TD Bank Group

ABSTRACT While organizational justice perceptions are often thought to be stable, empirical evidence highlights substantial within‐person fluctuations over time. The development of these justice fluctuations may have important implications for newcomers' enactment of organizational citizenship behaviors (OCB). Building on fairness heuristics theory to consider the perception of justice as a dynamic phenomenon, we predict that the developmental nature of overall organizational justice (OOJ) perceptions varies between people following three trajectories. A Canadian sample of 103 participants responded to weekly surveys across 17 weeks, resulting in 986 observations. By means of latent class growth modeling, we identified one stable and two dynamic OOJ trajectories. These OOJ trajectories were differentially related to the enactment of OCB. Respondents characterized by the major negative change trajectory (decreasing levels of OOJ) had the lowest levels of OCB enactment, whereas respondents characterized by the stable and minor negative change OOJ trajectory had equally high levels of OCB enactment. Even when accounting for variable‐centered between‐person elements (primacy, recency and halo effects) when predicting OCB enactment at the end of the study, we found significant effects for the developmental nature of one's OOJ. We discuss the importance of these findings for organizational justice theory as well as their implications for practice.

As emerging technologies such as Blockchain, the Internet of Things (IoT), and Artificial Intelligence (AI) continue to reshape industries, the need for robust data governance frameworks has become increasingly critical. These technologies introduce unique challenges, including data privacy concerns, security vulnerabilities, and the complexity of managing vast, decentralized data sets. This paper proposes a conceptual framework for data governance tailored to the specific requirements of Blockchain, IoT, and AI technologies. The framework emphasizes a holistic approach, integrating key governance principles such as transparency, accountability, and compliance with regulatory standards. It also highlights the importance of fostering collaboration between stakeholders, including technologists, legal experts, and policymakers, to create a cohesive governance structure that can adapt to the rapid evolution of these technologies. The proposed framework addresses three core areas: data integrity and quality, security and privacy, and ethical considerations. For Blockchain, the focus is on ensuring the immutability and transparency of records while safeguarding against potential misuse of decentralized data. In the context of IoT, the framework prioritizes the management of data from diverse sources, ensuring interoperability and protecting sensitive information from unauthorized access. For AI, the emphasis is on developing ethical guidelines for data usage, preventing bias in algorithmic decision-making, and maintaining transparency in AI-driven processes. The framework also advocates for the integration of advanced data analytics and machine learning techniques to enhance data governance capabilities, enabling real-time monitoring and predictive insights. Additionally, it underscores the need for continuous training and education for all stakeholders to keep pace with the dynamic nature of emerging technologies. By adopting this comprehensive data governance framework, organizations can mitigate risks, ensure compliance, and harness the full potential of Blockchain, IoT, and AI while maintaining public trust.

Over-use of SABA is associated with poor asthma control and greater risk of exacerbations and death. Identifying and addressing the beliefs driving SABA over-reliance is key to reducing over-use. This study aimed to assess the utility, impact and acceptability of the Reliever Reliance Test (RRT), a brief patient self-test behaviour-change tool to identify and address SABA over-reliance. Patients with asthma who completed the RRT in Argentina were invited to an online survey exploring the acceptability of the RRT, and its impact on patients’ perceptions of SABA and intention to discuss asthma treatment with a doctor. 93 patients completed the questionnaire. The RRT classified 76/93 (82%) as medium-to-high risk of SABA over-reliance (a mindset where SABA is perceived as the most important aspect of asthma treatment), with 73% of these reporting SABA overuse (3 or more times a week). 75% intended to follow the RRT recommendations to review their asthma treatment with their doctor. The RRT is acceptable to patients and was effective at raising awareness of, identifying and addressing SABA over-reliance and encouraging patients to review their treatment with their doctor.

