Chang Guann-Ming, Chang Hsien-Yen, Kuo Wen-Yu, Tung Yu-Chi
Department of Family Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
BMC Health Serv Res. 2024 Dec 18;24(1):1609. doi: 10.1186/s12913-024-12099-1.
Care continuity and care coordination have received increased attention as important ways of decreasing overuse/low-value care. Prior research has verified an association between care continuity and overuse or an association between care coordination and overuse. However, little is known about the relative influences of care continuity and care coordination on overuse. We used nationwide population-based data from Taiwan to examine the relative associations of care continuity and care coordination with overuse.
We analyzed 1,462,960 beneficiaries in 2015 randomly sampled from all people enrolled in the Taiwan National Health Insurance. Having adjusted for patient characteristics, the multivariable logistic regression model was used to examine the associations of the Continuity of Care (COC) Index and care density on overuse, using a previously validated set of 18 potentially low-value care services.
Higher COC index was associated with lower overuse (low vs. medium: odds ratio [OR], 1.11; 95% confidence interval [CI], 1.09-1.12; high vs. medium: OR, 0.80; 95% CI, 0.795-0.813). Higher care density was associated with lower overuse (low vs. medium: OR, 1.01; 95% CI, 1.001-1.024; high vs. medium: OR, 0.88; 95% CI, 0.87-0.89).
Increased care continuity and care coordination are associated with decreased overuse. Facilitating care continuity and care coordination may be an important strategy for reducing overuse/low-value care.
作为减少过度使用/低价值医疗的重要方式,医疗连续性和医疗协调受到了越来越多的关注。先前的研究已经证实医疗连续性与过度使用之间存在关联,或者医疗协调与过度使用之间存在关联。然而,对于医疗连续性和医疗协调对过度使用的相对影响知之甚少。我们使用来自台湾的全国性基于人群的数据来研究医疗连续性和医疗协调与过度使用的相对关联。
我们分析了2015年从台湾全民健康保险所有参保人员中随机抽取的1,462,960名受益人的数据。在对患者特征进行调整后,使用多变量逻辑回归模型,采用一组先前验证的18种潜在低价值医疗服务,来研究医疗连续性(COC)指数和医疗密度与过度使用之间的关联。
较高的COC指数与较低的过度使用相关(低水平与中等水平相比:比值比[OR],1.11;95%置信区间[CI],1.09 - 1.12;高水平与中等水平相比:OR,0.80;95% CI,0.795 - 0.813)。较高的医疗密度与较低的过度使用相关(低水平与中等水平相比:OR,1.01;95% CI,1.001 - 1.024;高水平与中等水平相比:OR,0.88;95% CI,0.87 - 0.89)。
医疗连续性和医疗协调的增加与过度使用的减少相关。促进医疗连续性和医疗协调可能是减少过度使用/低价值医疗的一项重要策略。