MétaCan
Menu
Back to cohort
Record W4415288286 · doi:10.1200/op-24-01056

Changes in Medicaid Enrollment Among Adult Survivors of Childhood Cancer After Medicaid Expansion: A Report From the Childhood Cancer Survivor Study

2025· article· en· W4415288286 on OpenAlexaff
Xu Ji, Xin Hu, Paul C. Nathan, Wendy M. Leisenring, Gregory T. Armstrong, Sharon M. Castellino, Anne C. Kirchhoff

Bibliographic record

VenueJCO Oncology Practice · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute on Minority Health and Health DisparitiesNational Cancer Institute
KeywordsMedicaidChildhood cancerSocioeconomic statusYoung adultCancerCancer survivorPediatric cancer

Abstract

fetched live from OpenAlex

PURPOSE Little is known about whether Medicaid expansion under the Affordable Care Act affects insurance coverage among adult survivors of childhood cancer, a high-risk population requiring lifetime follow-up care. We examined the association of Medicaid expansion with Medicaid enrollment among participants in the Childhood Cancer Survivor Study. METHODS We identified 13,355 adult survivors (age 18-64 years) diagnosed with cancer at age <21 years between 1970 and 1999 and linked these survivors to Medicaid administrative data from 2010 to 2019. Outcomes included the percentage of survivors with any Medicaid enrollment and Medicaid-covered days (total number of days when a survivor was enrolled in Medicaid) each year. Multivariable difference-in-differences (DD) models were used to examine outcome changes (post- v pre-expansion) in expansion versus nonexpansion states. RESULTS Medicaid enrollment rates among survivors increased in expansion states (17.1% pre-expansion to 22.8% postexpansion) but decreased in nonexpansion states (16.6%-15.7%), leading to a net increase of 7.1 percentage points (ppts; 95% CI, 6.1 to 8.1). The DD model also showed a net mean increase of 18.7 days/year (95% CI, 15.0 to 22.4) in Medicaid-covered days in expansion relative to nonexpansion states. The expansion-associated increase in enrollment was greatest among survivors who were age 18-29 years (11.2 ppts; 95% CI, 8.3 to 14.1), non-Hispanic Black (13.6 ppts, 95% CI, 8.8 to 18.4) or Hispanic (13.4 ppts, 95% CI, 7.0 to 19.8), with <$20K in US dollars (USD) self-reported household income (13.5 ppts, 95% CI, 10.7 to 16.3), and noncollege graduates (9.3 ppts, 95% CI, 7.7 to 10.9). Similar patterns were observed when examining Medicaid-covered days. CONCLUSION To our knowledge, we provide the first evidence of increased Medicaid enrollment and longer coverage duration among adult survivors of childhood cancer after Medicaid expansion. Greater increases were seen among survivors from underrepresented racial/ethnic backgrounds, young adult survivors, and those with lower socioeconomic status, providing a mechanism to reduce disparities and ensure long-term medical care for childhood cancer survivors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.026
GPT teacher head0.335
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJCO Oncology PracticeSame topicHealthcare Policy and ManagementFrench-language works237,207