Shepperd Sasha, Doll Helen, Angus Robert M, Clarke Mike J, Iliffe Steve, Kalra Lalit, Ricauda Nicoletta Aimonino, Wilson Andrew D
Department of Public Health, University of Oxford, Rosemary Rue Building, Headington, Oxford, Oxfordshire, UK, OX3 7LF.
Cochrane Database Syst Rev. 2008 Oct 8(4):CD007491. doi: 10.1002/14651858.CD007491.
Admission avoidance hospital at home is a service that provides active treatment by health care professionals in the patient's home for a condition that otherwise would require acute hospital in-patient care, and always for a limited time period. In particular, hospital at home has to offer a specific service to patients in their home requiring health care professionals to take an active part in the patients' care. If hospital at home were not available then the patient would be admitted to an acute hospital ward. Many countries are adopting this type of care in an attempt to reduce the demand for acute hospital admission.
To determine, in the context of a systematic review and meta analysis, the effectiveness and cost of managing patients with admission avoidance hospital at home compared with in-patient hospital care.
The following databases were searched through to January 2008: MEDLINE, EMBASE, CINAHL, EconLit and the Cochrane Effective Practice and Organisation of Care Group (EPOC) register. We checked the reference lists of articles identified electronically for evaluations of hospital at home and obtained potentially relevant articles. Unpublished studies were sought by contacting providers and researchers who were known to be involved in this field.
Randomised controlled trials recruiting patients aged 18 years and over. Studies comparing admission avoidance hospital at home with acute hospital in-patient care. The admission avoidance hospital at home interventions may admit patients directly from the community thereby avoiding physical contact with the hospital, or may admit from the emergency room.
Two authors independently extracted data and assessed study quality. Our statistical analyses sought to include all randomised patients and were done on an intention to treat basis. We requested individual patient data (IPD) from trialists, and relied on published data when we did not receive trial data sets or the IPD did not include the relevant outcomes. When combining outcome data was not possible because of differences in the reporting of outcomes we have presented the data in narrative summary tables.For the IPD meta-analysis, where at least one event was reported in both study groups in a trial, Cox regression models were used to calculate the log hazard ratio and its standard error for mortality and readmission separately for each data set (where both outcomes were available). We included randomisation group (admission avoidance hospital at home versus control), age (above or below the median), and gender in the models. The calculated log hazard ratios were combined using fixed effects inverse variance meta analysis. If there were no events in one group we used the Peto odds ratio method to calculate a log odds ratio from the sum of the log-rank test 'O-E' statistics from a Kaplan Meier survival analysis. Statistical significance throughout was taken at the two-sided 5% level (p<0.05) and data are presented as the estimated effect with 95% confidence intervals. For each comparison using published data for dichotomous outcomes we calculated risk ratios using a fixed effects model to combine data.
We included 10 RCTs (n=1333), 7 of which were eligible for the IPD. Five out of these seven trials contributed to the IPD meta-analysis (n=850/975; 87%). There was a non significant reduction in mortality at three months for the admission avoidance hospital at home group (adjusted HR 0.77, 95% CI 0.54 to 1.09; p=0.15), which reached significance at six months follow-up (adjusted HR 0.62, 95% CI 0.45 to 0.87; p=0.005). A non significant increase in admissions was observed for patients allocated to hospital at home (adjusted HR 1.49, 95% CI 0.96 to 2.33; p=0.08). Few differences were reported for functional ability, quality of life or cognitive ability. Patients reported increased satisfaction with admission avoidance hospital at home. Two trials conducted a full economic analysis, when the costs of informal care were excluded admission avoidance hospital at home was less expensive than admission to an acute hospital ward.
AUTHORS' CONCLUSIONS: We performed meta-analyses where there was sufficient similarity among the trials and where common outcomes had been measured. There is no evidence from the analysis to suggest that admission avoidance hospital at home leads to outcomes that differ from inpatient hospital care.
居家免住院医院服务是一种由医护人员在患者家中为原本需要急性医院住院治疗的疾病提供积极治疗的服务,且服务时间总是有限的。特别是,居家医院必须为在家中需要医护人员积极参与护理的患者提供特定服务。如果没有居家医院服务,那么患者将被收治到急性医院病房。许多国家正在采用这种护理方式,试图减少急性医院住院需求。
在系统评价和荟萃分析的背景下,确定与住院医院护理相比,居家免住院医院管理患者的有效性和成本。
检索了以下数据库至2008年1月:MEDLINE、EMBASE、CINAHL、EconLit和Cochrane有效实践与护理组织小组(EPOC)登记册。我们检查了通过电子方式识别的文章的参考文献列表,以获取对居家医院的评估,并获得了可能相关的文章。通过联系已知参与该领域的提供者和研究人员来寻找未发表的研究。
招募18岁及以上患者的随机对照试验。比较居家免住院医院与急性医院住院护理的研究。居家免住院医院干预措施可能直接从社区收治患者,从而避免与医院的实际接触,也可能从急诊室收治。
两位作者独立提取数据并评估研究质量。我们的统计分析旨在纳入所有随机分组的患者,并基于意向性分析进行。我们向试验者索取个体患者数据(IPD),当未收到试验数据集或IPD不包括相关结局时,我们依赖已发表的数据。当由于结局报告方式的差异无法合并结局数据时,我们在叙述性汇总表中呈现数据。对于IPD荟萃分析,在一项试验的两个研究组中至少报告了一个事件的情况下,使用Cox回归模型分别为每个数据集(两个结局均可用时)计算死亡率和再入院的对数风险比及其标准误。我们在模型中纳入随机分组(居家免住院医院与对照组)、年龄(中位数以上或以下)和性别。使用固定效应逆方差荟萃分析合并计算出的对数风险比。如果一组中没有事件发生,我们使用Peto比值比方法从Kaplan-Meier生存分析的对数秩检验“O-E”统计量之和计算对数比值比。整个过程的统计学显著性采用双侧5%水平(p<0.05),数据以估计效应及其95%置信区间呈现。对于使用已发表数据进行二分结局比较的情况,我们使用固定效应模型计算风险比以合并数据。
我们纳入了10项随机对照试验(n = 1333),其中7项符合IPD分析条件。这7项试验中的5项为IPD荟萃分析做出了贡献(n = 850/975;87%)。居家免住院医院组在3个月时死亡率有非显著性降低(调整后风险比0.77,95%置信区间0.54至1.09;p = 0.15),在6个月随访时达到显著性(调整后风险比0.62,95%置信区间0.45至0.87;p = 0.005)。分配到居家医院的患者入院次数有非显著性增加(调整后风险比1.49,95%置信区间0.96至2.33;p = 0.08)。关于功能能力、生活质量或认知能力的差异报告较少。患者报告对居家免住院医院的满意度增加。两项试验进行了全面的经济分析,当排除非正式护理成本时,居家免住院医院比急性医院病房更便宜。
我们在试验之间有足够相似性且测量了共同结局的情况下进行了荟萃分析。分析中没有证据表明居家免住院医院导致的结局与住院医院护理不同。