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数据分析与知识发现  2018, Vol. 2 Issue (1): 76-87    DOI: 10.11925/infotech.2096-3467.2017.1038
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于互动视角的在线医疗问答患者用户使用研究
张李义,李慧然()
武汉大学信息管理学院 武汉 430072
Studying Social Interaction of Online Medical Question-Answering Service
Liyi Zhang,Huiran Li()
School of Information Management, Wuhan University, Wuhan 430072, China
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摘要 

目的】研究社会交互对在线医疗问答患者用户使用意愿的作用机理。【方法】以互动为研究视角, 基于互动感知理论构建在线医疗问答患者用户使用研究理论模型, 采用调研问卷的方式收集371份有效数据, 使用Smart PLS 3.0工具对模型进行检验。【结果】本文验证了在线医疗问答情境下患者在贡献信息时感知的自我效能和利他愉悦, 人机交互时的感知易用性和感知有用性, 以及认知信任和情感信任对其使用意愿的正向影响, 扩展了以往的研究情景。较以往研究更进一步的是本文发现患者用户在接收信息时感知的信息和情感支持对认知和情感信任具有不同影响, 并在患-医和患-患交互中表现出差异。【局限】由于疾病类型和信息作用方式(直接或间接)差异而导致的结果差异尚待研究。【结论】在线医疗问答患者用户的人际互动和人机互动感知对其使用意愿均有正向影响。

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张李义
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关键词 在线医疗问答互动感知使用意愿信任    
Abstract

[Objective] To explore the impacts of social interaction on online medical question-answering service. [Methods] We proposed a new research model to study online medical question-answering usage. We collected data with questionnaire and examined the proposed model with the Smart PLS 3.0. A total of 371 valid samples were obtained and analyzed. [Results] We found that users were happy after contributing information online. The usefulness and ease of use during human-machine interaction, as well as the cognitive-trust and affection-trust posed positive effect to patients’ usage of online medical question-answering services. We also found the information and emotion support had different impacts on cognitive and affection trust, which led to different behaviors of patient-doctor and patient-patient interactions. [Limitations] Impacts of different diseases and information functions (direct or indirect) on the interaction should be further studied. [Conclusions] Human-human and human-machine interactions have positive effects on patient’s intention of using online medical question-answering services.

Key wordsOnline Medical Question-Answering    Interaction Perception    Usage Intention    Trust
收稿日期: 2017-10-20     
引用本文:   
张李义,李慧然. 基于互动视角的在线医疗问答患者用户使用研究[J]. 数据分析与知识发现, 2018, 2(1): 76-87.
Liyi Zhang,Huiran Li. Studying Social Interaction of Online Medical Question-Answering Service. Data Analysis and Knowledge Discovery, DOI:10.11925/infotech.2096-3467.2017.1038.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2017.1038
图1  本研究的理论模型
描述变量 描述内容 频数 百分比
性别 170 45.8%
201 54.2%
年龄 18-24岁 183 49.3%
25-34岁 120 32.3%
35-49岁 57 15.4%
50岁及以上 11 3.0%
受教育
程度
高中及以下 51 13.7%
专科 59 15.9%
本科 159 42.9%
研究生 102 27.5%
职业 学生 145 39.1%
企业职员 128 34.5%
政府/事业单位职员 43 11.6%
专业人士 11 3.0%
企业管理者 16 4.3%
其他职业 28 7.5%
互联网
使用经验
10年以上 157 42.3%
8-10年 142 38.3%
5-7年 64 17.3%
2-4年 5 1.3%
2年以下 3 0.8%
慢性病 69 18.6%
302 81.4%
表1  样本描述性统计表
变量 测量问项 因子载荷 Cronbach's α CR AVE R2
感知自我效能
(PSEF)
PSEF1 0.917 0.918 0.948 0.859
PSEF2 0.920
PSEF3 0.943
感知利他愉悦
(PH)
PH1 0.837 0.909 0.932 0.734
PH2 0.861
PH3 0.840
PH4 0.869
PH5 0.876
认知信任
(CT)
CT1 0.916 0.894 0.934 0.825 0.657
CT2 0.920
CT3 0.889
情感信任
(AT)
AT1 0.879 0.845 0.906 0.763 0.645
AT2 0.855
AT3 0.886
(患-医交互)
感知信息支持
(PDIS)
PDIS1 0.843 0.883 0.920 0.741
PDIS2 0.884
PDIS3 0.864
PDIS4 0.852
(患-医交互)
感知情感支持
(PDES)
PDES1 0.823 0.829 0.898 0.746
PDES2 0.880
PDES3 0.886
(患-患交互)
感知信息支持
(PPIS)
PPIS1 0.843 0.897 0.929 0.765
PPIS2 0.905
PPIS3 0.889
PPIS4 0.860
(患-患交互)
感知情感支持
(PPES)
PPES1 0.896 0.871 0.921 0.795
PPES2 0.894
PPES3 0.885
感知易用性
(PEOU)
PEOU1 0.856 0.889 0.923 0.750
PEOU2 0.859
PEOU3 0.877
PEOU4 0.874
感知有用性
(PU)
PU1 0.895 0.906 0.941 0.842
PU2 0.917
PU3 0.940
使用意愿
(UI)
UI1 0.902 0.903 0.939 0.838 0.809
UI2 0.919
UI3 0.925
表2  测量模型信度效度相关指标
PSEF PH CT AT PDIS PDES PPIS PPES PEOU PU UI
PSEF 0.927
PH 0.720 0.857
CT 0.650 0.805 0.908
AT 0.650 0.823 0.850 0.874
PDIS 0.628 0.734 0.778 0.757 0.861
PDES 0.619 0.718 0.620 0.667 0.665 0.863
PPIS 0.740 0.763 0.776 0.743 0.845 0.788 0.874
PPES 0.659 0.749 0.709 0.741 0.804 0.700 0.828 0.892
PEOU 0.589 0.787 0.764 0.776 0.736 0.659 0.735 0.684 0.866
PU 0.604 0.790 0.848 0.789 0.761 0.617 0.764 0.687 0.785 0.918
UI 0.671 0.816 0.844 0.825 0.816 0.636 0.773 0.719 0.790 0.835 0.915
表3  测量模型区分效度指标
假设 路径 结论
H1 感知自我效能->使用意愿 成立
H2 感知利他愉悦->使用意愿 成立
H3 认知信任->使用意愿 成立
H4 情感信任->使用意愿 成立
H5a 感知患-医信息支持->认知信任 成立
H5b 感知患-医信息支持->情感信任 成立
H5c 感知患-医情感支持->认知信任 不成立
H5d 感知患-医情感支持->情感信任 成立
H6a 感知患-患信息支持->认知信任 成立
H6b 感知患-患信息支持->情感信任 不成立
H6c 感知患-患情感支持->认知信任 不成立
H6d 感知患-患情感支持->情感信任 成立
H7 感知易用性->使用意愿 成立
H8 感知有用性->使用意愿 成立
表4  模型假设检验
图2  研究模型结果
(注: 路径显著性水平, *代表p<0.05, **代表p<0.01, ***代表p<0.001)
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