Time frame guide for emergency model of care and patient satisfaction in emergency facilities

• Main Authors: Hidayatus Sya'diyah (Author), Indra Kurniawan Saputra (Author), Ayu Citra Mayasari (Author), Sukma Ayu Candra Kirana (Author), Diyan Mutyah (Author)
• Format: Book
• Published: PAGEPress Publications, 2023-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.4081/hls.2023.11743; 2281-7824
• Keywords: Time guide emergency model of care; satisfaction; emergency department; Public aspects of medicine; RA1-1270
• Source: Healthcare in Low-resource Settings, Vol 11, Iss 2 (2023)

Patient satisfaction in the emergency department is crucial for assessing the quality of care provided. Timely patient management enhances confidence in healthcare providers and the hospital. The Time Frame Emergency Model of Care is instrumental in ensuring timely service delivery and reducing adverse effects associated with prolonged patient stays (LOS) and overcrowding. The purpose of this study was to investigate the relationship between the time frame guide emergency model of care and patient satisfaction in the emergency room. This quantitative cross-sectional study employed accidental sampling, involving 95 respondents aged over 18 years with triage 4 classification in the emergency department. Questionnaires were used to collect data on the Time Frame Emergency Model of Care and patient satisfaction. The chi-square test was utilised for data analysis. The findings revealed a high level of patient satisfaction in the emergency department. The chi-square test demonstrated a significant relationship between the Time Frame Emergency Model of Care and patient satisfaction (p-value = 0.000, <0.05). Moreover, the correlation coefficient of 0.582 indicated a strong relationship. In conclusion, this study established a significant relationship between the Time Frame Emergency Model of Care and patient satisfaction at emergency room. These results emphasise the model's role in enhancing patient satisfaction and reducing adverse outcomes associated with extended patient stays and overcrowding.