• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

智能手机应用程序中的隐私问题:头痛/偏头痛应用程序分析。

Privacy Issues in Smartphone Applications: An Analysis of Headache/Migraine Applications.

机构信息

Departments of Neurology and Population Health, NYU Langone Medical Center, New York, NY, USA (Mia T. Minen).

Technology and Privacy Attorney, New York, NY, USA (Eric J. Stieglitz).

出版信息

Headache. 2018 Jul;58(7):1014-1027. doi: 10.1111/head.13341. Epub 2018 Jul 4.

DOI:10.1111/head.13341
PMID:29974470
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6347475/
Abstract

BACKGROUND

Headache diaries are a mainstay of migraine management. While many commercial smartphone applications (apps) have been developed for people with migraine, little is known about how well these apps protect patient information and whether they are secure to use.

OBJECTIVE

We sought to assess whether there are privacy issues surrounding apps so that physicians and patients could better understand what medical information patients are providing to the app companies, and the potential privacy implications of how the app companies (and other third parties) might use that information.

METHODS

We conducted a systematic search of the most popular "headache" and "migraine" apps and developed a database of the types of data the apps requested for input by the user and whether the apps had clear privacy policies. We also examined the content of the privacy policies.

RESULTS

Twenty-nine apps were examined (14 diary apps, 15 relaxation apps). Of the diary applications, 79% (11/14) had visible privacy policies. Of the diary apps with privacy policies, all (11/11) stated whether or not the app collects and stores information remotely. A total of 55% (6/11) stated that some user data were used to serve targeted advertisements. A total of 11/15 (73%) of the relaxation apps had privacy policies.

CONCLUSIONS

Headache apps shared information with third parties, posing privacy risks partly because there are few legal protections against the sale or disclosure of data from medical apps to third parties.

摘要

背景

头痛日记是偏头痛管理的主要方法。虽然已经开发出许多针对偏头痛患者的商业智能手机应用程序(app),但对于这些应用程序在保护患者信息方面的效果以及使用这些应用程序是否安全的问题知之甚少。

目的

我们旨在评估是否存在与应用程序相关的隐私问题,以便医生和患者能够更好地了解患者向应用程序公司提供哪些医疗信息,以及应用程序公司(和其他第三方)可能如何使用这些信息所带来的潜在隐私影响。

方法

我们对最受欢迎的“头痛”和“偏头痛”应用程序进行了系统搜索,并建立了一个数据库,其中包含应用程序要求用户输入的各种数据类型,以及应用程序是否具有明确的隐私政策。我们还检查了隐私政策的内容。

结果

共检查了 29 个应用程序(14 个日记应用程序,15 个放松应用程序)。在日记应用程序中,79%(11/14)具有可见的隐私政策。在具有隐私政策的日记应用程序中,全部(11/11)都声明应用程序是否远程收集和存储信息。共有 55%(6/11)的应用程序声明部分用户数据用于提供定向广告。共有 11/15(73%)的放松应用程序具有隐私政策。

