医療介入と実施戦略の効果を最適化するために使用される実験設計: スコーピングレビュー
Erin Nolan1,2,3, Luke Wolfenden4,5,6,7, Taylor Benn4
1School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia. Erin.nolan@hmri.org.au.
BMC health services research
|August 26, 2025
まとめ
このレビューでは,健康への介入と実施戦略の最適化のための研究設計が検討されました. 結果はより明確な成功基準と枠組みの必要性を強調し,将来の試験のための適応的な設計を提案しています.
科学分野:
- 医療サービス研究
- 実施科学
- 臨床試験の設計
背景:
- 資源の限度の中で健康への介入と実施戦略を 強化するために最適化は 重要な繰り返しプロセスです
- 現在の研究設計を理解することは,最適化プロセスの効率と効果を改善するために不可欠です.
研究 の 目的:
- 医療介入の最適化と実施戦略の評価に用いられる研究設計を特定する.
- 特定の最適化目標に基づいて研究設計が異なるかどうかを判断する.
- 将来の最適化試験の強化のための戦略を提案する.
主な方法:
- 多数のデータベース (Medline,EMBASE,CINAHL,ProQuest Nursing,Allied Health Source) で包括的な調査が行われました.
- 臨床試験のレジストリも検索し,現在進行中の試験または完了した試験を特定しました.
- データ抽出は,研究設計,最適化目標,制約,最適化フレームワークと成功基準の使用に焦点を当てた.
主要な成果:
- 介入の最適化 (n=142),実施戦略の最適化 (n=39) または両方 (n=2) に焦点を当てた合計183件の研究が含まれていた.
- 実施戦略の最適化 (46%) を支配する一方で,介入の最適化 (41%) に関する因数学的設計が最も一般的であった.
- 優化成功の明確な定義は11%の試験に存在し,24%が優化枠組みを使用した.
結論:
- このレビューは,健康最適化試験における現在の設計特徴を特徴づけています.
- 試験の設計を導き,最適化の成功を明確に定義するための標準化フレームワークが不可欠です.
- 適応デザインやベイジアン統計などの代替方法論は,共通の課題に対処し,最適化調整を改善することを推奨しています.
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