Head and neck cancer (HNC) is third highest prevalent cancer among Indian which constitutes about 25-30% of all the cancer in India. Further, out-of-pocket expenditure (OOPE) covers around 67% of total healthcare expenditure and direct medical cost is key factor responsible for raised OOPE in India. Thus, we aimed to quantify total direct medical cost and OOPE associated with HNC management among HNC patients using "Ayushman Bharat Arogya Karnataka scheme" (ABArK scheme). A retrospective study was conducted for the duration of 6 months to collect the data related to total direct medical cost, coverage of "ABArK Scheme" and OOPE of past 2 years of HNC patients. The data of HNC patients above 18 years of age utilizing "ABArK scheme" were included in the study whereas data of patients utilizing other healthcare schemes and incomplete data on target schemes were excluded. A total of 196 patients (54.1%) utilized the "ABArK Scheme" out of 362 HNC patients treated in past 2 years. Among 196 patients, males (76.5%) were predominant over females (23.5%) with the mean age of 53.60 ± 11.58 years. We found that INR 17,370,279 as the total direct medical expenditure for the management of HNC patients of which around 87.465% was covered by "ABArK Scheme" minimizing the OOPE up to INR 3,297,970. Thus, Introduction and implementation of novel healthcare policies like "ABArK Scheme" can counteract financial burden of cancer management by significantly reducing OOPE which could be milestone achievement for the low-middle income countries like India.
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http://dx.doi.org/10.1007/s12070-023-03483-0 | DOI Listing |
Laryngoscope
January 2025
Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Objectives: To evaluate the impact of delayed postoperative radiotherapy (PORT) on overall survival (OS) in patients with head and neck cancers (HNC).
Data Sources: A systematic review and meta-analysis were conducted by searching MEDLINE, Embase, CENTRAL, Web of Science, and CINAHL databases.
Review Methods: Studies assessing the impact of delayed PORT in adult HNC patients were included.
Asia Ocean J Nucl Med Biol
January 2025
Department of Nuclear medicine, Dr Rajendra Prasad Government medical college,Tanda Kangra Himachal Pradesh, India.
Objectives: F-FDG PET/CT has been used to characterize the primary lesion and staging in head and neck cancers (HNC). However, prior studies for detecting distant metastasis and synchronous tumors are sparse, especially in Indian context. To investigate the frequency and distribution of head and neck carcinomas, distant metastases and synchronous malignancies detected in HNC in a north Indian population.
View Article and Find Full Text PDFOral Oncol
December 2024
Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, Canada; Department of Pathology, McGill University, Montreal, Canada; Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada. Electronic address:
The incidence of head and neck cancer (HNC) is on the rise, making it a significant clinical challenge. Human papillomavirus (HPV)-related and HPV-negative HNC exhibit distinct etiopathogenesis and prognoses, requiring targeted approaches for effective management. Conventional tissue biopsies are essential for confirming the diagnosis and locating solid tumors.
View Article and Find Full Text PDFHead Neck
December 2024
Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: The geriatric nutritional risk index (GNRI) is a tool to assess preoperative nutritional status that can be calculated simply based on height, weight, and serum albumin. This study assesses the utility of GNRI in predicting postoperative complications in patients undergoing major head and neck cancer (HNC) surgery.
Methods: Retrospective review of the 2016-2020 National Surgical Quality Improvement Program database.
Radiother Oncol
December 2024
Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), partner site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany; Cluster of Excellence "Machine Learning", University of Tübingen, Tübingen, Germany. Electronic address:
Purpose: To retrain a model based on a previously identified prognostic imaging biomarker using apparent diffusion coefficient (ADC) values from diffusion-weighted magnetic resonance imaging (DW-MRI) in a preclinical setting and validate the model using clinical DW-MRI data of patients with locally advanced head-and-neck cancer (HNC) acquired before radiochemotherapy.
Material And Methods: A total of 31 HNC patients underwent T2-weighted and DW-MRI using 3 T MRI before radiochemotherapy (35x2Gy). Gross tumor volumes (GTV) were delineated based on T2-weighted and b500 images.
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