Evidence Map and Systematic Review of Disinfection Efficacy on Environmental Surfaces in Healthcare Facilities.
Elizabeth C ChristensonRyan D CronkHelen AtkinsonAayush BhattEmilio BerdielMichelle CawleyGrace ChoCollin Knox ColemanCailee HarringtonKylie HeilfertyDonald Luke FejfarEmily J GrantKaren GriggTanmay JoshiSuniti MohanGrace PelakYuhong ShuJamie K BartramPublished in: International journal of environmental research and public health (2021)
Healthcare-associated infections (HAIs) contribute to patient morbidity and mortality with an estimated 1.7 million infections and 99,000 deaths costing USD $28-34 billion annually in the United States alone. There is little understanding as to if current environmental surface disinfection practices reduce pathogen load, and subsequently HAIs, in critical care settings. This evidence map includes a systematic review on the efficacy of disinfecting environmental surfaces in healthcare facilities. We screened 17,064 abstracts, 635 full texts, and included 181 articles for data extraction and study quality assessment. We reviewed ten disinfectant types and compared disinfectants with respect to study design, outcome organism, and fourteen indictors of study quality. We found important areas for improvement and gaps in the research related to study design, implementation, and analysis. Implementation of disinfection, a determinant of disinfection outcomes, was not measured in most studies and few studies assessed fungi or viruses. Assessing and comparing disinfection efficacy was impeded by study heterogeneity; however, we catalogued the outcomes and results for each disinfection type. We concluded that guidelines for disinfectant use are primarily based on laboratory data rather than a systematic review of in situ disinfection efficacy. It is critically important for practitioners and researchers to consider system-level efficacy and not just the efficacy of the disinfectant.
Keyphrases
- healthcare
- drinking water
- systematic review
- primary care
- human health
- randomized controlled trial
- type diabetes
- metabolic syndrome
- case report
- risk assessment
- electronic health record
- quality improvement
- insulin resistance
- deep learning
- pseudomonas aeruginosa
- high density
- clinical practice
- case control
- health insurance