Evidence map›Paper›PMID 39899293›Full record

ArticleJAMA network open2025

Supporting Primary Care for Medically and Socially Complex Patients in Medicaid Managed Care.

Arlene S Ash, Matthew J Alcusky, Randall P Ellis, Meagan J Sabatino, Frances E Eanet, Eric O Mick

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Arlene S AshDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.
Matthew J AlcuskyDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.
Randall P EllisDepartment of Economics, Boston University, Boston, Massachusetts.
Meagan J SabatinoDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.
Frances E EanetDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.
Eric O MickDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In 2023, the Massachusetts Medicaid and Children's Health Insurance Program (MassHealth) required accountable care organizations (ACOs) to increase payments to primary care practices and shift to monthly payments, currently calibrated to historical revenues and enhanced practice capabilities, such as being staffed to address behavioral health needs. To prevent rewarding practices for avoiding difficult patients, future payments to primary care practices should reflect their patients' apparent need. Objective: To describe MassHealth's initiative and a complexity-adjusted payment model. Design, Setting, and Participants: This cross-sectional study of payment model development and performance was conducted between February 2022 and November 2024. Participants included all 2019 Massachusetts Medicaid managed-care eligible members who were enrolled for 183 days or longer. Exposures: Medical and social complexity. Main Outcomes and Measures: For each member, the primary care activity level (PCAL) outcome proxies the resources that primary care clinicians need to provide comprehensive, coordinated care. Models were evaluated via R2 and through ratios of observed-to-expected (ie, estimated by the model) outcomes for selected subgroups, which will be approximately 1.0 when payments and expected costs are well matched. The implications of paying practices using PCAL (vs a model based only on age and sex) were explored by examining financial and practice-level characteristics in high and low deciles of practice-level estimated mean. Results: Among 1 092 742 MassHealth members enrolled in 3602 primary care practices (1 014 252 person-years; mean [SD] age, 25.9 [18.4] years; 538 065 [53.1%] female), the PCAL model achieved R2 = 69.6% and estimates within 10% of observed PCAL spending for high-risk populations (mental health disorders, substance use disorders, complex chronic conditions, and disabilities) and across racial and ethnic groups. Age-adjusted and sex-adjusted payments would overpay practices in the lowest-need decile by 10% and underpay those in the highest-need decile by 34%, while the PCAL model would match payment to estimated need almost exactly in the lowest decile and underpay by just 6% in the highest decile. Conclusions and Relevance: MassHealth's 2023 reform invests in primary care. This cross-sectional study developed a risk model that can adjust primary care payments to patient needs. Neither age and sex adjustments nor inflated historical payments would provide adequate resources to primary care practices caring for the most complex patients.

Indexed as

Accountable Care OrganizationsManaged Care ProgramsMedicaidPrimary Health CareAdolescentAdultChildCross-Sectional StudiesFemaleHumansMaleMassachusettsMiddle AgedUnited StatesYoung Adult

Identifiers

PMID39899293
PMCPMC11791707

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.