中国全科医学 ›› 2024, Vol. 27 ›› Issue (28): 3552-3559.DOI: 10.12114/j.issn.1007-9572.2023.0445

• 论著 • 上一篇    下一篇

慢性病患者云随访服务体验量表的研制及其信效度检验

韩帅1, 朱雪娇1,*(), 舒洁2, 陈国伶3   

  1. 1.310000 浙江省杭州市,杭州师范大学护理学院
    2.310000 浙江省杭州市,杭州师范大学附属医院
    3.310000 浙江省杭州市拱墅区天水武林街道社区卫生服务中心
  • 收稿日期:2023-08-03 修回日期:2024-01-08 出版日期:2024-10-05 发布日期:2024-07-16
  • 通讯作者: 朱雪娇

  • 作者贡献:

    韩帅负责论文的构思与设计,负责过程的实施,包括数据采集、整理、统计分析,负责论文起草与修订;朱雪娇负责论文的构思与设计、负责质量控制及审校,参与论文起草与修订,对文章整体负责;舒洁、陈国伶参与论文的构思与设计,参与数据采集和论文修改。

Development and Validation of a Cloud Follow-up Service Experience Scale for Patients with Chronic Diseases

HAN Shuai1, ZHU Xuejiao1,*(), SHU Jie2, CHEN Guoling3   

  1. 1. School of Nursing, Hangzhou Normal University, Hangzhou 310000, China
    2. The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310000, China
    3. Community Health Service Center of Wulin Street, Tianshui, Gongshu District, Hangzhou 310000, China
  • Received:2023-08-03 Revised:2024-01-08 Published:2024-10-05 Online:2024-07-16
  • Contact: ZHU Xuejiao

摘要: 背景 随访是慢性病患者疾病管理的必要步骤,云随访作为新型的随访形式可能有助于提高随访质量,但目前缺乏从患者角度出发的云随访服务质量评价工具。 目的 研制慢性病患者云随访服务体验量表,并检验其信效度,旨在为云随访服务质量的评价提供工具。 方法 以服务质量评价模型为指导,通过文献回顾、半结构式访谈、专家函询及预调查形成量表;于2022年8—10月在杭州市某三甲医院和某社区卫生服务中心选取慢性病患者(n=480)进行调查,对量表进行项目分析和信效度检验。 结果 形成的慢性病患者云随访服务体验量表包含5个维度、37个条目,从患者的感受和期望两个方面进行评定。量表总的Cronbach's α系数为0.962,折半信度为0.732,重测信度为0.844。量表内容效度指数为0.980;量表和满意度评分相关系数为0.754(P<0.01);验证性因子分析显示量表拟合度良好;量表各条目的载荷系数为0.514~0.988(P<0.001),各维度组合信度为0.947~0.987,平均提取方差值(AVE)为0.693~0.947;维度之间相关系数均小于所对应的AVE平方根。 结论 本研究研制的慢性病患者云随访服务体验量表具有良好的信效度,可用于慢性病患者云随访服务体验的评估。

关键词: 慢性病, 随访, 服务质量, 服务体验, 量表

Abstract:

Background

Follow-up is a necessary step in the management of chronic disease patients. Cloud follow-up as a new form of follow-up may improve the quality of follow-up. However, there is currently a lack of patient-oriented evaluation tools for cloud follow-up service quality.

Objective

To develop a scale for evaluating the service experience of chronic disease patients in cloud follow-up and to examine its reliability and validity, in order to provide a tool for evaluating the quality of cloud follow-up services.

Methods

Guided by the service quality evaluation model, the scale was developed by using methods including literature review, semi-structured interview, expert consultation. During August to October 2022, a survey was conducted among chronic disease patients (n=480) discharged from a tertiary hospital and lived under the network of a community service center in Hangzhou, China. Item analysis and tests of reliability and validity were test on the developed scale.

Results

The developed scale for evaluating the service experience of chronic disease patients in cloud follow-up had 37 items distributed in 5 dimensions. Patients' perceptions and expectations to each item were evaluated simultaneously. The overall Cronbach's α coefficient of the developed scale was 0.962, with split-half reliability of 0.732 and test-retest reliability of 0.844. The content validity index of the scale was 0.980. The correlation coefficient between the scale and satisfaction scores was 0.754 (P<0.01). Confirmatory factor analysis showed good fit of the scale. The factor loading coefficients of the scale items ranged from 0.514 to 0.988 (P<0.001), the composite reliabilities of the dimensions ranged from 0.947 to 0.987, and the average variance extracted (AVE) ranged from 0.693 to 0.947. The correlation coefficients between dimensions were all smaller than the square root of the corresponding AVE.

Conclusion

The scale for evaluating the service experience of chronic disease patients in cloud follow-up, developed in this study, demonstrated good reliability and validity. It can be used to evaluate the experience of chronic disease patients in cloud follow-up services.

Key words: Chronic diseases, Follow-up, Service experience, Service quality, Scale

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