监测健康状况是在自我保健旅程中对预防和早期治疗行动进行分类的机会:我们使用保健品红记分卡的经验。

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES mHealth Pub Date : 2023-04-24 eCollection Date: 2023-01-01 DOI:10.21037/mhealth-22-56
Vinícius Ynoe de Moraes, Rafael Pereira Silva, Camila Kaory Kawagoe, Pedro Ricardo Pereira Távora, Nicolle Cassola, Mário Ferretti
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引用次数: 1

摘要

背景:应用数字健康干预措施来衡量健康和福祉状况,为指导和加强医疗保健和促进提供了机会。在我们的场景中,我们主要考虑数字原生患者,并为此目的对新的Healthcare Magenta记分卡进行评估。方法:以健康和促进的六个领域为基础(体育活动;睡眠质量;营养;习惯/生活方式;心理健康;我们开发了一种健康Magenta记分卡(Magenta Score),这是一种基于移动的电子患者报告结果(e-PRO),每3-5个月测量一次患者的健康和福祉。Magenta记分卡来源于以前发表的基于证据的工具。我们在患者进入我们的医疗保健系统时收集数据(T0和T1,测量之间的时间跨度,141天),并提供我们护理领域之间的相关性。结果:共有1,622名参与者对我们的Magenta记分卡的T0和T1有反应。参与者的平均年龄为31.3岁[95%可信区间(CI): 31.2-31.5],女性占63.4%。55% (n=892)的样本被归类为与健康和福祉促进有关,8.5% (n=138)的疾病管理,35.7% (n=579)的自我保健护理支持,只有0.8% (n=13)属于病例管理。根据我们的护理协调指导方法,我们的Magenta记分卡报告了整个研究队列中26±标准差(SD)点的平均改善,从T0 (649, 95% CI: 643-656)到T1 (675, 95% CI: 668-682)。我们的品红计分卡域有显著的,尽管是弱的spearman相关性。结论:我们展示了我们的Magenta记分卡原理和它的指导方法。Magenta记分卡显示了足够的反应性,并且在所有被调查的领域中都有显著的相关性。需要进一步的前瞻性研究来长期验证我们的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Monitoring health as an opportunity to categorize preventative and early-treatment actions in a self-care journey: our experience with a Healthcare Magenta Scorecard.

Background: Applying a digital health intervention to measure health and wellbeing status offers opportunities to guide and augment healthcare and promotion. In our scenario, we consider mainly digital-native patients and present an evaluation of a new Healthcare Magenta Scorecard towards this end.

Methods: Grounded in the six domains of health and promotion (physical activity; sleep quality; nutrition; habits/lifestyle; mental health; quality of life) we developed a health Magenta Scorecard (Magenta Score), a mobile based Electronic Patient Reported Outcomes (e-PRO) that measures patients health and wellbeing every 3-5 months. The Magenta Scorecard was derived from previously published evidence-based instruments. We collected data as patients were onboarded into our healthcare system (T0 and T1, time span between measurements, 141 days) and provided correlations among our domains of care.

Results: A total of 1,622 participants responded to T0 and T1 our Magenta Scorecard. Participants mean age was 31.3 [95% confidence interval (CI): 31.2-31.5] years and female (63.4%). Fifty-five percent (n=892) of our sample were categorized as relating to Health and Wellbeing promotion, 8.5% (n=138) disease management, 35.7% (n=579) self-care care support and only 0.8% (n=13) pertained to case management. From our care coordination guided approach, our Magenta Scorecards reported mean improvement across the study cohort of 26 ± standard deviation (SD) points, from T0 (649, 95% CI: 643-656) to T1 (675, 95% CI: 668-682). Our Magenta Scorecard domains had significant, albeit weak spearman correlations.

Conclusions: We demonstrated our Magenta Scorecard rationale and its guided approach. The Magenta Scorecard displayed adequate responsiveness and was significantly correlated across all of the domains investigated. Further prospective research is needed to validate our results in the long term.

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