Statical: Evaluation of an open access biostatistics tool.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Health Informatics Journal Pub Date : 2026-04-01 Epub Date: 2026-06-08 DOI:10.1177/14604582261450831
Tanguy Pace-Loscos, Jocelyn Gal, Sara Contu, Renaud Schiappa, Emmanuel Chamorey, Dorian Culié
{"title":"Statical: Evaluation of an open access biostatistics tool.","authors":"Tanguy Pace-Loscos, Jocelyn Gal, Sara Contu, Renaud Schiappa, Emmanuel Chamorey, Dorian Culié","doi":"10.1177/14604582261450831","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundStatistical analysis is crucial in clinical research, but many clinicians lack training or support. StatiCAL, a free and intuitive tool, was created to address this gap without needing coding skills. This study evaluates its effectiveness and usability by analyzing physicians' performance and perceptions during real-world statistical tasks.MethodsWe conducted a cross-sectional study evaluating StatiCAL's usability and effectiveness. Surgical physicians analyzed a clinical dataset using StatiCAL after completing a background questionnaire. Usability was measured with the French SUS, and all analyses were independently verified in R.ResultsFourteen physicians with limited prior experience in statistical analysis participated. All successfully completed the assigned tasks using StatiCAL, with an average completion time of 28 minutes. Interestingly, participants without prior experience completed tasks significantly faster than those with experience (p = 0.044). The average F-SUS score was 85.33, indicating high usability above the standard threshold.ConclusionsStatiCAL showed high usability and effectiveness, allowing clinicians, regardless of prior experience, to perform accurate statistical analyses efficiently. Its intuitive interface supports broader access to biostatistics, encourages collaboration with specialists, and simplifies research workflows. Further studies with larger, more diverse populations are needed to confirm and expand these findings.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"32 2","pages":"14604582261450831"},"PeriodicalIF":2.2000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Informatics Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/14604582261450831","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/8 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

BackgroundStatistical analysis is crucial in clinical research, but many clinicians lack training or support. StatiCAL, a free and intuitive tool, was created to address this gap without needing coding skills. This study evaluates its effectiveness and usability by analyzing physicians' performance and perceptions during real-world statistical tasks.MethodsWe conducted a cross-sectional study evaluating StatiCAL's usability and effectiveness. Surgical physicians analyzed a clinical dataset using StatiCAL after completing a background questionnaire. Usability was measured with the French SUS, and all analyses were independently verified in R.ResultsFourteen physicians with limited prior experience in statistical analysis participated. All successfully completed the assigned tasks using StatiCAL, with an average completion time of 28 minutes. Interestingly, participants without prior experience completed tasks significantly faster than those with experience (p = 0.044). The average F-SUS score was 85.33, indicating high usability above the standard threshold.ConclusionsStatiCAL showed high usability and effectiveness, allowing clinicians, regardless of prior experience, to perform accurate statistical analyses efficiently. Its intuitive interface supports broader access to biostatistics, encourages collaboration with specialists, and simplifies research workflows. Further studies with larger, more diverse populations are needed to confirm and expand these findings.

统计学:开放获取生物统计学工具的评估。
统计分析在临床研究中至关重要,但许多临床医生缺乏培训或支持。ststatic是一款免费且直观的工具,旨在解决这一问题,而无需编码技能。本研究通过分析医生在现实世界统计任务中的表现和感知来评估其有效性和可用性。方法我们进行了一项横断面研究,评估static的可用性和有效性。外科医生在完成一份背景调查问卷后,使用static分析了临床数据集。可用性采用法国SUS进行测量,所有分析均在r中进行独立验证。结果参与的14名医生在统计分析方面的经验有限。所有人都成功地使用static完成了分配的任务,平均完成时间为28分钟。有趣的是,没有经验的参与者完成任务的速度明显快于有经验的参与者(p = 0.044)。F-SUS平均得分为85.33,表明易用性高于标准阈值。结论stical显示了较高的可用性和有效性,使临床医生无论是否有经验,都能有效地进行准确的统计分析。其直观的界面支持更广泛的生物统计学访问,鼓励与专家合作,并简化了研究工作流程。需要对更大、更多样化的人群进行进一步的研究来证实和扩展这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书