Data for results provided in IPACS_visits_based_model paper

Data used for generating plots and results in IPACS paper: Planning integrated care services using simulation modelling for visits-based home care with time varying resource requirementsAlison Harper , David Worthington , Zehra Önen-Dumlu, Paul Forte , Christos Vasilakis , Martin Pitt , Richard Wood Abstract: Delays to hospital discharge impact the wider healthcare system and are a contributory factor to emergency department overcrowding, ambulance offload and response delays experienced both in the UK and globally. Health and care services comprising of care provided in community facilities and at home support timely discharge from hospital for patients with complex care needs. It attempts to avoid costly discharge delays and consequent risks to patient physical and mental health. Home care is provided by visiting care staff in patients’ homes, with time-varying visit requirements, typically reducing over time. This paper reports the development of a novel discrete-time stochastic simulation model in a large health and social care system in England, which models patients using a time-varying resource draw, rather than a fixed capacitated resource. Our results are compared to steady-state and time-dependent analytical approximations to identify areas of the parameter space in our case study where the analytical models perform sufficiently well, and to enable an empirical case for the use of time-varying resources to model visits-based home care. The flexibility of our simulation model and our purposeful engagement with stakeholders have enabled the resulting tool to be in routine use for home care resource planning. It is available open source for take-up by researchers or analysts involved in home care demand and capacity planning.用于生成IPACS论文中图表与研究结果的数据集： 面向资源需求随时间动态变化的到访式居家护理（visits-based home care），采用仿真建模开展整合照护服务规划 Alison Harper, David Worthington, Zehra Önen-Dumlu, Paul Forte, Christos Vasilakis, Martin Pitt, Richard Wood 摘要：住院患者出院（hospital discharge）延迟会对整体医疗系统造成负面影响，同时也是英国乃至全球范围内急诊室过度拥挤、救护车滞留及响应延迟的重要诱因。由社区机构与居家照护组成的整合型医疗照护服务，可为存在复杂照护需求的患者提供及时出院支持，规避高昂的出院延迟成本，以及由此给患者身心健康带来的潜在风险。到访式居家护理由护理人员前往患者家中提供服务，其护理需求随时间动态变化，通常呈逐步下降趋势。本文针对英格兰大型医疗与社会照护系统，开发了一款新型离散时间随机仿真模型（discrete-time stochastic simulation model）：该模型采用随时间动态变化的资源占用（time-varying resource draw）模式对患者进行建模，而非采用固定容量资源（fixed capacitated resource）模式。本研究将仿真结果与稳态解析近似模型、时变解析近似模型进行对比，旨在明确本次案例研究中解析模型表现足够优异的参数空间范围，并为采用随时间动态变化的资源模式建模到访式居家护理提供实证依据。得益于本仿真模型的灵活性，以及与利益相关方的针对性协作，该工具已被常规应用于居家护理资源规划工作中。该工具已开源，可供从事居家护理需求与容量规划的研究人员或分析人员采用。