Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Infodemiology

Date Submitted: Sep 19, 2024
Open Peer Review Period: Sep 20, 2024 - Nov 15, 2024
Date Accepted: Mar 19, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Assessing the Reliability and Validity of Principles for Health-Related Information on Social Media (PRHISM) for Evaluating Breast Cancer Treatment Videos on YouTube: Instrument Validation Study

Kusama H, Takahashi Y, Orihara S, Adachi K, Ishizuka Y, Semba R, Shima H, Horimoto Y, Kaise H, Taguri M, Inoue S, Nakayama T, Ishikawa T

Assessing the Reliability and Validity of Principles for Health-Related Information on Social Media (PRHISM) for Evaluating Breast Cancer Treatment Videos on YouTube: Instrument Validation Study

JMIR Infodemiology 2025;5:e66416

DOI: 10.2196/66416

PMID: 40498658

PMCID: 12175871

Assessing the Reliability and Validity of PRHISM for Evaluating Breast Cancer Treatment Videos on YouTube: an Instrument Validation Study

  • Hiroki Kusama; 
  • Yoshimitsu Takahashi; 
  • Shunichiro Orihara; 
  • Kayo Adachi; 
  • Yumiko Ishizuka; 
  • Ryoko Semba; 
  • Hidetaka Shima; 
  • Yoshiya Horimoto; 
  • Hiroshi Kaise; 
  • Masataka Taguri; 
  • Sho Inoue; 
  • Takeo Nakayama; 
  • Takashi Ishikawa

ABSTRACT

Background:

There is breast cancer-related medical information on social media, but there is no established method for objectively evaluating the quality of this information. PRHISM is a newly developed tool for objectively assessing the quality of health-related information on social media; however, there have been no reports evaluating its reliability and validity.

Objective:

The purpose of this study is to statistically examine the reliability and validity of PRHISM using videos about breast cancer treatment on YouTube.

Methods:

Sixty YouTube videos were selected on January 5, 2024, with the Japanese words for “breast cancer”, “treatment”, and “chemotherapy”, and assessed by six Japanese breast cancer experts. These evaluators independently evaluated the videos using PRHISM and an established tool for assessing the quality of health-related information, DISCERN, as well as through subjective assessments. We calculated inter-rater and intra-rater agreement among evaluators with confidence intervals, measuring agreement using weighted Cohen's kappa.

Results:

The inter-rater agreement for PRHISM overall quality was κ=0.52 (90% CI: 0.49, 0.55), indicating that the expected level of agreement, statistically defined by the lower limit of the 90% confidence interval exceeding 0.53, was not achieved. However, PRHISM demonstrated higher agreement compared to DISCERN overall quality, which had a κ=0.45 (90% CI: 0.41, 0.48). In terms of validity, the intra-rater agreement between PRHISM and subjective assessments by breast experts was κ=0.37 (95% CI: 0.14, 0.60), while DISCERN showed an agreement of κ=0.27 (95% CI: 0.07, 0.48), indicating fair agreement and no significant difference in validity.

Conclusions:

PRHISM has demonstrated sufficient reliability and validity for evaluating the quality of health-related information on YouTube, making it a promising new metric.


 Citation

Please cite as:

Kusama H, Takahashi Y, Orihara S, Adachi K, Ishizuka Y, Semba R, Shima H, Horimoto Y, Kaise H, Taguri M, Inoue S, Nakayama T, Ishikawa T

Assessing the Reliability and Validity of Principles for Health-Related Information on Social Media (PRHISM) for Evaluating Breast Cancer Treatment Videos on YouTube: Instrument Validation Study

JMIR Infodemiology 2025;5:e66416

DOI: 10.2196/66416

PMID: 40498658

PMCID: 12175871

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.