Chia-Jung Hsieh
National Taipei University of Nursing and Health Sciences

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The Perception of Quality Nursing Work Environment among Hospital Nurses Aric Vranada; Chiou-Fen Lin; Chia-Jung Hsieh; Tsae-Jyy Wang
International Journal of Nursing and Health Services (IJNHS) Vol. 4 No. 5 (2021): International Journal of Nursing and Health Services (IJHNS)
Publisher : Alta Dharma Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35654/ijnhs.v4i5.500

Abstract

Background: Nurses, the more significant health care provider, need an excellent work environment that adequately expresses their skills and knowledge on providing optimum care quality outcomes to the patients. Objective: This study aimed to determine the current state of the nurses’ perceived work environment quality and examine differences in perceived work environment quality among nurses with different characteristics. Method: A descriptive cross-sectional correlation design and a probability sampling method recruit 334 hospital nurses. The self-report questionnaire scale of the Quality Nursing Work Environment (QNWE) was used to collect data. Descriptive statistics, variant analysis (ANOVA), independent-sample t-test, and Pearson correlation were utilized to analyze comprehensive data. Result: The participants reported a perceived moderate level of quality of the work environment. The perceived QNWE levels were found to differ across participants' ages statistically (p<0.05), work experience (p<0.01), and department (p<0.05). Most participants rated their working environment as high quality on the domain "Professional specialization and cooperation" (M=2.81; SD=0.53). Contrarily, the responses to domain 2, "Staff quality," were ranked lower (M= 3.32; SD=0.63). Nurses who worked in the special care units and had three years or more experience perceived lower work environment quality than others did. Recommendation: The finding of this study can be utilized as a guideline to the policymakers, hospital administrators, nurse supervisors, and educators to determine areas to improve nurses' work environment; which could translate into a significant improvement in patient outcome
Tele-Psychiatric Nursing and Remote Monitoring for Schizophrenia Management: An Evidence-Informed Narrative Review Chia-Jung Hsieh; Chen-Shu Fen
South East Asia Nursing Research Vol 8, No 2 (2026)
Publisher : University of Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/seanr.8.2.2026.80-94

Abstract

Continuity of care for schizophrenia is challenged by treatment disengagement, delayed recognition of relapse, and barriers to in-person follow-up. This evidence-informed narrative review critically examines tele-psychiatric nursing and digital remote monitoring, distinguishing nurse-delivered care from automated and multicomponent interventions. Targeted searches of publicly accessible PubMed records, publisher websites, and citation links were performed in October 2026 for English-language evidence published no later than December 2025. Randomized trials, longitudinal and qualitative studies, evidence syntheses, and relevant guidance were examined using a design-sensitive narrative matrix; no quantitative meta-analysis or systematic screening counts were undertaken. Small schizophrenia-specific randomized trials suggest benefits of structured telephone nursing for medication-related adherence, attitudes, or quality of life, but effects on self-efficacy and longer-term clinical outcomes are uncertain. Multicomponent digital and community interventions yield context-dependent findings, and a 2025 meta-analysis of 26 randomized studies found no significant pooled effects across major outcomes. Active monitoring with clinical triage appears feasible, whereas passive sensing has heterogeneous measurement and insufficient prospective clinical validation. Important implementation concerns include therapeutic alliance, consent, surveillance-related distress, digital exclusion, staff workload, and response accountability. The evidence supports a hybrid, person-centred model in which nurses interpret monitoring information through dialogue, use explicit escalation pathways, and preserve accessible face-to-face alternatives. Future pragmatic trials should isolate the contribution of nursing support and evaluate independently adjudicated relapse, functioning, safety, equity, and implementation costs.