k-Meansクラスタリングを用いた小児喘息集団のリスク分層
Mandana Rezaeiahari1, Arina Eyimina1, Melanie Boyd1
1College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
まとめ
健康の社会的決定因子を用いて 異なる小児性喘息患者グループを特定することで 治療を改善できます 機会が少ない地域に住む子どもは 特に黒人の子どもは 喘息の悪化のリスクが高くなります
科学分野:
- 小児の健康
- 社会流行病学
- 健康 の 格差
背景:
- 喘息は子供に不均衡な影響を及ぼし,健康の社会的決定因子 (SDOH) は悪化と結果において重要な役割を果たします.
- 特定小児喘息患者グループを特定することは,SDOHに基づいて標的を絞った介入と健康格差の軽減に不可欠です.
研究 の 目的:
- SDOHを用いて小児喘息患者を別々のグループに分類する.
- 喘息の悪化のリスクの高いグループを特定し,それに合わせたケア戦略を策定する.
主な方法:
- 5歳から18歳のアーカンソー州の 保険請求と登録データを活用した.
- 一般化された低ランクモデルとK-meansクラスタリングが採用され,共病状態,薬剤データ,児童機会指数,農村都市分類が含まれています.
- 喘息関連の緊急診療所と入院数を比較した結果です.
主要な成果:
- 6つの異なる小児喘息患者グループが特定されました.
- 黒人の子供の割合が高く,児童機会指数が低い地域に住むクラスター1では,喘息関連の緊急診療が著しく増加しました.
- このリスクの高いクラスターは 教育,健康,環境,社会経済的要因の 深い格差を示しています
結論:
- 小児性喘息の格差は 社会的,経済的,環境的不平等に対処する介入を必要とします
- 集団リスクの階層化は,クラスタリングによって示されたように,機会の少ない地域に住む黒人子供などの高リスクグループを効果的に特定し,それに合わせた喘息管理を行うことができます.
- この研究は,小児性喘息の悪化を理解し緩和するSDOHの可能性を強調しています.
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