| 引用本文：刘文彬, 陈英耀, 施李正, 庞伟明, 董恒进.卫生技术评估决策转化动力的量表开发[J].中国卫生政策研究,2018,11(4):55-60 |
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| 卫生技术评估决策转化动力的量表开发 |
| 投稿时间：2017-09-08 修订日期：2017-11-03 PDF全文浏览 HTML全文浏览 |
| 刘文彬1,2, 陈英耀2, 施李正3, 庞伟明4, 董恒进5 |
1. 福建医科大学公共卫生学院 福建福州 350004;
2. 复旦大学公共卫生学院 卫生部卫生技术评估重点实验室 上海 200032;
3. 美国杜兰大学公共卫生和热带病学院 美国路易斯安那州新奥尔良市 70112;
4. 加拿大劳伦森大学乡镇和北部卫生服务研究所和北安大略省医学院 美国西比利市P3E 2C6;
5. 浙江大学医学部公共卫生学院卫生政策学研究中心 浙江杭州 310058 |
| 摘要:本研究首先通过前期研究回顾和理论分析，形成涵盖"证据影响力"、"机构支持力"、"渠道联接性"、"交流协作度"、"决策方推动力"五个维度的测量量表，并通过问卷调查，检验量表的信度和效度。结果显示量表的总体Cronbach's α系数为0.904，除了"决策方推动力"维度外，其余四个维度的Cronbach's α系数值均超过0.80；各维度的平均方差抽取量均超过0.50，且任意两个维度之间的相关系数的最大值为0.571（低于标准值0.85），各维度与其他维度的标准化相关系数均小于各维度平均方差抽取量的算术平方根，具有良好的信度、效度。 |
| 关键词:卫生技术评估 决策转化 量表 |
| 基金项目:中华医学基金会（CMB）资助项目（11-067） |
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| Scale development of transformation from health technology assessment to policy-making |
| LIU Wen-bin1,2, CHEN Ying-yao2, SHI Li-zheng3, PONG W Raymond4, DONG Heng-jin5 |
1. School of Public Health, Fujian Medical University, Fuzhou Fujian 350004, China;
2. School of Public Health, Fudan University, Key Laboratory of Health Technology Assessment, Ministry of Health, Shanghai 200032, China;
3. School of Public Health and Tropical Medicine, Tulane University, New Orleans Louisiana 70112, USA;
4. Centre for Rural and Northern Health Research and Northern Ontario School of Medicine, Laurentian University, Sudbury, Ontario, P3E 2 C6, Canada;
5. Research Centre for Health Policy, School of Public Health, Medical College of Zhejiang University, Hangzhou Zhejiang 310058, China |
| Abstract:Through literature review and theoretical analysis, an initial scale was designed with five dimensions namely "evidence influence", "organizational support", "channel connectivity", "communication and collaboration" and "decision-makers impetus". The reliability and validity of the scale were evaluated through questionnaire survey on HTA researchers. It is reported that the overall Cronbach's α coefficient of the questionnaire was 0.904, meanwhile the Cronbach's α coefficient of each dimension was more than 0.80 except the dimension of "decision-makers impetus". The average variance extraction of each dimension was more than 0.50. The maximum of correlation coefficients between each dimension was 0.571, which was less than the threshold value of 0.85. Additionally, for certain dimensions, the standardized correlation coefficients to each other dimensions was less than regarding arithmetic square root of average variance extraction. |
| Key words:Health technology assessment (HTA) Knowledge translation to policy-making Scale |
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