Exploring disparities in post-cancer treatment instructions: an analysis of rural vs. urban breast cancer survivors in Missouri using BRFSS data.

Background: There are more than 4 million breast cancer survivors in the United States. With continuing improvements in early detection and treatment, the number of breast cancer survivors will only continue to increase. Breast cancer survivors face a lifetime risk of long-term or late-effects from cancer treatments, thus post-cancer treatment care, referred to as survivorship care, is critical.

Evaluating and Incorporating Generative AI in Nursing Informatics and Data Science Graduate Courses.

The disruptive effect and lasting implications of generative artificial intelligence ("Gen AI") tools for higher education are yet unknown. ChatGPT 3.5 was released in November 2022 and soon had over 100 million users.

School Nurses and Chronic Absenteeism in Schools: A Qualitative Study on Experiences, Perspectives, and Roles.

Regular attendance is integral for students' academic success; it also affects adolescents' physical and mental health. Very few studies consider (a) differences between partial- and full-day absences regarding chronic absenteeism (CA; missing school ≥15 days in an academic year); or (b) roles of school nurses in addressing student absenteeism. This study describes school nurses' perceptions of factors related to CA and differences between partial- and full-day absences by analyzing qualitative data from six focus groups with 21 Midwestern school nurses.

Data-Driven Analytics to Discover APRN's Impact on Nursing Home Hospitalization: Causal Discovery Analysis.

Objectives: Research shows advanced practice registered nurses (APRNs) embedded in nursing homes (NHs) reduce resident hospitalizations. However, the specific APRN activities that reduce hospitalizations have not been adequately investigated. This study aims to identify the causal links between APRN activities and NHs resident hospitalization.

Using data-driven analytics and ecological systems theory to identify risk and protective factors for school absenteeism among secondary students.

Chronic absenteeism is an administrative term defining extreme failure for students to be present at school, which can have devastating long-term impacts on students. Although numerous prior studies have investigated associated variables and interventions, there are few studies that utilize both theory-driven and data-informed approaches to investigate absenteeism. The current study applied data-driven machine learning techniques, grounded in "The Kids and Teens at School" (KiTeS) theoretical framework, to student-level data (N = 121,005) to identify risk and protective variables that are highly associated with school absences.

The efficacy of mobile health interventions used to manage acute or chronic pain: A systematic review.

Chronic pain is a significant health issue that affects approximately 50 million adults in the United States. Traditional interventions are not always an effective treatment strategy for pain control. However, the wide adoption of smartphones and the rapid growth of health information technologies over the past decade have created opportunities to use mobile health (mHealth) applications (apps) for pain tracking and self-management.