结论

头痛应用程序与第三方共享信息,带来了隐私风险,部分原因是针对从医疗应用程序向第三方出售或披露数据的法律保护很少。

相似文献

1
Privacy Issues in Smartphone Applications: An Analysis of Headache/Migraine Applications.智能手机应用程序中的隐私问题:头痛/偏头痛应用程序分析。
Headache. 2018 Jul;58(7):1014-1027. doi: 10.1111/head.13341. Epub 2018 Jul 4.
2
Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis.药品相关应用程序和移动生态系统的数据共享实践:流量、内容和网络分析。
BMJ. 2019 Mar 20;364:l920. doi: 10.1136/bmj.l920.
3
Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation.智能手机应用程序在抑郁症和戒烟领域的数据共享和隐私实践评估。
JAMA Netw Open. 2019 Apr 5;2(4):e192542. doi: 10.1001/jamanetworkopen.2019.2542.
4
Understanding What People With Migraine Consider to be Important Features of Migraine Tracking: An Analysis of the Utilization of Smartphone-Based Migraine Tracking With a Free-Text Feature.理解偏头痛患者认为偏头痛追踪的重要特征:基于智能手机的偏头痛追踪利用自由文本特征的分析。
Headache. 2020 Jul;60(7):1402-1414. doi: 10.1111/head.13851. Epub 2020 Jul 6.
5
The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder.评论如下:关于双相情感障碍应用程序消费者观点的定性内容分析
J Med Internet Res. 2017 Apr 7;19(4):e105. doi: 10.2196/jmir.7273.
6
The Functionality, Evidence, and Privacy Issues Around Smartphone Apps for the Top Neuropsychiatric Conditions.智能手机应用程序在顶级神经精神疾病方面的功能、证据和隐私问题。
J Neuropsychiatry Clin Neurosci. 2021 Winter;33(1):72-79. doi: 10.1176/appi.neuropsych.19120353. Epub 2020 Jul 16.
7
What are Headache Smartphone Application (App) Users Actually Looking for in Apps: A Qualitative Analysis of App Reviews to Determine a Patient Centered Approach to Headache Smartphone Apps.头痛智能手机应用(App)用户实际在应用中寻找什么:应用评论的定性分析,以确定以患者为中心的头痛智能手机应用方法。
Headache. 2020 Jul;60(7):1392-1401. doi: 10.1111/head.13859. Epub 2020 Jun 13.
8
Mobile health and privacy: cross sectional study.移动健康与隐私:横断面研究
BMJ. 2021 Jun 16;373:n1248. doi: 10.1136/bmj.n1248.
9
Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality.用于双相情感障碍的移动应用程序:功能与内容质量的系统评价
J Med Internet Res. 2015 Aug 17;17(8):e198. doi: 10.2196/jmir.4581.
10
Smartphone Users' Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study.智能手机用户在消费者移动医疗应用背景下的说服知识:定性研究。
JMIR Mhealth Uhealth. 2021 Apr 13;9(4):e16518. doi: 10.2196/16518.

引用本文的文献

1
Artificial intelligence in headache medicine: between automation and the doctor-patient relationship. A systematic review.头痛医学中的人工智能:在自动化与医患关系之间。一项系统综述。
J Headache Pain. 2025 Sep 2;26(1):192. doi: 10.1186/s10194-025-02143-8.
2
A Hybrid Digital-4E Strategy for comorbid migraine and depression: a medical hypothesis on an AI-driven, neuroadaptive, and exposome-aware approach.一种用于偏头痛与抑郁症共病的混合数字-4E策略:关于人工智能驱动、神经适应性和暴露组感知方法的医学假说
Front Neurol. 2025 May 29;16:1587296. doi: 10.3389/fneur.2025.1587296. eCollection 2025.
3
Tracking Migraine Symptoms: A Longitudinal Comparison of Smartphone-Based Headache Diaries and Clinical Interviews.追踪偏头痛症状:基于智能手机的头痛日记与临床访谈的纵向比较
Neurol Int. 2025 Feb 24;17(3):33. doi: 10.3390/neurolint17030033.
4
A Proposal for a Robust Validated Weighted General Data Protection Regulation-Based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: An eDelphi Study.基于加权通用数据保护条例的稳健验证量表评估移动健康应用程序隐私政策质量的提案:一项 eDelphi 研究。
Methods Inf Med. 2023 Dec;62(5-06):154-164. doi: 10.1055/a-2155-2021. Epub 2023 Aug 17.
5
Use of pager devices in New Zealand public hospitals as a critical communication tool: Barriers & way forward.新西兰公立医院将寻呼设备用作关键通信工具的情况:障碍与未来方向。
Heliyon. 2023 Jul 26;9(8):e18717. doi: 10.1016/j.heliyon.2023.e18717. eCollection 2023 Aug.
6
Critical Criteria and Countermeasures for Mobile Health Developers to Ensure Mobile Health Privacy and Security: Mixed Methods Study.移动健康开发者确保移动健康隐私和安全的关键标准和对策:混合方法研究。
JMIR Mhealth Uhealth. 2023 Mar 2;11:e39055. doi: 10.2196/39055.
7
Assessment of Smartphone Apps for Common Neurologic Conditions (Headache, Insomnia, and Pain): Cross-sectional Study.常见神经系统疾病(头痛、失眠和疼痛)的智能手机应用评估:横断面研究。
JMIR Mhealth Uhealth. 2022 Jun 21;10(6):e36761. doi: 10.2196/36761.
8
mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis.用于心理健康筛查与诊断的移动健康解决方案:基于情感和主题分析的应用程序用户观点综述
Front Psychiatry. 2022 Apr 27;13:857304. doi: 10.3389/fpsyt.2022.857304. eCollection 2022.
9
mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.mBrain:实现原发性头痛障碍患者的持续随访和头痛分类。
BMC Med Inform Decis Mak. 2022 Mar 31;22(1):87. doi: 10.1186/s12911-022-01813-w.
10
Pulse Oximeter App Privacy Policies During COVID-19: Scoping Assessment.脉搏血氧仪应用隐私政策在 COVID-19 期间:范围评估。
JMIR Mhealth Uhealth. 2022 Jan 27;10(1):e30361. doi: 10.2196/30361.

