Bibliographic record
Abstract
LOCAL PROBLEM: Variations in nursing practice were observed across our hospital, a 520-bed acute care teaching facility in the northeast United States, regarding the timing and frequency of insulin administration in adult patients with diabetes. Chart audits noted that RNs administered insulin more than one hour after blood glucose results were obtained 97% of the time. In addition, insulin was given at bedtime only 37% of the time. PURPOSE: The purpose of this quality improvement (QI) project was to improve the care of inpatients requiring insulin by implementing protocols and adjusting practice to align with best practice recommendations. METHODS: The clinical nurse education specialist met with a team of staff nurses, providers, nurse leaders, and patient care technicians (PCTs) to formulate protocols and design interventions to ensure improvements in the quality of care for inpatients with diabetes. A sequence of education sessions and an online learning module were developed and assigned to nurses and PCTs to address knowledge gaps, specifically in the pharmacodynamics and safe administration of insulin, as well as how best to provide care to patients with diabetes. Monthly adherence data were disseminated to nurse leaders and educators and reviewed with clinical staff at daily safety huddles and staff meetings. Additional interventions to enhance nursing practice in caring for patients with diabetes included ensuring both bedtime insulin administration and timely insulin delivery. This project began in May 2017 and ended five years later. RESULTS: Two weeks after initial education sessions began in May and June 2017, the frequency of giving bedtime insulin based on the order set and according to the patient's blood glucose levels rose from 37% to 82%, and adherence to best practice protocols continued until final chart audits were performed in May 2022. The frequency of giving insulin less than one hour after obtaining blood glucose results improved from 3% to 64% between October and December 2019, and increased to a sustained level above the project's 92% goal two years later. CONCLUSION: Protocol development, targeted education, and audits with feedback led to improved care delivery for patients requiring insulin and increased nursing confidence.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".