Influence of sanitizing methods on healthcare associated infections: comparison between traditional and innovative probiotic-based approaches

Assessment of the effectiveness and safety of a probiotic-based sanitizing in limiting the number of healthcare associated infections: a multicenter, prospective, pre-post interventional study

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

ISRCTN

Registry ID

ISRCTN58986947

Enrollment

18000

Registered

2016-06-14

Start date

2016-01-01

Completion date

Unknown

Last updated

2023-07-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthcare associated infections. Infections and Infestations

Interventions

The intervention will consist in the introduction of a new environmental probiotic-based sanitizing method (Probiotic Cleaning Hygiene System, PCHS), which will replace the traditional chemicals-based

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All the patients admitted to the wards of the seven hospital settings included in the study will be enrolled in the survey, without distinction of age or gender.

Exclusion criteria

Exclusion criteria: Participants that do not fulfill the inclusion criteria

Design outcomes

Primary

Measure	Time frame
1. Number of total healthcare associated infections (HAIs), recorded daily in all the hospitals enrolled in the study, before and after the application of PCHS, measured as number of HAI medical records collected at the end of the pre- and post-intervention phases, corresponding respectively to 6 and 15 months starting from the beginning of the study for each hospital setting 2. Surface bioburden quantitation and characterization in the pre- and post-intervention phases, in all the hospitals enrolled in the study, measured monthly by both conventional microbiological (pathogen quantitation) and molecular (pathogen characterization) analyses during all the study period	—

Measure

Time frame

1. Number of total healthcare associated infections (HAIs), recorded daily in all the hospitals enrolled in the study, before and after the application of PCHS, measured as number of HAI medical records collected at the end of the pre- and post-intervention phases, corresponding respectively to 6 and 15 months starting from the beginning of the study for each hospital setting 2. Surface bioburden quantitation and characterization in the pre- and post-intervention phases, in all the hospitals enrolled in the study, measured monthly by both conventional microbiological (pathogen quantitation) and molecular (pathogen characterization) analyses during all the study period

—

Secondary

Measure	Time frame
1. Number of HAIs sustained by multidrug resistant (MDR) microbial strains in the pre- and post-intervention phases in all the hospitals enrolled in the study, measured at the end of each phase, namely at 6 and 15 months starting from the beginning of the study for each hospital setting 2. Characterization of the HAIs typology, measuring the number of HAIs transmitted by contact with contaminated surfaces at the end of the pre- and post-intervention phases in all the hospitals enrolled in the study 3. Identification of a parameter correlating bioburden level/type with HAIs number	—

Measure

Time frame

1. Number of HAIs sustained by multidrug resistant (MDR) microbial strains in the pre- and post-intervention phases in all the hospitals enrolled in the study, measured at the end of each phase, namely at 6 and 15 months starting from the beginning of the study for each hospital setting 2. Characterization of the HAIs typology, measuring the number of HAIs transmitted by contact with contaminated surfaces at the end of the pre- and post-intervention phases in all the hospitals enrolled in the study 3. Identification of a parameter correlating bioburden level/type with HAIs number

—

Countries

Italy

Contacts

Public ContactSante Mazzacane

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 23, 2026