Cesarean Delivery Rates and Costs of Childbirth in a State Medicaid Program After Implementation of a Blended Payment Policy
Bibliographic record
Abstract
BACKGROUND: Nearly half of US births are financed by Medicaid, and one-third of births occur by cesarean delivery, at double the cost of vaginal delivery. With the goal of reducing unnecessary cesarean use and improving value, in 2009 Minnesota's Medicaid program introduced a blended payment rate for uncomplicated births (ie, a single facility or professional services payment regardless of delivery mode). OBJECTIVE: We evaluated the effect of the blended payment policy on cesarean use and costs for Medicaid fee-for-service births. METHODS: We identified births in Medicaid Analytic Extract files from 3 years before and after the 2009 payment change in Minnesota and in 6 control states. We used a quarterly interrupted time series approach to assess policy-related changes in study outcomes, comparing Minnesota to control states. Outcomes included cesarean delivery, childbirth hospitalization costs, and maternal morbidity. RESULTS: Minnesota's prepolicy cesarean rate (22.8%) decreased 0.27 percentage points per quarter after the policy for a total decrease of 3.24 percentage points, compared with control states (P=0.01). The cost of childbirth hospitalizations in Minnesota dropped by $425.80 at the time of the policy. Postpolicy, childbirth hospitalization costs continued to decrease in Minnesota relative to prepolicy by $95.04 per quarter, and declined more than control states (P<0.001). There were no significant policy effects on maternal morbidity. CONCLUSIONS: Implementation of a single, blended payment to facilities and clinicians for uncomplicated births mitigated trends toward greater use of cesarean and rising costs of childbirth hospitalization, without adverse effects on maternal morbidity.
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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) | 0.001 | 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".