在线定性研究中的欺诈性参与:关于新兴现象的实际建议
Khaylen Mistry1,2, Sophie Merrick3, Melissa Cabecinha4
1Department of Dermatology, Norfolk and Norwich University Hospitals Foundation Trust, Norwich, UK.
Qualitative health research
|November 16, 2024
概括
本研究介绍了预防欺诈在线研究参与 (P-FROST) 的建议,以打击在线定性研究中的欺诈参与. 这些指南旨在通过处理研究设计,招聘和数据收集来保护数据完整性和基于证据的实践.
科学领域:
- 定性研究方法论 定性研究方法论
- 研究伦理和诚信研究.
- 在线学习设计在线学习设计
背景情况:
- 在线定性研究,特别是那些使用货币激励的研究,面临欺诈参与的风险.
- 欺诈参与损害了数据质量,影响了基于证据的实践.
- 缺乏有效的指导,以解决欺诈性参与研究的问题.
研究的目的:
- 批判性地反思在线定性研究中欺诈性参与的经验.
- 为识别和防止欺诈性参与制定实际建议.
- 为研究人员,伦理委员会和资助者提供指导.
主要方法:
- 一个合作的批判性反思,涉及三个定性研究小组.
- 来自多学科团队的投入,包括患者代表,生物伦理学家,法律专家,期刊编辑和慈善机构首席执行官.
- 开发预防欺诈的在线学习参与 (P-FROST) 建议.
主要成果:
- P-FROST的建议提供了四个关键领域的指导:研究设置,激励和招聘,数据收集和分析/报告.
- 这些建议整合了来自患者,研究人员,资助者,伦理委员会和法律团队的不同观点.
- 提出了一种综合方法,从研究设计到实施来解决欺诈性参与问题.
结论:
- P-FROST建议提供了一个框架,以减轻欺诈性参与在线定性研究的风险.
- 实施这些建议可以提高研究数据的可靠性和完整性.
- 积极的战略对于在数字时代保障研究质量至关重要.
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