実施科学研究において,定性的な方法はどのように用いられているか. 体系的な範囲調査の結果
Ashley Hagaman1,2, Elizabeth C Rhodes3, Carlin F Aloe2,4
1Social and Behavioral Sciences Department, Yale School of Public Health, New Haven, CT, USA.
Implementation research and practice
|September 2, 2025
まとめ
実施科学 (IS) 研究の定性的な方法は多様です. このレビューは,将来のIS研究を強化するために,一般的なデータ収集と分析技術を特定して,それらのアプリケーションを統合します.
科学分野:
- 実施科学 (IS) 研究
- 定性的な研究方法
- 医療サービス研究
背景:
- 定性的な方法は,
- なぜか
- そして
- どうしたら
- 証拠に基づいた介入の実施
- 定性的な方法の応用を体系的に統合することは,IS研究における革新と最適化に不可欠です.
研究 の 目的:
- IS研究における質的データ収集と分析方法の適用を調査する.
- 定性的な方法を用いて枠組みと理論を活用する方法を特定する.
- 定性的なIS研究で取り組む実装問題
主な方法:
- MEDLINEとEmbaseのデータベースにある記事の体系的なスコープレビュー.
- 研究設計,データ収集,分析方法,実施結果に関するデータの抽出
- 76カ国から867件の論文を分析した.
主要な成果:
- 詳細なインタビュー (84.3%) とフォーカスグループでの議論 (34.5%) が最も一般的なデータ収集方法でした.
- 主題分析 (45.3%) と内容分析 (18.5%) が主たる分析方法であった.
- 論文のほぼ4分の1は理論的または概念的枠組み (TMF) を利用した.
結論:
- IS研究における定性的な方法の適用には大きな違いがある.
- データ収集と分析の詳細な説明は,革新的な用途を強調しています.
- ギャップを特定することは,IS研究を最適化するための定性的な方法を強化するための機会を提供します.
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