臨床試験における代表性の測定
Allen Sanyi1,2, Samuel Byiringiro3, Sanaz Dabiri4
1Department of Medicine (A.S.), Emory University School of Medicine, Atlanta, GA.
Circulation
|February 3, 2025
まとめ
臨床試験における代表性の測定は 公平な研究にとって極めて重要です 完璧な方法は1つでもありませんが 多様性,公平性,包摂性,帰属性 (DEIB) を改善する多面的なアプローチは可能です
科学分野:
- 臨床試験
- 健康に関する公平性
- 研究方法論
背景:
- 臨床試験の代表性は,外部の有効性,研究への公平なアクセス,および公衆の信頼のために不可欠です.
- 代表性を定量化することは,臨床研究における多様性,公平性,包摂性,帰属性 (DEIB) を達成するための重要なステップです.
- 臨床試験における特定の集団の伝統的不足は 堅実な測定戦略を必要とします
研究 の 目的:
- ランダム化臨床試験における代表性を測定するための様々な定量的な方法を探求する.
- 試験参加者の人口統計を評価するための異なるアプローチの強みと弱みを評価する.
- 臨床研究におけるDEIBの評価と改善のための適切な指標の選択について,関係者に情報を提供すること.
主な方法:
- 参加率と罹患率の比率,入学率を含む試験の代表性を測定するための提案された方法のレビュー
- 利害関係者のニーズと試験の文脈に基づいて,さまざまな定量的な測定の有用性の分析.
- 定量的代表性目標の使用による意図せざる結果の検討
主要な成果:
- 代表性を測定する方法は複数あり,それぞれに限界があります.
- 参加率と罹患率の比率は,明確に定義された人口を対象とした試験に有用です.
- 入学率と人口統計の組み合わせは 代表性のより微妙な見方を提供します
結論:
- すべての臨床試験で DEIB を包括的に扱う方法はありません.
- 代表性を測定するための慎重に設計された多面的なアプローチが推奨されます.
- 定量的な測定は 慎重に検討すると 臨床試験参加の多様性を高めるための取り組みを導くことができます
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