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Googling Musculoskeletal-Related Pain and Ranking of Medical Associations’ Patient Information Pages: Google Ads Keyword Planner Analysis
http://hdl.handle.net/10458/0002000169
http://hdl.handle.net/10458/0002000169d8421bfa-0ffc-49c0-84e8-24c991769355
| 名前 / ファイル | ライセンス | アクション |
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本文 (294 KB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2023-10-27 | |||||
| タイトル | ||||||
| タイトル | Googling Musculoskeletal-Related Pain and Ranking of Medical Associations’ Patient Information Pages: Google Ads Keyword Planner Analysis | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | ||||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | ad words | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | infodemiology | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | musculoskeletal-related pain | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | patient education | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | medical information | |||||
| 資源タイプ | ||||||
| 資源タイプ | journal article | |||||
| 著者 |
山口, 洋一朗
× 山口, 洋一朗× 李, 徳哲× 永井, 琢哉× 舩元, 太郎× 田島, 卓也× 帖佐, 悦男 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | ackground: Most people currently use the internet to obtain information about many subjects, including health information. Thus, medical associations need to provide accurate medical information websites. Although medical associations have their own patient education pages, it is not clear if these websites actually show up in search results. Objective: The aim of this study was to evaluate how well medical associations function as online information providers by searching for information about musculoskeletal-related pain online and determining the ranking of the websites of medical associations. Methods: We conducted a Google search for frequently searched keywords. Keywords were extracted using Google Ads Keyword Planner associated with “pain” relevant to the musculoskeletal system from June 2016 to December 2019. The top 20 search queries were extracted and searched using the Google search engine in Japan and the United States. Results: The number of suggested queries for “pain” provided by Google Ads Keyword Planner was 930 in the United States and 2400 in Japan. Among the top 20 musculoskeletal-related pain queries chosen, the probability that the medical associations’ websites would appear in the top 10 results was 30% in the United States and 45% in Japan. In five queries each, the associations’ websites did not appear among the top 100 results. No significant difference was found in the rank of the associations’ website search results (P=.28). Conclusions: To provide accurate medical information to patients, it is essential to undertake effective measures for search engine optimization. For orthopedic associations, it is necessary that their websites should appear among the top search results. |
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| 言語 | en | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Citation: Yamaguchi, Y., Lee, D., Nagai, T., Funamoto, T., Tajima, T., & Chosa, E. (2020). Googling Musculoskeletal-Related Pain and Ranking of Medical Associations' Patient Information Pages: Google Ads Keyword Planner Analysis. Journal of medical Internet research, 22(8), e18684. https://doi.org/10.2196/18684 |
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| 言語 | en | |||||
| 書誌情報 |
en : Journal of Medical Internet Research 巻 22, 号 8, p. e18684, 発行日 2020-08-14 |
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| 出版者 | ||||||
| 出版者 | JMIR Publications | |||||
| 言語 | en | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.2196/18684 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | ©Yoichiro Yamaguchi, Deokcheol Lee, Takuya Nagai, Taro Funamoto, Takuya Tajima, Etsuo Chosa. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.08.2020. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
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山口, 洋一朗, 李, 徳哲, 永井, 琢哉, 舩元, 太郎, 田島, 卓也, 帖佐, 悦男, n.d., Googling Musculoskeletal-Related Pain and Ranking of Medical Associations’ Patient Information Pages: Google Ads Keyword Planner Analysis: JMIR Publications, e18684– p.
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