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Quantifying the Quality of Web-Based Health Information on Student Health Center Websites Using a Software Tool:

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  • 1Department of Computer Science, San Francisco State University, San Francisco, CA, United States.

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A new open-source software, QMOHI, efficiently assesses online health information quality on university student health websites. This tool supports large-scale studies and monitoring of digital health information for adolescents and young adults.

Keywords:
adolescentsautomated quantification tooldigital healthhealth informationhealth information websiteshealth websitesinfodemiologyinformation quality metricsonline healthonline health information qualitypublic healthstudent health center websites

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Area of Science:

  • Public Health
  • Health Informatics
  • Digital Health

Background:

  • The internet is a primary source of health information for young adults, but online content quality varies significantly.
  • Student Health Center (SHC) websites are often consulted for reliable health information, yet lack standardized quality oversight.
  • Existing health information on the web is frequently inaccurate, incomplete, or outdated, posing risks to users.

Purpose of the Study:

  • To develop and validate an open-source software tool for assessing the quality of online health information.
  • To specifically target health information available on university Student Health Center (SHC) websites in the United States.
  • To create an efficient and effective method for evaluating the reliability of digital health resources.

Main Methods:

  • Developed QMOHI (Quantitative Measures of Online Health Information), an open-source software tool.
  • The software computes 8 distinct quality metrics based on retrieved text from SHC websites.
  • Evaluated QMOHI's scalability, generalizability across health topics, and robustness to website structural changes through 3 experiments.

Main Results:

  • QMOHI is highly scalable and significantly more efficient than manual quality assessment.
  • The tool demonstrated versatility, assessing information quality for broad and specific health topics, including COVID-19, cancer, and various contraceptives.
  • QMOHI proved robust, accurately measuring information quality despite modifications in university website structures, enabling longitudinal studies.

Conclusions:

  • QMOHI enables large-scale, cost-effective studies of SHC websites for public health researchers and practitioners.
  • The tool's flexibility supports diverse research applications, from mainstream to niche health topics.
  • QMOHI's robustness facilitates longitudinal investigations and serves as a valuable monitoring tool for online health information quality.