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利用谷歌趋势分析乳房植入物取出模式:大数据在手术需求中的应用

Contextualizing Breast Implant Removal Patterns with Google Trends: Big Data Applications in Surgical Demand.

作者信息

Tian William M, Rames Jess D, Blau Jared A, Taskindoust Mahsa, Hollenbeck Scott T

机构信息

Duke University School of Medicine, Durham, N.C.

Department of Surgery, Division of Plastic and Maxillofacial Surgery, Duke University Medical Center, Durham, N.C.

出版信息

Plast Reconstr Surg Glob Open. 2022 Jan 5;10(1):e4005. doi: 10.1097/GOX.0000000000004005. eCollection 2022 Jan.

DOI:10.1097/GOX.0000000000004005
PMID:35127299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8812673/
Abstract

UNLABELLED

The demand for breast implant removal (BIR) has increased substantially in recent years. This study leveraged large datasets available through Google Trends to understand how changes in public perception could be influencing surgical demand, both geographically and temporally.

METHODS

Using Google Trends, we extracted relative search volume for BIR-related search terms in the United States from 2006 to 2019. A network of related search terms was established using pairwise correlative analysis. Terms were assessed for correlation with national BIR case volume based on annual reports provided by the American Society of Plastic Surgeons. A surgical demand index for BIR was created on a state-by-state basis.

RESULTS

A network of internally correlated BIR search terms was found. Search volumes for such terms, including "explant" [ρ = 0.912], "breast implant removal" [ρ = 0.596], "breast implant illness" [ρ = 0.820], "BII" [ρ = 0.600], and "ALCL" [ρ = 0.895] ( < 0.05), were found to be positively correlated with national BIR case volume, whereas "breast augmentation" [ρ = -0.596] ( < 0.05) was negatively correlated. Our 2019 BIR surgical demand index revealed that Nevada, Arizona, and Louisiana were the states with the highest BIR demand per capita.

CONCLUSIONS

Google Trends is a powerful tool for tracking public interest and subsequently, online health information seeking behavior. There are clear networks of related Google search terms that are correlated with actual BIR surgical volume. Understanding the online health queries patients have can help physicians better understand the factors driving patient decision-making.

摘要

未标注

近年来,乳房植入物取出术(BIR)的需求大幅增加。本研究利用通过谷歌趋势获得的大型数据集,以了解公众认知的变化如何在地理和时间上影响手术需求。

方法

利用谷歌趋势,我们提取了2006年至2019年美国与BIR相关搜索词的相对搜索量。通过成对相关分析建立了相关搜索词网络。根据美国整形外科医师协会提供的年度报告,评估这些词与全国BIR病例数的相关性。逐州创建了BIR的手术需求指数。

结果

发现了一个内部相关的BIR搜索词网络。发现包括“取出植入物”[ρ = 0.912]、“乳房植入物取出术”[ρ = 0.596]、“乳房植入物疾病”[ρ = 0.820]、“BII”[ρ = 0.600]和“ALCL”[ρ = 0.895](<0.05)等词的搜索量与全国BIR病例数呈正相关,而“隆乳术”[ρ = -0.596](<0.05)呈负相关。我们2019年的BIR手术需求指数显示,内华达州、亚利桑那州和路易斯安那州是人均BIR需求最高的州。

结论

谷歌趋势是跟踪公众兴趣以及随后的在线健康信息搜索行为的有力工具。存在与实际BIR手术量相关的清晰的谷歌相关搜索词网络。了解患者的在线健康查询可以帮助医生更好地理解驱动患者决策的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/26d347973b2c/gox-10-e4005-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/3ef74be44535/gox-10-e4005-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/07eb71c92813/gox-10-e4005-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/26d347973b2c/gox-10-e4005-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/3ef74be44535/gox-10-e4005-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/07eb71c92813/gox-10-e4005-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97c3/8812673/26d347973b2c/gox-10-e4005-g003.jpg

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