Suppr超能文献

[容量与健康结果:来自系统评价和意大利医院数据评估的证据]

[Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data].

作者信息

Amato Laura, Colais Paola, Davoli Marina, Ferroni Eliana, Fusco Danilo, Minozzi Silvia, Moirano Fulvio, Sciattella Paolo, Vecchi Simona, Ventura Martina, Perucci Carlo Alberto

机构信息

Dipartimento di Epidemiologia del Servizio Sanitario Regionale, Regione Lazio, Centro Operativo Programma Nazionale Esiti, Network Italiano Cochrane.

出版信息

Epidemiol Prev. 2013 Mar-Jun;37(2-3 Suppl 2):1-100.

Abstract

BACKGROUND

Improving quality and effectiveness of health care is one of the priorities of health policies. Hospital or physician volume represents a measurable variable with a relevant impact on effectiveness of health care. A recent Italian law, the "spending review", calls for the definition of "qualitative, structural, technological and quantitative standards of hospital care". There is a need for an accurate evaluation of the available scientific evidence in order to identify these standards, including the volume of care above or below which the public and private hospitals may be accredited (or not) to provide specific health care interventions. Since 2009, the National Outcomes Programme evaluates outcomes of care of the Italian hospitals; nowadays it represents an official tool to assess the National Health System (NHS). In addition to outcome indicators, the last edition of the Programme (2013) includes a set of volume indicators for the conditions with available evidence of an association between volume and outcome. The assessment of factors, such as volume, that may affect the outcomes of care is one of its objectives.

OBJECTIVES

To identify clinical conditions or interventions for which an association between volume and outcome has been investigated. To identify clinical conditions or interventions for which an association between volume and outcome has been proved. To analyse the distribution of Italian health providers by volume of activity. To measure the association between volume of care and outcomes of the health providers of the Italian NHS.

METHODS

Systematic review. An overview of systematic reviews and Health Technology Assessment (HTA) reports performed searching electronic databases (PubMed, EMBASE, Cochrane Library), websites of HTA Agencies, National Guideline Clearinghouse up to February 2012. Studies were evaluated for inclusion by two researchers independently; the quality assessment of included reviews was performed using the AMSTAR checklist. For each health condition and for each outcome considered, total number of studies, participants, high volume cut-off values (range, average and median) have been reported, where presented. Number of studies (and participants) with statistically significant positive association and metanalysis performed were also reported, if available. Analysis of the distribution of Italian hospitals by volume of activity and the association between volume of activity and outcomes. Outcomes National Programme 2011 The analyses were performed using the Hospital Information System and the National Tax Register pertaining the year 2011. For each condition, the number of hospitals by volume of activity was calculated. Hospitals with a volume of activity lower than 3-5 cases/year for the condition under study were excluded from the analysis. For conditions with more than 1,500 cases per year and frequency of outcome ≥ 3%, the association between volume of care and outcome was analysed. For these conditions, risk-adjusted outcomes were estimated according to the selection criteria and the statistical methodology of the National Outcome Programme.

