Contamination Inspection and Disinfection for Cleanliness Management in Long-Term Care Facilities
Contamination Inspection and Disinfection for Cleanliness Management in Long-Term Care Facilities
批准号:
10739742
负责人:
Kouhyar Tavakolian
金额:
$5.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-15 至 2023-08-31
关键词:
Adenosine TriphosphateAdoptedAlgorithmic AnalysisAlgorithmsAreaBioluminescenceBody FluidsClientCollaborationsComputer softwareConsumptionCountryDetectionDevelopmentDisinfectionDocumentationEducationElderlyFamilyFarGoFogsFrightFutureHealth care facilityHealthcareInfectionInfection ControlLong-Term CareLongitudinal StudiesMachine LearningMapsMeasuresMethodsMonitorNorth DakotaNursing HomesOutcomePhasePilot ProjectsProceduresProcessResearch PersonnelResidual stateRiskSalivaSiteSmall Business Innovation Research GrantSpecific qualifier valueSpectroscopy, Fourier Transform InfraredSpottingsStandardizationSurfaceSwabSystemTechnologyTestingTimeTrainingUniversitiesVisualcomparative efficacycostdata managementdesignimprovedpathogenpilot testprogramsremediationrespiratoryresponsesoftware developmenttoolusability
中文摘要
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英文摘要
ABSTRACT
While the U.S. has more nursing-home residents than any other country, families have become reluctant to send
their elders to long term care facilities (LTCFs) due to fear of rampant infection. These facilities need to raise the
confidence of their clients by revamping their approaches to cleanliness and providing reassuring proof to
families that their elders will be safe. Effective cleaning in LTCFs involves monitoring the efficacy of the cleaning
methods used. Cleaning procedures in LTCFs are increasingly moving towards more standardized methods,
while monitoring of cleaning efficacy is generally based on visual assessment. Some facilities are beginning to
adopt measures beyond visual assessment such as swab-based Adenosine Triphosphate (ATP)
bioluminescence, but these costly and time-consuming swab tests are not widely adopted. Studies show most
LTCFs would benefit from standardized tools such as checklists, more frequent staff education including specific
product use training. The main objective of this project is to bring a new auditing system to long-term care
facilities that provides instant contamination detection, rapid surface disinfection of invisible contamination (e.g.
body fluids, saliva and respiratory droplets that can host pathogens) and documents proof of cleanliness. We
believe our Contamination, Sanitization Inspection and Disinfection (CSI-D) technology will change
cleanliness monitoring standards by allowing users to see contamination, in real time, for immediate remediation.
The CSI-D system is not intended to be a primary disinfection or cleaning tool; instead, it acts as a post-cleaning
audit solution complementary to other post-cleaning auditing tools (ATP, FT-IR, etc.), as well as providing
documentation of cleanliness. The system’s disinfection capability is intended to provide spot disinfection only
during audits or incident response and not employed as a large area disinfection method (e.g. fogging).
This Phase I SBIR will validate the usability of the CSI-D as a post cleaning auditing system to detect, disinfect
and document residual contamination, and apply risk-mapping algorithms to improve the current management
of cleanliness in LTCFs. This project is a collaboration with AI and Machine learning researchers at the University
of North Dakota and Valley Senior Living in Grand Forks, ND, and Edgewood Healthcare in Fargo, ND who will
provide important input to the design process and access to long term care facilities for pilot studies. Aim 1 will
include building the CSI-D software for long term care facilities, including developing the software specification,
software for data management, and the contamination detection algorithm. Aim 2 will include the pilot test at
LTCFs, including the development of the audit inspection procedure (task list), comparing efficacy of CSI-D with
visual assessment and ATP bioluminescence detection, and development of the dynamic risk analysis algorithm.
Future directions: Phase II will include more extensive longitudinal studies, with up to 20 of 64 Edgewood
Healthcare facilities using the CSI-D technology as an auditing tool for one year, and thereafter the facilities with
SafetySpect cleanliness monitoring program will be compared with remaining sites on infection control outcomes.
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Contamination Inspection and Disinfection for Incident and Cleanliness Management in Long Term Care Facilities
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批准号:10482137
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项目类别:
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资助金额:$25.75万
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财政年份:2022
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负责人:Kouhyar Tavakolian
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依托单位:
海外基金