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精准医学与人群健康的交叉点:初级保健中基于家族健康史的系统风险评估的实施效果研究。

At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care.

机构信息

Department of Medicine, Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, USA.

Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.

出版信息

BMC Health Serv Res. 2020 Nov 7;20(1):1015. doi: 10.1186/s12913-020-05868-1.

Abstract

BACKGROUND

Risk assessment is a precision medicine technique that can be used to enhance population health when applied to prevention. Several barriers limit the uptake of risk assessment in health care systems; and little is known about the potential impact that adoption of systematic risk assessment for screening and prevention in the primary care population might have. Here we present results of a first of its kind multi-institutional study of a precision medicine tool for systematic risk assessment.

METHODS

We undertook an implementation-effectiveness trial of systematic risk assessment of primary care patients in 19 primary care clinics at four geographically and culturally diverse healthcare systems. All adult English or Spanish speaking patients were invited to enter personal and family health history data into MeTree, a patient-facing family health history driven risk assessment program, for 27 medical conditions. Risk assessment recommendations followed evidence-based guidelines for identifying and managing those at increased disease risk.

RESULTS

One thousand eight hundred eighty-nine participants completed MeTree, entering information on N = 25,967 individuals. Mean relatives entered = 13.7 (SD 7.9), range 7-74. N = 1443 (76.4%) participants received increased risk recommendations: 597 (31.6%) for monogenic hereditary conditions, 508 (26.9%) for familial-level risk, and 1056 (56.1%) for risk of a common chronic disease. There were 6617 recommendations given across the 1443 participants. In multivariate analysis, only the total number of relatives entered was significantly associated with receiving a recommendation.

CONCLUSIONS

A significant percentage of the general primary care population meet criteria for more intensive risk management. In particular 46% for monogenic hereditary and familial level disease risk. Adopting strategies to facilitate systematic risk assessment in primary care could have a significant impact on populations within the U.S. and even beyond.

TRIAL REGISTRATION

Clinicaltrials.gov number NCT01956773 , registered 10/8/2013.

摘要

背景

风险评估是精准医学技术,可应用于预防以增强人口健康。有几个障碍限制了风险评估在医疗保健系统中的应用;对于在初级保健人群中采用系统的风险评估进行筛查和预防可能产生的潜在影响,人们知之甚少。在此,我们介绍了一项首例用于系统风险评估的精准医学工具的多机构研究结果。

方法

我们在四个地理位置和文化背景各异的医疗保健系统中的 19 个初级保健诊所进行了一项针对初级保健患者的系统风险评估实施效果试验。所有讲英语或西班牙语的成年患者均被邀请将个人和家族健康史数据输入 MeTree,这是一个面向患者的家族健康史驱动的风险评估程序,用于 27 种医疗状况。风险评估建议遵循识别和管理疾病风险增加患者的循证指南。

结果

1889 名参与者完成了 MeTree,共输入了 25967 人的信息。平均输入亲属数为 13.7(标准差 7.9),范围为 7-74。1443 名(76.4%)参与者收到了增加风险的建议:597 名(31.6%)患有单基因遗传性疾病,508 名(26.9%)有家族性风险,1056 名(56.1%)患有常见慢性疾病的风险。在 1443 名参与者中共有 6617 条建议。多变量分析显示,仅输入的亲属总数与收到建议显著相关。

结论

相当一部分普通初级保健人群符合更强化风险管理的标准。特别是 46%患有单基因遗传性和家族性疾病风险。在初级保健中采用促进系统风险评估的策略可能会对美国乃至全球的人群产生重大影响。

试验注册

Clinicaltrials.gov 编号 NCT01956773,于 2013 年 10 月 8 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cbc/7648301/27f770412271/12913_2020_5868_Fig1_HTML.jpg

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