Welcome to the Current Issues section of the International Journal of Global Perspectives in Mental Health Nursing. Here, you will find the latest research articles, reviews, case studies, and clinical reports addressing key topics in mental health nursing. We strive to publish timely and high-quality content that reflects the evolving nature of mental health care and highlights the global challenges and innovations in the field.
Featured Articles in the Latest Issue
- Volume 2 (Issue 1) JANUARY- JUNE 2026
Research Articles
Digital Therapeutic Competencies Among Psychiatric Nurses: A Multi Country Cross-Sectional Validation Study
Vol.2(1); Pages:1-10. Published on February-2026
Abstract
The swift adoption of digital therapeutics and telepsychiatry platforms into the clinical practice has reshaped the competency requirements of psychiatric nurses across the world. The purpose of this cross-sectional validation study was to come up with and psychometrically test the Digital Therapeutic Competency Scale of Psychiatric Nurses (DTCS-PN) in five high-income countries. The respondents who participated in an online survey that measured their digital literacy, use of clinical decision-support, virtual therapeutic communication, cybersecurity awareness, and ethical data stewardship were 742 registered psychiatric nurses. Exploratory and confirmatory element studies showed a five-factor model that had high internal consistency (Cronbachs 4 = 0.91) and reasonable levels of construct validity. The teleconsultation documentation and algorithm-assisted risk assessment competencies were found to differ significantly in various regions. Regression analysis revealed that years of professional experience and previous training in informatics were important predictors of total competency scores (p < 0.01). The results outline essential deficiencies in the developed digital therapeutic integration, especially in the rural and community-based mental health care. The evidence-based framework of the validated DTCS-PN offers competency benchmarking, developing curriculum, and policy development that enhance global digital readiness in the mental health nursing practice..
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AI-Enabled Risk Assessment in Acute Psychiatric Units: Implementation and Evaluation Using Mixed Methods
Vol.2(1); Pages:11-18. Published on February-2026
Abstract
Artificial intelligence (AI)-based predictive tools are becoming common in acute psychiatric units to aid in the identification of suicide and violence risks. This implementation study/mixed approach was a study focused on the implementation of an AI-based clinical decision-support system within three tertiary Northern European hospitals. The analysis of quantitative data about 312 patient cases was done in order to find out the concordance of algorithm-based risk stratification and clinical judgments carried out by nurses. The perceived usability, ethical and workflow implications were investigated through qualitative interviews of 28 psychiatric nurses. The quantitative results showed that there was moderate agreement (7 = 0.67) of AI predictions and clinical evaluations and the documentation completeness was better after implementation (p < 0.05). Thematic analysis showed that there were 3 prevailing themes, which included augmented clinical insight, algorithmic transparency issues, and data privacy vigilance. The nurses mentioned that they felt increased confidence when it comes to high-risk identification yet insisted on the need to preserve clinical autonomy. Problems encountered in the implementation involved alert fatigue and integration with the already existing electronic health record systems. The research highlights the relevance of the systematic competency building in AI literacy and ethical governance. Findings inform the scaling implementation approaches and support the importance of psychiatric nurses in terms of balancing the principles of technological innovation with the principles of patient-centered care in digitally transforming mental health systems.
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Establishing Communication Competencies for Telepsychiatry in Community Mental Health Nursing: A Delphi-Based Study
Vol.2(1); Pages:19-27. Published on March-2026
Abstract
Telepsychiatry has become a cornerstone of community-based mental health services, necessitating clearly defined communication competencies for nurses. This international Delphi study sought consensus on essential telepsychiatry communication competencies among mental health nursing experts from eight countries. Three iterative survey rounds were conducted with 34 panelists possessing clinical, academic, and policy expertise. Consensus was defined as ≥80% agreement. Twenty-six competency statements achieved consensus, categorized into therapeutic alliance in virtual environments, culturally responsive digital communication, crisis de-escalation via teleplatforms, and technology-mediated confidentiality assurance. Panelists emphasized advanced non-verbal cue interpretation through video interfaces and structured digital empathy training. Additionally, competencies in managing digital boundaries and mitigating technological disruptions were identified as critical for maintaining care continuity. The final framework demonstrated strong content validity and international applicability. Findings provide a foundation for standardized telepsychiatry curriculum integration and continuing professional development programs. Establishing these competencies contributes to safer, equitable, and therapeutically effective remote mental health nursing practices in diverse global settings.
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Cybersecurity Awareness and Preparedness Among Mental Health Nurses: A Multi-Hospital Comparative Study
Vol.2(1); Pages:28-35. Published on March-2026
Abstract
Mental health data are uniquely sensitive, heightening the importance of cybersecurity preparedness among psychiatric nurses. This comparative survey study examined cybersecurity knowledge, practices, and incident response readiness across four tertiary mental health hospitals in North America and Scandinavia. A structured questionnaire was administered to 486 registered nurses, assessing password hygiene, phishing recognition, secure documentation, and breach reporting protocols. Overall cybersecurity literacy scores averaged 72%, with significant inter-institutional variation (p < 0.01). Nurses with prior formal informatics training demonstrated higher compliance with multi-factor authentication protocols and encrypted communication standards. Notably, 38% of respondents reported uncertainty regarding institutional data breach escalation pathways. Logistic regression analysis identified structured cybersecurity education and organizational policy clarity as significant predictors of preparedness. The study reveals systemic gaps in standardized cybersecurity training within mental health settings. Strengthening cybersecurity competencies is essential to safeguarding patient confidentiality, maintaining regulatory compliance, and preserving trust in digital mental health infrastructures. These findings advocate for mandatory cybersecurity modules in mental health nursing education and ongoing professional development frameworks.
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Electronic Clinical Documentation in Psychiatric Nursing: Effects on Patient Outcomes in a Prospective Study
Vol.2(1); Pages:36-44. Published on April-2026
Abstract
The quality of patient safety and continuity of care in psychiatric environments require accurate digital record keeping. The study was a prospective cohort study that examined the correlation between the inaccuracy in the documentation of electronic health records (EHR) and the choice of clinical outcomes within inpatient psychiatric units in Australia and Norway. The data were collected over six months, 214 psychiatric nurses registered 1,128 episodes with patients with the help of standard EHR templates. The accuracy of documentation was assessed through the use of a structured audit tool that measured completeness, timeliness and compliance with standardized terms. Medication adherence rates, adverse events, and length of stay were some of the outcomes of patients. Improved scores in documentation accuracy had a strong relationship with lower medication discrepancies (p < 0.01) and less average length of stay (p < 0.05). Multivariate analysis proved the completeness of documentation to be a predictor of the improved care coordination outcome independent. Nurses claimed to have better workflow efficiency after specific training on digital documentation. The paper identifies quantifiable clinical advantages of accurate digital record-keeping in mental health nursing and indicates the need to consider imparting advanced EHR capabilities into ongoing professional training in an attempt to streamline the patient-focused delivery of psychiatric care.
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