美国州级税收政策,癌症查和死亡率
Odysseas P Chatzipanagiotou1, Mujtaba Khalil1, Usama Waqar2
1Department of Surgery, The Ohio State University Wexner Medical Center, Columbus.
JAMA network open
|May 2, 2025
概括
国家税收政策与更高的癌症查率和更低的死亡率有关. 人均税收增加与乳腺癌,结肠癌和宫癌查的改善以及白人人口死亡率的降低相关.
科学领域:
- 公共卫生政策 公共卫生政策
- 癌症流行病学 癌症流行病学
- 卫生经济学 卫生经济学
背景情况:
- 健康人2030已经制定了国家癌症查目标和死亡率降低目标.
- 国家层面的税收政策是对健康影响癌症结果的未被认可的社会决定因素.
- 了解税收政策与癌症查/死亡率之间的联系对于公共卫生倡议至关重要.
研究的目的:
- 调查州级税收和税收渐进性与癌症查率之间的关联.
- 为了检查州税收政策与美国癌症死亡率之间的关系.
- 确定税收政策是否能影响实现国家癌症控制目标的进展.
主要方法:
- 在23年的时间里,以国家年为分析单位的生态,基于人口的,横截面研究.
- 数据来源于CDC数据库,用于癌症查 (2020年,2022年) 和死亡率 (1999-2021年).
- 国家税收收入 (1997-2019) 和税收渐进性 (Suits指数) 被分析为2年滞后,调整为共变量.
主要成果:
- 人均税收收入每增加1000美元,就会显著增加结直肠 (1.61%),乳腺 (2.17%) 和宫 (0.72%) 癌症查率.
- 人均较高的税收收入与减少恶性瘤癌症死亡率相关,与指导方针推的白种人群查 (0.95 IRR).
- 在种族和少数民族人口 (0.99 IRR) 死亡率下降方面没有发现显著的关联.
结论:
- 国家税收政策与改善癌症查率和减少癌症死亡率有关.
- 调查结果表明,税收政策可以成为解决癌症护理差异的工具,特别有利于白人人口.
- 需要进一步的研究来了解机制,并确保所有人口群体均享有公平的利益.
更多相关视频
07:49Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
53
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
178
相关概念视频
01:21Cancer Survival Analysis
291
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
291
01:25Statistical Methods for Analyzing Epidemiological Data
236
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
236
01:20Actuarial Approach
39
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
39
01:27Tumor Immunotherapy
397
Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
397
01:20Comparing the Survival Analysis of Two or More Groups
84
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
84
02:20Longitudinal Research
11.8K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.8K