Development of a Respiratory Infection Patient Care System in the Emergency and Forensic Nursing Department, Pho Chai Hospital, Roi Et Province

Abstract

Purposes: This study aimed to investigate the current situation, develop a system, and evaluate the outcomes of a care model for patients with respiratory tract infections within the context of emergency and forensic nursing services.

Study design:  Action research methodology was employed.

Materials and Methods: Key informants were divided into three groups: 1) Service recipients, consisting of patients with respiratory tract infections 10 of participants during the situational analysis phase and 10 of participants during the system development phase. 2) Service providers, comprising 8 professional nurse. And Co-researchers, including 25 of personnel from related service sectors and healthcare networks. Data were collected using record forms and focus group interview guides. The analysis included descriptive statistics (Frequency and Percentage) and content analysis.

Main finding: 1) Situational analysis revealed issues in the patient triage process, particularly distinguishing between critically ill and non-critical patients, inadequate knowledge and skills in symptom assessment criteria, inefficiencies in referral systems, and lack of data integration across service units. 2) The developed care system integrated clinical practice guidelines based on the SIRS Criteria (Systemic Inflammatory Response Syndrome) and the SOS Score (Search Out Severity Score). And 3) Outcome evaluation showed that healthcare providers adhered to the care guidelines at the highest level, and 100% of patients received appropriate care.

Conclusion and Recommendations: The analysis highlighted limitations in the critical care service system, particularly in patient triage, assessment skills, referral processes, and data integration. System improvement using SIRS Criteria and SOS Score resulted in optimal provider adherence to the care protocol and comprehensive patient care. Further studies should explore scalability and sustainability of the model in broader healthcare settings.