are MEDLINE, Embase, AMED, PsycINFO, HMIC, CINAHL and Web of Science. Study quality will be appraised using the mixed methods appraisal tool (MMAT) developed by Hong et al. (2018). Data analysis will consist of narrative synthesis guided by Popay et al. (2006) following a parallel-results convergent synthesis design.

Registration: PROSPERO (CRD42020162600)

The Consultation and Relational Empathy (CARE) Measure is a validated tool for assessing the patients' perception of the doctors' communication in primary care. The present study aims to evaluate the potential usefulness of the CARE Measure in secondary care in a single Hospital Trust in Scotland.

A total of 1,015 out‐patients attending 25 consultants across ten specialities anonymously completed the questionnaire immediately after their appointment. Overall satisfaction, estimated consultation length, satisfaction with consultation length, and demographic and socio‐economic variables were also recorded.

The number of missing values and “not applicable” responses to the ten CARE Measure items was extremely low (3.4 per cent). Almost 90 per cent of patients felt the CARE Measure items were of major importance. The measure had a high internal reliability (Cronbach's alpha 0.94) and reduced to a single factor. Overall CARE Measure score correlated with overall satisfaction (r=0.7, p<0.0001), whether patients would recommend the doctor (r=0.6, p<0.0001), and satisfaction with consultation length (r=0.6, p<0.0001). Multi‐regression analysis showed that personal continuity of care, consultation length, and patient age positively influenced CARE Measure score, but the effect size was small. Patients' gender, marital status, general health, and socio‐economic factors did not influence scores. Reliability analysis indicated that 40 patients were required per doctor in order to achieve an overall reliability co‐efficient of above 0.7.

Secondary care patients across a range of specialities have endorsed the CARE Measure as a relevant tool. It has high face and concurrent validity, internal and structural reliability and is not subject to major influences by demographic or socio‐economic factors. These findings support the feasibility and reliability of the CARE Measure in secondary care.

This pilot study indicates that the CARE Measure is considered by most patients to be of high relevance to everyday out‐patient consultations in secondary care.

The paper aims to find out the information content of performance measures from accounting and value-based measures that best explain the total shareholder return.

To achieve this aim, static and dynamic panel data regression analysis is applied to the sample of 56 Indian companies taken from the Nifty Midcap 100 Index, between 2012 and 2019.

It is found that accounting-based measures have more relative information content in predicting total shareholder return as compared to value-based measures. Economic value added (EVA) and cash value added (CVA) do not add to the information content provided by accounting-based measures. A combination of accounting-based measures and value-added intellectual coefficient (VAIC) adds marginally to the information content provided by accounting-based measures in explaining the total shareholder return. Dynamic panel regression analysis shows that return on assets (ROA), return on capital employed (ROCE), return on equity (ROE) and EVA have a significant impact on total shareholder return.

In this study, along with EVA, other measures from value-based measures, i.e. CVA are empirically tested to explain the total shareholder return. Intellectual capital efficiency computed by VAIC is also empirically tested along with accounting-based measures, EVA, CVA and market value added (MVA). To bring robustness to findings, data are tested by using dynamic panel regression analysis.

In this paper, we study financial foundations of Austrian business cycle theory (ABCT). By doing this, we (1) clarify ambiguous and controversial concepts like roundaboutness and average period of production, (2) we show that the ABCT has strong financial foundations (consistent with its microeconomic foundations), and (3) we offer examples of how to use the flexibility of this approach to apply ABCT to different contexts and scenarios.

The purpose of this review paper was identifying barriers to the use of telemedicine systems in primary health-care individual level among professionals.

This study used Scopus and PubMed databases for scientific records identification. A systematic review of the literature structured by PRISMA guidelines was conducted on 37 included papers published between 2009 and 2019. A qualitative approach was used to synthesize insights into using telemedicine by primary care professionals.

Three barriers were identified and classified: system quality, data quality and service quality barriers. System complexity in terms of usability, system unreliability, security and privacy concerns, lack of integration and inflexibility of systems-in-use are related to system quality. Data quality barriers are data inaccuracy, data timeliness issues, data conciseness concerns and lack of data uniqueness. Finally, service reliability concerns, lack of technical support and lack of user training have been categorized as service quality barriers.

This review identified and mapped emerging themes of barriers to the use of telemedicine systems. This paper also through a new conceptualization of telemedicine use from perspectives of the primary care professionals contributes to informatics literature and system usage practices.

With increasing pressure on firms to deliver shareholder value, there has been a renewed emphasis on devising measures of corporate financial performance and incentive compensation plans that encourage managers to increase shareholder wealth. One professedly recent innovation in the field of internal and external performance measurement is a trade‐marked variant of residual income known as economic value‐added (EVA). This paper attempts to provide a synoptic survey of EVA's conceptual underpinnings and the comparatively few empirical analyses of value‐added performance measures. Special attention is given to the GAAP‐related accounting adjustments involved in EVA‐type calculations.