Shamal Faily, Claudia Iacob, Raian Ali and Duncan Ki-Aries
This paper aims to present a tool-supported approach for visualising personas as social goal models, which can subsequently be used to identify security tensions.
Abstract
Purpose
This paper aims to present a tool-supported approach for visualising personas as social goal models, which can subsequently be used to identify security tensions.
Design/methodology/approach
The authors devised an approach to partially automate the construction of social goal models from personas. The authors provide two examples of how this approach can identify previously hidden implicit vulnerabilities and validate ethical hazards faced by penetration testers and their safeguards.
Findings
Visualising personas as goal models makes it easier for stakeholders to see implications of their goals being satisfied or denied and designers to incorporate the creation and analysis of such models into the broader requirements engineering (RE) tool-chain.
Originality/value
The approach can be used with minimal changes to existing user experience and goal modelling approaches and security RE tools.
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Keywords
Liisa Jaakkimainen, Imaan Bayoumi, Richard H. Glazier, Kamila Premji, Tara Kiran, Shahriar Khan, Eliot Frymire and Michael E. Green
The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP…
Abstract
Purpose
The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP) using patient responses to a survey conducted in Ontario, Canada.
Design/methodology/approach
The authors conducted a validation study using as a reference standard respondents to a community-based survey who indicated they did or did not have a PCP. The authors developed and tested health administrative algorithms against this reference standard. The authors calculated the sensitivity, specificity positive predictive value (PPV) and negative predictive value (NPV) on the final patient attachment algorithm. The authors then applied the attachment algorithm to the 2017 Ontario population.
Findings
The patient attachment algorithm had an excellent sensitivity (90.5%) and PPV (96.8%), though modest specificity (46.1%) and a low NPV (21.3%). This means that the algorithm assigned survey respondents as being attached to a PCP and when in fact they said they had a PCP, yet a significant proportion of those found to be uncertainly attached had indicated they did have a PCP. In 2017, most people in Ontario, Canada (85.4%) were attached to a PCP but 14.6% were uncertainly attached.
Research limitations/implications
Administrative data for nurse practitioner's encounters and other interprofessional care providers are not currently available. The authors also cannot separately identify primary care visits conducted in walk in clinics using our health administrative data. Finally, the definition of hospital-based healthcare use did not include outpatient specialty care.
Practical implications
Uncertain attachment to a primary health care provider is a recurrent problem that results in inequitable access in health services delivery. Providing annual reports on uncertainly attached patients can help evaluate primary care system changes developed to improve access. This algorithm can be used by health care planners and policy makers to examine the geographic variability and time trends of the uncertainly attached population to inform the development of programs to improve primary care access.
Social implications
As primary care is an essential component of a person's medical home, identifying regions or high need populations that have higher levels of uncertainly attached patients will help target programs to support their primary care access and needs. Furthermore, this approach will be useful in future research to determine the health impacts of uncertain attachment to primary care, especially in view of a growing body of the literature highlighting the importance of primary care continuity.
Originality/value
This patient attachment algorithm is the first to use existing health administrative data validated with responses from a patient survey. Using patient surveys alone to assess attachment levels is expensive and time consuming to complete. They can also be subject to poor response rates and recall bias. Utilizing existing health administrative data provides more accurate, timely estimates of patient attachment for everyone in the population.
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Jerrod A. Henderson, Erik M. Hines, Jared L. Davis, Le Shorn S. Benjamin, Jeannette D. Alarcón and Tyron Slack
In spite of ongoing and recent initiatives aimed at broadening participation in engineering, the representation of diverse groups of learners in engineering graduate programs in…
Abstract
Purpose
In spite of ongoing and recent initiatives aimed at broadening participation in engineering, the representation of diverse groups of learners in engineering graduate programs in the USA remains a challenge. Foregrounding the voices of 26 Black male engineering faculty, this study aims to investigate how institutions might recruit and retain more Black men in engineering graduate programs.
Design/methodology/approach
For this study, inductive thematic analysis was used.
Findings
The authors show that three themes, namely, representation as an asset, invested mentors and faculty, and supportive peer networks described as the “Vibe” manifest as crucial elements for successful recruitment and retention of Black men in engineering graduate programs.
Originality/value
These findings are meant to augment the conversation around diversity, equity and inclusion in engineering graduate programs and to address a dearth of published research on the Black male engineering population. This work is also meant to help institutions conceptualize ways to create a “Vibe” that might be transferable to their institution’s sociocultural context.
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Rosemarie Santa González, Marilène Cherkesly, Teodor Gabriel Crainic and Marie-Eve Rancourt
This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and…
Abstract
Purpose
This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.
Design/methodology/approach
This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).
Findings
Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.
Originality/value
This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.