Predicting the readability of physicians’ secure messages to improve health communication using novel linguistic features: Findings from the ECLIPPSE study-Reference-Cited by-同舟云学术

Predicting the readability of physicians’ secure messages to improve health communication using novel linguistic features: Findings from the ECLIPPSE study

Published:2020-09-24 Issue:4 Volume:13 Page:344-356
ISSN:1753-8068
Container-title:Journal of Communication in Healthcare
language:en
Short-container-title:Journal of Communication in Healthcare

Author:

Crossley Scott A.¹^ORCID,Balyan Renu²^ORCID,Liu Jennifer³^ORCID,Karter Andrew J.³,McNamara Danielle²,Schillinger Dean⁴

Affiliation:

1. Department of Applied Linguistics/ESL, Georgia State University, Atlanta, GA, USA

2. Department of Psychology, Arizona State University, Tempe, AZ, USA

3. Kaiser Permanente Northern California, Oakland, CA, USA

4. Division of General Internal Medicine and Health Communications Research Program, University of California San Francisco, San Francisco, CA, USA

Funder

National Institute of Health

Publisher

Informa UK Limited

Subject

Health Information Management,Communication

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538068.2020.1822726

Reference93 articles.

1. Effects of Self-Management Support on Structure, Process, and Outcomes Among Vulnerable Patients With Diabetes

2. A Systematic Review of Readability and Comprehension Instruments Used for Print and Web-Based Cancer Information

3. Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel

4. The use of readability formulas in health care

5. Health Literacy Research: Isn’t There Something Better We Could Be Doing?

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