Kim Miyong T, Radhakrishnan Kavita, Heitkemper Elizabeth M, Choi Eunju, Burgermaster Marissa
School of Nursing, The University of Texas at Austin Austin, TX 78712, USA.
School of Natural Science and Dell medical School, The University of Texas at Austin Austin, TX 78712, USA.
Am J Transl Res. 2021 Mar 15;13(3):1617-1635. eCollection 2021.
As the U.S. population grows older and more diverse, self-management needs are increasingly complicated. In order to deliver effective personalized interventions to those suffer from chronic conditions social determinants of health must be considered. Therefore, psychosocial phenotyping holds strong promise as a tool for tailoring interventions based on precision health principles.
To define psychosocial phenotyping and develop a research agenda that promotes its integration into chronic disease management as a tool for precision self-management interventions.
Since psychosocial phenotyping is not yet used in interventions for self-management support, we conducted a literature review to identify potential phenotypes for chronic disease self-management. We also reviewed policy intervention case reports from the Centers for Medicare and Medicaid Services to examine factors related to social determinants of health in people with chronic illnesses. Finally, we reviewed methodological approaches for identifying patient profiles or phenotypes.
The literature review revealed areas within which to collect data for psychosocial phenotyping that can inform personalized interventions. The findings of our exemplar cases revealed that several environmental or key SDOH such as factors realted with economic stability and neighborhood environment have been closely linked with the success of chronic disease management interventions. We elucidated theory, definitions, and pragmatic conceptual boundaries related to psychosocial phenotyping for precision health.
Our literature review with case example analysis demonstrates the potential usefulness of psychosocial phenotyping as a tool to enhance personalized self-management interventions for people with chronic diseases, with implications for future research.
随着美国人口老龄化加剧且日益多样化，自我管理需求愈发复杂。为了向慢性病患者提供有效的个性化干预措施，必须考虑健康的社会决定因素。因此，心理社会表型分析作为一种基于精准健康原则定制干预措施的工具，具有很大的前景。
定义心理社会表型分析，并制定一项研究议程，以促进将其作为精准自我管理干预措施的工具纳入慢性病管理。
由于心理社会表型分析尚未用于自我管理支持干预中，我们进行了一项文献综述，以确定慢性病自我管理的潜在表型。我们还审查了医疗保险和医疗补助服务中心的政策干预案例报告，以研究慢性病患者健康的社会决定因素相关因素。最后，我们审查了识别患者概况或表型的方法学方法。
文献综述揭示了可用于为心理社会表型分析收集数据的领域，这些数据可为个性化干预提供信息。我们的示例案例研究结果表明，一些环境因素或关键的健康社会决定因素，如与经济稳定性和邻里环境相关的因素，与慢性病管理干预的成功密切相关。我们阐明了与精准健康的心理社会表型分析相关的理论、定义和实用概念界限。
我们的文献综述和案例分析表明，心理社会表型分析作为一种增强慢性病患者个性化自我管理干预措施的工具具有潜在用途，这对未来研究具有启示意义。
