First Comprehensive Assessment of Quality of Life in Cancer Patients in Afghanistan: Insights From Herat Regional Hospital
Notice bibliographique
Résumé
BACKGROUND: This study marks the first extensive evaluation of quality of life (QoL) among cancer patients in Afghanistan, carried out at the Oncology Department of Herat Regional Hospital. Its primary objective was to assess the QoL of cancer patients and to determine key factors influencing it, utilizing the validated European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 instrument. AIMS: The study aimed to determine overall QoL levels among Afghan cancer patients and to examine the impact of sociodemographic and clinical characteristics, including disease stage and gender differences, on functional and symptom related domains. METHODS AND RESULTS: A total of 230 patients diagnosed with cancer participated in this cross-sectional survey conducted between February and May 2024. Data regarding sociodemographic characteristics and clinical profiles were collected, and QoL outcomes were examined across both functional and symptom-related domains. The findings indicated that esophageal and gastric cancers were the most common types observed, with the majority of patients presenting at stage two of the disease. Among the functional domains, cognitive functioning received the highest scores, whereas social functioning scored the lowest. Financial hardship emerged as the most burdensome symptom reported. Disease progression, marked by advancing cancer stages, was associated with significant declines in physical and role functioning, along with increases in symptoms such as dyspnea and insomnia. Gender differences were notable, with male patients reporting higher overall QoL compared to female patients. Economic challenges were found to have a considerable negative effect on QoL outcomes. CONCLUSION: As a pioneering study in Afghanistan, these results emphasize the pressing need for interventions that address the physical, psychological, and economic hardships faced by cancer patients. The study further stresses the importance of promoting early diagnosis, developing individualized treatment plans, and providing comprehensive supportive care to enhance patient well-being. These insights offer a foundation for developing cancer care policies and integrating standardized QoL assessment tools within clinical practice in Afghanistan and similar resource-limited environments. These findings provide crucial evidence for policymakers to develop targeted, gender-sensitive interventions to mitigate financial toxicity and improve supportive care within Afghanistan's fragile health system.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| 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 | 0,000 |
| 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 ».