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This study aimed to compare mortality rate, length of stay (LOS) and hospitalization costs at different priority levels for a patient admitted to an intensive care unit (ICU) at a public tertiary hospital in Qazvin, Iran. This study also aimed to predict influencing factors on patients’ mortality, ICU LOS and hospitalization costs in different admission groups.

The authors conducted a retrospective cohort study among patients who mainly suffered from internal diseases admitted to an ICU of a public hospital. This study was conducted among 127 patients admitted to ICU from July to September 2019. The authors categorized patients into four groups based on two crucial hemodynamic and respiratory status criteria. The authors used a logistic regression model to predict the likelihood of mortality in ICU admitted patients during hospitalizations for the four prioritization groups. Furthermore, the authors conducted a multivariate analysis using the “enter” method to identify risk factors for LOS.

Results showed a statistically significant relationship between the priority of being admitted to ICU and hospitalization costs. The authors’ findings revealed that age, LOS and levels of consciousness had a predictability role in determining in-hospital mortality. Besides, age, gender, consciousness level of patients and type of the disease were mentioned as affecting factors of LOS.

This study’s findings emphasize the necessity of categorizing patients according to specific criteria to efficiently use available resources to help health-care authorities reduce the costs and allocate the budget to different health sectors.

The current study investigates the impact of directors' attributes on the extent of compliance with International Financial Reporting Standards (IFRS) fair value disclosure requirements. The attributes investigated include directors' human capital (accounting qualification) and social capital (political association), directors' share ownership and the power distance between the chief executive officer (CEO) and the rest of the board members.

The study uses disclosure analysis to measure the extent of compliance with the fair value disclosure requirements of IFRS. Ordinary least squares (OLS) regression is used to test the relationship between the disclosure score and directors' attributes. Data were collected from the annual reports and websites of the sample companies.

Contrary to conventional belief, this study's findings suggest that directors' social capital and the power distance between the CEO and the rest of the board act as more powerful factors than directors' human capital in explaining corporate mandatory disclosure. Specifically, the results indicate that powerful actors form a dominant coalition and co-opt influential constituents from the institutional domain to neutralize the effect of legal coercion and the accounting expertise of board members and Big Four audit firms on the extent of compliance with institutional (fair value) rules.

This study utilizes Oliver's (1991) framework of strategic response to institutional processes in the Bangladeshi context. Although the study provides new insights into corporate disclosure practices, findings are not generalizable due to different institutional settings in different countries. Therefore, future studies could replicate the approach in different institutional settings.

The findings of this study will be of interest to the International Accounting Standards Board (IASB) as it focuses on a developing country that has adopted IFRS 13 and other fair value-related standards relatively recently.

The disclosure analysis contained in this study represents the first comprehensive analysis of the extent of compliance with the fair value disclosure requirements of IFRS. Furthermore, this study considers the impact of directors' social capital and finds that it is a more powerful determinant of the extent of compliance with IFRS as compared to human capital.

This paper aims to classify tourist accommodation using data from Booking.com and TripAdvisor and analyse the extent to which the different segments identified differ in terms of being adults-only.

In total, 1,535 properties located in nine Spanish sun and beach destinations were examined using a latent class cluster analysis (LCCA). The bias-adjusted three-step approach was used to investigate the differences between belonging to adults-only accommodation or not among the identified clusters.

Results show that adults-only accommodation tends to belong to the cluster with higher online ratings. In small Spanish islands, adults-only hotels account for a large share (more than 25%) of hotels.

It was not possible to analyse whether the higher rating was due to the accommodation being better or due to the tourists being more satisfied with their stay.

In urban destinations, the model is not widely used. However, in coastal destinations, it is becoming more than a novelty or a new trend.

In small Spanish islands, people traveling with children are becoming a minority. Families may feel discriminated against and express dissatisfaction with this situation in the future.

This study covers the gap in the academic literature on this growing hotel segment.

