• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估健康信息的阅读水平:弗莱什公式的用途及局限性

Assessing reading levels of health information: uses and limitations of flesch formula.

作者信息

Jindal Pranay, MacDermid Joy C

机构信息

Faculty of Health Sciences, School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada.

出版信息

Educ Health (Abingdon). 2017 Jan-Apr;30(1):84-88. doi: 10.4103/1357-6283.210517.

DOI:10.4103/1357-6283.210517
PMID:28707643
Abstract

BACKGROUND

Written health information is commonly used by health-care professionals (HCPs) to inform and assess patients in clinical practice. With growing self-management of many health conditions and increased information seeking behavior among patients, there is a greater stress on HCPs and researchers to develop and implement readable and understandable health information. Readability formulas such as Flesch Reading Ease (FRE) and Flesch-Kincaid Reading Grade Level (FKRGL) are commonly used by researchers and HCPs to assess if health information is reading grade appropriate for patients.

PURPOSE

In this article, we critically analyze the role and credibility of Flesch formula in assessing the reading level of written health information.

DISCUSSION

FRE and FKRGL assign a grade level by measuring semantic and syntactic difficulty. They serve as a simple tool that provides some information about the potential literacy difficulty of written health information. However, health information documents often involve complex medical words and may incorporate pictures and tables to improve the legibility. In their assessments, FRE and FKRGL do not take into account (1) document factors (layout, pictures and charts, color, font, spacing, legibility, and grammar), (2) person factors (education level, comprehension, health literacy, motivation, prior knowledge, information needs, anxiety levels), and (3) style of writing (cultural sensitivity, comprehensiveness, and appropriateness), and thus, inadequately assess reading level. New readability measures incorporate pictures and use complex algorithms to assess reading level but are only moderately used in health-care research and not in clinical practice. Future research needs to develop generic and disease-specific readability measures to evaluate comprehension of a written document based on individuals' literacy levels, cultural background, and knowledge of disease.

摘要

背景

在临床实践中,医疗保健专业人员(HCPs)通常使用书面健康信息来告知和评估患者。随着许多健康状况的自我管理不断增加以及患者信息寻求行为的增多,HCPs和研究人员在开发和实施易读易懂的健康信息方面面临更大压力。研究人员和HCPs通常使用诸如弗莱什易读性(FRE)和弗莱什 - 金凯德阅读年级水平(FKRGL)等易读性公式来评估健康信息的阅读年级水平是否适合患者。

目的

在本文中,我们批判性地分析了弗莱什公式在评估书面健康信息阅读水平方面的作用和可信度。

讨论

FRE和FKRGL通过测量语义和句法难度来确定年级水平。它们是一种简单的工具,可提供有关书面健康信息潜在识字难度的一些信息。然而,健康信息文件通常包含复杂的医学词汇,并且可能包含图片和表格以提高易读性。在评估中,FRE和FKRGL没有考虑到:(1)文件因素(布局、图片和图表、颜色、字体、间距、易读性和语法);(2)个人因素(教育水平、理解能力、健康素养、动机、先验知识、信息需求、焦虑水平);以及(3)写作风格(文化敏感性、全面性和适当性),因此不能充分评估阅读水平。新的易读性测量方法纳入了图片并使用复杂算法来评估阅读水平,但在医疗保健研究中仅得到适度使用,在临床实践中则未被使用。未来的研究需要开发通用的和针对特定疾病的易读性测量方法,以根据个人的识字水平、文化背景和疾病知识来评估书面文件的理解情况。

