The Utility of Interaction Design as a Novel Tool to Improve Hand Hygiene Frequency on a Pediatric Hematology-Oncology Ward
Bibliographic record
Abstract
Johanna Blaak, W21C, University of Calgary; Rachel DiMaio, University of Calgary; Julia Kupis, University of Calgary; Ross Sweetzir, Cisco Systems; Conny Betuzzi, Alberta Children’s Hospital, Alberta Health Services; Corey Dowler, Alberta Children’s Hospital, Alberta Health Services; Krista McIntytre, Alberta Children’s Hospital, Alberta Health Services; Jaime Kaufman, University of Calgary; Greg Hallihan, University of Calgary; John Conly, Foothills Medical Centre; Joseph Vayalumkal, Alberta Childrens Hospital Background: Interaction design offers a novel interventional strategy to enhance hand-hygiene compliance (HHC) and reduce hospital-acquired infections (HAIs) in the pediatric setting. A quality improvement initiative in collaboration with the University of Calgary and Alberta Health Services led to the implementation of a pilot project with sensor-embedded alcohol -based hand rub (ABHR) dispensers at a hematology-oncology and hematopoietic stem cell transplant unit at Alberta Children’s Hospital (ACH). Methods: Internet of things (IoT) sensors were installed in ABHR dispensers (n = 3) on the unit. Usage data were transmitted to a local server using an MQTT messaging protocol for 16 weeks. Real-time data visualization was presented on a central display next to the nursing station with 11 unique pediatric themes including dinosaurs, transportation, and Canadian animals. Data were collected with and without visualization, and frequency of use (FoU) was determined for both periods. Qualitative interviews with unit stakeholders (n = 13) were held to determine perceptions of the intervention. Results: During the first 8 weeks of the study period, the mean daily use without visualization was 47 times (SD, 14.5) versus 99 times (SD, 23.9) with visualization. When accounting for novelty, by removing the first week of data, the mean daily use was 92 (SD 19.6). The percentage increase from period 1 to period 2 was 96.6%, accounting for novelty. Qualitative interviews with stakeholders (n = 13) on the unit indicated that the intervention increased their personal awareness of hand hygiene (75%) and acted as a constant reminder to perform hand hygiene for everyone on the unit including nonclinical staff, patients, and family members (92%). Conclusions: These limited data suggest that interaction design may improve HH frequency and show promise as a tool for increased HH awareness and education. Interaction design provides a unique, innovative, and acceptable hand hygiene improvement strategy for staff, patients, and families in the pediatric inpatient setting. Funding: None Disclosures: None
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How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".