Purpose: To evaluate the direct costs and analyze the potential cost-driving factors in the first year of retinoblastoma treatment in China.

Methods: Sixty-nine pediatric patients who received multidisciplinary treatment for retinoblastoma in three tertiary hospitals from 2006 to 2011 were included in this retrospective study. The direct costs, including costs for chemotherapy, focal therapy, anesthetic procedure, enucleation, fundus examination, hospitalization and outpatient appointment, transportation, and accommodation for family members, were obtained from medical records and interviews.

Results: The average direct costs for retinoblastoma treatment was U.S. $9,422 ± 3,709 per patient during the first year. Of this amount, chemotherapy-related expenses were $2,991 ± 3,083 (31.74%), transportation and accommodation expenses were $2,560 ± 1,348 (27.17%), general anesthetic procedure was $1,081 ± 2,711 (11.48%), and enucleation was $900 ± 1,015 (9.56%). The costs for intra-arterial chemotherapy ($1,224 ± 754) and chemotherapy drugs ($517 ± 134) were major components in chemotherapy-related expenses. The retinoblastoma clinical stage and family income positively correlated with the total direct costs (P = .0358 and .0185, respectively).

Conclusion: Comprehensive treatment involving chemotherapy imposes an enormous economical burden on families affected by retinoblastoma in China.

Download full-text PDF

Source
http://dx.doi.org/10.3928/01913913-20120710-04DOI Listing

Publication Analysis

Top Keywords

direct costs
20
retinoblastoma treatment
12
costs retinoblastoma
8
anesthetic procedure
8
transportation accommodation
8
chemotherapy-related expenses
8
retinoblastoma
6
costs
6
direct
5
treatment
5

Similar Publications

Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.

View Article and Find Full Text PDF

Background: Informal care of older adults impacts the lives of millions worldwide. Critically, low- and middle-income countries have the highest proportion of dementia costs related to informal care. Research suggests that older adults' cognitive decline is associated with burden among caregivers, which corroborates the worsening in caregivers' quality of life and mental health.

View Article and Find Full Text PDF

Breast cancer continues to be a major health concern, and early detection is vital for enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its substantial sensitivity for invasive breast cancers. Computer-aided detection (CADe) systems enhance the effectiveness of MRI by identifying potential lesions, aiding radiologists in focusing on areas of interest, extracting quantitative features, and integrating with computer-aided diagnosis (CADx) pipelines.

View Article and Find Full Text PDF

[Research progress on prognostic prediction models for patients undergoing extracorporeal membrane oxygenation].

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue

December 2024

Department of Critical Care Medicine, the Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi Zhuang Autonomous Region, China. Gao Hanming is working on the Department of Critical Care Medicine, the People's Hospital of Cenxi City, Cenxi 543200, Guangxi Zhuang Autonomous Region, China. Corresponding author: Lu Junyu, Email:

Extracorporeal membrane oxygenation (ECMO), as a critical life support technology, has played a significant role in treating patients with refractory respiratory and circulatory failure. In recent years, with the advancements in medical technology, the scope of application of ECMO has been expanding, especially in the fields of acute respiratory distress syndrome, cardiogenic shock and other important roles. However, its high costs, complex operation, and associated risks of complications remain challenges in clinical practice.

View Article and Find Full Text PDF

Background: The blended learning (BL) approach to training health care professionals is increasingly adopted in many countries because of high costs and disruption to service delivery in the light of severe human resource shortage in low resource settings. The Covid-19 pandemic increased the urgency to identify alternatives to traditional face-to-face (f2f) education approach. A four-day f2f antenatal care (ANC) and postnatal care (PNC) continuous professional development course (CPD) was repackaged into a 3-part BL course; (1) self-directed learning (16 h) (2) facilitated virtual sessions (2.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!