Literature DB >> 18693870

Beyond surface characteristics: a new health text-specific readability measurement.

Hyeoneui Kim1, Sergey Goryachev, Graciela Rosemblat, Allen Browne, Alla Keselman, Qing Zeng-Treitler.   

Abstract

Accurate readability assessment of health related materials is a critical first step in producing easily understandable consumer health information resources and personal health records. Existing general readability formulas may not always be appropriate for the medical/consumer health domain. We developed a new health-specific readability pilot measure, based on the differences in semantic and syntactic features as well as text unit length. The tool was tested with 4 types of materials: consumer health texts, electronic health records, health news articles, and scientific biomedical journals. The results were compared with those produced by three commonly used general readability formulas. While the general formulas underestimated the difficulty of health records by placing them at the same grade levels as consumer health texts, our method rated health records as the most difficult type of documents. Our ratings, however, were highly correlated with general formulas ratings of consumer health, news, and journal articles (r=0.81 approximately 0.85, p<.0001).

Mesh:

Year:  2007        PMID: 18693870      PMCID: PMC2655856     

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


  7 in total

1.  Assessing readability of consumer health information: an exploratory study.

Authors:  Darren Gemoets; Graciela Rosemblat; Tony Tse; Robert Logan
Journal:  Stud Health Technol Inform       Date:  2004

2.  Influence of vocabulary and sentence complexity and passive voice on the readability of consumer-oriented mental health information on the Internet.

Authors:  Raymond L Ownby
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  Text characteristics of clinical reports and their implications for the readability of personal health records.

Authors:  Qing Zeng-Treitler; Hyeoneui Kim; Sergey Goryachev; Alla Keselman; Laura Slaughter; Catherine Arnott Smith
Journal:  Stud Health Technol Inform       Date:  2007

4.  Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption.

Authors:  Paul C Tang; Joan S Ash; David W Bates; J Marc Overhage; Daniel Z Sands
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

5.  Contribution of a speech recognition system to a computerized pneumonia guideline in the emergency department.

Authors:  W W Chapman; D Aronsky; M Fiszman; P J Haug
Journal:  Proc AMIA Symp       Date:  2000

6.  Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.

Authors:  Qing T Zeng; Sergey Goryachev; Scott Weiss; Margarita Sordo; Shawn N Murphy; Ross Lazarus
Journal:  BMC Med Inform Decis Mak       Date:  2006-07-26       Impact factor: 2.796

7.  Assessing consumer health vocabulary familiarity: an exploratory study.

Authors:  Alla Keselman; Tony Tse; Jon Crowell; Allen Browne; Long Ngo; Qing Zeng
Journal:  J Med Internet Res       Date:  2007-03-14       Impact factor: 5.428

  7 in total
  22 in total

1.  Quantitative evaluation of expression difference in report assignments between nursing and radiologic technology departments.

Authors:  Naoki Nishimoto; Yuki Yokooka; Ayako Yagahara; Masahito Uesugi; Katsuhiko Ogasawara
Journal:  Radiol Phys Technol       Date:  2010-09-10

2.  Assessing the readability of ClinicalTrials.gov.

Authors:  Danny T Y Wu; David A Hanauer; Qiaozhu Mei; Patricia M Clark; Lawrence C An; Joshua Proulx; Qing T Zeng; V G Vinod Vydiswaran; Kevyn Collins-Thompson; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2015-08-11       Impact factor: 4.497

3.  Creating a gold standard for the readability measurement of health texts.

Authors:  Sasikiran Kandula; Qing Zeng-Treitler
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

4.  Evaluating online health information: beyond readability formulas.

Authors:  Gondy Leroy; Stephen Helmreich; James R Cowie; Trudi Miller; Wei Zheng
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Initial Readability Assessment of Clinical Trial Eligibility Criteria.

Authors:  Tian Kang; Noémie Elhadad; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

6.  Moving Beyond Readability Metrics for Health-Related Text Simplification.

Authors:  David Kauchak; Gondy Leroy
Journal:  IT Prof       Date:  2016-05-25       Impact factor: 2.626

7.  Readability of patient and health care professional targeted dietary supplement leaflets used for diabetes and chronic fatigue syndrome.

Authors:  Kevin A Clauson; Qing Zeng-Treitler; Sasikiran Kandula
Journal:  J Altern Complement Med       Date:  2010-01       Impact factor: 2.579

8.  Applying multiple methods to assess the readability of a large corpus of medical documents.

Authors:  Danny T Y Wu; David A Hanauer; Qiaozhu Mei; Patricia M Clark; Lawrence C An; Jianbo Lei; Joshua Proulx; Qing Zeng-Treitler; Kai Zheng
Journal:  Stud Health Technol Inform       Date:  2013

9.  Imaging informatics for consumer health: towards a radiology patient portal.

Authors:  Corey W Arnold; Mary McNamara; Suzie El-Saden; Shawn Chen; Ricky K Taira; Alex A T Bui
Journal:  J Am Med Inform Assoc       Date:  2013-06-05       Impact factor: 4.497

10.  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

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