疫情防控常态化下患者双渠道就诊满意度影响因素研究

doi:10.13266/j.issn.0252-3116.2022.03.013

图书情报工作 ›› 2022, Vol. 66 ›› Issue (3): 118-129.DOI: 10.13266/j.issn.0252-3116.2022.03.013

疫情防控常态化下患者双渠道就诊满意度影响因素研究

翟运开^1,2,3, 张倩¹, 赵栋祥^1,3

1. 郑州大学管理工程学院郑州 450001;
2. 郑州大学第一附属医院郑州 450052;
3. 互联网医疗系统与应用国家工程实验室郑州 450052

收稿日期:2021-09-06 修回日期:2021-11-12 出版日期:2022-02-05 发布日期:2022-02-16
通讯作者: 赵栋祥,副研究员,博士,通信作者,E-mail:zhao_dongxiang@163.com。
作者简介:翟运开,教授,博士,博士生导师;张倩,硕士研究生

Research on Influencing Factors of Patient Satisfaction with Dual-Channel Medical Treatment Under the Normalization of Epidemic Prevention

Zhai Yunkai^1,2,3, Zhang Qian¹, Zhao Dongxiang^1,3

1. School of Management Engineering, Zhengzhou University, Zhengzhou 450001;
2. The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052;
3. National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou 450052

Received:2021-09-06 Revised:2021-11-12 Online:2022-02-05 Published:2022-02-16

摘要/Abstract

摘要： [目的/意义] 通过分析患者双渠道就诊模式下的在线评论，挖掘其满意度的影响因素，丰富患者满意度研究，从患者满意角度出发为后疫情时期患者双渠道就诊模式下在线医疗平台及关联线下医院的运营提供可行性参考建议。[方法/过程] 首先基于扎根理论对患者双渠道就诊模式下的在线评论进行编码，识别患者满意度的主要影响因素及其关系，结合双因素理论对患者满意度激励保健因素进行初步识别。其次通过构建解释结构模型（ISM）分析各影响因素的层次结构及作用路径。再次通过交叉影响矩阵相乘法（MICMAC）分析各影响因素的依赖性及驱动力，找出提升患者满意度的重要驱动因素。最后对比单渠道患者满意度分析结果，得到提升患者双渠道就诊满意度的相关启示。[结果/结论] 研究发现患者双渠道就诊满意度受到患者感知、医院质量、医护服务、平台保障及政策保障共5个维度21个因素的影响，其中安全性、被关怀感、对比感知差异、医院口碑、基础设施、医护知识分享、沟通交流及服务质量是患者双渠道就诊满意度的激励因素。底层因素通过两条路径作用于患者满意度，政策依据是患者就诊满意度的根源性影响因素，医院秩序、管理规范、医护专业素养、专业技能、个人素养及平台功能为关键性驱动因素。与单一渠道相比，患者双渠道就诊满意度显著受到安全性、政策依据、医护知识分享及医院管理规范的影响。

关键词: 解释结构模型, 在线评论, 双渠道就诊, 患者满意度, 影响因素

Abstract: [Purpose/significance] This paper explores the influencing factors of patient satisfaction by analyzing online comments under the dual-channel consultation mode of patients, so as to enrich the research of patient satisfaction, and provide feasible suggestions from the perspective of patient satisfaction for the operation of online medical platforms and related offline hospitals under the dual-channel consultation mode for patients in the post-epidemic period. [Method/process] Firstly, based on the grounded theory, this paper coded the online comments of patients under the dual-channel consultation mode, and identified the main influencing factors of patient satisfaction and the relationships among the factors. Combined with the two-factor theory, this study preliminarily identified the motivating health care factors of patient satisfaction. Secondly, it analyzed the hierarchical structure and action path of each influencing factor by constructing ISM (interpretation structure model). And then it analyzed the dependence and driving force of each influencing factor through MICMAC (cross-influence matrix multiplication), and found out the important driving factors to improve patient satisfaction. Finally, the paper concluded some suggestions by comparing the obtained results of single-channel patient satisfaction analysis to improve the patient satisfaction with dual-channel consultation. [Result/conclusion] The study finds that patient satisfaction with dual-channel consultation is affected by 21 factors from 5 dimensions, including the patient perception, hospital quality, medical care service of dootors and nurses, platform guarantee and policy implementation. Among them, safety, feelings of being cared, contrast perception differences, the hospital reputation, hospital infrastructure, medical knowledge sharing of doctors and nurses, medical communication and medical service quality were the motivating factors of patient satisfaction with dual-channel consultation. The underlying factors act on patient satisfaction through two paths. The policy basis is the root influencing factor of patient satisfaction, and the hospital order, hospital management norms, professional quality and professional skills of doctors and nurses, doctors' and nurses' personal quality and platform function are the key driving factors. Compared with single channel, patient satisfaction with dual-channel consultation is significantly affected by safety, policy basis, medical knowledge sharing of doctors and nurses and hospital management norms.

Key words: interpretive structure model, online reviews, dual-channel consultation, patient satisfaction, influencing factors

中图分类号:

G252

翟运开, 张倩, 赵栋祥. 疫情防控常态化下患者双渠道就诊满意度影响因素研究[J]. 图书情报工作, 2022, 66(3): 118-129.

Zhai Yunkai, Zhang Qian, Zhao Dongxiang. Research on Influencing Factors of Patient Satisfaction with Dual-Channel Medical Treatment Under the Normalization of Epidemic Prevention[J]. Library and Information Service, 2022, 66(3): 118-129.