This paper aims to provide a historical overview of AA, its purpose and benefits, the legal rationale for the SCOTUS ruling and what it means for colleges and the workplace regarding equitable opportunities for minority groups (which include women, Blacks, Hispanics, Asians and other low-income populations), as they aim for the “American dream”.

SCOTUS decision and rationale, along with literature.

The race-based affirmative action (AA) precedent was recently overturned by the Supreme Court of the United States (SCOTUS) in the case of Students for Fair Admission (SFFA), Inc. vs President and Fellows of Harvard College/University of North Carolina. SCOTUS ruled that race cannot be a specific basis for college admission. In other words, public and private colleges and universities will no longer be able to consider “race” as a factor in deciding which qualified applicants should be admitted to enhance the diversity of their student body.

This is an original analysis.

Although there has been considerable growth in the higher education systems of Turkey and China in about the last two decades, there is still a room for development in enabling equity in all regions, increasing opportunities and resources regardless of socio-economic status or gender differences. Students coming from disadvantaged backgrounds do not have enough tools to change their fate for the better due to the accumulated barriers they face. Given this background, the chapter discusses how the barriers to equitable HE admissions relate to each other and which one has a greater negative impact over the Accumulated Conversion Barriers Modal we propose defined by personal, discriminatory, institutional, and geographical barriers. The perspectives of Turkish and Chinese HE stakeholders were examined through 21 in-depth interviews that were subjected to content analysis and interpreted in a comparative style using the lens of Capabilities Approach of Sen. We also offer policy suggestions to increase students’ conversion capacities for better outcomes to serve both the national and the international educational contexts owing to the adaptable nature of our modal to other countries experiencing similar issues in their higher education systems.

The purpose of this study is to implement lean six sigma (LSS) methodology to improve the admission process in a higher education institute (HEI).

In this study, case study research methodology is adopted and implemented through an LSS define-measure-analyze-improve-control (DMAIC) framework.

The preliminary investigation showed that the completion of the whole admission process of a new student takes an average of 88 min, which is equivalent to a sigma level of about 0.71 based on the targeted admission cycle time of 60 min. The implementation of the proposed LSS approach increased the sigma level from 0.71 to 2.57, which indicates a reduction in the mean admission cycle time by around 55%. This substantial improvement is expected not only to provide an efficient admission process but also to enhance the satisfaction of students and employees and increase the reputation of the HEI to a significant level.

In this study, the sample size used in the analysis is considered small. In addition, the effectiveness of the proposed approach is investigated using a discrete event simulation with a single-case study, which may limit generalization of the results. However, this study can provide useful guidance for further research for the generalization of the results to wider scopes in terms of different sectors of HEIs and geographical locations.

This study uses several statistical process control tools and techniques through a LSS DMAIC framework to identify and element the root causes of the long admission cycle time at a HEI. The approach followed, and the lessons learned, as documented in the study, can be of a great benefit in improving different sectors of HEIs.

This study is one of the few attempts to implement LSS in HEIs to improve the administrative process so that better-quality services can be provided to customers, such as students and guardians. The project is implemented by a group of undergraduate students as a part of their senior design project, which paves the way for involving students in future LSS projects in HEIs. This study is expected to help to improve understanding of how LSS methodology can be implemented in solving quality-related problems in HEIs and to offer valuable insights for both academics and practitioners.

The purpose of this paper is to understand demographic group (race, first-generation college graduate, gender, age) differences among perceived family and faculty social and family financial support within the US graduate school admissions pipeline in the social sciences.

Using data from a cross-sectional convenience sample survey (N = 99), this paper looks at ordinal social support variables (faculty member support, family social support and family financial support) by demographic groups. This paper uses a Mann–Whitney U test to compare first-generation status, race and gender and a Kruskal–Wallis H test to compare age groups.

This paper finds that applicants over 27 years old had significantly less faculty support in the graduate admissions pipeline compared to other age groups; differences in faculty support across race were marginally significant (p = 0.057). Regarding family social support, this paper finds first-generation applicants, male applicants and applicants over 27 years old report lower levels of support. Finally, this paper finds first-generation applicants and applicants over 27 years old report lower levels of familial financial support.

