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意大利多慢性病患者护理连续性评估

Assessment of Continuity of Care among Patients with Multiple Chronic Conditions in Italy.

作者信息

Napolitano Francesco, Napolitano Paola, Garofalo Luca, Recupito Marianna, Angelillo Italo F

机构信息

Department of Experimental Medicine, Second University of Naples, Via Luciano Armanni, Naples, Italy.

出版信息

PLoS One. 2016 May 3;11(5):e0154940. doi: 10.1371/journal.pone.0154940. eCollection 2016.

Abstract

The aims of the present study were to evaluate the extent of continuity of care and to investigate its association with several factors among a sample of outpatients with chronic diseases in Italy. The survey was conducted, using face to face interview, from March to December 2014 in a random sample of 633 outpatients with chronic conditions who were going in cardiology, metabolic disorders, and respiratory ambulatory center of four hospitals. A multivariate ordered logistic regression model was used to identify factors associated with the outpatients continuity of care. The mean of the Bice-Boxerman continuity of care (COC) index related to the entire sample was 0.44, and 27.9%, 58.4%, 13.7% had a low, intermediate, and high value of the index based on the tertiles of the distribution. The results of the ordered logistic regression analysis showed that female patients, those older, those who had a lower score of Katz Index of independence in activities of daily living, those who had a lower Charlson et al. comorbidity score, and those who had no hospitalization in the last year, were significantly more likely to have a higher value of the COC index. Patients who had completed a secondary school education had significantly lower odds of having a high value of COC index in comparison to patients with a college degree educational level. Policy makers and clinicians involved in the care of patients should implement comprehensively and efficiently efforts in order to improve the continuity of care in patients with chronic diseases.

摘要

本研究的目的是评估意大利慢性病门诊患者样本中的医疗连续性程度,并调查其与若干因素的关联。2014年3月至12月,采用面对面访谈的方式,对四家医院心脏病科、代谢紊乱科和呼吸科门诊的633名慢性病门诊患者进行了随机抽样调查。使用多元有序逻辑回归模型来确定与门诊患者医疗连续性相关的因素。与整个样本相关的比塞 - 博克斯曼医疗连续性(COC)指数的平均值为0.44,根据分布的三分位数,27.9%、58.4%、13.7%的患者该指数分别处于低、中、高值。有序逻辑回归分析结果显示,女性患者、年龄较大者、日常生活活动能力独立性卡茨指数得分较低者、查尔森等人合并症评分较低者以及去年未住院者,更有可能具有较高的COC指数值。与具有大学学历教育水平的患者相比,完成中等教育的患者具有高COC指数值的几率显著较低。参与患者护理的政策制定者和临床医生应全面、高效地努力,以改善慢性病患者的医疗连续性。

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