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Original Articles

The Gobbledygook in Online Parent-Focused Information about Child and Adolescent Mental Health

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Pages 710-715 | Published online: 12 Apr 2017
 

ABSTRACT

Online parent-focused informational resources play a vital step in parent decision-making about initiating child and adolescent mental health care, but their usefulness may depend on how easily the resource content can be understood. The purpose of this cross-sectional study was to examine the readability and reliability of parent-focused mental health resources provided on Canadian websites. After meeting inclusion criteria, 50 documents retrieved during the search in September 2016 from websites using online health information searching strategies that would be typically employed by parents underwent analysis. Document readability was assessed using Health Canada recommended instruments: Simple Measure of Gobbledygook (SMOG), Flesch–Kincaid Grade Level, and the Flesch Reading-Ease scale. Reliability was assessed using Health on the Net Foundation Code of Conduct (HONcode). Our analysis revealed that all included documents exceeded the 8th grade reading level. The mean ± SD readability scores were SMOG 11.65 ± 1.10 and FKGL 10.03 ± 1.49. Reading-ease scores showed that 42% (n = 21) of the documents were “Difficult” to read. Factorial ANOVA revealed no significant difference in readability across mental health topic areas or organizational sectors (p = > 0.05). Twenty-four percent of documents came from sites with HONcode certification. Findings suggest that almost all child and adolescent mental health information that would typically be found online by parents in Canada had readability scores that were too high for average parents to read and exceeded Health Canada recommended reading levels. Being able to locate resources online can be significantly precluded if a parent cannot understand and use information to mobilize them to accessing mental health care for their families.

Acknowledgments

The authors would like to thank Greg Zwaagstra for helping in conducting coding validation and text analysis and Karen Turner for manuscript editing.

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