Exploring Resource-Sharing Behaviors for Finding Relevant Health Resources: Analysis of an Online Ovarian Cancer Community.

Exploring Resource-Sharing Behaviors for Finding Relevant Health Resources: Analysis of an Online Ovarian Cancer Community.
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DOI:
10.2196/33110
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发表时间:
2022-04-12
期刊:
影响因子:
2.8
通讯作者:
Lee, Young Ji
Lee, Young Ji
中科院分区:
其他
文献类型:
--
作者:
Thaker, Khushboo;Chi, Yu;Birkhoff, Susan;He, Daqing;Donovan, Heidi;Rosenblum, Leah;Brusilovsky, Peter;Hui, Vivian;Lee, Young Ji

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在线健康社区(OHC)为卵巢癌(OvCa)患者和幸存者及其护理人员提供了传统支持渠道以外的帮助,如医疗保健提供者和临床医生。OvCa OHC促进具有类似经历的用户之间的联系和信息交流。用户经常交换信息,这导致了网络链接形式的资源共享。虽然人道主义协调员办事处是保健管理的重要平台,但人们对共享资源的质量和相关性感到关切。以往的研究已经研究了不同方面的资源共享行为,如共享的目的,共享资源的类型,和对等用户的反应,共享资源的OHC评估资源交换的情况。然而,有一个缺乏的研究探讨是否资源共享行为可以最终确定共享资源的相关性。本研究旨在探讨OHC资源共享行为与共享资源相关性之间的关系。我们从三个方面分析了OHC用户的资源共享行为:共享资源的类型、共享资源的目的以及OHC用户对共享资源的反应。采用回顾性设计,数据来自国家卵巢癌联盟论坛。资源的相关性分为三个级别:相关、部分相关和不相关。通过手动内容分析确定资源共享行为。显著性检验,以确定资源相关性和资源共享行为之间的关联。约48.3%(85/176)的共享资源被确定为相关,29.5%(52/176)被确定为部分相关,22.2%(39/176)被确定为不相关。该研究建立了共享资源类型(χ218=33.2; P<0.001)和资源相关性(通过卡方独立性检验)之间的显著关联。在共享资源的类型中,健康新闻(P<0.001)和健康组织(P= 0.02)等健康消费者材料显示出更多的相关资源。患者教育材料(P<0.001)和患者生成的资源(P= 0.01)分别与部分相关和不相关的资源更显著相关。专家健康材料,包括学术文献,只分享了几次,但有显着(P<.001)更多的相关资源。在资源共享的目的和总体资源相关性之间也建立了显著的关联(χ210=22.9; P<.001)。以提供额外阅读(P=.01)和指向资源(P=.03)为目的的共享资源具有更相关的资源,而讨论和保持联系的主题不包括任何相关的共享资源。资源共享行为与这些资源的相关性之间的关联有助于通过自动化大规模收集相关资源沿着OvCa OHC的相应信息需求。这项研究的结果可以用来优先考虑OvCa幸存者及其护理人员所需的资源,以及自动搜索OvCa OHC中的相关共享资源。
Online health communities (OHCs) provide patients and survivors of ovarian cancer (OvCa) and their caregivers with help beyond traditional support channels, such as health care providers and clinicians. OvCa OHCs promote connections and exchanges of information among users with similar experiences. Users often exchange information, which leads to the sharing of resources in the form of web links. Although OHCs are important platforms for health management, concerns exist regarding the quality and relevance of shared resources. Previous studies have examined different aspects of resource-sharing behaviors, such as the purpose of sharing, the type of shared resources, and peer user reactions to shared resources in OHCs to evaluate resource exchange scenarios. However, there is a paucity of research examining whether resource-sharing behaviors can ultimately determine the relevance of shared resources. This study aimed to examine the association between OHC resource-sharing behaviors and the relevance of shared resources. We analyzed three aspects of resource-sharing behaviors: types of shared resources, purposes of sharing resources, and OHC users’ reactions to shared resources. Using a retrospective design, data were extracted from the National Ovarian Cancer Coalition discussion forum. The relevance of a resource was classified into three levels: relevant, partially relevant, and not relevant. Resource-sharing behaviors were identified through manual content analysis. A significance test was performed to determine the association between resource relevance and resource-sharing behaviors. Approximately 48.3% (85/176) of the shared resources were identified as relevant, 29.5% (52/176) as partially relevant, and 22.2% (39/176) as irrelevant. The study established a significant association between the types of shared resources (χ218=33.2; P<.001) and resource relevance (through chi-square tests of independence). Among the types of shared resources, health consumer materials such as health news (P<.001) and health organizations (P=.02) exhibited significantly more relevant resources. Patient educational materials (P<.001) and patient-generated resources (P=.01) were more significantly associated with partially relevant and irrelevant resources, respectively. Expert health materials, including academic literature, were only shared a few times but had significantly (P<.001) more relevant resources. A significant association (χ210=22.9; P<.001) was also established between the purpose of resource sharing and overall resource relevance. Resources shared with the purpose of providing additional readings (P=.01) and pointing to resources (P=.03) had significantly more relevant resources, whereas subjects for discussion and staying connected did not include any relevant shared resources. The associations found between resource-sharing behaviors and the relevance of these resources can help in collecting relevant resources, along with the corresponding information needs from OvCa OHCs, on a large scale through automation. The results from this study can be leveraged to prioritize the resources required by survivors of OvCa and their caregivers, as well as to automate the search for relevant shared resources in OvCa OHCs.
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