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This case study paper aims to explore the complexities and challenges of epidemic response and public health surveillance in Native American and Indigenous American communities in the United States and find viable solutions. This paper explores these topics through the emergence and impact of the hantavirus pulmonary syndrome (HPS) within the Navajo Nation in the United States using critical incident analysis and best practices.

This project is a case study paper based on a topical review of the literature. A topical review of the literature is a comprehensive exploration of the current body of knowledge within a particular research field. It is an important tool used by scholars and practitioners to further the development of existing knowledge as well as to identify potential directions for future research (Fourie, 2020). Such a paper can provide a useful insight into the various aspects of the process that the researcher may have overlooked, as well as highlighting potential areas of improvement (Gall et al., 2020). It can also provide a useful source of ideas and inspiration for the researcher as it can provide an overview of the various approaches used by other researchers in the field (Göpferich, 2009). Case study papers using a topical review of the literature have been used to help frame and inform research topics, problems and best practices for some time. They are typically used to explore a topic in greater depth and to provide an overview of the literature to improve the world of practice to provide a foundation for future comprehensive empirical research. Case study papers can provide research value by helping to identify gaps in the literature and by providing a general direction for further research. They can also be used to provide a starting point for research questions and hypotheses and to help identify potential areas of inquiry.

This study explores best practices in public health surveillance and epidemic response that can help strengthen public health infrastructure by informing the development of effective surveillance systems and emergency response plans, as well as improving data collection and analysis capabilities within Native American and Indigenous American communities in the United States that also have the option to include new technologies like artificial intelligence (AI) with similar outbreaks in the future.

The literature review did not include any primary data collection, so the existing available research may have limited the findings. The scope of the study was limited to published literature, which may not have reported all relevant findings. For example, unpublished studies, field studies and industry reports may have provided additional insights not included in the literature review. This research has significant value based on the limited amount of studies on how infectious diseases can severely impact Native American communities in the United States, leading to unnecessary and preventable suffering and death. As a result, research on viable best practices is needed on the best practices in public health surveillance and epidemic response in Native American and Indigenous American communities through historical events and critical incident analysis.

Research on public health surveillance and epidemic response in Native American communities can provide insights into the challenges faced by these communities and help identify potential solutions to improve their capacity to detect, respond to and prevent infectious diseases using innovative approaches and new technologies like AI.

More research on public health surveillance and epidemic response can inform policies and interventions to improve access to healthcare for Native American populations, such as increasing availability of healthcare services, providing culturally appropriate health education and improving communication between providers and patients. By providing better public health surveillance and response capacity, research can help reduce the burden of infectious diseases in Native American communities and ultimately lead to improved public health outcomes.

Although special education was built upon the foundation of the Civil Rights Act of 1964, the discrimination that many racialized students receiving special education services experience cannot be denied. Many culturally, ethnically, and linguistically diverse students receiving special education services encounter labels that perpetuate racism and ableism and lead to inequitable access to services and resources necessary for more positive postsecondary outcomes. By honoring intersectionality and dismantling the singular identity, educators can become change agents and shift the historic oppressive narrative to create a system of empowerment as these individuals transition from transitional kindergarten to age 21 special education programs (TK-21) schools into adulthood.

Synthetic patient data produced by Synthea was described in Chapter 6. That data is used to create a baseline for all patients, palliative patients, and deceased palliative patients. Distributions of comorbidities across the patient groups are examined and demographic characteristics. The factors used in palliative care groupings are presented with the synthesized data fields used. The size of the palliative population is again estimated to establish validity.

This chapter more clearly identifies the distinction between Electronic Health Record (EHR) and Electronic Medical Record (EMR), and states their value in obtaining individual-level data. Synthetic medical records may be used as a surrogate for EHR data in order to ensure digital data privacy is maintained during the development of the LHS. Synthea is an open-source simulation tool available through GitHub.¹ Extensive descriptive analysis of synthesized data is provided as a foundation for the analysis in Chapter 7.

Supporting community college transfer students represents a critical strategy for broadening participation in STEM. In addition to being a racially diverse group, students who pursue STEM degrees by way of community college report frequent interests in graduate study and academic careers. Thus, supporting and expanding transfer students’ PhD interests can help to diversify the STEM professoriate. This study aims to identify the experiences that predict PhD interests among students who transferred into the computer science major from a community college.

Relying on longitudinal survey data from over 150 community college transfer students throughout their first year at their receiving four-year university, we used regression analysis to identify the post-transfer college experiences that predict early interest in PhDs.

We found that receiving information about PhDs from a professor strongly predicted PhD interest among transfer students. Relationships with other variables indicate that the provision of information about graduate school was more likely to occur for students who participated in undergraduate research experiences than for those participating in internships. Descriptive data document inequities in who has access to these types of experiences.

