Chen Shiqi, Wu Yin, Kennedy Justin, Panza Gregory, Guidry Margaux Zwierko, Pescatello Linda S
Department of Kinesiology, University of Connecticut, Storrs, CT, USA.
Department of Research Design and Support, Hartford Hospital, Hartford, CT, USA.
Digit Health. 2025 Jul 16;11:20552076251360884. doi: 10.1177/20552076251360884. eCollection 2025 Jan-Dec.
Half of US adults have ≥1 cardiovascular disease (CVD) risk factors. Exercise is the first-line lifestyle therapy to prevent and treat CVD. We developed the Prioritize Personalize Prescribe Exercise algorithm (P3-EX), an evidence-based tool that clinicians can use to prescribe exercise for patients with CVD risk factors.
To conduct a feasibility survey study of user satisfaction and usability of P3-EX as an exercise prescription (ExRx) tool among healthcare providers.
Healthcare providers enter information on the patient's medical history and CVD risk factors into P3-EX. Prioritize Personalize Prescribe Exercise algorithm then scores and prioritizes CVD risk factors and produces an ExRx for the prioritized CVD risk factor. We recruited physicians ( = 39), nurses ( = 63), and allied health professionals ( = 231) who recommend exercise to patients through professional society meetings, presentations, newsletters, and investigators' networks. Participants completed a timed case study of a patient with CVD risk factors using P3-EX on a templated website. They then completed an adapted version of the Mobile Application Rating Scale, with responses ranging from 5 (completely agree) to 1 (completely disagree) to evaluate the ease of use, system information arrangement, and usefulness of P3-EX. Descriptive statistics determined the % response, time spent using P3-EX, and ExRx produced.
Of the 844 recruited participants, 309 completed the feasibility survey study (healthcare provider N = 143, people with other professional affiliates N = 166). Of these, 86.9% agreed using P3-EX will make their patients healthier; 86.6% agreed feedback is immediate and understandable; 81.4% agreed P3-EX is intuitive, producing high-quality, evidenced-based, individualized ExRx; 83.5% are generally satisfied with P3-EX; 81.3% would recommend P3-EX to colleagues; and 79.2% agreed ExRx produced by P3-EX is safe. However, 34.4% agreed fault tolerance could be improved. Most participants (88.8%) produced an ExRx for the same prioritized CVD risk factor. The average time spent using P3-EX was 4.6 min.
We found healthcare providers are satisfied with P3-EX and agreed that it is a usable ExRx tool for patients with CVD risk factors. Our results are promising because healthcare providers lack the time, knowledge, confidence, and guidance to recommend exercise to patients. Prioritize Personalize Prescribe Exercise algorithm appears to be a potential solution to this problem.
美国一半的成年人有≥1种心血管疾病(CVD)风险因素。运动是预防和治疗CVD的一线生活方式疗法。我们开发了“优先排序、个性化、开具运动处方算法”(P3-EX),这是一种基于证据的工具,临床医生可用于为有CVD风险因素的患者开具运动处方。
对医疗保健提供者中P3-EX作为运动处方(ExRx)工具的用户满意度和可用性进行可行性调查研究。
医疗保健提供者将患者病史和CVD风险因素的信息输入P3-EX。“优先排序、个性化、开具运动处方算法”然后对CVD风险因素进行评分和排序,并为优先的CVD风险因素生成一份ExRx。我们招募了通过专业协会会议、演讲、时事通讯和研究人员网络向患者推荐运动的医生(n = 39)、护士(n = 63)和专职医疗人员(n = 231)。参与者在一个模板化网站上使用P3-EX对一名有CVD风险因素的患者进行了限时案例研究。然后,他们完成了一个改编版的移动应用评分量表,回答范围从5(完全同意)到1(完全不同意),以评估P3-EX的易用性、系统信息安排和有用性。描述性统计确定了回答百分比、使用P3-EX的时间以及生成的ExRx。
在844名招募的参与者中,309人完成了可行性调查研究(医疗保健提供者n = 143,有其他专业附属关系的人n = 166)。其中,86.9%的人同意使用P3-EX会使他们的患者更健康;86.6%的人同意反馈是即时且易懂的;81.4%的人同意P3-EX直观,能生成高质量、基于证据的个性化ExRx;83.5%的人总体上对P3-EX满意;81.3%的人会向同事推荐P3-EX;79.2%的人同意P3-EX生成的ExRx是安全的。然而,34.4%的人同意容错性可以改进。大多数参与者(88.8%)为同一个优先的CVD风险因素生成了一份ExRx。使用P3-EX的平均时间为4.6分钟。
我们发现医疗保健提供者对P3-EX满意,并认为它是一种适用于有CVD风险因素患者的可用ExRx工具。我们的结果很有前景,因为医疗保健提供者缺乏向患者推荐运动的时间、知识、信心和指导。“优先排序、个性化、开具运动处方算法”似乎是解决这个问题的一个潜在方案。