精神、神经、物质使用障碍和自残负担:算牌还是洗牌?

S. Patten
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引用次数: 0

摘要

在这期题为“北美精神、神经、物质使用障碍和自我伤害的负担:加拿大、墨西哥和美国的比较流行病学”的论文中,Vigo等人从全球疾病负担(GBD)项目的疾病负担估计中提供了另一种观点。作者批评GBD武断地将“精神健康相关负担”重新分类为其他类别,并表示关注GBD方法淡化了可归因于精神健康问题的明显负担。作者将他们的重新分类建立在一个新的汇总类别的基础上,他们称之为“精神、神经、物质使用障碍和自我伤害”(MNSS)。MNSS包括自杀死亡率、一些选定的神经系统疾病(神经认知障碍、癫痫和头痛)、可归因于酒精的身体疾病和一定比例的慢性疼痛问题(以捕捉躯体症状障碍的负担)。对重新分类数据的分析表明,MNSS是10至60岁人群疾病负担的最大来源。GBD涵盖了195个国家的359种疾病和伤害,最新公布的估计数涵盖了1990年至2017年。GBD使用四个层次来汇总特定疾病的估计。第四级包括与特定疾病相关的负担(例如,重度抑郁症、心境恶劣),尽管一些疾病仍然分组(例如,截至2017年,焦虑症是第4级分组)。第三级包括额外的汇总(例如,抑郁症),第二级包括一个称为“精神障碍”的类别,在层次结构的顶端,第一级仅包括三个总体类别:非传染性疾病;伤害;传染病、孕产妇、新生儿和营养性疾病。Vigo等人认为有问题的正是这些聚合分组及其标签。他们指出,“精神障碍”这一类别不包括自杀死亡、一些相关的神经系统疾病、酒精相关疾病和躯体症状障碍。他们担心GBD的方法可能会降低“与心理健康有关的负担的可见性”。例如,在2017年加拿大疾病负担排名中,“精神障碍”排名第五(尽管在15至24岁年龄段中排名第一)。GBD的目的是描述全球、国家和(在一些国家,但不是加拿大)国家以下或区域各级的健康状况(原因)和风险因素造成的死亡率和发病率。他们对不同人群进行比较,以便更好地了解世界各地不断变化的健康状况。虽然GBD的目的不是为医疗保健部门提供一个争夺资源和声望的舞台,但天真的决策者,特别是那些不了解GBD方法的决策者,可能会误解GBD的估计,低估心理健康的价值。例如,一些利益攸关方可能会认为,“精神障碍”第2级分组描述了或打算描述与精神健康有关的疾病负担。Vigo等人通过生成MNSS分类(一个排名第一的类别)来帮助应对这种风险。尽管Vigo等人对GBD提出了一些严厉的批评(例如,将汇总类别标记为“有偏见的”和缺乏“最低表面效度”),但将他们的重新分析视为诋毁GBD或纠正GBD所犯的错误是不明智的。在最初的GBD报告之前,卫生政策的重点确定主要基于特定病因的死亡率统计。随着……的普及
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Burden of Mental, Neurological, Substance Use Disorders and Self-Harm: Counting the Cards, or Shuffling the Deck?
In this issue’s paper entitled: “Burden of Mental, Neurological, Substance Use Disorders and Self-Harm in North America: A Comparative Epidemiology of Canada, Mexico, and the United States,” Vigo et al. provide an alternative perspective on disease-burden estimates from the Global Burden of Disease (GBD) Project. The authors criticize the GBD for what they consider to be an arbitrary reclassification of “mental health-related burden” into other categories and express concern that the GBD approach dilutes the apparent burden attributable to mental health issues. The authors base their reclassification on the creation of a new aggregate category that they call “mental, neurological, substance use disorders and self-harm” (MNSS). MNSS includes suicide mortality, some selected neurological conditions (neurocognitive disorders, epilepsy, and headaches), physical conditions attributable to alcohol, and a proportion of chronic pain issues (to capture the burden of somatic symptom disorders). Analysis of the reclassified data indicates that MNSS is the largest source of disease burden between the ages of 10 and 60. The GBD covers 359 diseases and injuries for 195 countries, with the most recently published estimates covering from 1990 to 2017. The GBD aggregates disease-specific estimates using four hierarchical levels. The fourth level includes burden related to specific disorders (e.g., major depression, dysthymia) although some conditions remain grouped (e.g., anxiety disorders are a Level 4 grouping as of 2017). The third level includes additional aggregation (e.g., depressive disorders), the second level includes a category called “mental disorders,” and at the top of the hierarchy, the first level includes only three overarching categories: noncommunicable diseases; injuries; and communicable, maternal, neonatal, and nutritional diseases. It is these aggregate groupings, and their labeling, that Vigo et al. consider problematic. They point out that the “mental disorders” category does not capture suicide deaths, some relevant neurological morbidity, alcohol-related morbidity, and somatic symptom disorders. Their concern is that the GBD’s approach may reduce “the visibility of the burden related to mental health.” For example, in the 2017 Canadian ranking of disease burden, “mental disorders” rank fifth (although they rank first in the 15 to 24 age range). The purpose of the GBD is to describe mortality and morbidity from health conditions (causes) and risk factors at global, national, and (in some countries, but not in Canada) subnational or regional levels. They make comparisons across populations that enable a better understanding of changing health across the world. While it is not the intention of the GBD to provide an arena in which healthcare sectors compete for resources and prestige, it is possible that naive decision makers, especially those who are unaware of the GBD methodology, could misinterpret GBD estimates in ways that undervalue mental health. For example, some stakeholders may come to believe that the “mental disorders” Level 2 grouping describes, or is intended to describe, mental health-related disease burden in its entirety. Vigo et al. help to counter this risk by producing the MNSS classification—a category that ranks Number 1. Despite some harsh criticisms of the GBD by Vigo et al. (e.g., labeling the aggregate categories as “biased” and lacking in “minimum face validity”), it would be unwise to think of their reanalysis as discrediting the GBD or as correcting errors made by the GBD. Prior to the original GBD report, priority setting in health policy was largely based on causespecific mortality statistics. With the popularization of
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