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首页> 外文期刊>BMC Health Services Research >A systematic review of the magnitude and cause of geographic variation in unplanned hospital admission rates and length of stay for ambulatory care sensitive conditions
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A systematic review of the magnitude and cause of geographic variation in unplanned hospital admission rates and length of stay for ambulatory care sensitive conditions

机译:对非计划入院率和非住院护理敏感病情住院时间的地理差异的大小和原因进行系统回顾

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Background Unplanned hospital admissions place a large and increasing strain on healthcare budgets worldwide. Many admissions for ambulatory care sensitive conditions (ACSCs) are thought to be preventable, a belief supported by significant geographic variations in admission rates. We conducted a systematic review of the evidence on the magnitude and correlates of geographic variation in ACSC admission rates and length of stay (LOS). Methods We performed a search of Medline and Embase databases for English language cross-sectional and cohort studies on 28th March 2013 reporting geographic variation in admission rates or LOS for patients receiving unplanned care across at least 10 geographical units for one of 35 previously defined ACSCs. Forward and backward citation searches were undertaken on all included studies. We provide a narrative synthesis of study findings. Study quality was assessed using a modified Newcastle-Ottawa scale. Results We included 39 studies comprising 25 on admission rates and 14 on LOS. Studies generally compared admission rates between regions (e.g. states) and LOS between hospitals. Most of the published research was undertaken in the US, UK or Canada and often focussed on patients with pneumonia, COPD or heart failure. 35 (90?%) studies concluded that geographic variation was present. Primary care quality and secondary care access were frequently suggested as drivers of admission rate variation whilst secondary care quality and adherence to clinical guidelines were often listed as contributors to LOS variation. Several different methods were used to quantify variation, some studies listed raw data, failed to control for confounders and used naive statistical methods which limited their utility. Conclusions The substantial geographical variations in the admission rates and LOS of potentially avoidable conditions could be a symptom of variable quality of care and should be a concern for clinicians and policymakers. Policymakers targeting a reduction in unplanned admissions could introduce initiatives to improve primary care access and quality or develop alternatives to admission. Those attempting to curb unnecessarily long LOS could introduce care pathways or guidelines. Methodological work on the quantification and reporting of geographic variation is needed to aid inter-study comparisons.
机译:背景技术计划外的医院接诊给全世界的医疗保健预算带来了越来越大的压力。人们认为,许多非卧床护理敏感病(ACSC)的住院是可以预防的,这一信念得到住院率的重大地理差异的支持。我们对ACSC入学率和住院时间(LOS)的地理差异的大小和相关性进行了系统的回顾。方法我们在2013年3月28日对Medline和Embase数据库进行了英语横断面和队列研究,该研究报告了35个先前定义的ACSC中至少10个地理单元接受计划外护理的患者的入院率或LOS的地域差异。对所有纳入研究进行了正向和反向引文检索。我们提供研究结果的叙述性综合。使用改良的纽卡斯尔-渥太华量表评估研究质量。结果我们纳入了39项研究,包括25项入学率和14项LOS。研究通常比较了区域(例如州)之间的入院率和医院之间的服务水平。大多数已发表的研究是在美国,英国或加拿大进行的,并且通常侧重于肺炎,COPD或心力衰竭的患者。 35个(90%)研究得出的结论是存在地理差异。经常建议将初级保健质量和二级保健访问作为入院率变化的驱动因素,而二级保健质量和对临床指南的依从性经常被认为是LOS变化的原因。几种不同的方法被用来量化变异,一些研究列出了原始数据,未能控制混杂因素,并使用了幼稚的统计方法来限制其实用性。结论潜在可避免疾病的入院率和LOS的地域差异很大,可能是医疗质量变化的征兆,应引起临床医生和决策者的关注。旨在减少计划外入院的政策制定者可以采取措施,改善基本医疗服务的获取和质量,或开发出替代入院的方案。那些试图抑制不必要的长期LOS的人可以引入护理途径或指南。需要进行有关地理变异量化和报告的方法学工作,以协助研究之间的比较。

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