National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand.
School of Psychology, University of Waikato, Hamilton, New Zealand.
Int J Stroke. 2024 Jan;19(1):94-104. doi: 10.1177/17474930231190745. Epub 2023 Aug 19.
Most strokes and cardiovascular diseases (CVDs) are potentially preventable if their risk factors are identified and well controlled. Digital platforms, such as the PreventS-MD web app (PreventS-MD) may aid health care professionals (HCPs) in assessing and managing risk factors and promoting lifestyle changes for their patients.
This is a mixed-methods cross-sectional two-phase survey using a largely positivist (quantitative and qualitative) framework. During Phase 1, a prototype of PreventS-MD was tested internationally by 59 of 69 consenting HCPs of different backgrounds, age, sex, working experience, and specialties using hypothetical data. Collected comments/suggestions from the study HCPs in Phase 1 were reviewed and implemented. In Phase 2, a near-final version of PreventS-MD was developed and tested by 58 of 72 consenting HCPs using both hypothetical and real patient (n = 10) data. Qualitative semi-structured interviews with real patients (n = 10) were conducted, and 1 month adherence to the preventive recommendations was assessed by self-reporting. The four System Usability Scale (SUS) groups of scores (0-50 unacceptable; 51-68 poor; 68-80.3 good; >80.3 excellent) were used to determine usability of PreventS-MD.
Ninety-nine HCPs from 27 countries (45% from low- to middle-income countries) participated in the study, and out of them, 10 HCPs were involved in the development of PreventS before the study, and therefore were not involved in the survey. Of the remaining 89 HCPs, 69 consented to the first phase of the survey, and 59 of them completed the first phase of the survey (response rate 86%), and 58 completed the second phase of the survey (response rate 84%). The SUS scores supported good usability of the prototype (mean score = 80.2; 95% CI [77.0-84.0]) and excellent usability of the final version of PreventS-MD (mean score = 81.7; 95% CI [79.1-84.3]) in the field. Scores were not affected by the age, sex, working experience, or specialty of the HCPs. One-month follow-up of the patients confirmed the high level of satisfaction/acceptability of PreventS-MD and (100%) adherence to the recommendations.
The PreventS-MD web app has a high level of usability, feasibility, and satisfaction by HCPs and individuals at risk of stroke/CVD. Individuals at risk of stroke/CVD demonstrated a high level of confidence and motivation in following and adhering to preventive recommendations generated by PreventS-MD.
如果能识别并有效控制中风和心血管疾病（CVD）的风险因素，多数此类疾病是可以预防的。数字平台，如 PreventS-MD 网络应用程序（PreventS-MD），可以帮助医疗保健专业人员（HCP）评估和管理风险因素，并为患者促进生活方式的改变。
这是一个混合方法的两阶段横断面调查，主要采用实证主义（定量和定性）框架。在第一阶段，来自不同背景、年龄、性别、工作经验和专业的 69 名 HCP 中的 59 名同意参与研究，使用假设数据对 PreventS-MD 的原型进行了国际测试。研究 HCP 在第一阶段收集的评论/建议进行了审查和实施。在第二阶段，使用假设和真实患者（n=10）数据，对 72 名同意参与研究的 58 名 HCP 开发和测试了接近最终版本的 PreventS-MD。对 10 名真实患者（n=10）进行了半结构化定性访谈，并通过自我报告评估了 1 个月内对预防建议的遵守情况。使用四个系统可用性量表（SUS）评分组（0-50 不可接受；51-68 差；68-80.3 好；>80.3 优秀）来确定 PreventS-MD 的可用性。
来自 27 个国家的 99 名 HCP 参与了研究（45%来自中低收入国家），其中 10 名 HCP 参与了 PreventS 的开发，因此未参与调查。在其余 89 名 HCP 中，69 名同意参加第一阶段的调查，其中 59 名完成了第一阶段的调查（响应率为 86%），58 名完成了第二阶段的调查（响应率为 84%）。SUS 评分支持原型（平均得分为 80.2；95%CI[77.0-84.0]）具有良好的可用性，以及最终版本的 PreventS-MD（平均得分为 81.7；95%CI[79.1-84.3]）在现场具有出色的可用性。评分不受 HCP 的年龄、性别、工作经验或专业的影响。对患者的一个月随访证实了 PreventS-MD 的高满意度/可接受性和（100%）对建议的遵守。
PreventS-MD 网络应用程序具有很高的可用性、可行性和 HCP 及中风/CVD 风险个体的满意度。中风/CVD 风险个体对遵循和遵守 PreventS-MD 生成的预防建议表现出高度的信心和动力。
