Access to Breathing Medications in an Uninsured and Underinsured Patient Population
Bibliographic record
Abstract
The purpose of this study was to explore access to breathing medications in an uninsured and underinsured patient population and identify needs for additional medication access resources. Quantitative data were collected from a dispensing report, financial database, and medical records review of patients who filled prescription medications at a charitable pharmacy in Ohio between December 11, 2014 and March 11, 2015, and qualitative data were collected from five semi-structured interviews with patients regarding breathing medication access. A total of 181 patients filled a breathing medication during the study period, which is nearly a quarter of the pharmacy’s patient population. The majority of patients were African American or Caucasian, and almost half were uninsured. Ultimately, the pharmacy had to purchase nearly half of breathing medications provided despite utilizing several medication access routes. Thus, access remains a significant challenge. Efforts are needed to ensure that vulnerable populations can consistently access breathing medications.
 
 Type: Clinical Experience
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".