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Interventions to improve hand hygiene compliance in patient care

2010· reference-entry· en· W4252631981 on OpenAlexaff
Dinah Gould, Donna Moralejo, Nicholas Drey, Jane Chudleigh

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2010
Typereference-entry
Languageen
Field
Topic
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineHygieneCINAHLMEDLINEPsychological interventionData extractionRandomized controlled trialHealth careFamily medicineNursingSurgery

Abstract

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BACKGROUND: Health care-associated infection is a major cause of morbidity and mortality. Hand hygiene is regarded as an effective preventive measure. OBJECTIVES: To update the review done in 2007, to assess the short and longer-term success of strategies to improve hand hygiene compliance and to determine whether a sustained increase in hand hygiene compliance can reduce rates of health care-associated infection. SEARCH STRATEGY: We conducted electronic searches of: the Cochrane Central Register of Controlled Trials; the Cochrane Effective Practice and Organisation of Care Group specialised register of trials; MEDLINE; PubMed; EMBASE; CINAHL; and the BNI. Originally searched to July 2006, for the update databases were searched from August 2006 until November 2009. SELECTION CRITERIA: Randomised controlled trials, controlled clinical trials, controlled before and after studies, and interrupted time series analyses meeting explicit entry and quality criteria used by the Cochrane Effective Practice and Organisation of Care Group were eligible for inclusion. Studies reporting indicators of hand hygiene compliance and proxy indicators such as product use were considered. Self-reported data were not considered a valid measure of compliance. Studies to promote hand hygiene compliance as part of a care bundle approach were included, providing data relating specifically to hand hygiene were presented separately. Studies were excluded if hand hygiene was assessed in simulations, non-clinical settings or the operating theatre setting. DATA COLLECTION AND ANALYSIS: Two reviewers independently extracted data and assessed data quality. MAIN RESULTS: Four studies met the criteria for the review: two from the original review and two from the update. Two studies evaluated simple education initiatives, one using a randomized clinical trial design and the other a controlled before and after design. Both measured hand hygiene compliance by direct observation. The other two studies were both interrupted times series studies. One study presented three separate interventions within the same paper: simple substitutions of product and two multifaceted campaigns, one of which included involving practitioners in making decisions about choice of hand hygiene products and the components of the hand hygiene program. The other study also presented two separate multifaceted campaigns, one of which involved application of social marketing theory. In these two studies follow-up data collection continued beyond twelve months, and a proxy measure of hand hygiene compliance (product use) was recorded. Microbiological data were recorded in one study. Hand hygiene compliance increased for one of the studies where it was measured by direct observation, but the results from the other study were not conclusive. Product use increased in the two studies in which it was reported, with inconsistent results reported for one initiative. MRSA incidence decreased in the one study reporting microbiological data. AUTHORS' CONCLUSIONS: The quality of intervention studies intended to increase hand hygiene compliance remains disappointing. Although multifaceted campaigns with social marketing or staff involvement appear to have an effect, there is insufficient evidence to draw a firm conclusion. There remains an urgent need to undertake methodologically robust research to explore the effectiveness of soundly designed and implemented interventions to increase hand hygiene compliance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.008

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 head0.117
GPT teacher head0.380
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

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

Citations175
Published2010
Admission routes1
Has abstractyes

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