Section of General Internal Medicine, University of Chicago, Chicago, IL, USA.
Center for Health and the Social Sciences, University of Chicago, Chicago, IL, USA.
J Gen Intern Med. 2020 Mar;35(3):815-823. doi: 10.1007/s11606-019-05530-5. Epub 2019 Nov 20.
Connecting patients to community-based resources is now a cornerstone of modern healthcare that supports self-management of health. The mechanisms that link resource information to behavior change, however, remain poorly understood.
To evaluate the impact of CommunityRx, an automated, low-intensity resource referral intervention, on patients' knowledge, beliefs, and use of community resources.
Real-world controlled clinical trial at an urban academic medical center in 2015-2016; participants were assigned by alternating week to receive the CommunityRx intervention or usual care. Surveys were administered at baseline, 1 week, 1 month, and 3 months.
Publicly insured adults, ages 45-74 years.
CommunityRx generated an automated, personalized list of resources, known as HealtheRx, near each participant's home using condition-specific, evidence-based algorithms. Algorithms used patient demographic and health characteristics documented in the electronic health record to identify relevant resources from a comprehensive, regularly updated database of health-related resources in the study area.
Using intent-to-treat analysis, we examined the impact of HealtheRx referrals on (1) knowledge of the most commonly referred resource types, including healthy eating classes, individual counseling, mortgage assistance, smoking cessation, stress management, and weight loss classes or groups, and (2) beliefs about having resources in the community to manage health.
In a real-world controlled trial of 374 adults, intervention recipients improved knowledge (AOR = 2.15; 95% CI, 1.29-3.58) and beliefs (AOR = 1.68; 95% CI, 1.07-2.64) about common resources in the community to manage health, specifically gaining knowledge about smoking cessation (AOR = 2.76; 95% CI, 1.07-7.12) and weight loss resources (AOR = 2.26; 95% CI 1.05-4.84). Positive changes in both knowledge and beliefs about community resources were associated with higher resource use (P = 0.02).
In a middle-age and older population with high morbidity, a low-intensity health IT intervention to deliver resource referrals promoted behavior change by increasing knowledge and positive beliefs about community resources for self-management of health.
NCT02435511.
将患者与社区资源联系起来,如今已成为现代医疗保健的基石,以支持健康的自我管理。然而,将资源信息与行为改变联系起来的机制仍知之甚少。
评估 CommunityRx(一种自动化的低强度资源推荐干预措施)对患者了解、信念和使用社区资源的影响。
2015-2016 年在城市学术医疗中心进行的真实世界对照临床试验;参与者按照交替周的方式分配接受 CommunityRx 干预或常规护理。在基线、1 周、1 个月和 3 个月时进行调查。
45-74 岁的公共保险成年人。
CommunityRx 使用特定于病情的循证算法,为每位参与者的家附近生成一个名为 HealtheRx 的自动化、个性化资源列表。算法使用电子健康记录中记录的患者人口统计学和健康特征,从研究区域内综合的、定期更新的健康相关资源数据库中识别相关资源。
我们使用意向治疗分析,考察了 HealtheRx 推荐对以下方面的影响:(1)对最常推荐的资源类型(包括健康饮食课程、个人咨询、抵押贷款援助、戒烟、压力管理和减肥课程或小组)的了解程度;(2)对社区内管理健康的资源的信念。
在一项针对 374 名成年人的真实世界对照试验中,干预组在以下方面提高了知识(优势比[OR] = 2.15;95%置信区间[CI],1.29-3.58)和信念(OR = 1.68;95% CI,1.07-2.64),即了解社区中用于管理健康的常见资源,特别是关于戒烟(OR = 2.76;95% CI,1.07-7.12)和减肥资源(OR = 2.26;95% CI,1.05-4.84)的知识。对社区资源的知识和信念的积极变化与更高的资源利用率相关(P = 0.02)。
在患有高发病率的中年和老年人群中,提供资源推荐的低强度健康信息技术干预措施通过增加对社区资源的了解和积极信念,促进了自我管理健康的行为改变。
NCT02435511。