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作 者:戴琪 李方[2] 朱媛 张筱童 DAI Qi;LI Fang;ZHU Yuan;ZHANG Xiao-tong(Dept.of Thoracic Surgery,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China;Dept.of Nursing Administration,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China)
机构地区:[1]南京医科大学第一附属医院胸外科,江苏南京210029 [2]南京医科大学第一附属医院护理部,江苏南京210029
出 处:《护理学报》2024年第17期57-60,共4页Journal of Nursing(China)
基 金:2021年江苏省人民医院“临床能力提升”项目(JSPH-NC-2021-25);2022年江苏省人民医院“临床能力提升”项目(JSPH-NB-2022-4)。
摘 要:目的基于KANO模型调查并分析肺癌手术患者智慧照护需求的属性,提炼出患者的必备需求、期望需求、魅力需求。方法采用便利抽样法,选择2023年8—9月于某三级甲等医院就诊的205例肺癌患者作为研究对象,基于KANO模型确定各项需求的属性,计算出满意系数,并构建需求和满意度之间的二维矩阵图。结果经分析,肺癌手术患者智慧照护需求共包括魅力属性6项,期望属性8项,必备属性8项,无差异属性9项。二维矩阵图显示,重点优化区域包括6个条目,待改进区域包括7个条目,次要改进区域包括11个条目,优先满足区域则包括7个条目。结论基于KANO模型对肺癌手术患者的智慧照护需求进行属性分析,不仅对患者围术期的需求有了全面的认识,还有助于提炼出有效需求项,为针对性干预方案的设计提供框架。Objective To analyze the attributes of intelligent care demand of patients undergoing lung cancer surgery based on KANO model,and extract the necessary need,expected need and charm need of the patients.Methods A total of 205 patients with lung cancer treated in a tertiary grade-A hospital from August 2023 to September 2023 were selected by convenience sampling.The attributes of each demand were determined based on KANO model;the satisfaction coefficient was calculated,and two-dimensional matrix between demand and satisfaction was constructed.Results The intelligent care need of patients undergoing lung cancer surgery included 6 charm attributes,8 expected attributes,8 necessary attributes and 9 undifferentiated attributes.Two-dimensional matrix diagram showed that there were 6 items in key optimization area,7 items in the area to be improved,11 items in the secondary improvement area,and 7 items in the top priority area.Conclusion Attribute analysis of intelligent care need of lung cancer patients based on KANO model not only provides comprehensive understanding of perioperative needs of patients,but also helps to extract effective demands and provides framework for the design of targeted intervention programs.
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