Higher readability of institutional websites drives the correct fruition of the abortion pathway: A cross-sectional study

PLoS One. 2022 Nov 4;17(11):e0277342. doi: 10.1371/journal.pone.0277342. eCollection 2022.

Abstract

Background: In Italy, abortion services are public: therefore, health Institutions should provide clear and easily readable web-based information. We aimed to 1) assess variation in abortion services utilisation; 2) analyse the readability of institutional websites informing on induced abortion; 3) explore whether easier-to-read institutional websites influenced the correct fruition of abortion services.

Methods: We identified from the 2021 administrative databases of Tuscany all women having an abortion, and-among them-women having an abortion with the certification provided by family counselling centres, following the pathway established by law. We assessed variation in total and certified abortion rates by computing the Systematic Component of Variation. We analysed the readability of the Tuscan health authorities' websites using the readability assessment tool READ-IT. We explored how institutional website readability influenced the odds of having certified abortions by running multilevel logistic models, considering health authorities as the highest-level variables.

Results: We observed high variation in the correct utilization of the abortion pathway in terms of certified abortion rates. The READ-IT scores showed that the most readable text was from the Florence Teaching Hospital website. Multilevel models revealed that higher READ-IT scores, corresponding to more difficult texts, resulted in lower odds of certified abortions.

Conclusions: Large variation in the proper fruition of abortion pathways occurs in Tuscany, and such variation may depend on readability of institutional websites informing on induced abortion. Therefore, health Institutions should monitor and improve the readability of their websites to ensure proper and more equitable access to abortion.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abortion, Induced*
  • Academic Medical Centers
  • Comprehension
  • Consumer Health Information*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Internet
  • Pregnancy
  • Reading

Grants and funding

The data sources were funded as part of the research activities of the MeS Lab of Sant’Anna School of Advanced Studies. Such activities were funded by the Regional Health Authority of Tuscany under a collaboration agreement with Sant’Anna School. The Tuscany Region had no role in study design, data collection and analysis, or writing and submitting the article for publication.