本文引用的文献

1
A Hierarchical Framework for Evaluation and Informed Decision Making Regarding Smartphone Apps for Clinical Care.针对临床护理的智能手机应用程序的评估和知情决策的分层框架。
Psychiatr Serv. 2018 May 1;69(5):498-500. doi: 10.1176/appi.ps.201700423. Epub 2018 Feb 15.
2
Data Security and Privacy in Apps for Dementia: An Analysis of Existing Privacy Policies.痴呆症应用程序中的数据安全与隐私:对现有隐私政策的分析
Am J Geriatr Psychiatry. 2017 Aug;25(8):873-877. doi: 10.1016/j.jagp.2017.04.009. Epub 2017 Jun 1.
3
What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.移动健康的经济证据是什么?对移动健康解决方案经济评估的系统综述。
PLoS One. 2017 Feb 2;12(2):e0170581. doi: 10.1371/journal.pone.0170581. eCollection 2017.
4
Many Mobile Health Apps Target High-Need, High-Cost Populations, But Gaps Remain.许多移动健康应用针对高需求、高成本人群,但差距仍然存在。
Health Aff (Millwood). 2016 Dec 1;35(12):2310-2318. doi: 10.1377/hlthaff.2016.0578.
5
Privacy Policies of Android Diabetes Apps and Sharing of Health Information.安卓糖尿病应用程序的隐私政策与健康信息共享
JAMA. 2016 Mar 8;315(10):1051-2. doi: 10.1001/jama.2015.19426.
6
Interrater Reliability of mHealth App Rating Measures: Analysis of Top Depression and Smoking Cessation Apps.移动医疗应用程序评分测量的评分者间信度:顶级抑郁和戒烟应用程序的分析。
JMIR Mhealth Uhealth. 2016 Feb 10;4(1):e15. doi: 10.2196/mhealth.5176.
7
Cross-trial prediction of treatment outcome in depression: a machine learning approach.抑郁症治疗结果的跨试验预测:一种机器学习方法。
Lancet Psychiatry. 2016 Mar;3(3):243-50. doi: 10.1016/S2215-0366(15)00471-X. Epub 2016 Jan 21.
8
Health App Use Among US Mobile Phone Owners: A National Survey.美国手机用户使用健康类 APP 情况的全国性调查
JMIR Mhealth Uhealth. 2015 Nov 4;3(4):e101. doi: 10.2196/mhealth.4924.
9
Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment.经认证的健康与健身应用中未解决的隐私风险:一项横断面系统评估。
BMC Med. 2015 Sep 7;13:214. doi: 10.1186/s12916-015-0444-y.
10
Concern about security and privacy, and perceived control over collection and use of health information are related to withholding of health information from healthcare providers.人们对安全和隐私的担忧,以及对健康信息收集和使用的感知控制,与向医疗保健提供者隐瞒健康信息有关。
J Am Med Inform Assoc. 2014 Mar-Apr;21(2):374-8. doi: 10.1136/amiajnl-2013-002079. Epub 2013 Aug 23.