Consumer Understanding and Satisfaction Associated With a 3-Tier Prescription Drug Benefit
Bibliographic record
Abstract
OBJECTIVE: The purpose of this research was to investigate consumer understanding and satisfaction associated with a 3-tier prescription drug benefit among users of the prescription drug benefit. METHODS: This study involved a self-administered postal questionnaire and the use of prescription drug claims to evaluate utilization of prescription medications. Fifteen hundred subjects were randomly selected based on the following inclusion criteria. Each subject had to (1) be enrolled in a 3-tier copayment ($10 generic, $20 formulary brand, $35 nonformulary brand) prescription drug benefit; (2) be the primary beneficiary (cardholder); (3) be >18 years of age; (4) have received at least 1 prescription medication using his or her prescription drug insurance; and (5) have a mailing address on file. RESULTS: A total of 479 usable responses were returned (35% response rate). The mean (SD) understanding score was 2.22 (1.54) (range: 0 to 6). Fewer than 1% of respondents correctly answered all 6 items used to measure the level of understanding. The mean (SD) satisfaction score was 54.32 (19.69) (range: 0 to 100). Experience with purchasing a medication within a particular copayment tier was predictive of correctly answering the item related to that tier.s copayment amount. Multiple regression analysis revealed a relationship between the amount of use of the drug benefit and the degree of satisfaction with the drug benefit. There was no significant relationship between the level of understanding and the degree of satisfaction with prescription drug insurance. CONCLUSION: The average level of beneficiary understanding of the 3-tier copayment prescription drug benefit was very low, and the average degree of respondent satisfaction appeared to be near neutral. There was no significant relationship between the level of understanding and the degree of satisfaction with prescription drug benefits. The level of understanding was proportional to the amount of drug benefit use, but the degree of satisfaction was not related to the amount of drug benefit use.
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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".