Abstract This technical abstract delves into optimizing well delivery time in unconventional drilling projects by leveraging digital solutions, focusing on offset well data analysis, invisible lost time (ILT), and well time benchmarking. Emphasizing the complexities of limited well counts within de-risking strategies, the integration of digital technology has revolutionized conventional drilling practices, improving operational efficiency and productivity in well drilling and completion processes. The study focuses on the crucial role of digital tools in analyzing offset well data and employing ILT analysis to optimize present and future drilling operations within an unconventional development drilling campaign. It explores the significance of these tools in analyzing historical well data to benchmark operations, identify ILT areas, and ultimately drive operational excellence and consistency. Case studies and empirical analyses underscore the significance of utilizing digital solutions for offset well data analysis and ILT identification, refining drilling strategies, and reducing non-productive time (NPT), thereby enhancing overall drilling efficiency. Utilizing the digital solution, this study analyzed two distinct drilling campaigns conducted by different teams, examining seven offset wells drilled by various rigs. The analysis includes investigating operational events through detailed key performance indicators (KPI) categories, ILT drivers, drilling practices, NPTs, and unplanned events. After identifying contributors to ILT and NPT, the study provided composite well time estimations for a UC gas HTHP well, enabling the establishment of detailed rig operations benchmarks allowing more accurate well delivery time estimations for future development drilling projects. Moreover, this paper emphasizes the importance of rig operation benchmarking, utilizing digital solutions to track, compare and enhance drilling performance against unconventional drilling wells record. The findings highlight that integrating digital solutions with ILT analysis and benchmarking enables more informed decision-making, leading to streamlined and optimized well operations within unconventional oil and gas drilling projects.

In an increasingly interconnected world, the need for software applications that function seamlessly across diverse devices and operating systems is paramount. Developing crossplatform software applications addresses this need by providing a unified user experience and operational efficiency regardless of the hardware or system being used. This approach eliminates the need for multiple versions of the same application, streamlining development and reducing costs while improving accessibility and consistency. Crossplatform development involves creating software that is compatible with various operating systems such as Windows, macOS, iOS, and Android, as well as different device types including desktops, tablets, and smartphones. Key methodologies in this domain include the use of frameworks and tools such as React Native, Flutter, and Xamarin, which allow developers to write code once and deploy it across multiple platforms. These frameworks offer a range of features to enhance user interfaces, manage system resources efficiently, and ensure robust performance across devices. The benefits of crossplatform applications are manifold. They provide a consistent user experience, as the same application behaves similarly across different devices, enhancing usability and customer satisfaction. Additionally, they simplify maintenance and updates, as changes need only be implemented once rather than across multiple codebases. This approach also accelerates timetomarket by leveraging shared codebases, thereby enabling faster development cycles and quicker deployment. However, developing crossplatform applications also presents challenges. Ensuring consistent performance and functionality across diverse systems can be complex, requiring careful design and testing. Developers must also navigate varying hardware capabilities and user interface guidelines for different platforms. Despite these challenges, advances in development frameworks and tools continue to improve the efficiency and effectiveness of crossplatform solutions. In conclusion, crossplatform software development represents a strategic approach to enhancing compatibility and accessibility across devices and systems. By leveraging modern frameworks and tools, organizations can deliver cohesive, highquality applications that meet the needs of a diverse user base while optimizing development resources and costs. Keywords: : Developing, CrossPlatform, Software Applications, Compatibility, Devices.

Allergic rhinitis (AR), a condition characterized by sensitivity to allergens leading to poor quality of life, including disrupted sleep, reduced vitality, lowered mood, changes in blood pressure limited frustration tolerance, impaired focus, decreased performance in academic and professional settings, and millions of missed work and school days every year. Approximately 20–40% of individuals in the United States are affected by AR, which carries notable clinical and financial burdens. Interestingly, there is a strong link between AR and asthma to the extent that countries with a high prevalence of rhinitis have asthma rates ranging from 10% to 25%. Research has indicated that Allergen Immunotherapy (AIT) is associated with improved AR symptoms, a potential to resolve the AR over time, a decreased likelihood of asthma exacerbations and incidence of pneumonia in individuals with concurrent asthma, which are advantages that persist for years even after the cessation of treatment. Although patients presenting with allergies are first seen and treated in the primary care setting, gaps in training and the lack of available guidance for primary care practitioners have significantly impacted the quality of care for these patients with persistent AR symptoms, resulting in inefficient use of healthcare resources. To complicate matters, there is an insufficiency of allergists and immunologists, impacting the capacity to provide next-level care to the number of AR patients who could benefit from AIT. Hence, there is a critical need to equip primary care providers with educational experiences on essential concepts related to immune responses in allergies and asthma, recognizing the significance of the common airway in treating these entities and familiarization with the scientific evidence supporting various options for AIT. The development and implementation of medical education and algorithms designed to assess diverse patients’ symptoms, pharmacotherapy approaches, and situations where AIT can be initiated or sustained are warranted. The present commentary proposes a workflow model of the critical steps for managing and treating mild to moderate respiratory allergies via AIT in primary care settings. In addition, the initial development of medical education programs to minimize the burden on allergy-specialized care while, importantly, actively improving patient outcomes will be discussed.

