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首页> 外文期刊>Interactive Journal of Medical Research >Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C
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Word Frequency and Content Analysis Approach to Identify Demand Patterns in a Virtual Community of Carriers of Hepatitis C

机译:词频和内容分析方法在丙型肝炎病毒携带者虚拟社区中识别需求模式

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Background Orkut, a Brazilian virtual social network, is responsible for popularization of the Internet among people of low income and educational level. It’s observed that rapid growth of virtual communities can be reached by low cost Internet access in community local area network houses. Orkut poses an important social resource for Brazilian patients with chronic conditions like hepatitis C virus (HCV) carriers, who face several obstacles in adapting to everyday difficulties. Objective Identify Patterns of Recurring Demands (PRD) expressed in messages posted by members of virtual communities dedicated to HCV carriers. Methods Pre-selection: we identified terms commonly associated to HCV on generic Internet searches (primary Keywords - Kps); Kps were used to identify the most representative HCV communities in a virtual community site (Orkut); all messages published along 8 years on all topics of the community were collected and tabulated; the word frequency was used to construct a “word cloud” (graphic representation of the word frequency) on which was applied a content analysis technique. Results The most cited terms expressed: search for information about medications (prescribed and “forbidden”); emphasis on counting time, which were interpreted as surviving expectations; frequent mention of God, doctors, and “husbands” (female carriers were 68%). These elements provided material for further research – they will be useful in the construction of categories in discourse analysis. Conclusions The present work is a disclosure of preliminary findings considered original and promising. The word frequency/content analysis approach expressed needs of social support and material assistance that may provide subsidies for further qualitative approach and public health policies aimed to HCV carriers. The study of PRD by word frequency may be useful in identifying demands underestimated by other means.
机译:背景Orkut是巴西的虚拟社交网络,负责在低收入和教育水平的人群中普及Internet。据观察,通过社区局域网中的低成本Internet访问可以实现虚拟社区的快速增长。 Orkut为巴西慢性病患者(如丙型肝炎病毒(HCV)携带者)带来了重要的社会资源,他们在适应日常困难时面临数种障碍。客观地确定在专门针对HCV承运人的虚拟社区成员发布的消息中表达的重复需求模式(PRD)。方法预选:我们在通用互联网搜索中确定了通常与HCV相关的术语(主要关键字-Kps); Kps用于识别虚拟社区站点(Orkut)中最具代表性的HCV社区;收集并汇总了8年内发布的有关社区所有主题的所有消息;词频用于构建“词云”(词频的图形表示),并在其上应用了内容分析技术。结果引用最多的术语:搜索有关药物的信息(处方和“禁忌”);强调计算时间,这被认为是尚存的期望;经常提到上帝,医生和“丈夫”(女性携带者占68%)。这些要素为进一步的研究提供了材料–它们将有助于构建话语分析中的类别。结论本工作是对被认为是原创和有希望的初步发现的披露。频率/内容分析方法一词表示了社会支持和物质援助的需求,这些需求可能为针对HCV携带者的进一步定性方法和公共卫生政策提供补贴。通过单词频率研究PRD可能有助于识别其他方式低估的需求。

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