绘制墨西哥潜在可避免的过早死亡率:次国家,性别和年龄组的趋势
Andrés Castañeda Prado1,2, Iliana Yaschine Arroyo3, Guillermo Salinas-Escudero4
1Facultad de Medicina, Universidad Nacional Autónoma de México, Cuidad de México, México.
Cadernos de saude publica
|August 28, 2024
概括
墨西哥从2000年到2019年,潜在可避免的过早死亡率 (PAPM) 减少. 然而,可预防的死亡人数超过了可治疗的死亡人数,性别和州级差异显著,特别是工作年龄男性的死亡人数上升趋势.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 潜在可避免的过早死亡率 (PAPM) 是医疗保健系统绩效和社会福祉的关键指标.
- 了解PAPM的趋势和差异对于有针对性的公共卫生干预至关重要.
- 之前的研究已经强调了死亡率模式的变化,但需要在墨西哥人口统计和地理上进行全面的分析.
研究的目的:
- 分析2000年至2019年墨西哥潜在可避免的过早死亡率 (PAPM) 的国家和地方趋势.
- 根据年龄组,性别和墨西哥各州的PAPM率的差异.
- 在整体PAPM中区分潜在可预防的过早死亡率 (PPPM) 和潜在可治疗的过早死亡率 (PTPM).
主要方法:
- 利用墨西哥2000年至2019年的全国死亡率数据.
- 计算的潜在可避免的过早死亡率 (PAPM),分为PPPM和PTPM.
- 员工结合点分析以确定趋势分析的年平均百分比变化 (AAPC).
- 进行了地方性分析,以确定不同性别和年龄组的州特定趋势.
主要成果:
- 在2000年至2019年期间,全国PAPM的死亡率从每10万人口中的297人降至281人.
- 潜在可预防的过早死亡率 (170/100,000) 高于潜在可治疗的过早死亡率 (111/100,000).
- 观察到显著的基于性别的差异,特别是在劳动年龄人口中,男性的上升趋势.
- 国家层面的分析显示出相当大的差异,一些地区显示PAPM下降,而另一些地区显示增加,特别是PTPM.
结论:
- 虽然墨西哥的PAPM总体减少了,但在年龄,性别和地理区域之间仍然存在显著的差异.
- 与PTPM相比,PPPM的负担更高表明需要解决可预防疾病的根本原因.
- 需要采取有针对性的干预措施,以应对特定子组 (如工作年龄的男性) 中日益增长的PAPM趋势,并减轻州一级的差异,以实现更公平的公共卫生环境.
更多相关视频
相关概念视频
Methods Of Healthcare Delivery System
3.2K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.2K
Kaplan-Meier Approach
115
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
115
Actuarial Approach
68
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,...
68
Levels of Health Promotion and Illness Prevention
12.5K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
12.5K
Preventive Healthcare Services
974
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
974
Cancer Survival Analysis
334
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...
334


