Variation in influenza vaccine assessment, receipt, and refusal by the concentration of Medicare Advantage enrollees in U.S. nursing homes
Bibliographic record
Abstract
ABSTRACT Background More older adults enrolled in Medicare Advantage (MA) are entering nursing homes (NHs), and MA concentration could affect vaccination rates through shifts in resident characteristics and/or payer related influences on preventive services use. We investigated whether rates of influenza vaccination and refusal differ across NHs with varying concentrations of MA-enrolled residents. Methods We analyzed 2014-2015 Medicare enrollment data and Minimum Data Set clinical assessments linked to NH-level characteristics, star ratings, and county-level MA penetration rates. The independent variable was the percentage of residents enrolled in MA at admission and categorized into three groups. We examined three NH-level outcomes: percentage of residents assessed and appropriately provided the influenza vaccine, receiving influenza vaccine, and refusing influenza vaccine. Results There were 936,513 long-stay residents in 12,384 NHs. Categories for the prevalence of MA enrollment in NHs were low (0% to 3.3%; n=4131 NHs), moderate (3.4% to 18.6%; n=4127 NHs) and high (>18.6%; n=4126 NHs). Adjusting for covariates, influenza vaccination rates among long-stay residents were higher in NHs with moderate (1.7%, P <0.0001), or high (3.1%, P <0.0001) MA versus the lowest prevalence of MA. Influenza vaccine refusal was lower in NHs with moderate (−3.1%, P <0.0001), or high (−4.6% P <0.0001) MA compared with NHs with the lowest prevalence of MA. Among 753,616 short-stay residents in 12,205 NHs, there was no association between MA concentration and influenza vaccination receipt but vaccine refusal was greater in NHs with higher MA prevalence (high or moderate vs. low MA: 5.2%, P <0.0001). Conclusion The relationship between MA concentration and influenza vaccination measures varied among post-acute and long-term NH residents. As MA takes a larger role in the Medicare program, and more MA beneficiaries enter NHs, there is need to consider how managed care can be leveraged to improve the delivery of preventive services such as influenza vaccinations in NH settings.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".