为用药过量接触点开发实时仪表板:以用户为中心的设计方法。

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2024-06-11 DOI:10.2196/57239
Amey Salvi, Logan A Gillenwater, Brandon P Cockrum, Sarah E Wiehe, Kaitlyn Christian, John Cayton, Timothy Bailey, Katherine Schwartz, Allyson L Dir, Bradley Ray, Matthew C Aalsma, Khairi Reda
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引用次数: 0

摘要

背景:用药过量死亡审查 (OFR) 是制定社区用药过量预防策略的重要公共卫生工具。然而,药物过量死亡审查小组每次只审查几个案例,而这些案例通常只占其管辖范围内死亡案例总数的一小部分。这种有限的审查可能导致对当地用药过量模式的片面理解,从而导致政策建议不能完全满足更广泛的社区需求:本研究探讨了利用数据仪表板增强传统 OFR 的潜力,将接触点(用药过量前的事件)可视化,以突出预防机会:我们对 OFR 专家进行了 2 次焦点小组讨论和 1 次调查,以了解他们的信息需求,并设计了一个实时仪表板,用于跟踪和衡量死者过去在印第安纳州与服务机构的互动情况。专家们(N=27)参与其中,就需要纳入的基本数据功能发表了见解,并提供了反馈意见以指导可视化的开发:研究结果强调了显示死者与医疗服务(紧急医疗服务)和司法系统(监禁)互动的重要性。此外,还强调了保持死者匿名(尤其是在小社区)以及对 OFR 成员进行数据解读培训的必要性。开发的仪表板总结了关键接触点指标,包括流行率、互动频率、接触点与过量用药之间的时间间隔,可在县和州级查看数据。在初步评估中,该仪表板因其全面的数据覆盖范围及其加强 OFR 建议和案例选择的潜力而广受好评:印第安纳州的 "接触点 "仪表盘是第一个显示实时可视化数据的仪表盘,它将全州的行政管理数据和用药过量死亡率数据联系在一起。这一资源使地方卫生官员和 OFR 能够及时、定量和时空地深入了解其所在社区的用药过量风险因素,从而促进数据驱动的干预措施和政策变化。不过,要将仪表板完全融入 OFR 的实践中,可能需要对团队进行数据解读和决策方面的培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Real-Time Dashboard for Overdose Touchpoints: User-Centered Design Approach.

Background: Overdose Fatality Review (OFR) is an important public health tool for shaping overdose prevention strategies in communities. However, OFR teams review only a few cases at a time, which typically represent a small fraction of the total fatalities in their jurisdiction. Such limited review could result in a partial understanding of local overdose patterns, leading to policy recommendations that do not fully address the broader community needs.

Objective: This study explored the potential to enhance conventional OFRs with a data dashboard, incorporating visualizations of touchpoints-events that precede overdoses-to highlight prevention opportunities.

Methods: We conducted 2 focus groups and a survey of OFR experts to characterize their information needs and design a real-time dashboard that tracks and measures decedents' past interactions with services in Indiana. Experts (N=27) were engaged, yielding insights on essential data features to incorporate and providing feedback to guide the development of visualizations.

Results: The findings highlighted the importance of showing decedents' interactions with health services (emergency medical services) and the justice system (incarcerations). Emphasis was also placed on maintaining decedent anonymity, particularly in small communities, and the need for training OFR members in data interpretation. The developed dashboard summarizes key touchpoint metrics, including prevalence, interaction frequency, and time intervals between touchpoints and overdoses, with data viewable at the county and state levels. In an initial evaluation, the dashboard was well received for its comprehensive data coverage and its potential for enhancing OFR recommendations and case selection.

Conclusions: The Indiana touchpoints dashboard is the first to display real-time visualizations that link administrative and overdose mortality data across the state. This resource equips local health officials and OFRs with timely, quantitative, and spatiotemporal insights into overdose risk factors in their communities, facilitating data-driven interventions and policy changes. However, fully integrating the dashboard into OFR practices will likely require training teams in data interpretation and decision-making.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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