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在初级保健中,患者对未经控制的2型糖尿病的基于患者相似性的风险沟通的患者观点:一种定性研究
Ruiheng Ong1, Chirk Jenn Ng1,2, Kalaipriya Gunasekaran1
1SingHealth Polyclinics, SingHealth, Singapore, Singapore.
没有控制的2型糖尿病 (T2DM) 患者对使用社会比较的风险沟通做出了反应. 数字工具PERDICT.AI通过突出风险和成功应对策略,显示了激励保护健康行为的潜力.
科学领域:
- 改变健康行为改变健康行为
- 风险沟通风险沟通是什么
- 数字健康干预措施 数字健康干预措施
背景情况:
- 低估糖尿病并发症会阻碍采取保护性健康行为.
- 健康数据的社会比较可以提高风险感知,并激励行为改变.
- PERDICT.AI是一个数字工具,用于初级保健医生 (PCP) 向2型糖尿病患者 (T2DM) 传达风险.
研究的目的:
- 使用PERDICT.AI.探索患者对风险沟通的看法.
- 了解PCP如何通过该工具向T2DM患者传达糖尿病风险.
主要方法:
- 定性研究设计. 定性研究设计.
- 在新加坡的一家初级保健诊所招募的18名未经控制的T2DM (HbA1c ≥8.0%) 参与者.
- 在风险沟通会议后,使用PERDICT.AI.AI.进行了深入采访.
主要成果:
- 五个主题出现了:"我是我自己",符合的动机,避免负面结果,低风险感知和模仿积极结果的动机.
- 一些参与者表达了对并发症的零风险容忍,独立于队列排名.
- 社会比较影响了风险感知和健康行为动机.
结论:
- 在向T2DM患者传达风险时,社会比较方法是可以接受的.
- 识别接受性患者和澄清风险感知 (包括零风险) 是至关重要的.
- 量身定制的,社会上可比较的策略可以有效地减轻糖尿病风险.
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