(2024). Validation of an Excel-Based Tool for Automated Calculation of the Pittsburgh Sleep Quality Index: Accuracy and Efficiency Assessment. The Egyptian Journal of Hospital Medicine, 97(1), 4220-4225. doi: 10.21608/ejhm.2024.394123
. "Validation of an Excel-Based Tool for Automated Calculation of the Pittsburgh Sleep Quality Index: Accuracy and Efficiency Assessment". The Egyptian Journal of Hospital Medicine, 97, 1, 2024, 4220-4225. doi: 10.21608/ejhm.2024.394123
(2024). 'Validation of an Excel-Based Tool for Automated Calculation of the Pittsburgh Sleep Quality Index: Accuracy and Efficiency Assessment', The Egyptian Journal of Hospital Medicine, 97(1), pp. 4220-4225. doi: 10.21608/ejhm.2024.394123
Validation of an Excel-Based Tool for Automated Calculation of the Pittsburgh Sleep Quality Index: Accuracy and Efficiency Assessment. The Egyptian Journal of Hospital Medicine, 2024; 97(1): 4220-4225. doi: 10.21608/ejhm.2024.394123
Validation of an Excel-Based Tool for Automated Calculation of the Pittsburgh Sleep Quality Index: Accuracy and Efficiency Assessment
Background: The Pittsburgh Sleep Quality Index is a widely used tool for evaluating sleep quality, but manual scoring can be time-consuming and error prone. Objectives: To develop and validate an Excel-based automated tool for calculating Pittsburgh Sleep Quality Index scores, assessing its accuracy and quantifying time savings compared to manual calculations. Subjects and Methods: A cross-sectional study was conducted with 100 participants recruited from patients attending the Neurology Department's Sleep Clinic of Mansoura University Hospital and healthy volunteers from the hospital staff. Pittsburgh Sleep Quality Index scores were calculated both manually and using the automated Excel tool. Accuracy was assessed by comparing component and global Pittsburgh Sleep Quality Index scores between methods. Time efficiency was evaluated by comparing calculation times. Results: Perfect agreement was found between manual and automated calculations for all Pittsburgh Sleep Quality Index components and global scores (intraclass correlation coefficient = 1.0). The automated method significantly reduced calculation time by 45% (manual: 9.19 ± 1.50 minutes; automated: 5.02 ± 0.68 minutes; p < 0.0001). Conclusion: The Excel-based automated Pittsburgh Sleep Quality Index calculation tool showed perfect accuracy and significantly improved efficiency compared to manual scoring. This tool has the potential to enhance both clinical practice and sleep research by streamlining Pittsburgh Sleep Quality Index assessments.
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