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People with intellectual disabilities are high users of acute hospital care. Given their varied and often complex health-care needs, they often experience health inequalities and inequities, contributing to poorer health outcomes. As nurses are the largest health-care workforce with a patient-facing role, they have an important responsibility in meeting this populations health needs. The purpose of this paper is to explore key issues relating to the role nurses play in providing equitable health care for people with intellectual disabilities.

This service feature draws upon relevant literature to examine key contextual issues highlighting the importance of nurses in providing equitable health care for people with intellectual disabilities.

The findings from this service feature highlight the importance of nurses taking a leadership role in advocating for, and actively supporting the health needs of people with intellectual disabilities. Nurses’ leadership role, along with implementing reasonable adjustments, should be underpinned by education and training relating to the bespoke health needs of people with intellectual disabilities. This should help nurses promote the health and well-being of this population.

Addressing this populations health needs is a collective responsibility of all nurses. There are many examples of how nurses can be supported through policy, education, training and advocacy and this needs to be considered by key stakeholders and addressed as a matter of priority.

The study examined rural police culture in one Kansas police agency.

This study used a qualitative ethnographic approach using in-depth interviews and non-participant observations to construct and interpret the culture of rural police through the lens of officers working in one rural police agency.

Five themes were found that described the complexities rural police officers face at this research site, including the law being at the center of officers’ actions, the nature of crime, officers serving as jack of all trades, community relationships and enforcement of crimes by teenagers, and how outside pressures from the community and increased concern for citizens' safety affect officers' daily lived experiences.

There is a dearth of scholarly literature addressing rural and small-town policing. This study is the first known qualitative study to be conducted on rural Kansas police, allowing a snapshot of the workings of rural Kansas police.

This study aims to examine the effect of Muslim consumers’ religiosity on their brand verdict regarding clothing brands, through the mediating role of decision-making style, brand status and brand attitude.

Structural equation modeling was used to analyze the data collected from 200 clothing buyers in Mashhad, one of Iran’s religious cities.

The results indicate that intrapersonal religiosity, compared to interpersonal religiosity, has a more significant effect on Muslim consumers’ decision-making styles, and different decision-making styles of Muslim consumers affect their brand verdict through brand status and brand attitude.

The research sample consists solely of respondents from the Islamic religion. Therefore, the impact of religiosity might differ among individuals from other religions, such as Christianity and Judaism.

This study’s findings are crucial for clothing brands, both national and international, that cater to the Muslim customers’ market. They need to consider the degree of religiosity when segmenting and targeting their market. This study shows that clothing brand marketers can best influence the brand verdict of Muslim consumers by targeting those with a brand-loyal decision-making style, focusing on their religious beliefs.

To achieve success in Iran’s Muslim market, marketers must consider their consumers’ religious beliefs and tailor their marketing plans accordingly. This study aims to investigate the impact of religiosity on consumer behavior toward brands in Iran’s Muslim market.

Completing Right-of-Way (ROW) acquisition process on schedule is critical to avoid delays and cost overruns on transportation projects. However, transportation agencies face challenges in accurately forecasting ROW acquisition timelines in the early stage of projects due to complex nature of acquisition process and limited design information. There is a need of improving accuracy of estimating ROW acquisition duration during the early phase of project development and quantitatively identifying risk factors affecting the duration.

The quantitative research methodology used to develop the forecasting model includes an ensemble algorithm based on decision tree and adaptive boosting techniques. A dataset of Georgia Department of Transportation projects held from 2010 to 2019 is utilized to demonstrate building the forecasting model. Furthermore, sensitivity analysis is performed to identify critical drivers of ROW acquisition durations.

The forecasting model developed in this research achieves a high accuracy to predict ROW durations by explaining 74% of the variance in ROW acquisition durations using project features, which is outperforming single regression tree, multiple linear regression and support vector machine. Moreover, number of parcels, average cost estimation per parcel, length of projects, number of condemnations, number of relocations and type of work are found to be influential factors as drivers of ROW acquisition duration.

This research contributes to the state of knowledge in estimating ROW acquisition timeline through (1) developing a novel machine learning model to accurately estimate ROW acquisition timelines, and (2) identifying drivers (i.e. risk factors) of ROW acquisition durations. The findings of this research will provide transportation agencies with insights on how to improve practices in scheduling ROW acquisition process.

