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Development and Validation of an Indicator System for Evaluating Clinical Nursing Process Quality Using Mobile
Hongyue Ge1, Qiao Wang1, Sibo Liu1
1Department of Integrated Traditional and Western Cardiology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China.
A new indicator system, using a mobile nursing information system, reliably assesses clinical nursing process quality. It identified significant variations in care delivery across departments, highlighting areas for improvement in nursing efficiency and patient safety.
Area of Science:
- Nursing Science
- Health Informatics
- Quality Improvement
Background:
- Clinical nursing processes are critical for patient outcomes.
- Assessing nursing process quality is essential for healthcare improvement.
- Mobile nursing information systems offer potential for enhanced efficiency and safety.
Purpose of the Study:
- To develop and validate a standardized indicator system for clinical nursing process quality assessment.
- To leverage a mobile nursing information system for efficient and safe care evaluation.
- To identify variations in nursing process quality across different clinical departments.
Main Methods:
- A Delphi method was used for expert consultation to establish indicator importance and weights.
- A precedence ordering chart was utilized for assigning indicator weights.
- The system was tested using data from three clinical departments, focusing on 20 indicators across assessment, execution, guidance, and management.
Main Results:
- High expert consensus (100% response rates, authority coefficients 0.89-0.90) and moderate agreement (Kendall's W = 0.21, 0.129) were achieved.
- A final system comprised 4 primary indicators (assessment, execution, guidance, management) and 44 secondary indicators.
- Significant inter-departmental variations were found in injection/infusion execution rates and specimen submission timeliness.
Conclusions:
- The developed indicator system is scientifically reliable and valid for assessing clinical nursing process quality via mobile systems.
- The system effectively identified variations in nursing practices, indicating its utility for quality improvement.
- Further research is recommended to validate the system's timeliness and objectivity in real-world nursing settings.
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