Designing behavioral interventions using the capability-opportunity-motivation-behavior model and the theoretical domains framework to optimize oxygen saturation maintenance by NICU providers
Bibliographic record
Abstract
Objective Despite evidence-based guidelines, SpO~2~ maintenance-related practices of care providers remain inconsistent. Our aim was to evaluate the impact of interprofessional learning workshops, bedside coaching, and neonatal intensive care unit (NICU) level enablers on targeted behavioral change of NICU staff, focusing on SpO~2~ maintenance. Methods NICU is a specialized area of the hospital with sophisticated monitors where multidisciplinary staff provide round-the-clock care for sick and preterm infants. As a subset of a quality improvement project to improve SpO~2~ maintenance and reduce desaturation events, three targeted evidence-based staff behaviors were deemed as important based on established capability-opportunity-motivation-behavior and theoretical domains framework models: setting SpO~2~ alarm limits, using SpO~2~ alarm management algorithms, and reporting daily summaries of SpO~2~ during rounds. We conducted interprofessional workshops, provided bedside coaching, and altered unit NICU processes (guidelines, automated SpO~2~ histogram printouts, defined staff standard work) and measured demonstrable changes in staff reaction, learning, and behaviors by direct observation of behaviors and survey questionnaires. Results Two hundred and seventy-five (87%) and 210 (80%) of NICU staff attended workshops and received bedside coaching, respectively. The proportion of staff expressing satisfaction with workshop and bedside coaching was 85% and 82%, respectively. The proportion of staff reporting improvement in their knowledge and confidence related to SpO~2~ maintenance increased significantly following the workshop. Targeted behaviors related to SpO~2~ maintenance like setting appropriate alarm limits, adhering to SpO~2~ management algorithm, and reporting daily SpO~2~ summaries during rounds increased from 80% to 96%, 0% to 64%, and 20% to 70%, respectively. Conclusion Focused behavioral change interventions aimed at improving staff capability, opportunity, and motivation resulted in a demonstrable change in targeted staff behaviors related to SpO~2~ maintenance. Further research is needed to establish ways of optimizing intended staff behaviors while implementing care bundles in a given setting.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".