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Record W3016747460 · doi:10.1101/2020.04.14.20065250

Physical interventions to interrupt or reduce the spread of respiratory viruses. Part 2 - Hand hygiene and other hygiene measures: systematic review and meta-analysis

2020· preprint· en· W3016747460 on OpenAlexaff
Lubna A. Al‐Ansary, Ghada Bawazeer, Elaine Beller, Justin Clark, John Conly, Chris Del Mar, Elizabeth Dooley, Eliana Ferroni, Paul Glasziou, Tammy Hoffmann, Tom Jefferson, Sarah Thorning, Mieke van Driel, Mark Jones

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsMedicineHygieneRelative riskPsychological interventionMeta-analysisRandomized controlled trialSystematic reviewConfidence intervalMEDLINEPhysical therapyInternal medicineNursingPathology

Abstract

fetched live from OpenAlex

Abstract OBJECTIVE To assess the effectiveness of hand hygiene, surface disinfecting, and other hygiene interventions in preventing or reducing the spread of illnesses from respiratory viruses. DESIGN Update of a systematic review and meta-analysis focussing on randomised controlled trials (RCTs) and cluster-RCTs (c-RCTs) evidence only. DATA SOURCES Eligible trials from the previous Cochrane review, search of the Cochrane Central Register of Controlled Trials, PubMed, Embase and CINAHL from 01 October 2010 to 01 April 2020, and forward and backward citation analysis of included studies. DATA SELECTION RCTs and c-RCTs involving people of any age, testing the use of hand hygiene methods, surface disinfection or cleaning, and other miscellaneous barrier interventions. Face masks, eye protection, and person distancing are covered in Part 1 of our systematic review. Outcomes included acute respiratory illness (ARI), influenza-like illness (ILI) or laboratory-confirmed influenza (influenza) and/or related consequences (e.g. death, absenteeism from school or work). DATA EXTRACTION AND ANALYSIS Six authors working in pairs independently assessed risk of bias using the Cochrane tool and extracted data. The generalised inverse variance method was used for pooling by using the random-effects model, and results reported with risk ratios (RR) and 95% confidence intervals (CIs). RESULTS We identified 51 eligible trials. We included 25 randomised trials comparing hand hygiene interventions with a control; 15 of these could be included in meta-analyses. We pooled 8 trials for the outcome of ARI. Hand hygiene showed a 16% relative reduction in the number of participants with ARI (RR 0.84, 95% CI 0.82 to 0.86) in the intervention group. When we considered the more strictly defined outcomes of ILI and influenza, the RR for ILI was 0.98 (95% CI 0.85 to 1.14), and for influenza the RR was 0.91 (95% CI 0.61 to 1.34). Three trials measured absenteeism. We found a 36% relative reduction in absentee numbers in the hand hygiene group (RR 0.64, 95% CI 0.58 to 0.71). Comparison of different hand hygiene interventions did not favour one intervention type over another. We found no incremental effects of combining hand hygiene with using face masks or disinfecting surfaces or objects. CONCLUSIONS Despite the lack of evidence for the impact of hand hygiene in reducing ILI and influenza, the modest evidence for reducing the burden of ARIs, and related absenteeism, justifies reinforcing the standard recommendation for hand hygiene measures to reduce the spread of respiratory viruses. Funding for relevant trials with an emphasis on adherence and compliance with such a measure is crucial to inform policy and global pandemic preparedness with confidence and precision.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.044
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0290.035
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.211
GPT teacher head0.393
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2020
Admission routes1
Has abstractyes

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