参考文献

[1] 艾媒咨询. 2020年中国互联网医疗行业发展专题研究报告[EB/OL].[2021-07-12].https://www.iimedia.cn/c400/75770.html.
[2] 张馨遥,沈涌,张健,等.基于模糊综合评价的在线健康信息服务用户满意度分析[J].情报科学,2018,36(6):73-78, 99.
[3] WARE J E, SNYDER M K, WRIGHT W R, et al. Defining and measuring patient satisfaction with medical care[J]. Evaluation and program planning, 1983, 6(3/4):247-263.
[4] ANDERSON, ELIZABETH A. Measuring service quality at a university health clinic[J]. International journal of health care quality assurance, 1995, 8(2):32-37.
[5] MCCLELLAND L E, VOGUS T J. Compassion practices and HCAHPS:does rewarding and supporting workplace compassion influence patient perceptions?[J]. Health services research, 2014, 49(5):1670-1683.
[6] 苏琳,孙婧妍,宋婵娟,等.门诊及住院患者满意度测量量表研究及评价[J].中国卫生统计,2019,36(5):731-734.
[7] 刘宁,王珏.基于Bayers估计-结构方程模型的康复患者满意度的实证研究[J].中国康复医学杂志,2019,34(9):1083-1087.
[8] 郑国管,王小合,钱宇,等.患者满意度测评问题与治理路径思考[J].中国卫生政策研究,2019,12(3):8-16.
[9] 张馨遥,沈涌,张健,等.网络用户健康信息服务满意度量表编制及其信度和效度检验[J].情报科学,2018,36(3):144-150.
[10] 晏梦灵,张佳源.医生的信息-情感交互模式对移动问诊服务满意度的影响——基于"激励-保健"理论的分析[J].中国管理科学,2019,27(9):108-118.
[11] SANDEEP K, LIANG F Q, SUBODHA K. When a doctor knows, it shows:an empirical analysis of doctors' responses in a Q&A forum of an online healthcare portal[J]. Information systems research,2019,30(3):872-891.
[12] 翟运开,刘新然,赵杰.感知价值对远程医疗患者满意度和忠诚度的影响研究[J].中国医院管理,2020,40(1):42-45.
[13] 张建洁,李金林,曹雪丽.患者就医满意度影响因素的实证分析[J].北京理工大学学报(社会科学版),2018,20(1):102-109.
[14] HONG W, NAIJI L. Service provision, pricing, and patient satisfaction in online health communities[J]. International journal of medical informatics,2018,110:77-89.
[15] HUALONG Y, XITONG G, TIANSHI W. Exploring the influence of the online physician service delivery process on patient satisfaction[J]. Decision support systems,2015,78:113-121.
[16] BRERETON E J, MATLOCK D D, FITZGERALD M, et al. Content analysis of negative online reviews of hospice agencies in the United States[J]. Jama network open, 2020, 3(2):e1921130.
[17] LOCOCK L, SKEA Z, ALEXANDER G, et al. Anonymity, veracity and power in online patient feedback:a quantitative and qualitative analysis of staff responses to patient comments on the ‘Care Opinion’ platform in Scotland[J]. Digital health, 2020, 6:1-13.
[18] MARRERO K, KING E, FINGERET A L. Impact of surgeon gender on online physician reviews[J]. Journal of surgical research, 2020, 245:510-515.
[19] GAVIN B, PAUL B. What does patient feedback reveal about the NHS? a mixed methods study of comments posted to the NHS choices online service[J]. BMJ open,2017,7(4):e013821.
[20] 王若佳,张璐,王继民.基于扎根理论的在线问诊用户满意度影响因素研究[J].情报理论与实践,2019,42(10):117-123.
[21] ONG C S, CHANG S C, LEE S M. Website satisfaction dimensions:factors between satisfaction and dissatisfaction[J]. Information development, 2013, 29(4):299-308.
[22] GLASER B G, STRAUSS A L, STRUTAEL E. Discovery of grounded theory[J]. Nursing research,1968,17(4):364-365.
[23] 陈向明.扎根理论的思路和方法[J].教育研究与实验,1999(4):58-63.
[24] FREDERICK H, BERNARD M, BARBARA B S, et al.赫茨伯格的双因素理论[M].北京:中国人民大学出版社,2009.
[25] SAGE A P. Methodology for large-scale systems[M]. New York:Mcgraw-hill,1977.
[26] 王凌峰,詹雅晴,王璐.基于ISM方法的高管薪酬-绩效敏感性影响因素交互作用机理分析[J].系统科学学报,2020,28(4):122-126.
[27] WATSON R H. Interpretive structural modeling-a useful tool for technology assessment?[J]. Technological forecasting & social change,1978,11(2):165-185.
[28] 娄策群,牟奇蕾.基于解释结构模型的信息生态制度环境影响因素研究[J].情报科学,2021,39(6):19-26.
[29] MANI V, AGRAWAL R, SHARMA V. Impediments to social sustainability adoption in the supply chain:an ISM and MICMAC analysis in Indian manufacturing industries[J]. Global journal of flexible systems management,2015,17(2):135-156.
[30] 梅建明,张宽.PPP项目风险合理分担影响因素的ISM-MICMAC研究[J].中南民族大学学报(人文社会科学版),2021,41(1):132-140.
[31] 胡蓉,陈惠芳,徐卫国.移动医疗服务中医患互动对患者感知价值的影响——以知识共享为中介变量[J].管理科学,2018,31(3):75-85.

疫情防控常态化下患者双渠道就诊满意度影响因素研究

Research on Influencing Factors of Patient Satisfaction with Dual-Channel Medical Treatment Under the Normalization of Epidemic Prevention

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