RESULTS

The systematic reviews identified were 107, of which 47, evaluating 38 clinical areas, were included. Many outcomes were assessed according to the clinical condition/procedure considered. The main outcome common to all clinical condition/procedures was intrahospital/30-day mortality. Health topics were classified in the following groups according to this outcome: Positive association: a statistically significant positive association was demonstrated in the majority of studies/participants and/or a pooled measure (metanalysis) with positive results was reported. Lack of association: no association was demonstrated in the majority of studies/participants and/or no metanalysis with positive results was reported. No sufficient evidence of association: both results of single studies and metanalysis do not allow to draw firm conclusions on the association between volume and outcome. Evidence of a positive association between volumes and intrahospital/ 30-day mortality was demonstrated for 26 clinical areas: AIDS, abdominal aortic aneurysm (ruptured and unruptured), coronary angioplasty, myocardial infarction, knee arthroplasty, coronary artery bypass, cancer surgery (breast, lung, colon, colon rectum, kidney, liver, stomach, bladder, oesophagus, pancreas, prostate); cholecystectomy, brain aneurysm, carotid endarterectomy, hip fracture, lower extremity bypass surgery, subarachnoid haemorrhage, neonatal intensive care, paediatric heart surgery. For 2 clinical conditions (hip arthroplasty and rectal cancer surgery) no association has been reported. Due to a lack of evidence, it was not possible to draw firm conclusion for 10 clinical areas (appendectomy, colectomy, aortofemoral bypass, testicle cancer surgery, cardiac catheterization, trauma, hysterectomy, inguinal hernia, paediatric oncology). The relationship between volume of clinician and outcomes has been assessed only through the literature review; to date, it is not possible to analyse this association for Italian health providers hospitals, since information on the clinician/surgeon on the hospital discharge chart is missing. The literature found a positive association for: AIDS, coronary angioplasty, unruptured abdominal aortic aneurysm, hip arthroplasty, coronary artery bypass, cancer surgery (colon, stomach, bladder, breast, oesophagus), lower extremity bypass surgery. The analysis of the distribution of Italian hospitals per volume of activity concerned the 26 conditions for which the systematic review has shown a positive association between volume of activity and intrahospital/30-day mortality. For the following conditions it was possible to conduct the analysis of the association between volume and outcome of treatment using national data: unruptured abdominal aortic aneurysm, coronary angioplasty, knee arthroplasty, coronary artery bypass, cancer surgery (colon, pancreas, lung, prostate, stomach, bladder), laparoscopic cholecystectomy, endarterectomy, hip fracture and acute myocardial infarction. For them, the association between volume and outcome of care has been observed. The shape of the relationship is variable among different conditions, with heterogeneous "slope" of the curves. DISCUSSION For many conditions, the systematic review of the literature has shown a strong evidence of association between higher volumes and better outcomes. Due to the difficulty to test such an association in randomized controlled studies, the studies included in the reviews were mainly observational studies: however, the quality of the available evidence can be considered good both for the consistency of the results between the studies and for the strength of the association. Where national data had sufficient statistical power, this association has been observed by the empirical analysis conducted on the health providers of the NHS in 2011. Analysing national data, potential confounders, including age and the presence of comorbidities in the admission under study and in the admissions of the two previous years, have been considered. The systematic review of the literature does not permit to identify predefined volume thresholds. The analysis of national data shows a strong improvement in outcomes in the first part of the curve (from very low volumes to higher volumes) for the majority of the studied conditions. In some cases the improvement in outcomes remains gradual or constant with the increasing volume of care, in other the analysis could allow the identification of threshold values beyond which the outcome does not improve further. However, a good knowledge of the relationship between effectiveness of treatments and their costs, the geographical distribution and the accessibility to health care services are necessary to choose the minimum volumes of care, under which specific health procedures in the NHS should not be provided. Some potential biases due to the use of information systems data should also be taken into account. In particular, it is necessary to consider possible selection bias due to the different way of coding among hospitals that could lead to a different selection of cases for some conditions (e.g. acute myocardial infarction), less likely to occur in the selection of cases for oncologic, orthopaedic, vascular, abdominal, and cardiac surgery. Regarding the definition of the exposure (volume of care), a possible bias could result from misclassification of health providers with high volume of activity. In fact, performing the intervention in different departments/units of the same hospital would result in an overestimation of the volume of care measured for hospital rather than for department/unit. A similar bias could occur if the main determinant of the outcome of treatment was the case load of each surgeon: the results of the analysis may be biased when the same procedure was carried out by different operators in the same hospital/unit. In any case, the observed association between volumes of care and outcome is very strong, and it is unlikely to be attributable to biases of the study design. However, the foreseen bias is likely to be non-differential, and, therefore, it would eventually lead to an underestimation of the true association between volume of care and outcome. Health systems operate, by definition, in a context of limited resources, especially when societies and governments choose to reduce the amount of resources to allocate to the health system. In such conditions, the rationalisation of the organization of health services based on the volume of care may make resources available to improve the effectiveness of interventions. The identification and certification of services and provider with high volume of activity can help to reduce differences in the access to no effective procedures.

摘要

背景

提高医疗保健的质量和有效性是卫生政策的重点之一。医院或医生的工作量是一个可衡量的变量,对医疗保健的有效性有重大影响。意大利最近的一项法律“支出审查”要求界定“医院护理的质量、结构、技术和数量标准”。为了确定这些标准,包括高于或低于该标准公立和私立医院可能被认可(或不被认可)提供特定医疗保健干预措施的护理量,需要对现有科学证据进行准确评估。自2009年以来,国家成果计划一直在评估意大利医院的护理成果;如今,它是评估国家卫生系统(NHS)的官方工具。除了成果指标外,该计划的最新版本(2013年)还包括一组针对有证据表明工作量与成果之间存在关联的病症的工作量指标。评估可能影响护理成果的因素(如工作量)是其目标之一。

目的

确定已对工作量与成果之间的关联进行调查的临床病症或干预措施。确定已证实工作量与成果之间存在关联的临床病症或干预措施。分析意大利医疗服务提供者按活动量的分布情况。衡量意大利国家卫生系统医疗服务提供者的护理量与成果之间的关联。

方法

系统评价。对截至2012年2月通过检索电子数据库(PubMed、EMBASE、Cochrane图书馆)、卫生技术评估(HTA)机构网站、国家指南交换中心所进行的系统评价和HTA报告进行概述。由两名研究人员独立评估纳入研究;使用AMSTAR清单对纳入评价的质量进行评估。对于每种健康状况和所考虑的每种成果,报告了已发表研究的总数、参与者数量、高工作量临界值(范围、平均值和中位数)(如已呈现)。还报告了具有统计学显著正关联的研究(和参与者)数量以及进行的荟萃分析(如可用)。分析意大利医院按活动量的分布情况以及活动量与成果之间的关联。2011年国家成果计划分析使用医院信息系统和2011年国家税务登记数据进行。对于每种病症,计算按活动量划分的医院数量。对于所研究病症每年活动量低于3 - 5例的医院被排除在分析之外。对于每年病例数超过1500例且成果发生率≥3%的病症,分析护理量与成果之间的关联。对于这些病症,根据国家成果计划的选择标准和统计方法估计风险调整后的成果。

