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相关概念视频

Kaplan-Meier Approach01:24

Kaplan-Meier Approach

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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,...
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Actuarial Approach01:20

Actuarial Approach

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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,...
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Drug Dosing: Obese Patients01:21

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In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
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在减肥手术中使用预测性成功得分与第一入先出方法对患者优先考虑的框架:成本效益分析.

Fellipe S Mocellin1, Jeruza L Neyeloff1, Flávio S Fogliatto2

  • 1PostGraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Federative Republic of Brazil.

Value in health regional issues
|September 20, 2025
PubMed
概括

使用预测性成功评分优先考虑患者进行腹部外科手术,可以改善健康结果,并且与先到先得排队相比具有成本效益. 这一策略提高了寿命,降低了心血管疾病死亡率.

关键词:
减肥手术 减肥手术是什么分析成本效益分析.获得医疗保健的机会.医疗保健资源的分配治疗肥胖症 治疗肥胖症

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科学领域:

  • 卫生经济学 卫生经济学
  • 手术结果研究研究.
  • 公共卫生政策 公共卫生政策

背景情况:

  • 腹部外科手术对于肥胖管理至关重要,但低收入和中等收入国家的资源局限性造成了接入挑战.
  • 现有的文献侧重于有效性和经济比较,缺乏关于患者优先级的决策分析研究.
  • 预先预测手术成功的评分系统需要对标准的队列式访问进行成本效益评估.

研究的目的:

  • 评估预测性成功评分系统的成本效益,以优先考虑减肥手术患者.
  • 为了比较预测得分方法与传统的"先进,先出"队列系统.
  • 评估在不同的供应限制下对健康结果和资源分配的影响.

主要方法:

  • 在RStudio开发了一个蒙特卡洛微模拟分支模型.
  • 从巴西国家卫生系统的角度来看,评估成本和经质量调整的寿命年 (QALY).
  • 通过预测成功分数优先考虑的队列与使用标准队列的队列进行了比较,跨越六个供应约束.

主要成果:

  • 成功得分的增量成本效益比率 (ICER) 从R$227到R$2883不到典型的支付意愿门.
  • 根据得分的优先考虑导致了更长的总寿命和降低心血管死亡率.
  • 在得分优先组中,观察到手术程序和慢性疾病管理的成本略高.

结论:

  • 基于预测成功的基础上优先考虑减肥手术候选人提供了一种具有成本效益的策略,以提高健康结果.
  • 这种方法在各种医疗保健系统供应限制方面都是可行的.
  • 预测评分系统是传统的基于队列的患者分配的一个有希望的替代方案.