Angulo-Pueyo Ester, Ridao-López Manuel, Martínez-Lizaga Natalia, García-Armesto Sandra, Peiró Salvador, Bernal-Delgado Enrique
Health Services and Policy Research Unit, Health Sciences Institute in Aragon (IACS) IIS Aragon, Zaragoza, Spain.
Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain.
BMJ Open. 2017 Feb 24;7(2):e011844. doi: 10.1136/bmjopen-2016-011844.
Potentially avoidable hospitalisations have been used as a proxy for primary care quality. We aimed to analyse the ecological association between contextual and systemic factors featured in the Spanish healthcare system and the variation in potentially avoidable hospitalisations for a number of chronic conditions.
A cross-section ecological study based on the linkage of administrative data sources from virtually all healthcare areas (n=202) and autonomous communities (n=16) composing the Spanish National Health System was performed. Potentially avoidable hospitalisations in chronic conditions were defined using the Spanish validation of the Agency for Health Research and Quality (AHRQ) preventable quality indicators. Using 2012 data, the ecological association between potentially avoidable hospitalisations and factors featuring healthcare areas and autonomous communities was tested using multilevel negative binomial regression.
In 2012, 151 468 admissions were flagged as potentially avoidable in Spain. After adjusting for differences in age, sex and burden of disease, the only variable associated with the outcome was hospitalisation intensity for any cause in previous years (incidence risk ratio 1.19 (95% CI 1.13 to 1.26)). The autonomous community of residence explained a negligible part of the residual unexplained variation (variance 0.01 (SE 0.008)). Primary care supply and activity did not show any association.
The findings suggest that the variation in potentially avoidable hospitalisations in chronic conditions at the healthcare area level is a reflection of how intensively hospitals are used in a healthcare area for any cause, rather than of primary care characteristics. Whether other non-studied features at the healthcare area level or primary care level could explain the observed variation remains uncertain.
可避免的住院率一直被用作初级医疗质量的替代指标。我们旨在分析西班牙医疗体系中的背景因素和系统因素与多种慢性病可避免住院率变化之间的生态关联。
进行了一项横断面生态研究,该研究基于几乎所有构成西班牙国家卫生系统的医疗区域(n = 202)和自治区(n = 16)的行政数据源之间的关联。使用美国卫生研究与质量机构(AHRQ)可预防质量指标的西班牙验证版来定义慢性病中可避免的住院情况。利用2012年的数据,通过多级负二项回归检验可避免住院率与医疗区域和自治区因素之间的生态关联。
2012年,西班牙有151468例住院被标记为可能可避免。在对年龄、性别和疾病负担差异进行调整后,与结果相关的唯一变量是前几年任何原因导致的住院强度(发病率风险比1.19(95%置信区间1.13至1.26))。居住的自治区对剩余无法解释的变异解释的部分可忽略不计(方差0.01(标准误0.008))。初级医疗服务的提供和活动未显示出任何关联。
研究结果表明,医疗区域层面慢性病可避免住院率的变化反映的是该医疗区域因任何原因使用医院的密集程度,而非初级医疗的特征。医疗区域层面或初级医疗层面的其他未研究特征是否能解释观察到的变异仍不确定。