--- name: ma-margin-normalization description: > This skill should be used when the user asks about "Medicare Advantage margins", "MLR", "Star Ratings", "MA enrolment", "risk adjustment", "MedPAC benchmark", "payor margin normalisation", "value-based care economics", or is modelling a managed-care name. Anchors prompt-library IDs SUB-SVC-03 and SUB-SVC-04. metadata: version: "0.1.0" layer: "Financial" --- # MA margin normalisation Normalise a managed-care name's reported margin against open enrolment, Star Ratings and MedPAC benchmark data, so that the reported MLR can be read for what it actually contains. ## Workflow 1. **Build the enrolment picture.** Monthly CMS MA enrolment files by contract, plan and county (`scripts/ma_enrollment.py`). Compute growth, and growth *mix*: which counties, which plan types (HMO, PPO, D-SNP, C-SNP), and which competitor lost the members. Special-needs-plan growth carries a different margin and acuity profile from general-enrolment growth and must be tracked separately. 2. **Layer Star Ratings.** Published each October, they determine quality bonus payments two years forward. A rating change is therefore a *dated, known* revenue event with a two-year lead — one of the cleanest forward-looking data points in the sector. Map the rating change to the share of membership in affected contracts, not to the headline company rating. 3. **Normalise the margin.** MedPAC publishes benchmark, bid and payment analysis for MA against fee-for-service spending. Use it to separate: - margin from **rate** (benchmarks, county rebasing, quality bonus), - margin from **risk-score coding intensity**, - margin from **actual medical management**. Only the third is durable, and it is the smallest of the three at most plans. 4. **Read the reserve development.** Reported MLR is a ratio containing prior-period reserve development. Read the development table in the 10-K rather than the ratio. Favourable development in consecutive years is the sector's most common source of flattering MLR. Route the accounting question to `sec-forensics` → edgar-forensics. 5. **Watch the policy calendar** through a reimbursement engine: the annual Advance Notice and Rate Announcement (February and April), risk-model changes, and RADV audit methodology. These reset the whole industry's economics at fixed dates. 6. **For vertically integrated names**, test whether margin is being shifted between the plan and the owned provider or pharmacy assets. Segment-level margin plus intersegment eliminations is where this shows; a consolidated MLR hides it entirely (SUB-SVC-03). 7. **For value-based care exposure**, identify the contract form — upside-only, two-sided risk, or full capitation — because the earnings quality differs completely between them (SUB-SVC-04). 8. Emit the brief. ## Not-automatic Enrolment growth does not license a margin conclusion. Growth bought with benefit richness is negative-margin growth, and the benefit design is in the plan filings, not in the enrolment file. Framework anchors: Kongstvedt, *Health Insurance and Managed Care*; MedPAC annual reports; Porter and Teisberg, and Christensen, for the value-based-care framing. Reference: `references/ma-mechanics.md`. Contract: `../../references/evidence-brief.md`.