沉浸式翻译

Topic Analysis of Highly Cited Papers in Health Information Research
健康信息研究高被引论文主题分析

Among the 3525 papers retrieved through Web of Science in this study, 17 were labeled as "highly cited papers", as shown in Table 5.
本研究通过 Web of Science 检索到的 3525 篇论文中，有 17 篇被标记为"高被引论文"，如表 5 所示。

Table 5 Cited times statistics of highly cited papers
表 5 高被引论文被引频次统计

NO.	Highly cited papers 高被引论文	Authors 作者 (Publish year) (出版年份)	Cited frequency 引用频率
1	Internet health information seeking and the patient-physician relationship: a systematic review 互联网健康信息获取与医患关系：系统综述	Tan & Goonewardene, 2017	191
2	Refinements of the ICF linking rules to strengthen their potential for establishing comparability of health information ICF 链接规则的改进，以增强其建立健康信息可比性的潜力	Cieza, et al.，2019 Cieza，等，2019	130
3	Data analytic process of a nationwide population-based study using national health information database established by national health insurance service 使用国家健康保险服务建立的国家健康信息数据库进行的全国性人群研究的数据分析过程	Lee, et al., 2016 Lee，等，2016	122
4	Physician stress and burnout: the impact of health information technology 医师压力与职业倦怠：健康信息技术的影响	Gardner, et al., 2019 Gardner 等，2019	62
5	Health information privacy concerns, antecedents, and information disclosure intention in online health communities 在线健康社区中的健康信息隐私问题、前因及信息披露意愿	Zhang, et al., 2018 张等，2018	60
6	Seeking and sharing health information on social media: a net valence model and cross-cultural comparison 在社交媒体上寻求和分享健康信息：一种净效价模型和跨文化比较	Li, et al., 2018 Li 等人，2018 年	42
7	The relationships between health anxiety, online health information seeking, and cyberchondria: systematic review and meta-analysis 健康焦虑、在线健康信息寻求和网络疑病症之间的关系：系统综述和荟萃分析	McMullan, et al., 2019 McMullan 等人，2019 年	41
8	Assessment of health information about COVID-19 prevention on the internet: Infodemiological study 对互联网上关于 COVID-19 预防的健康信息的评估：信息流行病学研究	Hernandez-Garcia, et al., 2020 Hernandez-Garcia 等，2020	37
9	The digital divide: examining socio-demographic factors associated with health literacy, access and use of internet to seek health information 数字鸿沟：审视与健康素养、互联网获取和使用健康信息相关的社会人口因素	Estacio, et al., 2019 Estacio 等，2019	34
10	Differences in rural and urban health information access and use 农村与城市健康信息获取和使用的差异	Chen, et al., 2019 陈等人，2019 年	33
11	Distribution of fluoride contamination in drinking water resources and health risk assessment using geographic information system, northwest Iran 西北伊朗饮用水资源中氟化物污染分布及地理信息系统健康风险评估	Yousefi, et al., 2019 尤塞菲等人，2019 年	30
12	The district health information system (DHIS2): a literature review and meta-synthesis of its strengths and operational challenges based on the experiences of 11 countries 区域健康信息系统（DHIS2）：基于 11 个国家经验的文献综述及其优势与运营挑战的元综合分析	Dehnavieh, et al., 2019 Dehnavieh 等人，2019 年	27
13	Coverage of health information by different sources in communities: implication for COVID-19 epidemic response 不同来源在社区中覆盖的健康信息：对 COVID-19 疫情应对的启示	Tran, et al., 2020 Tran 等人，2020 年	22
14	A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies 用户对面向消费者的健康信息技术的接受度系统评价与荟萃分析	Tao, et al., 2020 Tao 等，2020	17
15	Seeking formula for misinformation treatment in public health crises: the effects of corrective information type and source 公共卫生危机中错误信息的应对公式：纠正信息类型和来源的影响	van der Meer& Jin., 2020 van der Meer & Jin. 2020	16
16	Older adults' internet use for health information: digital divide by race/ethnicity and socioeconomic status 老年人使用互联网获取健康信息：按种族/民族和社会经济地位的数字鸿沟	Yoon, et al., 2020 Yoon 等人，2020 年	15
17	Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic 在 COVID-19 大流行背景下平衡健康隐私、健康信息交换和研究	Lenert & McSwain., 2020	14

