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Comparative Evaluation of Efficacy of Digital Device (Modified Urinometer) For Evaluating the Effective Urine Output
Aarti Raut1, Ranjana Sharma2, Aashish Labade3
1Department of Medical Surgical Nursing, Srimati Radhikabai Meghe Memorial College of Nursing, Datta Meghe Institute of Higher Education and Research, Sawangi, Meghe, Wardha, Maharashtra, India.
Background:
Effective urine output monitoring is crucial in clinical settings, especially for patients with catheterization needs. Traditional methods, like manual urine bag measurements, are prone to inaccuracy and inconsistencies. This study introduces a modified urinometer with digital capabilities to measure urine output, pH, and color in real time, comparing its efficacy with the conventional urine bag method.
Material And Method:
This pilot study employed a comparative experimental design with two phases: Device development and clinical validation. Phase I involved creating and validating the digital urinometer for accuracy in measuring hourly urine output, pH, and color. In Phase II, a randomized controlled trial was conducted with 30 patients at Acharya Vinoba Bhave Rural Hospital. Participants were randomly assigned to either the experimental group (modified urinometer) or the control group (conventional urine bag monitoring). Data was collected over 24 hours, and accuracy was assessed by comparing device readings with laboratory results.
Result:
The digital urinometer demonstrated high reliability and accuracy, with significant ease of use and comfort among participants (P < 0.05). The device's output measurements were closely aligned with laboratory findings, validating its precision. User satisfaction was notably high, with 83.3% of participants willing to recommend the device. However, areas for improvement include automatic data recording and reduced need for manual adjustments.
Conclusion:
The modified urinometer shows promise as a reliable tool for real-time urine output monitoring, potentially enhancing patient management and clinical efficiency. Future iterations should address automation and further refine usability. This study sets the foundation for broader clinical adoption and subsequent impact assessments.
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