Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
China Center for Health Development Studies, Peking University Health Science Center, Beijing, China.
BMC Health Serv Res. 2023 Aug 29;23(1):917. doi: 10.1186/s12913-023-09916-4.
BACKGROUND: Continuity of care (COC) is highly regarded in health promotion and health system strengthening. However, there is a lack of multidimensional quantitative assessment of continuity, making it challenging to evaluate and compare. Our objective was to create a novel measurement for COC and apply it in two rural counties in China to assess its validity and feasibility in evaluating health system reform. METHOD: This study conducted a scoping literature review on COC, examining existing frameworks and indicators. Following an online expert poll, a composite indicator was developed using the analytical hierarchy process (AHP). The measurement tool was then applied to assess the current state of COC in two rural counties in China. In addition to descriptive analysis, demographic and economic characteristics were analyzed for their association with COC scores using t-tests and multiple linear regression models. RESULTS: The final COC measurement encompasses three dimensions, six sub-dimensions, and ten individual indicators, which integrated and improved the current frameworks and indicators. Relational continuity, informational continuity, and management continuity were identified as the primary dimensions of COC measurement. The COC score is 0.49 in County A and 0.41 in County B, with information continuity being the highest-scoring dimension. Notably, the disparity in continuity scores is most pronounced among individuals with varying attitudes towards health, demonstrating a positive correlation. CONCLUSION: The construction of the composite indicator in this study offers a scientific and effective metric for comprehensively measuring continuity of care. The empirical data analysis conducted in Western China serves as an illustrative application of the indicator, demonstrating its efficiency. The results obtained from this analysis provide a solid foundation and valuable reference for strengthening the health system.
背景:连续性护理(COC)在健康促进和加强卫生系统方面受到高度重视。然而,缺乏多维定量评估连续性的方法,因此难以评估和比较。我们的目标是创建一种新的 COC 测量方法,并将其应用于中国的两个农村县,以评估其在评估卫生系统改革方面的有效性和可行性。
方法:本研究对 COC 进行了范围广泛的文献回顾,研究了现有的框架和指标。在进行在线专家调查后,使用层次分析法(AHP)开发了一个综合指标。然后,该测量工具用于评估中国两个农村县的 COC 现状。除了描述性分析外,还使用 t 检验和多元线性回归模型分析了人口统计学和经济特征与 COC 评分之间的关联。
结果:最终的 COC 测量包括三个维度、六个子维度和十个个体指标,它整合和改进了现有的框架和指标。关系连续性、信息连续性和管理连续性被确定为 COC 测量的主要维度。A 县的 COC 得分为 0.49,B 县的 COC 得分为 0.41,信息连续性是得分最高的维度。值得注意的是,在对健康态度不同的个体中,连续性评分的差异最为明显,呈现出正相关。
结论:本研究中综合指标的构建为全面测量连续性护理提供了科学有效的衡量标准。在中国西部进行的实证数据分析为该指标的应用提供了例证,展示了其效率。从分析中获得的结果为加强卫生系统提供了坚实的基础和有价值的参考。
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