Usage Patterns of Web-Based Stroke Calculators in Clinical Decision Support: Retrospective Analysis.
Usage Patterns of Web-Based Stroke Calculators in Clinical Decision Support: Retrospective Analysis.
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DOI：
10.2196/28266
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发表时间：
2021-08-02
影响因子：
3.2
通讯作者：
Jetté N
中科院分区：
文献类型：
--
作者：
Kummer B;Shakir L;Kwon R;Habboushe J;Jetté N
临床评分常用于脑卒中的诊断和治疗。虽然医疗计算器越来越成为临床决策的重要辅助工具，但普通医疗计算器对中风的吸收和使用仍然缺乏特征。我们的目的是描述在基于网络的支持系统的临床决策中经常使用的中风相关医疗计算器的使用模式。我们对来自MDCalc的计算器进行了回顾性研究，MDCalc是一个基于网络和移动应用程序的医疗计算器平台，总部位于美国。我们分析了MDCalc计算器使用数据中的元数据标签，以识别与中风相关的所有计算器。使用相对页面浏览量作为计算器使用的衡量标准，我们确定了2016年1月至2018年12月期间最常用的5种与笔划相关的计算器。对于所有5个计算器，我们确定了累积和季度使用，访问模式（例如，应用程序或网页浏览器），以及美国和国际使用分布。我们将2016-2018年期间的累计使用量与2011年1月至2015年12月的使用量进行了比较。在研究期间，我们确定了454例MDCalc计算器，其中48例（10.6%）与中风有关。其中，最常用的5种计算器是房颤卒中风险计算器的CHA2DS2-VASc评分（占总浏览量的5.5%，占卒中相关页面浏览量的32%）、平均动脉压计算器（占总浏览量的2.4%，占卒中相关页面浏览量的14.0%）、主要出血风险的ha - bled评分（占总浏览量的1.9%，占卒中相关页面浏览量的11.4%）、美国国立卫生研究院卒中量表评分计算器（占总浏览量的1.7%，占卒中相关页面浏览量的10.1%）。心房颤动卒中风险计算器CHADS2评分（占卒中相关页面浏览量的1.4%和8.1%）。网页浏览器是最常见的访问方式，占个人笔画计算器页面浏览量的82.7%-91.2%。访问最频繁地起源于美国人口最多的地区。在国际上，这种用法主要起源于英语国家。NIHSS分数计算器显示，在研究期间的第一季度和最后一个季度之间，页面浏览量的增幅最大（增幅为238.1%）。最常用的中风计算器是CHA2DS2-VASc、平均动脉压、HAS-BLED、NIHSS和CHADS2。这些主要是通过网络浏览器访问的，来自英语国家，以及人口稠密的地区。进一步的研究应该调查卒中计算器采用的障碍以及计算器使用对脑血管疾病最佳实践应用的影响。
Clinical scores are frequently used in the diagnosis and management of stroke. While medical calculators are increasingly important support tools for clinical decisions, the uptake and use of common medical calculators for stroke remain poorly characterized. We aimed to describe use patterns in frequently used stroke-related medical calculators for clinical decisions from a web-based support system. We conducted a retrospective study of calculators from MDCalc, a web-based and mobile app–based medical calculator platform based in the United States. We analyzed metadata tags from MDCalc’s calculator use data to identify all calculators related to stroke. Using relative page views as a measure of calculator use, we determined the 5 most frequently used stroke-related calculators between January 2016 and December 2018. For all 5 calculators, we determined cumulative and quarterly use, mode of access (eg, app or web browser), and both US and international distributions of use. We compared cumulative use in the 2016-2018 period with use from January 2011 to December 2015. Over the study period, we identified 454 MDCalc calculators, of which 48 (10.6%) were related to stroke. Of these, the 5 most frequently used calculators were the CHA2DS2-VASc score for atrial fibrillation stroke risk calculator (5.5% of total and 32% of stroke-related page views), the Mean Arterial Pressure calculator (2.4% of total and 14.0% of stroke-related page views), the HAS-BLED score for major bleeding risk (1.9% of total and 11.4% of stroke-related page views), the National Institutes of Health Stroke Scale (NIHSS) score calculator (1.7% of total and 10.1% of stroke-related page views), and the CHADS2 score for atrial fibrillation stroke risk calculator (1.4% of total and 8.1% of stroke-related page views). Web browser was the most common mode of access, accounting for 82.7%-91.2% of individual stroke calculator page views. Access originated most frequently from the most populated regions within the United States. Internationally, use originated mostly from English-language countries. The NIHSS score calculator demonstrated the greatest increase in page views (238.1% increase) between the first and last quarters of the study period. The most frequently used stroke calculators were the CHA2DS2-VASc, Mean Arterial Pressure, HAS-BLED, NIHSS, and CHADS2. These were mainly accessed by web browser, from English-speaking countries, and from highly populated areas. Further studies should investigate barriers to stroke calculator adoption and the effect of calculator use on the application of best practices in cerebrovascular disease.
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影响因子：
11
作者：
de Rooij, N. K.;Linn, F. H. H.;Rinkel, G. J. E.
通讯作者：
Rinkel, G. J. E.
影响因子：
158.5
作者：
Berkhemer, O. A.;Fransen, P. S. S.;Dippel, D. W. J.
通讯作者：
Dippel, D. W. J.
DOI：
10.3174/ajnr.a2156
发表时间：
2010-10
期刊：
AJNR. American journal of neuroradiology
影响因子：
--
作者：
Delgado Almandoz JE;Schaefer PW;Goldstein JN;Rosand J;Lev MH;González RG;Romero JM
通讯作者：
Romero JM
DOI：
10.1093/jamia/ocx080
发表时间：
2017-11-01
影响因子：
6.4
作者：
Adler-Milstein, Julia;Holmgren, A. Jay;Patel, Vaishali
通讯作者：
Patel, Vaishali
影响因子：
5.7
作者：
Feigin VL;Krishnamurthi RV;Parmar P;Norrving B;Mensah GA;Bennett DA;Barker-Collo S;Moran AE;Sacco RL;Truelsen T;Davis S;Pandian JD;Naghavi M;Forouzanfar MH;Nguyen G;Johnson CO;Vos T;Meretoja A;Murray CJ;Roth GA;GBD 2013 Writing Group;GBD 2013 Stroke Panel Experts Group
通讯作者：
GBD 2013 Stroke Panel Experts Group