ArticleJournal of pharmacy & bioallied sciences2025
Comparative Evaluation of Efficacy of Digital Device (Modified Urinometer) For Evaluating the Effective Urine Output pH and Color as Compared to The Conventional Urine Bag- A Pilot Study.
Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
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 ( 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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