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Factor Analysis in the Implementation of Early Warning System Documentation in Psychiatric Hospitals Mawaddah, Nurul; Prastya, Anndy; Bogohanto, Bernadius
The Indonesian Journal of Occupational Safety and Health Vol. 12 No. 2 (2023): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v12i2.2023.219-226

Abstract

Introduction: An early warning system (EWS) is a tool to rapidly identify patient deterioration and prevent adverse events. However, the implementation and documentation have not been carried out optimally. This study aims to analyze factors related to the implementation of EWS documentation in a psychiatric hospital in Malang. Methods: The study was an analytical observational study with a cross-sectional design. The study population was all nurses in the intensive care unit of the hospital, with a total sample of 60 respondents selected using a proportional random sampling technique. Data collection used demographic data questionnaires, workload questionnaires, and observation sheets for the implementation of EWS documentation of patients through the hospital management information system. Analysis of the data used the chi-square test. Results: Implementation of EWS documentation was significantly related to workload and EWS training (p<0.05). Implementation of EWS documentation was not related to age, gender, education level, years of service, employment status, and work shift (p>0.05). Conclusion: Nurses with light workloads and who had attended EWS training created good documentation successfully (100%). Hospitals need to review their management in planning, developing, and fostering nursing resources, especially the provision of continuous training accompanied by equitable EWS monitoring for nurses in psychiatric hospitals.
Impact of Daily Self-Care Schedule Intervention on Improving Self-Care Ability in Patients with Schizophrenia Sari, Mertin Kartika; Fatmawati, Atikah; Prastya, Anndy
Jurnal Ilmiah Ners Indonesia Vol 6 No 2 (2025): November 2025
Publisher : Program Studi Keperawatan Fakultas Kedokteran dan Ilmu Kesehatan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jini.v6i2.48200

Abstract

Schizophrenia commonly reduces self-care abilities due to positive and negative symptoms and impaired executive function, which limit independence and quality of life. A structured daily schedule is a simple non-pharmacological strategy that may support routine formation and increase patient engagement. This study aimed to examine the effect of a daily nursing schedule on the self-care abilities of patients with schizophrenia. A quasi-experimental pre-test and post-test control group design was used with 35 respondents. The intervention group received a structured daily self-care schedule for six days. Self-care independence was measured using an observation sheet adapted from the Indonesian Nursing Outcome Standards (SLKI) code L.11103 (Self-Care). Data were analyzed using the Wilcoxon Signed Rank Test. Results showed a significant improvement in the intervention group (p = 0.000), while the control group showed no significant change (p = 0.180). The daily schedule was effective because it provided structure, predictability, and clear expectations, allowing patients to build consistent habits and participate more actively in self-care tasks. The intervention also encouraged family involvement, strengthening external support, and reinforcing patient motivation. These findings indicate that a structured daily schedule can be integrated into psychiatric nursing practice as an effective and low-cost psychosocial intervention to enhance independence, reduce caregiver burden, and improve the quality of life of individuals with schizophrenia. Future studies are recommended to assess long-term outcomes, involve larger and more diverse samples, and explore the use of digital scheduling tools or structured family participation to optimize intervention results.