General practitioners working in or alongside the emergency department: the GPED mixed-methods study

J. Benger, H. Brant, A. Scantlebury, Helen Anderson, H. Baxter, K. Bloor, J. Brandling, S. Cowlishaw, T. Doran, James Gaughan, Andrew Gibson, N. Gutacker, H. Leggett, Dan Liu, Katherine Morton, S. Purdy, C. Salisbury, A. Vaittinen, S. Voss, R. Watson, J. Adamson
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Work package A classified current models of general practitioners working in or alongside the emergency department in England. We interviewed national and local leaders, staff and patients to identify the hypotheses underpinning these services. Work package B used a retrospective analysis of routinely available data. Outcome measures included waiting times, admission rates, reattendances, mortality and the number of patient attendances. We explored potential cost savings. Work package C was a detailed mixed-methods case study in 10 sites. We collected and synthesised qualitative and quantitative data from non-participant observations, interviews and a workforce survey. Patients and the public were involved throughout the development, delivery and dissemination of the study.\n \n \n \n High-level goals were shared between national policy-makers and local leads; however, there was disagreement about the anticipated effects. 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引用次数: 3

Abstract

Emergency care is facing a steadily rising demand. In response, hospitals have implemented new models of care that locate general practitioners in or alongside the emergency department. We aimed to explore the effects of general practitioners working in or alongside the emergency department on patient care, the primary care and acute hospital team, and the wider system, as well as to determine the differential effects of different service models. This was a mixed-methods study in three work packages. Work package A classified current models of general practitioners working in or alongside the emergency department in England. We interviewed national and local leaders, staff and patients to identify the hypotheses underpinning these services. Work package B used a retrospective analysis of routinely available data. Outcome measures included waiting times, admission rates, reattendances, mortality and the number of patient attendances. We explored potential cost savings. Work package C was a detailed mixed-methods case study in 10 sites. We collected and synthesised qualitative and quantitative data from non-participant observations, interviews and a workforce survey. Patients and the public were involved throughout the development, delivery and dissemination of the study. High-level goals were shared between national policy-makers and local leads; however, there was disagreement about the anticipated effects. We identified eight domains of influence: performance against the 4-hour target, use of investigations, hospital admissions, patient outcome and experience, service access, workforce recruitment and retention, workforce behaviour and experience, and resource use. General practitioners working in or alongside the emergency department were associated with a very slight reduction in the rate of reattendance within 7 days; however, the clinical significance of this was judged to be negligible. For all other indicators, there was no effect on performance or outcomes. However, there was a substantial degree of heterogeneity in these findings. This is explained by the considerable variation observed in our case study sites, and the sensitivity of service implementation to local factors. The effects on the workforce were complex; they were often positive for emergency department doctors and general practitioners, but less so for nursing staff. The patient-streaming process generated stress and conflict for emergency department nurses and general practitioners. Patients and carers were understanding of general practitioners working in or alongside the emergency department. We found no evidence that staff concerns regarding the potential to create additional demand were justified. Any possible cost savings associated with reduced reattendances were heavily outweighed by the cost of the service. The reliability of our data sources varied and we were unable to complete our quantitative analysis entirely as planned. Participation in interviews and at case study sites was voluntary. Service implementation was highly subject to local context and micro-level influences. Key success factors were interprofessional working, staffing and training, streaming, and infrastructure and support. Further research should study the longer-term effects of these services, clinician attitudes to risk and the implementation of streaming. Additional work should also examine the system effects of national policy initiatives, develop methodologies to support rapid service evaluation and study the relationship between primary and secondary care. This trial is registered as ISRCTN51780222. This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme and will be published in full in Health and Social Care Delivery Research; Vol. 10, No. 30. See the NIHR Journals Library website for further project information.
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在急诊科或与急诊科一起工作的全科医生:GPED混合方法研究
紧急护理正面临着稳步增长的需求。作为回应,医院实施了新的护理模式,将全科医生安置在急诊科或急诊科旁边。我们旨在探索在急诊科或与急诊科一起工作的全科医生对患者护理、初级保健和急性医院团队以及更广泛的系统的影响,并确定不同服务模式的差异影响。这是一项包含三个工作包的混合方法研究。工作包在英格兰急诊科或与急诊科一起工作的全科医生的分类模式。我们采访了国家和地方领导人、工作人员和患者,以确定支持这些服务的假设。工作包B使用了对常规可用数据的回顾性分析。结果指标包括等待时间、入院率、再治疗率、死亡率和患者就诊次数。我们探索了潜在的成本节约。工作包C是在10个地点进行的详细的混合方法案例研究。我们从非参与者的观察、访谈和劳动力调查中收集并综合了定性和定量数据。患者和公众参与了该研究的整个开发、实施和传播过程。国家决策者和地方领导人共享高级别目标;然而,对于预期的效果存在分歧。我们确定了八个影响领域:针对4小时目标的表现、调查的使用、入院、患者结果和经验、服务获取、劳动力招聘和保留、劳动力行为和经验以及资源使用。在急诊科或与急诊科一起工作的全科医生在7天内的再治疗率略有下降;然而,其临床意义被认为是微不足道的。就所有其他指标而言,对业绩或结果没有影响。然而,这些发现存在很大程度的异质性。这可以通过在我们的案例研究站点中观察到的相当大的变化以及服务实施对本地因素的敏感性来解释。对劳动力的影响是复杂的;急诊科医生和全科医生的检测结果通常是阳性的,但护理人员的检测结果则不那么阳性。病人分流过程给急诊科护士和全科医生带来了压力和冲突。患者和护理人员了解在急诊科或与急诊科一起工作的全科医生。我们没有发现任何证据表明员工对创造额外需求潜力的担忧是合理的。服务成本大大超过了与减少再治疗相关的任何可能的成本节约。我们的数据来源的可靠性各不相同,我们无法完全按计划完成定量分析。参与访谈和案例研究是自愿的。服务的实施在很大程度上受到当地环境和微观层面的影响。关键的成功因素是跨专业工作、人员配置和培训、流媒体以及基础设施和支持。进一步的研究应该研究这些服务的长期影响、临床医生对风险的态度以及流媒体的实施。额外的工作还应审查国家政策举措的系统影响,制定支持快速服务评估的方法,并研究初级和次级护理之间的关系。该试验注册为ISRCTN51780222。该项目由国家卫生与护理研究所(NIHR)卫生与社会护理提供研究计划资助,并将在《卫生与社会保健提供研究》上全文发表;第10卷,第30期。有关更多项目信息,请访问NIHR期刊图书馆网站。
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