在数字心理健康干预研究中报告社会人口统计数据的常见做法:范围审查
Andrew Kirvin-Quamme1, Jennifer Kissinger1, Laurel Quinlan1
1Woebot Health, San Francisco, California, USA.
BMJ open
|February 12, 2024
概括
数字心理健康干预 (DMHI) 在随机对照试验 (RCT) 中对参与者社会人口统计数据的报告有限. 这种报告不足阻碍了基于应用程序的DMHIs减少心理健康差异的能力.
科学领域:
- 数字心理健康数字心理健康
- 在健康方面存在差异.
- 临床研究是临床研究.
背景情况:
- 数字心理健康干预 (DMHI) 旨在减少心理健康差异.
- 在DMHI研究中,参与者的多样性对于公平的结果至关重要.
- 在DMHI研究中,社会人口统计报告往往有限,缺乏全面的审查.
研究的目的:
- 在基于应用程序的数字心理健康干预随机对照试验 (RCT) 中描述社会人口统计数据的报告.
- 评估2007年至2022年社会人口统计报告的全球状况.
- 识别报告实践中的趋势和差距.
主要方法:
- 对基于应用程序的数字心理健康干预RCT进行了范围审查.
- 搜索了五个电子数据库,查找2007年至2022年间发表的相关研究.
- 在包括的299篇文章中检查了16个社会人口统计学领域及其类别的报告频率.
主要成果:
- 研究报告了16个社会人口统计学领域中的平均4.64.
- 年龄 (97%) 和教育 (67%) 是最常见的;住房 (6%) 和性取向 (2%) 是最不常见的.
- 关于性别/性别 (98%) 和种族/种族 (48%) 的报告往往不完整或未指明.
结论:
- 在基于应用程序的DMHI RCT中发现了社会人口统计信息的广泛报告不足.
- 不完整和不清楚的报告限制了DMHIs的概括性和减少心理健康差异的潜力.
- 通过数字干预,改善和多样化参与者描述对于推动通过数字干预推进公平的心理健康护理至关重要.
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