A cross-sectoral, short-stay hospital model in general medicine (STATAMED): study protocol for a cluster-randomised, stepped-wedge controlled trial.

IF 2 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Trials Pub Date : 2025-09-16 DOI:10.1186/s13063-025-09072-6
Johannes Jahn, Eva-Maria Wild
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引用次数: 0

Abstract

Background: Ageing populations and the increasing prevalence of chronic diseases pose major challenges to health care systems in high-income countries, especially in rural areas affected by a decline in public services. This trial investigates a new short-stay hospital model, STATAMED, which adopts a general medical approach to addressing the needs of adult patients (18 years or older) with chronic diseases and/or acute infections, with a particular focus on the elderly. STATAMED short-stay wards will incorporate a mandatory case review between the referring physician and the lead STATAMED physician, as well as support from case managers and mobile nurses to ensure coordination and continuity of care after hospital discharge. The primary aim of the trial is to determine whether the care provided in STATAMED wards is more effective than usual hospital care in improving the combined primary outcome of hospital length of stay and 30-day hospital readmission rates.

Methods: The study will be conducted as a prospective, cluster-randomised controlled trial using a stepped-wedge design. STATAMED wards will be implemented at six hospital sites, and the catchment areas will be divided into clusters. All referring entities in a catchment area-including general practitioners (GPs), office-based specialists, nursing homes, ambulatory care services, and emergency services-will be potential candidates for cluster formation. The intervention group is expected to consist of 4481 patients. Primary and secondary outcomes will be assessed using claims data from participating statutory health insurers. A health economic evaluation will also be conducted using these data to compare costs associated with STATAMED and usual care. To minimise the risk of bias, analyses will be conducted on both an intention-to-treat and actual treatment basis.

Discussion: This trial will assess whether STATAMED improves health care utilisation outcomes that reflect the efficiency and quality of inpatient care and discharge planning compared to usual hospital care. The findings will provide novel evidence about how best to improve health care for patients with chronic diseases and/or acute infections and may offer evidence for cost-effective strategies to improve health care delivery.

Trial registration: German Clinical Trials Register DRKS00033096. Registered on 27 November 2023, last updated on 26 May 2025.

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全科医学跨部门短期住院医院模型(STATAMED):一项聚类随机、楔形步进对照试验的研究方案
背景:人口老龄化和慢性病流行率上升对高收入国家的卫生保健系统构成重大挑战,特别是在受公共服务下降影响的农村地区。本试验研究了一种新的短期住院模式STATAMED,该模式采用一般医疗方法来解决患有慢性疾病和/或急性感染的成年患者(18岁或以上)的需求,特别关注老年人。STATAMED短期住院病房将包括转诊医生和牵头STATAMED医生之间的强制性病例审查,以及病例管理人员和流动护士的支持,以确保出院后护理的协调和连续性。该试验的主要目的是确定STATAMED病房提供的护理在改善住院时间和30天再入院率的综合主要结局方面是否比普通医院护理更有效。方法:该研究将采用阶梯楔形设计进行前瞻性、集群随机对照试验。将在六个医院地点实施STATAMED病房,并将集水区划分为集群。集水区的所有转诊机构——包括全科医生(gp)、办公室专家、养老院、门诊护理服务和急诊服务——都将成为集群形成的潜在候选者。干预组预计由4481名患者组成。将利用参与的法定健康保险公司的索赔数据评估主要和次要结果。还将利用这些数据进行卫生经济评估,以比较与STATAMED和常规护理相关的费用。为了尽量减少偏倚风险,将在意向治疗和实际治疗的基础上进行分析。讨论:本试验将评估STATAMED与常规医院护理相比,是否能改善反映住院护理和出院计划效率和质量的医疗保健利用结果。这些发现将为如何最好地改善慢性病和/或急性感染患者的卫生保健提供新的证据,并可能为改善卫生保健服务的成本效益战略提供证据。试验注册:德国临床试验注册DRKS00033096。注册于2023年11月27日,最后更新于2025年5月26日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Trials
Trials 医学-医学:研究与实验
CiteScore
3.80
自引率
4.00%
发文量
966
审稿时长
6 months
期刊介绍: Trials is an open access, peer-reviewed, online journal that will encompass all aspects of the performance and findings of randomized controlled trials. Trials will experiment with, and then refine, innovative approaches to improving communication about trials. We are keen to move beyond publishing traditional trial results articles (although these will be included). We believe this represents an exciting opportunity to advance the science and reporting of trials. Prior to 2006, Trials was published as Current Controlled Trials in Cardiovascular Medicine (CCTCVM). All published CCTCVM articles are available via the Trials website and citations to CCTCVM article URLs will continue to be supported.
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