Interventions to Improve Hand Hygiene Compliance in the ICU: A Systematic Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To synthesize the literature describing interventions to improve hand hygiene in ICUs, to evaluate the quality of the extant research, and to outline the type, and efficacy, of interventions described. DATA SOURCES: Systematic searches were conducted in November 2016 using five electronic databases: Medline, CINAHL, PsycInfo, Embase, and Web of Science. Additionally, the reference lists of included studies and existing review papers were screened. STUDY SELECTION: English language, peer-reviewed studies that evaluated an intervention to improve hand hygiene in an adult ICU setting, and reported hand hygiene compliance rates collected via observation, were included. DATA EXTRACTION: Data were extracted on the setting, participant characteristics, experimental design, hand hygiene measurement, intervention characteristics, and outcomes. Interventional components were categorized using the Behavior Change Wheel. Methodological quality was examined using the Downs and Black Checklist. DATA SYNTHESIS: Thirty-eight studies were included. The methodological quality of studies was poor, with studies scoring a mean of 8.6 of 24 (SD= 2.7). Over 90% of studies implemented a bundled intervention. The most frequently employed interventional strategies were education (78.9%), enablement (71.1%), training (68.4%), environmental restructuring (65.8%), and persuasion (65.8%). Intervention outcomes were variable, with a mean relative percentage change of 94.7% (SD= 195.7; range, 4.3-1155.4%) from pre to post intervention. CONCLUSIONS: This review demonstrates that best practice for improving hand hygiene in ICUs remains unestablished. Future research employing rigorous experimental designs, careful statistical analysis, and clearly described interventions is important.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it