Challenges of implementing a social prescription service in the clinic: Social prescribing in the LAMP project

C. Soraghan, Gerard Boyle, Luis Dominguez-Villoria, Jennifer Feighan, David Robinson
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引用次数: 6

Abstract

The Local Asset Mapping Project (LAMP) aims to develop new models of tertiary healthcare delivery by integrating patient care into a hospital's surrounding community. Current models are unsustainable, in particular due to the ageing demographic shift. To date, LAMP has created a database of almost 3,400 `assets' from part (22km2) of the ambulance catchment of the largest acute hospital in Ireland - an area representing ~120,000 citizens. A clinical software GUI called `Community Health Compass' is presented in this paper which uses this database and could potentially produce `social prescriptions' to patients coming to the hospital. This prescription would direct them to the assets and services in their community, near their postal address, and tailored to their condition and preferences, which could help to improve their health and wellbeing. However, there are a number of social implications and challenges associated with technology-mediated social prescribing, which will need to be considered to ensure the success and uptake of the intervention, while preserving personal choice and ensuring social responsibility. Data sharing, governance, accountability for patients, and community sector capacity are some of the main challenges for implementation of the LAMP model. These challenges and potential approaches to meeting them are presented. Forecasting these challenges is an attempt to proactively explore the issues, so as to develop a future technology-mediated social prescription delivery model that integrates with, and provides for, society's needs while reducing potential negative affects.
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在诊所实施社会处方服务的挑战:LAMP项目中的社会处方
地方资产测绘项目(LAMP)旨在通过将患者护理整合到医院周边社区,开发三级医疗保健服务的新模式。目前的模式是不可持续的,特别是考虑到人口老龄化的变化。迄今为止,LAMP已经从爱尔兰最大的急诊医院的救护车集水区(22平方公里)中创建了一个包含近3,400项“资产”的数据库,该地区约有120,000名公民。本文提出了一种名为“社区健康指南针”的临床软件GUI,该软件使用该数据库,可以为来医院的患者提供“社会处方”。这一处方将引导他们找到社区内靠近其邮政地址的资产和服务,并根据他们的情况和偏好量身定制,这有助于改善他们的健康和福祉。然而,与技术介导的社会处方相关的一些社会影响和挑战需要加以考虑,以确保干预措施的成功和采用,同时保留个人选择和确保社会责任。数据共享、治理、患者问责制和社区部门能力是实施LAMP模式面临的一些主要挑战。提出了这些挑战和应对这些挑战的潜在方法。预测这些挑战是一种主动探索问题的尝试,从而开发一种未来技术介导的社会处方交付模式,在减少潜在负面影响的同时,融入并提供社会需求。
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