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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jan 30, 2024
Open Peer Review Period: Jan 30, 2024 - Mar 26, 2024
Date Accepted: May 29, 2024
(closed for review but you can still tweet)

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

Japanese Perception of Organ Donation and Implications for New Medical Technologies: Quantitative and Qualitative Social Media Analyses

Vargas Meza X, Oikawa M

Japanese Perception of Organ Donation and Implications for New Medical Technologies: Quantitative and Qualitative Social Media Analyses

JMIR Form Res 2024;8:e55797

DOI: 10.2196/55797

PMID: 39028549

PMCID: 11297371

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Japanese Perception of Organ Donation and Implications for New Medical Technologies: Quantitative and Qualitative Social Media Analysis (Part 2)

  • Xanat Vargas Meza; 
  • Masanori Oikawa

ABSTRACT

Background:

The Rapid Autopsy Program (RAP) is a useful procedure to understand human biology and illnesses such as cancer. However, implementing RAP in Japan requires understanding good death and incorporating socio-cultural aspects. By revising perceptions of organ donation in social media, we can shed light on the issues of implementing new medical research procedures such as RAP.

Objective:

We examined YouTube and Twitter to uncover actors and quality of organ donation communication, providing recommendations to implement new medical research procedures.

Methods:

Using the term “臓器提供”(organ donation), we collected data from YouTube and Twitter, classifying it into five dimensions: time, individuality, place, activity, and relations. We employed a scale to assess the quality of organ donation information, and divided YouTube videos into three groups to understand their differences through statistical analysis. We also conducted a text-based analysis of narratives tied to donation.

Results:

Most YouTube videos were uploaded in 2021 (189/638, 29.62%) and 2022 (165, 25.86%), while Tweets peaked between 2019 and 2022. Citizens (184/770, 23.89%), media (170, 22.07%) and unknown actors (121, 15.71%) uploaded most videos about organ donation, whereas most identified users in a sample of 100 average retweeted Tweets were citizens (70.32%), as well as in average liked Tweets (68.42%). Information quality in Hokkaido (F(2.46, 147.74) = [5.28], p = .005) and Kyushu and Okinawa (F(2.46, 147.74) = [5.28], p = .005) was high, whereas most mentioned countries in Twitter were Japan and China. Information videos versed on borrowed life and requests to register as donor, while No Information and Misinformation videos mostly contained organ trafficking accusations by American media. Tweets were mostly about donation intention statements and family consent. Most video hyperlinks pointed to YouTube and Twitter, whereas most Twitter hyperlinks pointed to news reports by Japanese media.

Conclusions:

There is a high likelihood of implementing new medical research procedures such as RAP in Japan. Recommendations include the conceptualization of research data as borrowed data, horizontal and diversified management of donation programs, and paying attention to science misinformation trends and popular culture trends.


 Citation

Please cite as:

Vargas Meza X, Oikawa M

Japanese Perception of Organ Donation and Implications for New Medical Technologies: Quantitative and Qualitative Social Media Analyses

JMIR Form Res 2024;8:e55797

DOI: 10.2196/55797

PMID: 39028549

PMCID: 11297371

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© 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.