This paper provides new insight into how STEM departments can develop targeted efforts to ensure that information about PhD training is equitably available to all transfer students. Working to ensure that faculty equitably communicate with students about PhD opportunities may go a long way in countering potential deterrents among transfer students who may be interested in such pathways.

Current research about American Indians of all ages is in short supply, yet design and allocation of public services and resources are increasingly guided by ‘evidence’ provided by research. The health and wellness of this population is persistently poorer than that of other marginalized populations. American Indian tribes have been beset progressively since the earliest arrival of European settlers by both malevolent and well-intentioned assaults on their cultures and peoples. This long history of cultural and physical genocide continues into the present and undermines the effectiveness of Eurocentric processes for research that have been shaped by values and beliefs antithetical to those of most tribes (e.g. individualism, proprietary ownership, science as the way of knowing). Individual and collective historical trauma is present in all of the more than 500 federally recognized tribes in the United States of America, and a lack of trust further compromises the validity and positive impact of most research. This chapter describes the roots and foundations of flawed and successful research and identifies practical resources and approaches that are valid and beneficial for conducting research with indigenous people. The processes described in this chapter are grounded in the experiences of tribes in the United States of America; however, parallel experiences of indigenous populations that have a continuing legacy of trauma are found in many other countries (such as in Brazil and New Zealand) and the insights and approaches found in this chapter may be applicable to some degree.

This case was based on both primary and secondary data. In-depth semidirected interviews were conducted in 2021–2022 after receiving the institutional research board approval. The interviews took an approximate time ranging from 90 to 120 min. They were recorded and transcribed. A thematic analysis was undertaken to identify the most relevant themes for the case. The secondary sources used included various websites, scholarly and trade journals, as well as specific databases, such as Statista.

The case exposes students in multiple disciplines to the challenges created by the COVID-19 crisis at Yale School of Medicine (YSM). It describes its remarkable effects on organizational and community members as they struggled to reimagine more inclusive and supportive spaces. As one of the most severe crises humanity has ever witnessed, COVID-19 exacerbated the existing struggles of the underrepresented communities, creating a double pandemic. It has also amplified inequities among marginalized groups including black, indigenous and people of color; women; immigrants; lesbian, gay, bisexual, transgender, queer/questioning; people with different abilities; working parents; single parents; religious minorities; and people with low income. When COVID-19 hit in 2020, Yale University School of Medicine (YSM), like other pioneering schools in the field of health care, doubled their efforts to face both the public health crisis and the substantial social turmoil (racial tensions after the death of George Floyd, food insecurity, vaccine resistance, social inequalities, etc.). Professor Marietta Vazquez, MD, who was the first Latina to be named Associate Dean for Medical Students Diversity at YSM, launched with Dr Latimore (Chief Diversity Officer) and her other colleagues many strategic initiatives aiming at improving the diversity, equity and inclusion of organizational and community members.

The case is an invitation to graduate students and students in executive education programs to reflect on the grand challenges leaders faced at YSM as well as in other institutions across the nation and the globe. It is also a call to reimagine ways leaders can accelerate the pace of change in their organizational ecosystems.

This case was written for use in graduate-level courses, including executive education dealing with Diversity, Equity, Inclusion and Belonging, Leadership and Change, Health-Care Equity/Policy, Health Sciences, Human Resource Management, Organizational Behavior, Crisis Management, Sustainability, Business and Society, Social Issues in Management, Strategy, etc. Faculty members can easily adapt the case to fit the content of the course they teach, the students’ context as well as the specific learning outcomes to be achieved.

This chapter will identify readily accessible existing sources of public data. Thechallenges of using that data are considerable and require extensive time to ensure validity for reporting purposes. Summaries of data field selection and data wrangling requirements are presented in conjunction with data aggregation strategies.

Despite long-standing evidence that the use of exclusionary discipline practices is both ineffective and even potentially harmful, these policies continue to be used in educational settings across the country. In this chapter, we discuss the problems associated with exclusionary discipline, with an emphasis on zero tolerance approaches. We begin our discussion with a brief history of the origin of zero tolerance policies, a presentation of data that contradict the effectiveness of such policies, and examples of the continued and egregious application of this exclusionary approach. We discuss problems of disproportionality associated with the use of zero tolerance policies, including how this approach exacerbates learning problems for students with and at risk for disabilities, especially if that risk is related to emotional and behavioral disorders (EBD). We conclude by offering alternatives to a zero tolerance approach in the form of positive and preventative approaches for improving student behavior across various levels of intensity within a tiered system of support framework.

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.