以质量求发展，以服务铸品牌

Journal of Nursing ›› 2024, Vol. 31 ›› Issue (20): 24-28.doi: 10.16460/j.issn1008-9969.2024.20.024

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Content research of national “Internet + Nursing Service” policy texts from 2018 to 2022: a policy tool perspective

SU Ming-yu, LU Yun-hong, FENG Shao-qian, GAO She-lan   

  1. School of Nursing, Guangxi Medical University, Nanning 530021, Guangxi
  • Received:2024-07-10 Online:2024-10-25 Published:2024-11-07

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Abstract: Objective To explore the characteristics of “Internet + Nursing Service” related policies in various provinces of China, and provide reference for the formulation and optimization of policies in the future. Methods Policy documents related to “Internet + Nursing Service” issued by 10 provinces in China from March 2019 to June 30, 2023 were coded and statistically analyzed. Results A total of 779 policy tools related to “Internet + Nursing Service” were coded. In terms of policy tool dimension, the quantity of environmental policy tools exceeds that of supply-side policy tools and demand-side policy tools. Among them, environmental policy tools accounted for the highest proportion of 47.11% (367/779), while demand-side policy tools the lowest proportion of 20.79% (162/779). In terms of development task dimension, the construction of the new model of “Internet + nursing services” accounted for the highest proportion of 27.47% (214/779); while that of models of health culture and social responsibility the lowest proportion of 2.18% (17/779). Conclusion Policies related to “Internet + nursing services” exhibit an uneven development pattern. In policy tool dimension, environmental policy tools play a core role; supply-side policy tools are relatively balanced in development, while the application of demand-side policy tools is insufficient; in terms of development task, tools of innovation leadership and health culture construction have relatively low proportion. Policy tools need to be optimized to achieve comprehensive and high-quality development of nursing services.

Key words: policy analysis, Internet + nursing service, nursing service quality, nursing innovation

CLC Number: 

  • R47
[1] 彭佳玲,杨青. “互联网+护理服务”质量评价体系的构建[J]. 护理研究,2024,38(7):1253-1261.DOI:10.12102/j.issn.1009-6493.2024.07.020.
[2] 凌伟明,张振瑜,张远妮,等. 护士群体互联网+护理服务使用意愿影响因素量表的编制及信效度检验[J]. 护理学报, 2020,27(23):1-4.DOI:10.16460/j.issn1008-9969.2020.23.001.
[3] 张威,徐月华,张丽敏. 384名肿瘤医院护士“互联网+护理服务”职业认同感现状及影响因素研究[J]. 护理学报, 2024, 31(11): 53-57.DOI:10.16460/j.issn1008-9969.2024.11.053.
[4] 张珺茹,沈玉玲,王军永,等. 政策工具视角下我国“互联网+护理服务”政策文本量化分析[J]. 医学与社会, 2022, 35(10): 18-22.DOI:10.13723/j.yxysh.2022.10.004.
[5] 王丽婷,唐浪娟,岳丽春,等. 护士从事互联网居家护理服务工作体验的研究[J]. 中华护理杂志, 2020, 55(7):1067-1071.DOI:10.3761/j.issn.0254-1769.2020.07.020.
[6] 谢红. “互联网+护理服务”的创新发展路径研究[J]. 中国护理管理, 2019, 19(7): 961-964.DOI: 10.3969/j.issn.1672-1756.2019.07.001.
[7] 黄盼盼,程红,张迎红,等. 基于4R危机管理理论构建互联网+护理服务风险管理评价指标体系[J].护理学报, 2022,29(9):16-20.DOI:10.16460/j.issn1008-9969.2022.09.016.
[8] 刘晖,王兵,寇丽圆,等. 公共健康视角下我国电子烟监管政策文本量化研究[J]. 中国医疗管理科学, 2024,14(2):25-30.DOI:10.3969/j.issn.2095-7432.2024.02.005.
[9] 李诗麒,刘黎明,宣天惠,等. 政策工具视角下省级层面公立医院高质量发展政策文本量化分析[J].中国医院管理, 2022, 42(11): 34-39.
[10] 刘羽佳,陆方,刘瑞韫. 政策工具视角下的国家医养结合试点城市养老护理员政策研究[J]. 护理学报, 2023, 30(17): 24-28. DOI:10.16460/j.issn1008-9969.2023.17.024.
[11] 黄红华. 政策工具理论的兴起及其在中国的发展[J]. 社会科学,2010,(4):13-19.DOI:10.3969/j.issn.0257-5833.2010.04.002.
[12] 张招椿,胡海源,陈川,等. 政策工具视角下我国家庭医生政策量化分析[J]. 中国全科医学, 2019, 22(10):1139-1146.DOI:10.12114/j.issn.1007-9572.2018.00.465.
[13] 汤少梁,斯颖航. 政策工具视角下我国医联体相关政策量化研究[J]. 卫生软科学, 2020, 34(1): 32-36.DOI:10.3969/j.issn.1003-2800.2020.01.007.
[14] 孙小琳,韩振燕. 政策工具视域下医养结合政策内容研究——基于2006~2020年南京市政策文本分析[J]. 中国卫生事业管理,2022,39(4):245-249.DOI:10.3969/j.issn.1004-4663.2022.4.zgwssygl202204002.
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