患者による結果測定における差異的な項目機能の評価のためのツリーベースの項目応答理論モデル:ウェブベースのR Shiny実装
Olayinka I Arimoro1, Lisa M Lix2, Mark A Ferro3
1Department of Community Health Sciences & O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada.
まとめ
この研究は,ツリーベースのアイテム応答理論 (IRT) モデルを使用して,患者による結果測定 (PROM) での差分アイテム機能 (DIF) を評価するためのウェブアプリケーションを導入します. このツールは,サンプルの異質性を特定し,医療研究におけるPROMスコア推論の妥当性を改善します.
科学分野:
- 医療情報学
- サイコメトリック
- 統計モデリング
背景:
- 患者の報告した結果測定 (PROM) は,健康状態の評価に不可欠ですが,その有効性は,差異的な項目機能 (DIF) によって損なわれることがあります.
- DIFは,同一の基礎的な健康状態を有する個体間のアイテム応答の体系的な違いから生じ,誤った結論と臨床的決定につながる可能性があります.
- DIF検出の従来の方法は,共変数が不明である場合,失敗し,強力な代替アプローチを必要とします.
研究 の 目的:
- 患者による結果測定 (PROM) データにおける差異的な項目機能 (DIF) を検出するためのツリーベースの項目応答理論 (IRT) モデルを実装するためのユーザーフレンドリーなウェブアプリケーションを導入する.
- 潜在的に異質な集団と未知のDIF関連コヴァリエータに対応するツールを提供します.
- 試料の異質性の源を特定することによって,PROMスコアの正確な解釈を容易にする.
主な方法:
- ツリーベースのIRTモデリングのためのR Shinyウェブアプリケーションの開発.
- このアプリケーションは,柔軟なモデル仕様,インタラクティブなデータ可視化,およびさまざまなデータタイプのカスタマイズ可能な設定をサポートしています.
- データ作成,モデル選択,結果解釈のチュートリアルが含まれています.
主要な成果:
- ウェブアプリケーションはインタラクティブなデータアップロード (.CSV, .XLSX) と二項式および多項式項目のDIFテストを可能にします.
- シミュレーション研究に基づくパラメータ選択の推奨事項を提供します.
- 出力係数,項目パラメータ,潜在的なDIF源を特定するためのグラフ
結論:
- 開発されたWebアプリケーションは,研究者や臨床医にとってアクセシブルで貴重なツールです.
- DIFによって引き起こされるPROMデータにおけるサンプル異質性の理解を深める.
- 臨床や研究におけるPROMスコアからより信頼できる推論を容易にする.
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