BackgroundHelping Babies Breathe (HBB) is a newborn resuscitation training program designed to reduce neonatal mortality in low- and middle-income countries. However, skills decay after initial training is a significant barrier to sustained impact.ObjectiveTo test whether a mobile app, HBB Prompt, developed with user-centred design, helps improve skills and knowledge retention after HBB training.MethodsHBB Prompt was created during Phase 1 of this study with input from HBB facilitators and providers from Southwestern Uganda recruited from a national HBB provider registry. During Phase 2, healthcare workers (HCWs) in two community hospitals received HBB training. One hospital was randomly assigned as the intervention hospital, where trained HCWs had access to HBB Prompt, and the other served as control without HBB Prompt (NCT03577054). Participants were evaluated using the HBB 2.0 knowledge check and Objective Structured Clinical Exam, version B (OSCE B) immediately before and after training, and 6 months post-training. The primary outcome was difference in OSCE B scores immediately after training and 6 months post-training.ResultsTwenty-nine HCWs were trained in HBB (17 in intervention, 12 in control). At 6 months, 10 HCW were evaluated in intervention and 7 in control. In intervention and control respectively, the median OSCE B scores were: 7 vs. 9 immediately before training, 17 vs. 21 immediately after training, and 12 vs. 13 at 6 months after training. Six months after training, the median difference in OSCE B scores was -3 (IQR -5 to -1) in intervention and -8 (IQR -11 to -6) in control (p = 0.02).ConclusionHBB Prompt, a mobile app created by user-centred design, improved retention of HBB skills at 6 months. However, skills decay remained high 6 months after training. Continued adaptation of HBB Prompt may further improve maintenance of HBB skills.

The benefits of participating in high-quality Early Childhood Education (ECE) have been recognized by people for many years; and the need for high-quality ECE has never been greater. In this case study, we focus on whether ECE can improve learning speed in five domains: social, emotional, communication, cognition, and physical development. The initial ages for each of these five domains, in months since birth, are collected and compared with that of common children as described in Nipissing District Developmental Screen (NDDS). We find that children in the ECE program learned faster with a p-value no >0.0078. In addition, students in an ECE program are labeled by their ages at enrollment as Cohort 1 (infant) and Cohort 2 (toddler), and we conduct the following statistical tests on their difference: Welch's t-test, Hoteling's T2-test, and survival analysis. We find that the average initial observation age of Cohort 1 is 4.82 months earlier than that of Cohort 2 with a p-value no >0.009. We are convinced that ECE programs could advance students' learning in all five domains.

To describe patient characteristics, treatment patterns, and the burden of illness among adult migraine patients in Canada prescribed migraine prophylactics. Little is known about the relative persistence of treatments in the real-world setting and the impact of migraine prophylactic therapy on patients. As a result, migraine care in Canada continues to inadequately serve patients suffering from frequent headache days, reflecting a large unmet need. This retrospective study used Reformulary Group's longitudinal prescription claims database. Private payer data were analyzed to identify 2007 migraine prophylactic naïve patients, with a prior history of acute therapy, for tracking over 24 months to determine treatment patterns and costs. Patient flow is summarized in a Sankey diagram visualizing persistence and switching across different timepoints. Patient persistence to migraine prophylactic medications was low at 24.9% (n=500); Switching from index medications to another prophylactic medication was common (27%), however 50% of patients discontinued without switching. It was observed that acute treatment and opioid use were much lower when patients established and maintained therapy on migraine prophylactics. Overall, angiotensin receptor blockers and CGRP antagonists had high persistence but were underutilized therapies while the inverse was true for antidepressants and anticonvulsants. In a real-word setting, recognizing that many patients may discontinue preventative treatment completely after their first therapy, there is a need to employ migraine-specific prophylactics and/or tolerable medications early. Treatment guidelines aligned to costs savings and/or requiring step therapy may be inadvertently failing patients. Further, the impact of migraine on the day-to-day lives of patients and high societal costs such as its impact on productivity should be weighed in considering migraine's burden of illness and the benefits of treatment.