Suppr超能文献

系统方法促进人口健康改善。

A systems approach to scale-up for population health improvement.

机构信息

School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.

Department of Social and Policy Sciences, University of Bath, Claverton Down, Bath, United Kingdom.

出版信息

Health Res Policy Syst. 2021 Mar 1;19(1):27. doi: 10.1186/s12961-021-00679-0.

Abstract

Despite a number of important global public health successes, for many health behaviours there is a continued lack of interventions that have been sufficiently scaled up to achieve system-wide integration. This has limited sustainable and equitable population health improvement. Systems change plays a major role in the relation between implementation processes and at-scale institutionalisation of public health interventions. However, in research, systems approaches remain underutilised in scaling up. Public health scale-up models have typically centred on intervention replication through linear expansion. In this paper, we discuss current conceptualisations and approaches used when scaling up in public health, and propose a new perspective on scaling that shifts attention away from the intervention to focus instead on achieving the desired population-level health outcomes. In our view, 'scaling up' exists on a continuum. At one end, effective scaling can involve a linear, intervention-orientated expansive approach that prioritises the spread of evidence-based interventions into existing systems in order to drive expansion in the application of that intervention. At the other end, we contend that scale-up can sit within a complex systems paradigm in which interventions are conceptualised as events in systems. In this case, implementation and scale-up activities should focus on generating changes within the system itself to achieve the desired outcome. This we refer to as 'systems-orientated scale-up' to achieving population health improvement, which can complement traditional approaches in relevant situations. We argue that for some health behaviours, our proposed approach towards scaling up could enhance intervention implementation, sustainability and population health impact.

摘要

尽管在全球公共卫生方面取得了许多重要成就,但对于许多健康行为,仍然缺乏足够规模的干预措施,无法实现全面系统整合。这限制了可持续和公平的人口健康改善。系统变革在实施过程与公共卫生干预措施的大规模制度化之间的关系中起着重要作用。然而,在研究中,系统方法在扩大规模方面的应用仍然不足。公共卫生扩大规模模型通常侧重于通过线性扩展来复制干预措施。在本文中,我们讨论了当前在公共卫生扩大规模中使用的概念和方法,并提出了一种新的观点,即从关注干预措施转移到关注实现预期的人群健康结果,从而关注扩大规模。在我们看来,“扩大规模”是一个连续的过程。在一端,有效的扩大规模可能涉及一种线性的、以干预为导向的扩展方法,该方法优先将基于证据的干预措施推广到现有系统中,以推动该干预措施的应用扩展。在另一端,我们认为扩大规模可以在复杂系统范式中进行,其中干预措施被视为系统中的事件。在这种情况下,实施和扩大规模的活动应侧重于在系统本身内产生变化,以实现预期的结果。我们称之为“以系统为导向的扩大规模”,以实现人口健康改善,这可以在相关情况下补充传统方法。我们认为,对于某些健康行为,我们提出的扩大规模方法可以增强干预措施的实施、可持续性和对人口健康的影响。

相似文献

1
A systems approach to scale-up for population health improvement.系统方法促进人口健康改善。
Health Res Policy Syst. 2021 Mar 1;19(1):27. doi: 10.1186/s12961-021-00679-0.
4
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
7
Pathways for scaling up public health interventions.扩大公共卫生干预措施的途径。
BMC Public Health. 2017 Aug 1;18(1):68. doi: 10.1186/s12889-017-4572-5.

引用本文的文献

本文引用的文献

2
A systems approach to preventing and responding to COVID-19.一种预防和应对新冠病毒病的系统方法。
EClinicalMedicine. 2020 Mar 28;21:100325. doi: 10.1016/j.eclinm.2020.100325. eCollection 2020 Apr.
6
Pathways for scaling up public health interventions.扩大公共卫生干预措施的途径。
BMC Public Health. 2017 Aug 1;18(1):68. doi: 10.1186/s12889-017-4572-5.
7
The need for a complex systems model of evidence for public health.公共卫生证据的复杂系统模型的必要性。
Lancet. 2017 Dec 9;390(10112):2602-2604. doi: 10.1016/S0140-6736(17)31267-9. Epub 2017 Jun 13.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验