相似文献

1
Assessing reading levels of health information: uses and limitations of flesch formula.评估健康信息的阅读水平:弗莱什公式的用途及局限性
Educ Health (Abingdon). 2017 Jan-Apr;30(1):84-88. doi: 10.4103/1357-6283.210517.
2
Assessing readability formula differences with written health information materials: application, results, and recommendations.评估阅读公式差异与书面健康信息材料:应用、结果和建议。
Res Social Adm Pharm. 2013 Sep-Oct;9(5):503-16. doi: 10.1016/j.sapharm.2012.05.009. Epub 2012 Jul 25.
3
Assessment of online patient education materials from major ophthalmologic associations.主要眼科协会在线患者教育材料评估。
JAMA Ophthalmol. 2015 Apr;133(4):449-54. doi: 10.1001/jamaophthalmol.2014.6104.
4
Health literacy and the readability of written information for hormone therapies.健康素养与激素治疗相关书面信息的可读性
J Midwifery Womens Health. 2013 May-Jun;58(3):265-70. doi: 10.1111/jmwh.12036. Epub 2013 Apr 30.
5
Readability of neurosurgery-related patient education materials provided by the American Association of Neurological Surgeons and the National Library of Medicine and National Institutes of Health.神经外科相关患者教育材料的可读性:美国神经外科学会、美国国家医学图书馆、美国国立卫生研究院的提供情况
World Neurosurg. 2013 Nov;80(5):e33-9. doi: 10.1016/j.wneu.2011.09.007. Epub 2011 Nov 7.
6
Health literacy and the Internet: a study on the readability of Australian online health information.健康素养与互联网:一项关于澳大利亚在线健康信息可读性的研究。
Aust N Z J Public Health. 2015 Aug;39(4):309-14. doi: 10.1111/1753-6405.12341. Epub 2015 Feb 25.
7
A readability assessment of online stroke information.在线中风信息的可读性评估。
J Stroke Cerebrovasc Dis. 2014 Jul;23(6):1362-7. doi: 10.1016/j.jstrokecerebrovasdis.2013.11.017. Epub 2014 Jan 3.
8
Readability Levels of Dental Patient Education Brochures.牙科患者教育手册的可读性水平。
J Dent Hyg. 2016 Feb;90(1):28-34.
9
Readability of Individuals With Disabilities Education Act Part B Procedural Safeguards: An Update.《残疾人教育法案(IDEA)B 部分程序保障条款可读性:更新》。
Lang Speech Hear Serv Sch. 2019 Jul 12;50(3):373-384. doi: 10.1044/2018_LSHSS-18-0057. Epub 2019 Apr 25.
10
The Readability of AAOS Patient Education Materials: Evaluating the Progress Since 2008.美国矫形外科医师学会患者教育材料的可读性:评估自2008年以来的进展
J Bone Joint Surg Am. 2016 Sep 7;98(17):e70. doi: 10.2106/JBJS.15.00658.

引用本文的文献

1
Evaluating ChatGPT's Utility in Biologic Therapy for Systemic Lupus Erythematosus: Comparative Study of ChatGPT and Google Web Search.评估ChatGPT在系统性红斑狼疮生物治疗中的效用:ChatGPT与谷歌网络搜索的比较研究
JMIR Form Res. 2025 Aug 28;9:e76458. doi: 10.2196/76458.
2
The Use of ChatGPT-4.0 to Simplify Breast Pathology Reports: A Study on Readability and Accuracy.使用ChatGPT-4.0简化乳腺病理报告:可读性与准确性研究
Ann Surg Oncol. 2025 Jul 21. doi: 10.1245/s10434-025-17860-2.
3
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain.
MedReadMe:医学领域细粒度句子可读性的系统研究。
Proc Conf Empir Methods Nat Lang Process. 2024 Nov;2024:17293-17319. doi: 10.18653/v1/2024.emnlp-main.958.
4
Artificial intelligence chatbots as a source of virtual social support: Implications for loneliness and anxiety management.作为虚拟社会支持来源的人工智能聊天机器人:对孤独和焦虑管理的启示。
Ann N Y Acad Sci. 2025 Jul;1549(1):148-159. doi: 10.1111/nyas.15400. Epub 2025 Jun 26.
5
Evaluating the Effectiveness of ChatGPT and Google Gemini in Providing Lung Cancer Screening Recommendations for Vulnerable Communities.评估ChatGPT和谷歌Gemini为弱势群体提供肺癌筛查建议的有效性。
CHEST Pulm. 2025 Jun;3(2). doi: 10.1016/j.chpulm.2025.100167. Epub 2025 Apr 3.
6
Advancing large language models as patient education tools for inflammatory bowel disease.推进大型语言模型作为炎症性肠病的患者教育工具。
World J Gastroenterol. 2025 May 28;31(20):105285. doi: 10.3748/wjg.v31.i20.105285.
7
Readability of online patient education materials for cervical disc replacement.颈椎间盘置换术在线患者教育材料的可读性
Eur Spine J. 2025 May 23. doi: 10.1007/s00586-025-08942-6.
8
Exploring large language models for summarizing and interpreting an online brain tumor support forum.探索用于总结和解读在线脑肿瘤支持论坛的大语言模型。
Digit Health. 2025 Apr 22;11:20552076251337345. doi: 10.1177/20552076251337345. eCollection 2025 Jan-Dec.
9
Assessing artificial intelligence-generated patient discharge information for the emergency department: a pilot study.评估急诊科人工智能生成的患者出院信息:一项试点研究。
Int J Emerg Med. 2025 Apr 25;18(1):85. doi: 10.1186/s12245-025-00885-5.
10
Readability of health research informed consent forms: case of the National Health Research Ethics Committee in Tanzania.健康研究知情同意书的可读性:以坦桑尼亚国家卫生研究伦理委员会为例。
BMC Med Ethics. 2025 Apr 22;26(1):50. doi: 10.1186/s12910-025-01200-w.