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Co-designing a new approach to delivering integrated services to chronically ill patients within existing funding constraints – Victoria’s HealthLinks trial

机译:共同设计一种新方法,以在现有资金限制内为慢性病患者提供综合服务–维多利亚州的HealthLinks试验

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Background : In the context of increasing demand and constrained funding, delivering holistic, effective and efficient models of care that reduce reliance on hospitals without increasing service costs is a priority. HealthLinks: Chronic Care uses funding to encourage innovative patient centric approaches to chronic disease management. Activity based funding is substituted for a capitation payment, determined using an analytical model which predicts the number of patients that will present to hospital with a range of risk factors, and the average service consumption for this cohort over 12 months. Payments can be used flexibly to deliver a mix of services in different settings to meet patient needs. Four health services are participating in the trial and a range of interventions are being trialled. A co-design approach has been adopted to inform the initiative. Health services have engaged patients in the design of the interventions, and are working collaboratively to share learnings about the impact and challenges of different intervention models. Aims and Objectives : Stimulate a discussion on funding and policy approaches to stimulate alternative models of care for people with chronic and complex health conditions. Share implementation early results and learnings. Discuss data science techniques to identify and stratify patients with multiple complexities. Format : Denise Ferrier, Director, Policy and Planning: ‘Engaging central government and health sector co-design’ (10min) Chris Hamilton, Manager, Health Modelling & Forecasting: ‘Developing a prediction model’ (10min) Donald Campbell. Service Director, Community Medicine and HealthLinks: ‘A health service response’ (10min) Audience discussion (30min) Target audience : Policy makers. Health care practitioners. Learnings/Take away : Well-designed funding levers combined with community based chronic disease management can deliver cost effective, integrated services that improve patient outcomes. Adopting a co-design methodology is challenging but can improve program and policy effectiveness. A capitation funding model can incentivise health services to develop a more sophisticated understanding of patient characteristics and risk profiles and stream patients into cost-effective, appropriate levels of care. Identifying patients at qualification rather than the start of a financial year enrols more patients, at a more meaningful time in their healthcare. Hospital readmissions are driven by a broad range of factors. Prior utilisation is the strongest predictor of future utilisation, but social factors and anxiety can exacerbate other issues and lead to hospital admissions. These are rarely coded. Patient centeredness is contextual. Interventions will benefit from strong patient engagement in the design process. High-users of hospital services cluster into four dominant patient personas: frail older patients; patients experiencing a significant acute event; patients with anxiety; and patients with a combination of mental health and substance issues. Providing earlier support and preventive services to patients who are deteriorating can reduce the risk of readmission of these patient groups. Social and behavioural supports develop patient resilience moving from coping to thriving skills. Interventions are demonstrating early success in reductions in readmissions and shorter lengths of stay in hospital. Patient experience is improved through the provision of more preventative and integrated services and supports to navigate a complex health system.
机译:背景:在需求增加和资金紧张的情况下,提供整体,有效和高效的护理模式以减少对医院的依赖而不增加服务成本是当务之急。 HealthLinks:长期护理使用资金来鼓励以患者为中心的创新方法来进行慢性病管理。基于活动的资金可代替人头费,人头费是使用分析模型确定的,该模型预测会因各种风险因素而就诊的医院人数以及该人群在12个月内的平均服务消耗。可以灵活使用付款方式,在不同的环境中提供多种服务,以满足患者的需求。四个健康服务机构正在参与该试验,并且正在尝试一系列干预措施。已采用一种共同设计的方法来为该计划提供信息。卫生服务部门已使患者参与了干预措施的设计,并正在共同努力,以交流有关不同干预模式的影响和挑战的经验。目的和目标:刺激有关资金和政策方法的讨论,以刺激对慢性和复杂健康状况患者的替代治疗模式。分享实施的早期结果和经验教训。讨论数据科学技术,以识别和分层具有多种复杂性的患者。格式:丹尼斯·费里尔(Denise Ferrier),政策和计划总监:“与中央政府和卫生部门合作进行设计”(10分钟);健康建模与预测经理克里斯·汉密尔顿:“开发预测模型”(10分钟)唐纳德·坎贝尔。社区医学和HealthLinks服务总监:“健康服务响应”(10分钟)受众讨论(30分钟)目标受众:政策制定者。卫生保健从业人员。学习/收获:精心设计的融资杠杆与基于社区的慢性病管理相结合,可以提供具有成本效益的综合服务,从而改善患者的预后。采用协同设计方法论具有挑战性,但可以提高计划和政策的有效性。人头拨款模式可以激励卫生服务人员对患者的特征和风险状况有更深入的了解,并为患者提供具有成本效益的,适当的护理水平。在资格上而不是在财政年度开始时识别患者会招募更多患者,而这是他们在医疗保健中更有意义的时间。住院再入院率受多种因素驱动。先前的使用率是未来使用率的最强预测指标,但是社会因素和焦虑会加剧其他问题并导致住院。这些很少被编码。以病人为中心是上下文。干预将受益于患者在设计过程中的大力参与。医院服务的高级用户分为四个主要的患者角色:虚弱的老年患者;发生严重急性事件的患者;焦虑症患者以及精神健康和物质问题相结合的患者。为病情恶化的患者提供更早的支持和预防服务可减少这些患者群体再次入院的风险。社会和行为支持可增强患者的适应能力,使其从应对能力发展为蓬勃发展的技能。干预表明在减少再次住院和缩短住院时间方面取得了早期成功。通过提供更多的预防性和综合性服务以及支持导航复杂卫生系统的方法,可以改善患者体验。

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