Adherence, Healthcare Resource Utilization, and Costs in Medicaid Beneficiaries with Schizophrenia Transitioning from Once-Monthly to Once-Every-3-Months Paliperidone Palmitate
Bibliographic record
Abstract
OBJECTIVES: The aim was to compare adherence to antipsychotics (APs), healthcare resource utilization (HRU), and costs before and after once-every-3-months paliperidone palmitate (PP3M) initiation in patients with schizophrenia. METHODS: Medicaid data (Iowa, Kansas, and Missouri; 1/2014-3/2017) were used to identify adults with at least one PP3M claim, ≥ 12 months of pre-index enrollment, and at least two schizophrenia diagnoses. Adequate treatment with once-monthly paliperidone palmitate (PP1M) was required pre-PP3M transition. Generalized estimating equations were used to assess linear trends in adherence to APs, HRU, and costs over the four quarters pre-PP3M transition, and to compare monthly HRU and costs 6 months pre- and 12 months post-PP3M transition as well as adherence to APs 12 months pre- and post-PP3M transition. RESULTS: Among 324 patients initiated on PP3M, the mean age was 41.4 years and 36.1% were females. Over the four quarters pre-PP3M transition, the monthly number of emergency room visits, medical costs, and inpatient costs decreased, while pharmacy costs and adherence to APs increased. For patients with ≥ 12 months of follow-up (n = 151), adherence to APs (66.2 vs. 70.2%, p = 0.3758), total (US$3371 vs. US$3456; p = 0.7000), pharmacy (US$1805 vs. US$1870; p = 0.2960), and medical costs (US$1565 vs. US$1586; p = 0.9040) remained similar pre- and post-PP3M transition, while mean monthly number of 1-day mental institute visits (1.71 vs. 1.51; p < 0.01) and associated costs (US$260 vs. US$232, p = 0.01) decreased. CONCLUSIONS: Adherence to APs, HRU, and costs were similar pre- and post-PP3M transition, suggesting that PP3M has no impact on monthly costs for patients adequately treated with PP1M, with the added flexibility of once-every-3-months dosing.
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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) | 0.001 | 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".