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1.
Zhonghua Zhong Liu Za Zhi ; 46(1): 66-75, 2024 Jan 23.
Artículo en Zh | MEDLINE | ID: mdl-38246782

RESUMEN

Objectives: To evaluate the cost-effectiveness of typical pharmaceutical smoking cessation intervention strategies in China in the context of primary cancer prevention. Methods: Markov cohort simulation models were established to simulate the burden of 12 smoking caused cancer, including lung cancer, oral cancer, nasopharyngeal cancer, laryngeal cancer, esophageal cancer, gastric cancer, pancreatic cancer, liver cancer, kidney cancer, bladder cancer, cervical cancer, and acute myeloid leukemia. Taking incremental cost effectiveness ratio (ICER) as the main indicator, the model sets one year as the cycling period for 50 periods and simulates the cohort of 10 000 thirty-five-year-old current smokers with various smoking cessation strategies. To ensure the robustness of conclusion, univariate sensitivity analysis, probability sensitivity analysis, and age-group sensitivity analysis were conducted. Results: The results showed that varenicline intervention was the most cost-effective intervention. Compared to the next most effective option, incremental cost of each additional quality-adjusted life year is 11 140.28 yuan, which is below the threshold of willingness to pay (1 year GDP per capita). The value of ICER increased as the increasing age group of adopting intervention, but neither exceeded the threshold of willingness to pay. One-way sensitivity analysis showed that the value of discount rate, the hazard ratio and cost of intervention strategy had a greater impact on the result of ICER. Conclusion: In China, the use of varenicline to quit smoking is highly cost effective in the context of cancer primary prevention, especially for younger smokers.


Asunto(s)
Neoplasias Renales , Neoplasias Nasofaríngeas , Cese del Hábito de Fumar , Humanos , Análisis Costo-Beneficio , Análisis de Costo-Efectividad , Vareniclina , China , Preparaciones Farmacéuticas
2.
Zhonghua Zhong Liu Za Zhi ; 44(9): 942-949, 2022 Sep 23.
Artículo en Zh | MEDLINE | ID: mdl-36164695

RESUMEN

Cancer is a major public health issue that seriously endangers the public health and social development of China. Future initiatives for cancer prevention and control should continue to adhere to the principle of prioritizing prevention, and comprehensively implement related prevention activities nationwide. This is critical to reducing cancer burden in Chinese residents, especially in the low- and middle-income populations and those living in areas that are less economically developed. In the past several decades, the international community has significantly reduced the incidence of related cancers through primary prevention measures such as tobacco control, improved occupational hygiene, and vaccination. China has also implemented a series of exploratory primary prevention measures among high-risk groups of cancer in specific areas including Xuanwei, Qidong, and Linxian, and achieved encouraging results. However, due to the low level of systematic awareness of cancer risk factors and the lack of awareness and ability of self-health management in Chinese residents, it is urgent to develop novel research tools and methods to further reveal the causes of cancer, and establish innovative mechanisms and systems of primary prevention of cancer at population and individual levels. Based on current status of the transformation of cancer spectrum and the development of digital intelligence, it would be beneficial to establish a smart digital system for primary cancer prevention service that can cover the entire population, integrating authoritative popular science education on primary prevention of cancer, individualized cancer risk assessment, and personalized health management assistant. This will improve primary cancer prevention among the Chinese general population and can help the sustainable development of cancer prevention and control in China.


Asunto(s)
Atención a la Salud , Neoplasias , China/epidemiología , Humanos , Neoplasias/epidemiología , Neoplasias/prevención & control , Prevención Primaria , Factores de Riesgo
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