- What data exist for the effectiveness of no touch modalities for disinfecting patient rooms in hospital or acute care settings for:
- Respiratory viral pathogens
- Other pathogens with potential relevance to assessing efficacy vs COVID-19 (specifically Clostridioides (formerly Clostridium) difficile infection [CDI])
Condition or Domain Being Studied
The COVID-19 pandemic has caused nearly 870,000 infections and 50,000 deaths in the United States. Many COVID-19 patients have required prolonged hospitalizations for respiratory symptoms along with cardiac, hematologic, neurologic and other medical complications. Providing high quality care for patients while protecting healthcare staff from infection is challenging due to lack of knowledge regarding the safest and most effective methods and technologies for environmental cleaning of patient rooms. Thus, identifying evidence for cleaning/disinfection modalities for SARS CoV2 eradication in patient rooms is a high priority.
Terminal cleaning of patient rooms (i.e., cleaning and disinfection of surfaces and the environment after the patient has vacated the room) is typically performed by trained Environmental Services/Housekeeping staff that manually clean and disinfect surfaces using wipes/cloths/sponges moistened with chemical solution. No-touch modalities may also be used during terminal cleaning after manual processes. These modalities include ultraviolet (UV) disinfection systems, hydrogen peroxide vapor, ozone, and chlorine dioxide vapor. As no studies directly assessing no touch modalities for SARS CoV 2 are likely to exist yet, we undertook a rapid review of no touch modalities for disinfection of respiratory viral pathogens in patient rooms in hospital/acute care settings. We will also include studies reporting the impact of these modalities on Clostridiodes (formerly Clostridium) difficile (CDI) spores and infection, as a hospital acquired infection that is easily transmitted to surfaces and difficult to eradicate, as a cleaning modality that is effective against CDI is likely to also be effective against CoV2.
Table 1. Proposed PICOS Elements
|PICOS Element||Potential Strategies To Address Sparse Data|
|Intervention/Exposure||No touch modalities for cleaning/disinfection:
||We may consider additional no touch modalities for cleaning/disinfection|
|Comparator/Control||Any comparator, no comparator (e.g. control)||-----|
||We may consider including studies that used test cards on the viruses of interest in hospital settings and studies that created artificial contamination by inoculating surfaces in hospital rooms.|
|Setting||Patient Rooms in Hospital or Acute Care Setting|
We will search for systematic reviews and primary studies that address the research questions. We will search Pubmed and Embase from 2010 onwards. For searches of cleaning/disinfection of Severe Acute Respiratory Syndrome (SARS), we will search from 2000 onwards. Searches will focus on primary studies, but we will use systematic reviews to identify additional primary studies.
Our gray literature search will include links to manufacturers of no-touch technologies, relevant clinical practice guidelines, and safety information. We will also search Clinicaltrials.gov for ongoing studies.
We will assess primary studies to see if these meet our inclusion criteria. If we encounter sparse data, we may revise inclusion criteria (see Table 1, Column 3).
- English language published full-full length studies
- All empiric study types: including randomized controlled trials, quasi-randomized controlled trials, cohort studies, other observational studies, pre/post studies
- Studies assessing no-touch intervention(s) of interest for cleaning or disinfection of patient rooms in hospital/acute care settings
- Studies reporting outcomes of surface contamination or patient infection rates for respiratory viruses, specifically: Adenovirus, coronaviruses, influenza, middle Eastern respiratory syndrome (MERS), respiratory syncytial virus (RSV), rhinovirus, severe acute respiratory syndrome (SARS)
- Laboratory studies
- Studies performed in the ambulatory settings
- Conference abstracts, editorials, case studies
Data Extraction (Selection and Coding)
Abstract and title review, full text review, and abstraction will be performed by two analysts with experience in performing rapid reviews and topic expertise. Areas of disagreement will be resolved by discussion.
Data extraction will be performed by a single analyst. Categories will include author, year, country, study design, interventions, comparators, results, and authors’ conclusions.
Risk of Bias (Quality) Assessment
Study quality will not be formally assessed. However, a description and summary of study limitations including key aspects of study design and conduct will be provided.
Strategy for Data Synthesis
Data will be compiled into evidence tables with a high level narrative synthesis (including evidence for efficacy) and discussion of limitations in the evidence base. No formal grading of strength of evidence will be performed.
External Peer Review: we will have at least two experts review the draft report.