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作 者:刘翠 陈秋霞[2] 吴瑞 LIU Cui;CHEN Qiuxia;WU Rui(Yaxin School of Nursing,Wuhan Institute of Design and Sciences,Wuhan 430205,China;Nursing Department of Tianyou Hospital Affiliated to Wuhan University of Science and Technology,Wuhan 430000,China;Nursing Department of Geriatric Hospital Affiliated to Wuhan University of Science and Technology,Wuhan 430000,China)
机构地区:[1]武汉设计工程学院亚心护理学院,武汉430205 [2]武汉科技大学附属天佑医院护理部,武汉430000 [3]武汉科技大学附属老年病医院护理部,武汉430000
出 处:《重庆医学》2025年第3期725-730,共6页Chongqing Medical Journal
基 金:湖北省卫生健康委员会项目(H20220097)。
摘 要:目的调查老年慢性病患者“互联网+护理服务”选择偏好,为精准对接其服务需求提供参考。方法基于离散选择试验,编制老年慢性病患者“互联网+护理服务”选择偏好问卷。采用随机抽样法对342例受访者进行面对面问卷调查,运用混合logit模型分析偏好结果。结果共回收问卷342份,有效问卷342份,有效回收率100%。研究纳入的6个属性差异均有统计学意义(P<0.05)。其中,高级护士(β=0.491)带来的效用最大,其次为医院规模较大(β=0.479)、医保报销比例70%(β=0.402)。受访者对高级护士的支付意愿最高,如果将服务提供者由初级护士转为高级护士,受访者愿意为此支付约165.1元。受访者对服务内容的支付意愿最低,如果服务内容由基础包转为个性包,受访者需要给予86.8元的补偿。结论老年慢性病患者对“互联网+护理服务”的偏好受到多因素影响,其在选择服务时会对各属性水平进行权衡。Objective To investigate the preferences of elderly chronic disease patients for“internet+nursing services”and provide references for precisely matching their service needs.Methods A questionnaire on service preferences for elderly chronic disease patients was developed based on a discrete choice experiment.Face-to-face questionnaire surveys were conducted with 342 respondents selected by random sampling,and preference outcomes were analyzed using a mixed logit model.Results A total of 342 collected questionnaires were valid,resulting in a 100%response rate.Significant differences were observed in all six included attributes(P<0.05).Senior nurses(β=0.491)provided the highest utility,followed by larger hospital size(β=0.479)and 70%medical insurance reimbursement(β=0.402).Respondents showed the highest willingness-to-pay for senior nurses,with 165.1 yuan willingness to pay when switching from junior to senior nurses..Conversely,respondents required 86.8 yuan compensation when switching from basic to personalized service packages.Conclusion Preferences for“internet+nursing services”among elderly chronic disease patients are multifactorial,and involving trade-offs among attribute levels during service selection.
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