From Table 5, we can see that the most frequently cited paper was a systematic review of online health information search and doctor-patient relationship published in The Journal of Medical Internet Research in 2017. Its authors are Sharon Swee-Lin Tan, of the National University of Singapore, and Nadee Goonewardene, of Singapore Management University. The second on the list is the 2019 Disability and Rehabilitation paper on improving ICF linking rules to enhance their potential to establish comparability of health information. It is a collaboration of four scholars from different countries including the University of Southampton, the University of Munich, and the University of Toronto. The third most frequently cited study was about the establishment of a national health database published in the Diabetes& Metabolism Journal in 2016. The authors include Yong Ho Lee of Yonsei University in Korea, Kyungdo Han and Seung Hyun Ko of the Catholic University of Korea, Kyung Soo Ko of Inje University in Korea, and Ki Up Lee of the University of Ulsan in Korea.
从表 5 可以看出，被引用次数最多的论文是 2017 年发表在《医学互联网研究杂志》上的一篇关于在线健康信息搜索和医患关系的系统综述。该论文的作者是新加坡国立大学的 Sharon Swee-Lin Tan 和新加坡管理大学的 Nadee Goonewardene。列表上的第二篇是 2019 年关于改进 ICF 链接规则以增强其建立健康信息可比性潜力的《残疾人士与康复》论文。这是来自不同国家的四位学者合作的研究，包括南安普顿大学、慕尼黑大学和多伦多大学。被引用次数第三的研究是 2016 年发表在《糖尿病与代谢杂志》上关于建立国家健康数据库的论文。作者包括韩国延世大学的 Yong Ho Lee、韩国天主教大学的 Kyungdo Han 和 Seung Hyun Ko、韩国仁济大学的 Kyung Soo Ko 以及韩国蔚山大学的 Ki Up Lee。

On the whole, Items 9,6,7, and 1(Table 5) (Estacio, et al., 2019; Li, et al., 2018; McMullan, et al., 2019; Tan & Goonewardene, 2017) mainly studies issues related to health information seeking, including systematic evaluation of the relationship between online health information seeking and doctor-patient relationship, seeking and sharing health information through social media, and sociodemographic factors in the digital divide and the use of the Internet to obtain health information. Item 3(Table 5) (Lee, et al., 2016) is a study of health information databases. Items 4 and 14(Table 5) (Gardner, et al., 2019; Tao, et al., 2020) is related to health information technology. Item 4(Table 5) (Gardner, et al., 2019) discusses the impact of health information technology on physician burnout and stress. Item 14 (Table 5) (Tao, et al., 2020) is a study of user acceptance of health information technology. Items 17 and 5(Table 5) (Lenert & McSwain., 2020; Zhang, et al., 2018) are studies on health information privacy, including studies on health information privacy in online health communities and health information privacy in the context of COVID-19. Items 8,13, and 15(Table 5) (Hernandez-Garcia, et al., 2020; Tran, et al., 2020; van der Meer& Jin., 2020) are all related studies caused by the outbreak of COVID-19, such as health information assessment on COVID-19 prevention, misinformation processing formulas for public health crises, and coverage of information from different sources in communities. Items 10 and 16(Table 5) (Chen, et al., 2019; Yoon, et al., 2020) are relevant studies on access and utilization of health information. Item12 (Table 5) (Dehnavieh, et al., 2019) is a study of health information systems.
总的来说，第 9、6、7 和 1 项（表 5）（Estacio 等人，2019；Li 等人，2018；McMullan 等人，2019；Tan & Goonewardene，2017）主要研究与健康信息获取相关的问题，包括对在线健康信息获取与医患关系之间关系的系统评价、通过社交媒体获取和分享健康信息，以及数字鸿沟中的社会人口因素和利用互联网获取健康信息。第 3 项（表 5）（Lee 等人，2016）是一项关于健康信息数据库的研究。第 4 和 14 项（表 5）（Gardner 等人，2019；Tao 等人，2020）与健康信息技术相关。第 4 项（表 5）（Gardner 等人，2019）讨论了健康信息技术对医生职业倦怠和压力的影响。第 14 项（表 5）（Tao 等人，2020）是一项关于健康信息技术用户接受度的研究。第 17 和 5 项（表 5）（Lenert & McSwain，2020；Zhang 等人，2018）是关于健康信息隐私的研究，包括对在线健康社区中健康信息隐私的研究以及在 COVID-19 背景下的健康信息隐私研究。条目 8、13 和 15（表 5）（Hernandez-Garcia 等人，2020；Tran 等人，2020；van der Meer & Jin，2020）都是因 COVID-19 疫情爆发而引发的相关研究，例如关于 COVID-19 预防的健康信息评估、公共卫生危机中的错误信息处理公式，以及社区中来自不同来源的信息覆盖。条目 10 和 16（表 5）（Chen 等人，2019；Yoon 等人，2020）是关于健康信息获取和利用的相关研究。条目 12（表 5）（Dehnavieh 等人，2019）是一项关于健康信息系统的研究。