An Investigation of the Impact of Expanding High-Deductible Health Plans on Patient Decision for Cochlear Implant Surgery and Postoperative Outcomes
Bibliographic record
Abstract
HYPOTHESIS: After the expansion of high deductibles, patients will delay cochlear implant (CI) surgery to the end of the year, and the risk of postoperative known risks will increase. BACKGROUND: The Affordable Care Act was associated with increased enrollment in high-deductible health plans (HDHPs), which resulted in rising health insurance deductibles. Health insurance plans can cover a patient's cost of healthcare once the deductible is met. Patients have been shown to be economic rational decision makers and make decisions based on cost rather than health. They wait for their deductible to be met, typically at the end of the year, then proceed to have costly care. The goal of this study was to evaluate the impact of rising health insurance deductibles on the rate and postoperative outcomes of cochlear implantation and to assess changes by the Tax Cuts and Jobs Act. METHODS: TriNetX was used to accumulate summary data on patients who obtained a CI between 2005 and 2022 at the beginning (quarter 1) and the end of the year (quarter 4) from the electronic medical records of 75 healthcare organizations. The trends in average rate of cochlear implantation and resultant postoperative known risks or complications were statistically evaluated. RESULTS: After expansion of HDHPs, the rate of cochlear implantation between quarter 4 (19 cases per year) and quarter 1 (17 cases/year) was similar (p = 0.18). For all patient groups, the case volume significantly increased. Between quarter 4 and quarter 1, postoperative tinnitus was more common in the beginning of the year (risk ratio, 0.68; 95% confidence interval, 0.46-0.99). CONCLUSIONS: The number of patients receiving CIs significantly increased despite the expansion of HDHPs. Tinnitus was a rare postoperative known risk in the beginning of the year. Patients are less likely concerned about cost of CI surgery because of the impact of hearing loss on quality of life.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".