一个国家数据共享解决方案,用于预防和治疗肥胖 - - 对利益相关者的需求进行定性研究
Anne Christenson1,2, Joanna Uddén Hemmingsson3,4, Ylva Trolle Lagerros1,2
1Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.
Digital health
|November 27, 2024
概括
利益相关者希望研究和精准医学的肥胖健康数据系统兼容. 优先考虑BMI,性别和年龄等常见数据是有效的数据共享解决方案的关键.
科学领域:
- 医疗信息学 医疗信息学
- 肥胖问题研究研究
- 精准医学是一门精准的医学.
背景情况:
- 现有的健康数据系统缺乏对肥胖研究和精准医学的互操作性.
- 需要采取统一的方法来分享与肥胖相关的健康数据.
研究的目的:
- 收集利益相关方关于与肥胖有关的健康数据共享要求的观点.
- 确定国家健康数据解决方案的基本数据参数和用户需求.
主要方法:
- 与28个不同的利益相关者进行了半结构化采访.
- 采用诱导性内容分析来解释定性数据并对建议的参数进行分类.
主要成果:
- 时间有效的数据输入和对健康数据的普遍访问是关键问题.
- 通常要求的参数包括年龄,体重指数 (BMI) 和性别.
- 具体需求各不相同,医疗保健专业人员要求特定人群的实验室参考资料,肥胖患者优先考虑健身和体重史数据.
结论:
- 结果可以为设计国家健康数据共享解决方案提供准确的医疗保健和肥胖管理的信息.
- 优先考虑普遍要求的数据 (BMI,性别,年龄) 对于初始实施至关重要.
- 让肥胖者分享数据可以改善临床体验,减轻体重耻辱.
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