A call for standardised age-disaggregated health data.
A call for standardised age-disaggregated health data.
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DOI：
10.1016/s2666-7568(21)00115-x
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
Banerjee A
中科院分区：
文献类型：
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作者：
Diaz T;Strong KL;Cao B;Guthold R;Moran AC;Moller AB;Requejo J;Sadana R;Thiyagarajan JA;Adebayo E;Akwara E;Amouzou A;Aponte Varon JJ;Azzopardi PS;Boschi-Pinto C;Carvajal L;Chandra-Mouli V;Crofts S;Dastgiri S;Dery JS;Elnakib S;Fagan L;Jane Ferguson B;Fitzner J;Friedman HS;Hagell A;Jongstra E;Kann L;Chatterji S;English M;Glaziou P;Hanson C;Hosseinpoor AR;Marsh A;Morgan AP;Munos MK;Noor A;Pavlin BI;Pereira R;Porth TA;Schellenberg J;Siddique R;You D;Vaz LME;Banerjee A
2030 年可持续发展目标议程要求健康数据按年龄分类。然而，用于记录和报告健康数据的年龄分组差异很大，阻碍了这些数据在国家内部和国家之间的协调性、可比性和有用性。这种变异性在 COVID-19 大流行期间变得尤其明显，当时迫切需要按年龄对流行病学模式进行快速跨国分析，以指导公共卫生行动，但此类分析因缺乏标准年龄类别而受到限制。在本个人观点中，我们提出了一套建议的年龄分组来解决这个问题。这些分组是根据特定年龄的发病率、死亡率和健康风险模式以及预防和疾病干预的机会来确定的。我们建议所有健康数据都按 5 岁进行年龄分组，但 5 岁以下的数据除外，因为在这段时间里，生物和生理发生了快速变化，需要进行更精细的分类。尽管本个人观点的重点是年龄组分析和显示的标准化，但我们也概述了收集确切年龄数据所面临的挑战，特别是卫生设施和监测数据。拟议的年龄分类应有助于制定有针对性的、针对特定年龄的医疗保健和疾病管理政策和行动。
The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management.