Notice bibliographique
Résumé
Background : Cancer is a disease that not only places a significant burden on clinically but also requires significant expense for diagnosis and treatment. Although the cancer coverage of health insurance has recently been expended, the need for financial assistance among cancer and their families is still expected to be significant. In this study, cancer patients need for financial assistance in Korea was examined and its influence factors were analyzed. Methods : Target study subjects were those who are over 18 years of age and were diagnosed with cancer more than four months prior at the National Cancer Center and 9 Regional Cancer Centers in Korea during the period from July to August of 2008. Quarter sampling was conducted according to the ratio of the type of each cancer. A face to face interview survey was conducted. A total of 2,661 cancer finished the survey. Medical charts were reviewed in order to obtain the cancer type and SEER stage of cancer patients. An ordered logistic regression model was used to examine the level of need for financial assistance according to the demographical, clinical, and socio-economic variables of cancer patients. Result : The percentage of cancer who needed financial assistance was 69.0%, and 36.9% needed significant financial assistance. The need for financial assistance was perceived to be greater in males, younger age group, low income group, low education group, medical aid recipients, those who were diagnosed recently, those with a low level of quality of life measured through EQ5D, and those with decreased income after cancer diagnosis. Conclusion : In spite of the current policy to increase health insurance coverage, the majority of cancer and their families in Korea still need financial assistance due to cancer. In particular, there were more vulnerable groups, such as the low income, or low education group. In the future, policies that focus on the disadvantaged, which strengthen social security, should be considered for achievement of a substantially better quality of life for cancer and their families.
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 | 0,005 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,052 | 0,035 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».