Evidence map›Paper›PMID 23639262›Full record

ArticleInternational journal of medical informatics2013

A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty.

Gondy Leroy, David Kauchak, Obay Mouradi

Abstract read
In one paragraph

Article in International journal of medical informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. A survey of automated methods for biomedical text simplification.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  6. Article
  7. Measuring Text Difficulty Using Parse-Tree Frequency.Journal of the Association for Information Science and Technology · 2017
    Article
  8. Article
  9. Article
  10. An exploratory study of inactive health information seekers.International journal of medical informatics · 2015
    Article
  11. The effect of word familiarity on actual and perceived text difficulty.Journal of the American Medical Informatics Association : JAMIA · 2014
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gondy LeroySchool of Information Systems and Technology, Claremont Graduate University, USA. gondy.leroy@cgu.edu
David Kauchak
Obay Mouradi

Funding

Large-scale evaluation of text features affecting perceived and actual text diffiR03LM010902 · NLM · UNIVERSITY OF ARIZONA · PI LEROY, GONDY · 2011 to 2012
$131k
NLM NIH HHS 1R03LM010902-01NLM NIH HHS R03 LM010902
6 · The paper itself

Abstract

purposeLow patient health literacy has been associated with cost increases in medicine because it contributes to inadequate care. Providing explanatory text is a convenient approach to distribute medical information and increase health literacy. Unfortunately, writing text that is easily understood is challenging. This work tests two text features for their impact on understanding: lexical simplification and coherence enhancement.

methodsA user study was conducted to test the features' effect on perceived and actual text difficulty. Individual sentences were used to test perceived difficulty. Using a 5-point Likert scale, participants compared eight pairs of original and simplified sentences. Abstracts were used to test actual difficulty. For each abstract, four versions were created: original, lexically simplified, coherence enhanced, and lexically simplified and coherence enhanced. Using a mixed design, one group of participants worked with the original and lexically simplified documents (no coherence enhancement) while a second group worked with the coherence enhanced versions. Actual difficulty was measured using a Cloze measure and multiple-choice questions.

resultsUsing Amazon's Mechanical Turk, 200 people participated of which 187 qualified based on our data qualification tests. A paired-samples t-test for the sentence ratings showed a significant reduction in difficulty after lexical simplification (p<.001). Results for actual difficulty are based on the abstracts and associated tasks. A two-way ANOVA for the Cloze test showed no effect of coherence enhancement but a main effect for lexical simplification, with the simplification leading to worse scores (p=.004). A follow-up ANOVA showed this effect exists only for function words when coherence was not enhanced (p=.008). In contrast, a two-way ANOVA for answering multiple-choice questions showed a significant beneficial effect of coherence enhancement (p=.003) but no effect of lexical simplification.

conclusionsLexical simplification reduced the perceived difficulty of texts. Coherence enhancement reduced the actual difficulty of text when measured using multiple-choice questions. However, the Cloze measure results showed that lexical simplification can negatively impact the flow of the text.

Indexed as

ComprehensionConsumer Health InformationHealth LiteracyPatient Education as TopicSense of CoherenceVocabularyAdultAgedFemaleHumansLanguage TestsMaleMiddle AgedPerceptionYoung AdultComprehensionConsumer health informationHealth literacyInformation systemsMedical informatics computingPatient educationReadability

Identifiers

PMID23639262
PMCPMC3707932

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.