The effect of a cancer diagnosis on disability status
Notice bibliographique
Résumé
6531 Background: Although cancer and cancer treatments may lead to an inability to work, working-age adults eligible for Medicare benefits on the basis of disability face a 29-month waiting period between initial application due to disability and enrollment in the program. In this study we evaluated patterns of Medicare enrollment for working-age adults with cancer and determined factors predicting enrollment. Methods: The Surveillance, Epidemiology, and End Results (SEER) and SEER-Medicare data were used for this retrospective cohort analysis. We included patients age 21 to 59 diagnosed with lung, prostate, colorectal, and breast cancer (female) cases from 1992 through 2002. Patients were followed until 2005 or death. We constructed line plots of time from cancer diagnosis to enrollment in Medicare due to disability, anticipating a spike in enrollment around 29 months post-diagnosis. We compared demographic and tumor characteristics in the disabled to the all similarly aged patients included in SEER. We used logistic regression to determine factors associated with enrollment in Medicare due to disability 29 to 35 months post-diagnosis including demographic characteristics, stage at diagnosis, and type of surgical treatment. Results: We identified 359,049 working-age adults who were diagnosed with prostate, lung, colorectal, or female breast cancer. Within 5 years of diagnosis, 4.4% had enrolled in Medicare due to disability, most between 29 and 31 months post-diagnosis (the earliest time period of eligibility on the basis of cancer diagnosis). Later stage at diagnosis, lack of surgical treatment, aggressive surgical treatment, unmarried marital status, Hispanic or African American race/ethnicity, older age, and male gender were associated with statistically significantly higher odds of enrollment in Medicare due to disability. Conclusions: A significant number of working-age cancer patients become eligible for enrollment in Medicare due to disability. Most become eligible between 29 and 31 months after diagnosis indicating that cancer and/or treatment had a substantial permanent impact on ability to work from the time of diagnosis. Federal policy offering Medicare benefits only 29 months after application should be reevaluated. No significant financial relationships to disclose.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».