Abstract
OBJECTIVE: This study aimed to develop and validate a standardized indicator system to assess clinical nursing process quality, leveraging a mobile nursing information system to enhance care efficiency and safety. METHODS: A Delphi method was employed, with indicator weights assigned via a precedence ordering chart. Data from three distinct clinical departments were analyzed to test the system, focusing on 20 indicators spanning assessment, execution, guidance, and management domains. RESULTS: Both rounds of expert consultation achieved 100% response rates, with high authority coefficients (0.89 and 0.90). Kendall's concordance coefficients indicated moderate agreement among experts (W = 0.21, P < 0.05; W = 0.129, P < 0.05). The mean importance scores for each indicator ranged from 3.85 to 5.00, with coefficients of variation ranging from 0.00 to 0.24. The final system included 4 primary indicators (assessment [weight: 0.438], execution [0.313], guidance [0.125], management [0.125]) and 44 secondary indicators. Significant variations emerged across departments. One department demonstrated significantly lower execution rates for subcutaneous, intradermal, intramuscular, and intravenous injections, nebulization inhalation, oral medication, and intravenous infusion compared to the other two departments (P < 0.05). Similarly, another department exhibited a significantly lower rate of timely submission of blood, urine, stool, and sputum specimens compared to the other departments (P < 0.05). CONCLUSION: The indicator system developed for evaluating the quality of clinical nursing processes within a mobile nursing information system demonstrated scientific reliability and validity, with appropriately assigned indicator weights. This system shows promise as a potentially effective means of evaluating the quality of clinical nursing processes. Future research could build on the results of this study to further validate the timeliness and objectivity of this indicator system in assessing the quality of the nursing process.