Literature DB >> 29854201

The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study.

Partha Mukherjee1, Gondy Leroy1, David Kauchak2, Brianda Armenta Navarrete1, Damian Y Diaz1, Sonia Colina1.   

Abstract

Simplifying medical texts facilitates readability and comprehension. While most simplification work focuses on English, we investigate whether features important for simplifying English text are similarly helpful for simplifying Spanish text. We conducted a user study on 15 Spanish medical texts using Amazon Mechanical Turk and measured perceived and actual difficulty. Using the median of the difficulty scores, we split the texts into easy and difficult groups and extracted 10 surface, 2 semantic and 4 grammatical features. Using t-tests, we identified those features that significantly distinguish easy text from difficult text in Spanish and compare with prior work in English. We found that easy Spanish texts use more repeated words and adverbs, less negations and more familiar words, similar to English. Also like English, difficult Spanish texts use more nouns and adjectives. However in contrast to English, easier Spanish texts contained longer sentences and used grammatical structures that were more varied.

Mesh:

Year:  2018        PMID: 29854201      PMCID: PMC5977682     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  21 in total

1.  The effect of word familiarity on actual and perceived text difficulty.

Authors:  Gondy Leroy; David Kauchak
Journal:  J Am Med Inform Assoc       Date:  2013-10-07       Impact factor: 4.497

Review 2.  Readability of patient education materials: implications for clinical practice.

Authors:  J Albright; C de Guzman; P Acebo; D Paiva; M Faulkner; J Swanson
Journal:  Appl Nurs Res       Date:  1996-08       Impact factor: 2.257

3.  Improving perceived and actual text difficulty for health information consumers using semi-automated methods.

Authors:  Gondy Leroy; James E Endicott; Obay Mouradi; David Kauchak; Melissa L Just
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

4.  How (not) to inform patients about drug use: use and effects of negations in Dutch patient information leaflets.

Authors:  Christian Burgers; Camiel J Beukeboom; Lisa Sparks; Vera Diepeveen
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-07-15       Impact factor: 2.890

5.  The influence of text characteristics on perceived and actual difficulty of health information.

Authors:  Gondy Leroy; Stephen Helmreich; James R Cowie
Journal:  Int J Med Inform       Date:  2010-03-04       Impact factor: 4.046

6.  Classification of clinically useful sentences in clinical evidence resources.

Authors:  Mohammad Amin Morid; Marcelo Fiszman; Kalpana Raja; Siddhartha R Jonnalagadda; Guilherme Del Fiol
Journal:  J Biomed Inform       Date:  2016-01-13       Impact factor: 6.317

7.  Patient reading ability: an overlooked problem in health care.

Authors:  R H Jackson; T C Davis; L E Bairnsfather; R B George; M A Crouch; H Gault
Journal:  South Med J       Date:  1991-10       Impact factor: 0.954

8.  Measuring Text Difficulty Using Parse-Tree Frequency.

Authors:  David Kauchak; Gondy Leroy; Alan Hogue
Journal:  J Assoc Inf Sci Technol       Date:  2017-06-20       Impact factor: 2.687

Review 9.  Effects on Text Simplification: Evaluation of Splitting Up Noun Phrases.

Authors:  Gondy Leroy; David Kauchak; Alan Hogue
Journal:  J Health Commun       Date:  2016

10.  Patient perception of understanding health education and instructions has moderating effect on glycemic control.

Authors:  Gin-Den Chen; Chien-Ning Huang; Yi-Sun Yang; Chin-Yin Lew-Ting
Journal:  BMC Public Health       Date:  2014-07-04       Impact factor: 3.295

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  1 in total

1.  Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.

Authors:  Partha Mukherjee; Gondy Leroy; David Kauchak
Journal:  IEEE J Biomed Health Inform       Date:  2018-12-06       Impact factor: 5.772

  1 in total

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