使用纵向和横截面设计比较特定疾病的灾难性成本估计:结核病的例子
Takuya Yamanaka1, Mary Christine Castro2, Julius Patrick Ferrer2
1Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Social science & medicine (1982)
|February 3, 2024
概括
截面设计低估了灾难性结核病成本,因为无法捕捉收入变化. 纵向研究对于准确的家庭成本经济评估至关重要.
科学领域:
- 卫生经济学 卫生经济学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 评估疾病特异性灾难性成本对于经济评估和社会/卫生政策至关重要.
- 纵向研究是估计家庭成本的理想选择,但横截面设计往往是务实的.
- 本研究检查了用于估计家庭成本的横截面设计中的偏差,以结核病 (TB) 为案例研究.
研究的目的:
- 在估计家庭成本时识别横截面设计的潜在偏差.
- 探索最佳的抽样和插值方法,用于横截面成本数据.
- 对结核病患者进行纵向和模拟横截面设计之间的灾难性成本估计进行比较.
主要方法:
- 收集了菲律宾530名结核病患者的患者费用,家庭收入和应对策略数据 (2018年11月至2020年10月).
- 适应了世卫组织结核病患者成本调查手册,用于纵向研究设计.
- 使用纵向数据与不同处理点的模拟横截面设计进行结核病特定灾难性成本估计的比较.
主要成果:
- 纵向设计的结果是,结核病影响家庭的灾难性成本估计为69%.
- 模拟的横截面设计产生较低的估计 (40-55%),受结核病治疗期间收入波动的影响.
- 治疗期间的收入减少和回收显著影响了横截面成本估计.
结论:
- 横截面设计可以低估灾难性家庭成本,因为未捕获的收入变化.
- 在横截面研究中,不适当的抽样可能导致对成本的偏见低估.
- 纵向数据收集对于准确评估结核病等疾病对家庭经济负担至关重要.
相关概念视频
Comparing the Survival Analysis of Two or More Groups
188
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...
188
Pulmonary Tuberculosis V
180
Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
180
Introduction To Survival Analysis
239
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
239
Pulmonary Tuberculosis IV
143
Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
143
Actuarial Approach
79
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,...
79
Statistical Methods for Analyzing Epidemiological Data
366
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:
366


