The Triple Aim Quality Improvement Gold Standard Illustrated as Extremely Premature Infant Care
Bibliographic record
Abstract
OBJECTIVES: The Triple Aim is widely regarded as the quality improvement gold standard that enhances population health, lowers costs, and betters individual care. There have been no large-scale, sustained demonstrations of such improvement in healthcare. Illustrating the Triple Aim using relevant extremely premature infant outcomes might highlight interwoven proficiency and efficiency complexities that impede sustained value progress. STUDY DESIGN: -week infants using three surrogate measures: (1) population health/x-axis-eight major morbidity rates as a composite, risk-adjusted metric; (2) cost/y-axis-total hospital length of stay; and (3) individual care/z-axis-mortality, then illustrated this relationship as a sphere within a three-dimensional cube. RESULTS: Three thousand seven hundred six infants born between January 1, 2014 and December 31, 2019, with mean (standard deviation) gestational age of 25.7 (1.4) weeks and birth weight of 803 (208) grams were analyzed. Triple Aim three-axis cube positions varied inconsistently comparing NICUs. Each NICUs' sphere illustrated mixed x- and z-axis movement (clinical proficiency), and y-axis movement (cost efficiency). No NICU demonstrated the theoretically ideal Triple Aim improvement in all three axes. Backward movement in at least one axis occurred in eight NICUs. The whole-group Triple Aim sphere moved forward along the x-axis (better morbidities metric), but moved backward in the y-axis length of stay and z-axis mortality measurements. CONCLUSION: Illustrating the Triple Aim gold standard as extreme prematurity outcomes reveals complexities inherent to simultaneous attempts at improving interwoven quality and cost outcomes. Lack of progress using relevant Triple Aim parameters from our well-established collaboration highlights the difficulties prioritizing competing outcomes, variable potentially-better-practice applications amongst NICUs, unmeasured biologic interactions, and obscured cultural-environmental contexts that all likely affect care. Triple Aim excellence, if even remotely possible, will necessitate scalable, evidence-based methodologies, pragmatism regarding inevitable trade-offs, and wise constrained-resource decisions. KEY POINTS: · The Triple Aim gold standard is elusive. There is no demonstration of sustained, large-scale success in healthcare and our quality improvement network has previously published benchmark extreme prematuritymorbidity improvements.. · Extreme prematurity outcomes illustrated as the Triple Aim show uneven results in relevant surrogate parameters and Triple Aim achievement, if even possible, will necessitate evidence-based methodologies that are scalable.. · Pragmatism, inevitable trade-offs, and wise constrained-resource decisions are required for Triple Aim success..
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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 | 0.016 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| 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".