Asian/Pacific Island Nursing Journal

AI-powered therapy chatbots and virtual companions are beginning to enter routine mental health care, yet safeguards for children and adolescents remain underdeveloped. For youth with attention-deficit/hyperactivity disorder (ADHD), these tools may offer brief coaching, psychoeducation, and structured between-visit check-ins across clinic, school, and home settings, but they also raise concerns about inappropriate content, overreliance, quiet model drift, privacy across health and education systems, and missed crisis escalation. In this Viewpoint, we propose a nurse-led, risk-tiered policy and implementation framework for integrating AI therapy chatbots into youth ADHD care safely, effectively, and equitably. The framework has 3 linked layers: policy levers, implementation enablers, and measurable outcomes. We emphasize child-specific safeguards, predetermined change control for adaptive models, equity-oriented procurement and reimbursement, interoperability and safety reporting, and nurse-led human-in-the-loop oversight. We further clarify that nursing-generated data—such as structured assessments, triage actions, escalation records, and supervision workload—can function both as governance inputs and as outcome-relevant signals within monitoring and service evaluation. We also outline a phased implementation road map and a concise indicator set that schools and clinics can monitor without major new infrastructure. A nurse-led, risk-tiered approach, combined with age-appropriate safeguards, equity-by-design implementation, and privacy-preserving real-world learning, can help health systems and schools move from ad hoc adoption toward safer and more equitable use of AI therapy chatbots for youth with ADHD while the evidence base continues to mature.

Public bus drivers experience prolonged sitting, irregular shifts, limited breaks, and disrupted meals and sleep, making the maintenance of a healthy lifestyle difficult. Although occupational health checkups identify health risks, little is known about the duration of maintenance of self-reported stages of behavior change or their association with physiological markers.

Digital transformation through electronic health records (EHRs), telehealth, mobile health, and emerging AI has reshaped nursing work. Beyond questions of adoption and usability, nurses report disruptions to workflow continuity, professional identity, moral agency, and the meaning of care.

Digital health technologies (DHTs), including mobile health (mHealth) apps and online medical records, are increasingly being used to support self-management and communication with health care professionals among the general population across the United States. However, few studies have explored whether cultural, privacy, and sociodemographic factors may influence DHT adoption among Vietnamese Americans specifically.

Former homeless older adults represent a highly vulnerable population facing substantial community health challenges, including an elevated risk of sarcopenia due to compounded health and social disadvantages. Developing a context-specific management system is crucial for enhancing early detection, prevention, and care within supportive housing settings.

Chiang Mai Province, located in northern Thailand, is a well-known tourist destination. Its rural areas are characterized by mountainous and valley landscapes, where residents primarily engage in agricultural activities and maintain traditional ways of life rooted in Northern Thai culture. However, persons with disabilities in rural areas of Chiang Mai face significant challenges in enhancing their quality of life and well-being. Home adaptations and assistive products are essential for these individuals, as they facilitate daily activities and improve overall living conditions. To address the needs of persons with disabilities in these communities effectively, it is crucial to gather insights and perspectives that reflect their everyday experiences.

The breastfeeding coverage rate (that is, the number of mothers reached by breastfeeding programs) in several regions in Indonesia, including Banten and West Java, is still below the actual rate of breastfeeding nationwide. The breastfeeding coverage rate is influenced by mothers’ condition after childbirth, particularly among mothers who have had a caesarean section. Support from partners, family, and close friends also has a large influence on the continuation of exclusive breastfeeding.

Breast cancer (BC) symptom awareness through screening measures, such as breast self-examination practice (BSEP), is promoted in low-resource countries. The Muslim culture has a unique impact on family support for women’s health care decisions, especially from the mother. Given the proven effect of educational intervention on breast health through interactive sessions and mobile health, implementation according to Muslim cultural values through family support, especially from the mother, was lacking, and this study was planned.

The COVID-19 pandemic caused significant disruption in health care services. Many essential services were delayed by health care facilities, including voluntary counseling and testing (VCT) services for people living with HIV. There were many reports of interruption in HIV testing, antiretroviral therapy (ART) initiation, and also ART access for people living with HIV during the pandemic. Patients were unable to attend follow-ups and acute care visits due to fear and anxiety. This situation also caused stress for people living with HIV.

Nursing records are essential for maintaining patient care quality but impose a substantial workload on nurses, thus contributing to burnout and diverting attention from direct care. Voice input technology enables hands-free and eyes-free documentation, allowing simultaneous patient care and record entry. Despite its potential, its adoption in clinical nursing practice remains limited owing to concerns about patient privacy, technical instability, and the complexity of entering structured data into electronic medical record interfaces. Furthermore, most previous studies have been conducted in simulation settings or have focused on post hoc dictation. Thus, the feasibility of true simultaneous documentation in real-world clinical environments remains largely unexplored.

Asian American and Pacific Islander populations are disproportionately affected by diabetes.

Bariatric surgery offers quick weight reduction for patients with morbid obesity. Those who plan for bariatric surgery require perioperative preparation, including obstructive sleep apnea (OSA) evaluation, and treatment using a continuous positive airway pressure (CPAP) machine is recommended. There are limited data on how patients have prepared for bariatric surgery or for those who have decided to purchase a CPAP machine prior to surgery.