The Challenges Ahead: Concepts, Analytics, and Ethics of Value-Based Care in Applied Behavior Analysis.

Value-based care has incrementally increased its footprint across healthcare over the past 2 decades. Several organizations in ABA have begun experimenting with various components of value-based care specific to the delivery of ABA services and it seems likely that this trend will continue into the future. For those new to value-based care, this article reviews the main conceptual components as well as common myths and misconceptions about value-based care.

The Moderating Role of Ethnicity on Depressive and Anxiety Symptoms and Pain Catastrophizing in Hispanic/Latinx and Non-Hispanic/Latinx White Youth with Chronic Pain.

Objectives: Chronic pain (CP) significantly impacts emotional and physical well-being and overall quality of life across diverse populations in the United States (U.S.).

Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework.

Sensor networks generate vast amounts of data in real-time, which challenges existing predictive maintenance frameworks due to high latency, energy consumption, and bandwidth requirements. This research addresses these limitations by proposing an edge-cloud hybrid framework, leveraging edge devices for immediate anomaly detection and cloud servers for in-depth failure prediction. A K-Nearest Neighbors (KNNs) model is deployed on edge devices to detect anomalies in real-time, reducing the need for continuous data transfer to the cloud.

The needs of informal caregivers of people experiencing dementia as identified on social media.

Objectives: The aims of this study were to 1) categorize and quantify the most frequent concerns of informal caregivers, 2) conduct a thematic analysis on a sample of the posts, and 3) examine a subset of 100 post responses to determine if they are supportive and evidence- based.

Method: For Aims 1 and 2, we used a qualitative descriptive design using content analysis. To address Aim 3, we used a Delphi method in a subset sample of responses to posts to determine if they were supportive or not and evidence-based or not.

Latinx Youth in Rural Settings: Understanding the Links Between Ethnic-Racial Identity, Neighborhood Risks, Perceived Discrimination, and Depressive Symptoms.

Introduction: The current study examined the relationships between neighborhood risk, perceived ethnic-racial discrimination, and depressive symptoms among rural Latinx adolescents. We also tested for potential moderation effects of ethnic-racial identity (ERI) and how these associations differ by gender.

Methods: Interviewer-administered surveys were used to collect quantitative data for this cross-sectional study in 2017.

Evaluating a screening-to-intervention model with caregiver training for response to name among children with autism.

Among the developmental milestones related to language and communication in early childhood, one that has been the subject of considerable research is response to name (RTN). Delayed or absent RTN in early childhood is a diagnostic marker for autism spectrum disorder and a target behavior in many early intervention curricula. This article describes two related studies.

An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning.

In recent times, automated detection of diseases from pathological images leveraging Machine Learning (ML) models has become fairly common, where the ML models learn detecting the disease by identifying biomarkers from the images. However, such an approach requires the models to be trained on a vast amount of data, and healthcare organizations often tend to limit access due to privacy concerns. Consequently, collecting data for traditional centralized training becomes challenging.

Correction: Behavior Analysts' Use of Treatments for Individuals with Autism: Trends within the Field.

[This corrects the article DOI: 10.1007/s40617-023-00776-2.].

Nurse Educators.

They teach knowledge and skills while fostering clinical reasoning.

A qualitative analysis of expert interviews on safety and risk.

Safety is a significant clinical challenge in settings serving adults with developmental disabilities. Few resources exist to guide clinical teams in this realm; this study explored safety elements through interviews with experts in critical areas of safety management. The present study aimed to gather knowledge and insights regarding assessing risk among individuals with disabilities.

Comparing interteaching and discussion forums in an asynchronous online classroom.

The current study compared the effects of interteaching and discussion forum activities on quiz and assignment scores in a master's-level asynchronous research methods course. In an alternating-treatments design, six participants engaged in interteaching on half of the weeks and in the discussion forum on alternate weeks. Participants in the interteaching condition (M = 96.

Sustainable sojourns: Fostering sustainable hospitality practices to meet UN-SDGs.

This research discusses the significance of environmental transformational leadership (ENTL) in the creation of energy-saving sustainable behaviors (EESB) among employees in the tourism and hospitality sector of China. The method is consequently a quantitative analysis, where the mediating effect of green intrinsic motivation (GNIM) and green passion (GRP), and the moderating role of green altruism (GNA) are examined to understand their influence on the relationship between ENTL and EESB. The data were gathered from multiple hotels in major Chinese cities, with the use of a structured questionnaire.

Resilience of individuals with chronic illness who reside in low resource communities: a concept analysis.

Background: Chronic illness diagnosis while living in low resourced communities creates ongoing adversity in the process of adaptation. Resilience is an important phenomenon of study to improve health outcomes. The subject in this particular population has been poorly studied.

A Correlational Study Measuring Burnout and Resilience Among Nurse Educators.

Burnout, one possible cause of the nurse faculty shortage, may be mitigated by resilience. This study found that faculty who scored unusually low in resilience were likely to feel emotionally exhausted and depersonalized; however, even those with average scores in resilience were likely to feel emotionally exhausted, if not depersonalized. These findings suggest that interventions that increase resilience may reduce the frequency of the most severe burnout profiles among nurse educators.

Microaggressions in Nursing.

How to address these behaviors to promote health equity and inclusion.

Nurse Leader Mindfulness Pilot Impact on Perceived Stress: A Quality Improvement Project.

The recent COVID-19 pandemic exacerbated pre-existing stressful conditions in health care, further elevating the risk of negative health outcomes for nurses and particularly nurse leaders. The aim of this pilot project was to assess the efficacy of mindfulness practices in attenuating nurse leaders' perceived stress levels. There is a lack of evidence regarding the outcomes of stress reduction programs aimed at health care staff, especially for nurse leaders within the clinical setting.

Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.

Artificial intelligence (AI) is increasingly a part of our everyday lives. Though much AI work in healthcare has been outside of applied behavior analysis (ABA), researchers within ABA have begun to demonstrate many different ways that AI might improve the delivery of ABA services. Though AI offers many exciting advances, absent from the behavior analytic literature thus far is conversation around ethical considerations when developing, building, and deploying AI technologies.

The Promises and Possibilities of Artificial Intelligence in the Delivery of Behavior Analytic Services.

Artificial intelligence (AI) has begun to affect nearly every aspect of our daily lives and nearly every industry and profession. Many readers of this journal likely work in one or more areas of behavioral health. For readers who work in behavioral health and who are interested in AI, the purpose of this article is to highlight the pervasiveness of AI research being conducted around many facets of behavioral health service delivery.

Attachment relationship quality with mothers and fathers and child temperament: An individual participant data meta-analysis.

A growing body of research suggests that, compared with single parent-child attachment relationships, child developmental outcomes may be better understood by examining the configurations of child-mother and child-father attachment relationships (i.e., attachment networks).