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基于公众关注主题及情感视角的我国罕见病医药保障策略研

          究——以诺西那生钠为例
                                                  Δ

                *
          邰杨芳 ,郭 樱,王紫琼,王君慧,华国旻,杨慧丽,王晓洁,贺培风(山西医科大学管理学院,太原 030001)

          中图分类号  R95;R197.1      文献标志码  A      文章编号  1001-0408(2023)07-0774-06
          DOI  10.6039/j.issn.1001-0408.2023.07.02

          摘   要  目的  挖掘网络大众关于罕见病的关注焦点和情感态度,为相关部门对罕见病医药保障相关政策、制度及策略的制定与
          实施提供决策参考。方法  利用潜在狄利克雷分布(LDA)主题模型和情感分析方法分析Bilibili网站上与“天价药”诺西那生钠纳
          入医保事件相关的高播放量短视频的评论文本,挖掘文本的主题和情感倾向,并提出相应策略建议。结果  共获得8个播放量上
          万的视频,获得 7 109条文本数据。根据LDA分析提取出网络公众关注罕见病相关的9个主题(罕见病药的价格、罕见病药入医
          保、罕见病药的研发现状、医保范围与医疗保障体系、罕见病患者群体的困境、罕见病的预防与筛查、罕见病药入医保的价值、罕见
          病的中西医疗法、罕见病药的供需现状),按关注对象概括为4大类(罕见病药物类、罕见病医疗保险类、罕见病医疗卫生服务类和
          罕见病患者群体类)。公众对各主题的情感总体呈现出低积极性和高消极性的倾向。结论 公众对罕见病药的价格、研发和供需
          问题关注度最高,并对我国当前罕见病的医疗现状深感担忧。建议加强和完善对罕见病患者的医药保障,如积极开展罕见病公共
          卫生服务,加强罕见病诊疗合作与罕见病药的研究;我国医药卫生相关部门可从医疗卫生服务、药品供应保障、医疗保障和其他社
          会保障等方面协同努力。
          关键词  罕见病;潜在狄利克雷分布主题模型;情感分析;诺西那生钠;医药保障

          Study on the strategy of medical security for rare diseases in China from the perspective of public concern
          and emotion: taking nosinasine as an example
          TAI Yangfang,GUO Ying,WANG Ziqiong,WANG Junhui,HUA Guomin,YANG Huili,WANG Xiaojie,HE
          Peifeng(School of Management, Shanxi Medical University, Taiyuan 030001, China)

          ABSTRACT    OBJECTIVE  To  mine  the  focus  and  emotional  attitude  of  the  public  on  rare  diseases,  and  to  provide  decision-
          making reference for relevant departments to formulate and implement relevant policies, systems and strategies for medical security
          of  rare  diseases.  METHODS  Latent  Dirichlet  allocation (LDA)  topic  model  and  sentiment  analysis  method  were  used  to  analyze
          the comment text of short videos related to the “nosinasine” medical insurance admission event on the Bilibili video website, mine
          the  theme  and  sentiment  tendency  of  the  text,  and  put  forward  relevant  strategy  suggestions.  RESULTS  A  total  of  8  videos  with
          tens of thousands of playback and 7 109 text data were obtained. According to the LDA analysis, online public paid attention to 9
          topics  related  to  rare  diseases (the  price  of  rare  disease  drugs,  the  inclusion  of  rare  disease  drugs  in  medical  insurance,  the  status
          quo of research and development of rare disease drugs, the scope of medical insurance and the medical security system, the plight
          of  rare  disease  patients,  the  prevention  and  screening  of  rare  diseases,  the  value  of  rare  disease  drugs  in  medical  insurance,  the
          Chinese  and  western  medical  methods  of  rare  diseases,  and  the  supply  and  demand  status  of  rare  disease  drugs),  which  could  be
          summarized  into  4  categories  according  to  the  objects  of  concern (rare  disease  drugs,  rare  disease  medical  insurance,  rare  disease
          medical  and  health  services  and  rare  disease  patient  groups).  On  the  whole,  the  emotional  tendency  of  the  Internet  public  towards
          each  topic  showed  a  low  positive  and  high  negative  tendency.  CONCLUSIONS  The  public  paid  more  attention  to  the  price,
          research and development, supply and demand of rare disease drugs, and was deeply worried about the current medical status of rare
          diseases  in  China.  To  strengthen  and  improve  the  medical  security  for  patients  with  rare  diseases,  such  as  actively  carrying  out
          public  health  services  for  rare  diseases,  strengthening  cooperation  in  the  diagnosis  and  treatment  of  rare  diseases,  and  researching
          rare  disease  drugs,  etc.  Chinese  medical  and  health  departments  can  make  concerted  efforts  in  medical  and  health  services,  drug
          supply security, medical security and other social security.
          KEYWORDS     rare diseases; latent Dirichlet allocation topic model; sentiment analysis; nosinasine; medical security


                                                                  罕见病是指发病率低、患病人数相对较少的疾病,

              Δ 基金项目 国家社会科学基金项目(No.21BTQ050);山西医科             大多属于疑难病,涉及多病种,诊治困难,一直以来都是
          大学教育教学改革一般研究项目(No.SXJ202078);山西省软科学研究               一个棘手的医学难题。虽然罕见病的发病率较低,但由
          计划项目(No.2019041046-4)
                                                              于我国人口基数大,截至 2022 年,中国罕见病患病人数
             *第一作者 副教授,博士。研究方向:医学知识挖掘、信息组织与
                                                                       [1]
          检索。E-mail:annabelchina@126.com                      约2 000万 ,规模并不小。受罕见病专科医疗资源短缺

          · 774 ·    China Pharmacy  2023 Vol. 34  No. 7                               中国药房  2023年第34卷第7期
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