为定性健康和社会护理研究数据集 (DeNOTE研究) 制定数据说明报告准则:研究协议
Hannah A Long1, Elaine Toomey2, Fiona Stevenson3
1Healthier Futures Research Platform, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Health psychology and behavioral medicine
|July 23, 2025
概括
研究人员正在制定DeNOTE报告准则,以提高质量健康和社会护理数据集的透明度和数据再利用. 本指南将支持研究人员创建定性数据的数据注释文章.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 定性研究方法 定性研究方法
- 数据科学数据科学数据科学
背景情况:
- 数据注释文章通过详细介绍公开可用的数据集来提高研究透明度和数据重复使用.
- 现有的报告准则是针对定量数据而设计的,不适合用于定性健康和社会护理数据集.
- 定性数据集具有独特的敏感性,需要不同的报告方法.
研究的目的:
- 概述制定DeNOTE报告准则的协议.
- 该指导方针旨在标准化有关质量健康和社会护理数据集的数据注释文章的报告.
主要方法:
- 一个多阶段的方法,涉及到一个范围的练习,专家问卷和研讨会.
- 开发包括综合报告项目,专家共识建设和反诱导.
- 该协议已在EQUATOR网络注册.
主要成果:
- 该研究概述了制定指导方针的系统协议.
- 该过程涉及基于专家输入和反的代改进.
结论:
- 德诺特报告准则将为定性健康和社会护理研究人员提供量身定制的资源.
- 该倡议旨在提高透明度,促进对定性研究数据的再利用.
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