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    <timestamp>20250915064428000</timestamp>
    <depositor>
      <depositor_name>Editor</depositor_name>
      <email_address>editor.jddt@gmail.com</email_address>
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    <registrant>Universal Journal of Pharmaceutical Research</registrant>
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      <journal_metadata>
        <full_title>Universal Journal of Pharmaceutical Research</full_title>
        <abbrev_title>Univ J Pharm Res</abbrev_title>
        <issn media_type="electronic">2456-8058</issn>
        <issn media_type="print">2831-5235</issn>
      </journal_metadata>
      <journal_issue>
        <publication_date media_type="online">
          <month>09</month>
          <day>15</day>
          <year>2025</year>
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          <title>A SYSTEMS BASED APPROACH TO MICROBIOLOGICAL QUALITY ASSESSMENT IN A HEALTHCARE FACILITY’S WATER DISTRIBUTION NETWORK: A CASE STUDY</title>
        </titles>
        <contributors>
          <person_name contributor_role="author" sequence="first">
            <surname>Mostafa Essam Eissa</surname>
          </person_name>
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        <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
          <jats:p>Background: Water distribution systems within healthcare facilities are complex ecosystems that can harbor opportunistic pathogens, posing a significant risk to patient safety. Ensuring the microbiological quality of water requires rigorous monitoring and a deep understanding of the entire system, from source to point-of-use. This study undertakes a comprehensive statistical analysis of microbiological data from a healthcare facility’s water treatment and distribution network to identify contamination hotspots, evaluate the efficacy of critical treatment barriers, and map potential contamination pathways.
Methods: This retrospective case study analyzed heterotrophic plate count (HPC) data collected from 29 distinct sampling points throughout a healthcare facility’s water system. The points represented various stages, including municipal source water, intermediate treatment steps (softening, ultrafiltration, reverse osmosis), storage tanks, and multiple points-of-use. Non-parametric statistical methods were employed due to the non-normal distribution of microbial data. A Kruskal-Wallis test with Dunn's post-hoc analysis was used to compare microbial loads across all sampling points. A focused Mann-Whitney U test was performed to assess the performance of the ultrafiltration (UF) unit.
Results: The analysis revealed significant variability in microbiological quality throughout the system (Kruskal-Wallis, p&lt;0.0001). One point-of-use and a pre-UF exhibited high median microbial counts and extreme variability, indicating chronic contamination and potential biofilm proliferation. Critically, the ultrafiltration unit failed to demonstrate a statistically significant reduction in microbial load between the pre-filter.
Conclusion: The data reveals variability in microbiological levels across the water system, suggesting that the ultrafiltration barrier's performance is a significant factor influencing downstream water quality. The data points to systemic issues, likely involving widespread biofilm, that compromise water quality at the points-of-use.
                   
Peer Review History: 
Received 1 June 2025;   Reviewed 8 July 2025; Accepted 14 August; Available online 15 September 2025
Academic Editor: Dr. Tamer Elhabibi, Suez Canal University, Egypt, tamer_hassan@pharm.suez.edu.eg
Reviewers:
Dr. Gülay B Anadolu, Anadolu University, Eskisehir, Turkey, gbuyukko@anadolu.edu.tr
Prof. Dr. A. Hakan AKTAŞ, Süleyman Demirel University, Faculty of Science and Art, Department of Chemistry, Isparta-Turkey, hakanaktas@sdu.edu.tr</jats:p>
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          <month>09</month>
          <day>15</day>
          <year>2025</year>
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