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Using a simplified ATP algorithm to improve data reliability and improve cleanliness standards for surface and

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An improved Adenosine Triphosphate (ATP) testing algorithm reduces variability in surface cleanliness measurements. Duplicate sampling and a cleaning intervention step (CIS) enhance hygiene certainty for various surfaces.

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Area of Science:

  • Microbiology
  • Infection Control
  • Biotechnology

Background:

  • Variability in rapid Adenosine Triphosphate (ATP) testing can impact surface cleanliness assessments.
  • A cleaning intervention step (CIS) is utilized to verify the cleanability of surfaces.

Purpose of the Study:

  • To improve an algorithm for Adenosine Triphosphate (ATP) testing to mitigate variability in surface cleanliness measurements.
  • To assess the effectiveness of duplicate ATP sampling and a cleaning intervention step (CIS) in determining surface hygiene.

Main Methods:

  • Adenosine Triphosphate (ATP) testing was performed on 421 environmental surfaces, medical devices, and implements.
  • Duplicate ATP sampling was conducted on adjacent surfaces.
  • A cleaning intervention step (CIS) was applied to 270 surfaces using aseptic techniques.

Main Results:

  • 68.5% of surfaces were classified as clean, 13.5% as dirty, and 18% as equivocal based on initial ATP results.
  • Duplicate testing revealed a 10% false negative rate and identified significant variability in equivocal results.
  • The cleaning intervention step (CIS) demonstrated that cleaning could be improved on 88.5% of tested surfaces (P<0.001).

Conclusions:

  • The simplified ATP testing algorithm enhances real-time discrimination of surface cleanliness levels.
  • Duplicate swab sampling effectively mitigates uncontrolled variability in ATP test results.
  • The cleaning intervention step (CIS) offers a nuanced understanding of measurable surface cleanliness, improving overall hygiene certainty.