This study presents a systematic review of “employee happiness” research from 1991–2023. In this way, this study aims to critically appraise the existing literature, and synthesize themes, thereby, paving a clearer understanding of the construct, along with providing the future research agenda.

By adopting a systematic approach, this study followed scientific procedures and rationales for systematic literature reviews for article selection. A total of 57 articles were finally chosen after a careful examination from 110 selected journals.

The current study identified three major themes after evaluating the selected literature on Employee happiness: (1) work, family and personal blend, (2) organizational support, and (3) Ebullience sentiment. Amidst an ambiguous usage of several related constructs in employee happiness research, the review provided a clear definition of “employee happiness” along with proposing crucial research directions.

There is a lack of systematic reviews on employee happiness in the existing literature. Thus, by far, this effort is one of the earliest endeavors that researchers undertook toward understanding employee happiness.

The childbirth process is a complex and vital event that requires careful analysis and improvement. This experience can shape a woman's perspective on motherhood and even affect her mental health. Healthcare providers must prioritize improving the birth experience for women. In this interdisciplinary research, a combination of business process modeling (BPM) and medicine have been used with the aim of realizing an improved delivery experience and increased maternal satisfaction.

The data collection of this study was done by observing 518 childbirth processes and interviewing the chief of labor, chief residents, and midwives in the obstetrics and gynecology department of a hospital in Tehran from October 2022 to February 2023.

The research has been done in four main stages. The first phase is to model the primary process and sub-processes of normal vaginal delivery (NVD). The second phase is validation using expert confirmation and process mining (PM). The third phase is the analysis of the causes of maternal dissatisfaction in labor. The fourth phase of the heuristics redesigning and improving the process, in which for the first time three new categories have been presented including hospital-based, patient-based, and medical technique-based results show BPM intervention effect can be far-reaching in improving patient care and optimizing operational efficiency.

This study is one of only a few to adopt a process-oriented perspective to show how BPM can be used in clinical processes and has specifically examined an essential clinical process, i.e. childbirth.

1. Developing business process management (BMP) applications in a medical special process related to childbirth as interdisciplinary research.

2. A combination of qualitative and quantitative techniques contains engineering software and management approaches for a Case study, Implementation of BPM lifecycle in the women's hospital in Iran, Tehran, for a clinical process, which is called, normal vaginal delivery (NVD) process for fetal expulsion normally.

3. Modeling NVD clinical process and sub-process for the first time by BPMN2.0 notations in visual paradigm (VP) software and Validation of the made model with process mining (PM), by Disco process mining software. This was done through event log collection from HIS at the hospital.

4. Improving the childbirth process by redesigning heuristics and Introducing two new categories special for clinical process improvement for the first time.

5. Clinical process improvement heuristics obtained in this research are not consistent with the previous seven categories presented in previous studies such as Marlon Dumas' book. Therefore, we have introduced two new heuristics to redesign clinical processes compatible with medical centers, including hospital-based, patient-based, and medical technique-based.

6. Providing a framework for clinical process modeling and improvement containing steps and tools.

Developing business process management (BMP) applications in a medical special process related to childbirth as interdisciplinary research.

A combination of qualitative and quantitative techniques contains engineering software and management approaches for a Case study, Implementation of BPM lifecycle in the women's hospital in Iran, Tehran, for a clinical process, which is called, normal vaginal delivery (NVD) process for fetal expulsion normally.

Modeling NVD clinical process and sub-process for the first time by BPMN2.0 notations in visual paradigm (VP) software and Validation of the made model with process mining (PM), by Disco process mining software. This was done through event log collection from HIS at the hospital.

Improving the childbirth process by redesigning heuristics and Introducing two new categories special for clinical process improvement for the first time.

Clinical process improvement heuristics obtained in this research are not consistent with the previous seven categories presented in previous studies such as Marlon Dumas' book. Therefore, we have introduced two new heuristics to redesign clinical processes compatible with medical centers, including hospital-based, patient-based, and medical technique-based.

Providing a framework for clinical process modeling and improvement containing steps and tools.