Readability of web-based sources about induced abortion: a cross-sectional study

Author:

Georgsson Susanne,Carlsson TommyORCID

Abstract

Abstract Background High-quality information is essential if clients who request an abortion are to reach informed decisions and feel prepared for the procedure, but little is known concerning the readability of web-based sources containing such material. The aim was to investigate the readability of web-based information about induced abortion. Methods The search engine Google was used to identify web pages about induced abortion, written in the English language. A total of 240 hits were screened and 236 web pages fulfilled the inclusion criteria. After correcting for duplicate hits, 185 web pages were included. The readability of the text-based content of each web page was determined with Flesch Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Simple Measure of Gobbledygook, and Flesch Reading Ease. Data were analyzed with descriptive statistics, Pearson’s correlation coefficient and Kruskal-Wallis with Dunn’s test as post hoc analysis. Results Across all grade level measures, a small minority of the web pages had a readability corresponding to elementary school (n < 3, 1%), while the majority had readability corresponding to senior high school or above (n > 153, 65%). The means of the grade level measures ranged between 10.5 and 13.1, and the mean Flesch Reading Ease score was 45.3 (SD 13.6). Only weak correlations (rho < 0.2) were found between the readability measures and search rank in the hit lists. Consistently, web pages affiliated with health care had the least difficult readability and those affiliated with scientific sources had the most difficult readability. Conclusions Overall, web-based information about induced abortions has difficult readability. Incentives are needed to improve the readability of these texts and ensure that clients encounter understandable information so that they may reach informed decisions and feel adequately prepared when requesting an abortion.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference50 articles.

1. Sedgh G, Bearak J, Singh S, Bankole A, Popinchalk A, Ganatra B, et al. Abortion incidence between 1990 and 2014: global, regional, and subregional levels and trends. Lancet. 2016;388:258–67.

2. Dennis A, Blanchard K, Bessenaar T. Identifying indicators for quality abortion care: a systematic literature review. J Fam Plann Reprod Health Care. 2017;43:7–15.

3. Royal College of Obstetricians and Gynaecologists. The care of women requesting induced abortion: evidence-based clinical guideline number 7. London: RCOG Press; 2011.

4. The American College of Obstetricians and Gynecologists. Legislative interderence with patient care, medical decisions, and the patient-physician relationship; 2019. https://www.acog.org/-/media/Statements-of-Policy/Public/89LegislativeInterference2019.pdf?dmc=1&ts=20191018T0909065518. Accessed 18 Oct 2019.

5. Tucker EB. Shared decision-making and decision support: their role in obstetrics and gynecology. Curr Opin Obstet Gynecol. 2014;26:523–30.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3