结果

确定的系统评价有107项,其中47项评估了38个临床领域,被纳入。根据所考虑的临床病症/程序评估了许多成果。所有临床病症/程序共有的主要成果是院内/30天死亡率。根据这一成果,健康主题分为以下几类:正关联:在大多数研究/参与者中显示出统计学显著的正关联,和/或报告了汇总测量(荟萃分析)结果为阳性。无关联:在大多数研究/参与者中未显示出关联,和/或未报告荟萃分析结果为阳性。无充分关联证据:单项研究和荟萃分析的结果均无法就工作量与成果之间的关联得出确凿结论。在26个临床领域证明了工作量与院内/30天死亡率之间存在正关联:艾滋病、腹主动脉瘤(破裂和未破裂)、冠状动脉成形术、心肌梗死、膝关节置换术、冠状动脉搭桥术、癌症手术(乳腺癌、肺癌、结肠癌、结肠直肠癌、肾癌、肝癌、胃癌、膀胱癌、食管癌、胰腺癌、前列腺癌);胆囊切除术、脑动脉瘤、颈动脉内膜切除术、髋部骨折、下肢搭桥手术、蛛网膜下腔出血、新生儿重症监护、小儿心脏手术。对于2种临床病症(髋关节置换术和直肠癌手术)未报告关联。由于缺乏证据,对于10个临床领域(阑尾切除术、结肠切除术、主动脉股动脉搭桥术、睾丸癌手术、心导管插入术、创伤、子宫切除术、腹股沟疝、小儿肿瘤学)无法得出确凿结论。仅通过文献综述评估了临床医生工作量与成果之间的关系;迄今为止,由于医院出院图表上缺少临床医生/外科医生的信息,无法分析意大利医疗服务提供者医院的这种关联。文献发现以下病症存在正关联:艾滋病、冠状动脉成形术、未破裂腹主动脉瘤、髋关节置换术、冠状动脉搭桥术、癌症手术(结肠癌、胃癌、膀胱癌、乳腺癌、食管癌)、下肢搭桥手术。对意大利医院按活动量的分布分析涉及系统评价显示活动量与院内/30天死亡率之间存在正关联的26种病症。对于以下病症,可以使用国家数据分析护理量与治疗成果之间的关联:未破裂腹主动脉瘤、冠状动脉成形术、膝关节置换术、冠状动脉搭桥术、癌症手术(结肠癌、胰腺癌、肺癌、前列腺癌、胃癌、膀胱癌)、腹腔镜胆囊切除术、内膜切除术、髋部骨折和急性心肌梗死。对于这些病症,观察到了护理量与护理成果之间的关联。不同病症之间这种关系的形状各不相同,曲线的“斜率”也各不相同。

讨论

对于许多病症,文献的系统评价显示出较高工作量与较好成果之间存在关联的有力证据。由于在随机对照研究中难以检验这种关联,纳入评价的研究主要是观察性研究:然而,鉴于研究结果之间的一致性以及关联的强度,现有证据的质量可以被认为是良好的。在国家数据具有足够统计效力的情况下,2011年对国家卫生系统医疗服务提供者进行的实证分析观察到了这种关联。分析国家数据时,考虑了潜在的混杂因素,包括所研究入院以及前两年入院时的年龄和合并症情况。文献的系统评价无法确定预定义的工作量阈值。国家数据的分析表明,对于大多数所研究的病症,曲线的第一部分(从非常低的工作量到较高的工作量)成果有显著改善。在某些情况下,随着护理量的增加,成果的改善仍然是渐进的或持续的,在其他情况下,分析可以确定成果不再进一步改善的阈值。然而,要选择国家卫生系统不应提供特定健康程序的最低护理量,需要充分了解治疗效果与其成本之间的关系、地理分布以及获得医疗服务的可及性。还应考虑由于使用信息系统数据而产生的一些潜在偏差。特别是,有必要考虑由于医院之间编码方式不同可能导致的选择偏差,这可能导致某些病症(如急性心肌梗死)病例的不同选择,而在肿瘤学、骨科、血管、腹部和心脏手术的病例选择中这种情况不太可能发生。关于暴露(护理量)的定义,活动量高的医疗服务提供者的错误分类可能导致偏差。事实上,在同一医院的不同科室/单位进行干预会导致对医院而非科室/单位测量的护理量的高估。如果治疗成果的主要决定因素是每位外科医生的病例负荷,当同一手术由同一医院/单位的不同操作者进行时,分析结果可能会产生偏差。无论如何,观察到的护理量与成果之间的关联非常强,不太可能归因于研究设计的偏差。然而,预计的偏差可能是非差异性的,因此最终可能导致对护理量与成果之间真实关联的低估。从定义上讲,卫生系统是在资源有限的背景下运作的,特别是当社会和政府选择减少分配给卫生系统的资源量时。在这种情况下,基于护理量对卫生服务组织进行合理化可能会使资源可用于提高干预措施的有效性。识别和认证活动量高的服务和提供者有助于减少获得无效程序方面的差异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验