ArticleBMC medical informatics and decision making2020
Readability of web-based sources about induced abortion: a cross-sectional study.
Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- A Health Professional Mentorship Platform to Improve Equitable Access to Abortion: Development, Usability, and Content Evaluation.JMIR human factors · 2025Article
- Higher readability of institutional websites drives the correct fruition of the abortion pathway: A cross-sectional study.PloS one · 2022Article
- Transjugular intrahepatic portosystemic shunt (TIPS) procedure: an assessment of the quality and readability of online information.BMC medical informatics and decision making · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh-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.
methodsThe 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.
resultsAcross 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.
conclusionsOverall, 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.