Previous literature on graduate admissions – published in this journal (Pieper and Krsmanovic, 2022) and others – does not consider experiences up to and before applicants hit the “submit” button on graduate applicants, which the authors term the graduate admissions pipeline. Instead, most previous literatures focus on faculty committees and validity of required application materials. Thus, this study begins to answer Posselt and Grodsky’s (2017) call to develop an understanding of applicant experiences and support within the graduate admissions pipeline.

The purpose of this clinical audit was to review the adherence to the 2017 care and treatment review policy across two NHS assessment and treatment units. Care and treatment reviews should be offered to people with an intellectual disability and/or autism who are at risk of admission into a mental health hospital.

Admission and discharge data was collected across two assessment and treatment units between January 2019 and December 2022. Adherence to the care and treatment review policy was also reviewed as was length of inpatient stay. A retrospective evaluation was conducted. Triangulation of data was collected via the trusts’ electronic patient record system and NHS analytics team. Descriptive statistics, Mann–Whitney U test and a one-way ANOVA with post hoc tests were used in the analysis.

An increase in behaviours of challenge and deterioration of mental health were the main reasons for admission. Forty-nine percent (30) of those admitted to the assessment and treatment units accessed a care and treatment review. Care and treatment reviews were more frequently provided for individuals experiencing longer inpatient stays.

There is limited evidence relating to outcomes and impact of care and treatment reviews. Further research is required to explore effectiveness of care and treatment reviews to understand benefits and appropriately prioritise resource.

This study focuses on ratcheting and budget behavior in nonprofit museums. Specifically, the authors examine how performance compared with the budget affects future revenue budgets, and how this differs from the extant literature focused on for-profit organizations. The study focuses specifically on the relationship between museums and their sources of public funding and how this affects how museums prepare budgets.

Based on four years of data covering 97 state-subsidized Danish museums, the authors analyze budget ratcheting using least absolute deviation (LAD) estimations in the form of median regressions.

The authors find that when actual revenue from admission charges is below the budget, the decrease in the following year's budget is greater than the increase in the following year's budget when actual revenue from admission charges is above the budget (i.e. the authors find asymmetrical ratcheting).

The findings are based on a specific setting (Danish museums), and the results may not be generalizable to other settings.

This study provides insights into the museum sector and other sectors with similar characteristics and contributes to understanding the differences between museums and for-profit organizations when it comes to budgeting. As private-sector management practices are gaining ground in the museum sector, it is important to learn more about budgeting-related issues in this sector.

The asymmetrical ratcheting the authors find is the opposite of ratcheting typically found in for-profit organizations. The authors attribute the results to the incentive conflict between museums and their public funding sources. The authors point to the museums' dependence on public funding as an explanation for the results and, thereby, extend the knowledge on ratcheting to organizations with different characteristics than traditional, for-profit organizations.

Evidence suggests supported living can improve functioning and reduce need. However, its lack of a clear definition has presented significant challenges to establishing a definitive evaluation of its efficacy. This study aims to evaluate the efficacy of a defined model of supported living using in terms of reductions made to aspects of clinical and social recovery.

A naturalistic, non-controlled assessment was conducting using using the Camberwell Assessment of Need Clinical Scale with a sample of adults with severe and enduring mental illness residing with a UK-based mental health company at 1 of 12 UK locations.

Analysis regarding preliminary outcomes relating to health and social need is presented with comparison between admission and six-months post-admission (N = 90). Additional analysis relating to outcomes at 12 months is also provided (N = 39). Significant outcomes are noted at both timepoints in terms of reducing unmet need and levels of formal and informal help given/required during tenancy.

The findings support that, even in the absence of clinical recovery, opportunities exist to make meaningful and valuable improvements to unmet need and functional independence, with implications for clinical practice in the context of supported living.

The findings provide encouraging early indications of the benefits of the model in making meaningful reductions to functional and psychological needs in individuals with severe and enduring mental illness.