基于ICD的死亡原因统计数据未能提供可靠的死亡医疗援助数据
Uwe Güth1,2, Christoph Junker3, Marion Schafroth4
1Department of Breast Surgery, Brust-Zentrum Zürich, Zurich, Switzerland.
International journal of public health
|August 28, 2023
概括
瑞士的死亡医疗援助 (MAID) 报告显示,官方统计数据和死亡权组织之间存在重大差异. 目前的ICD代码未能捕捉MAID的关键症状导向原因,从而造成数据缺口.
科学领域:
- 医学伦理 医学伦理
- 公共卫生统计 公共卫生统计
- 老年学是一门学科.
背景情况:
- 死亡医疗援助 (MAID) 在瑞士是一个日益增长的现象.
- 准确收集关于MAID潜在原因的数据对于了解趋势至关重要.
- 现有的死亡原因统计数据可能无法完全捕捉MAID动机的复杂性.
研究的目的:
- 评估最近在瑞士MAID的发展情况.
- 评估MAID报告在官方死亡原因统计中的可靠性.
- 为了确定统计数据和来自一个领先的死亡权组织的数据之间的差异.
主要方法:
- 在2018-2020年间对MAID病例进行比较分析.
- 使用基于ICD的统计数据对瑞士联邦统计局 (FSO) 数据的审查.
- 与死亡权组织EXIT的数据进行比较.
主要成果:
- EXIT报告的动机包括多病症 (26%) 和慢性疼痛 (8%) 等面向症状的类别,这些在FSO统计数据中不存在.
- 在两种数据源之间观察到潜在疾病/疾病分布的显著差异 (30-40%).
- ICD分类的局限性在捕捉MAID寻求MAID的全面原因方面造成了"MAID差距".
结论:
- 准确记录疾病特异性和面向症状的原因对于可靠的MAID趋势分析至关重要.
- 目前的ICD代码不足以捕捉导致MAID的疾病的全部范围.
- 建议对MAID开发新的ICD代码,以包括各种动机.
相关概念视频
01:20Actuarial Approach
96
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,...
96
01:24Kaplan-Meier Approach
178
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,...
178
01:30Ethical Dilemmas II
1.1K
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
1.1K
01:20Comparing the Survival Analysis of Two or More Groups
222
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...
222
01:15Assumptions of Survival Analysis
153
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
153
01:09Censoring Survival Data
125
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
125