Department of Quantitative Methods, Universidad Loyola Andalucia, Seville, Spain.
Health Research Institute, University of Canberra, Canberra, ACT, Australia.
BMC Public Health. 2024 Sep 30;24(1):2671. doi: 10.1186/s12889-024-20169-6.
Andalusia is the second largest region in Spain, and it has developed a comprehensive mental health (MH) plan that encourages the consolidation of the balanced care model. However, its geographical and socioeconomic disparity is a great challenge for a community-based MH system. Both the assessment of the implementation of the MH plan and the development of new tools to support decision-making can be considered critical.
The present study aims (i) to assess how the integration of different types of MH care may influence system performance and (ii) to check the performance evolution of the integration process geographically regarding the small MH areas of Andalusia.
The performance of the Andalusian MH system was assessed by combining Monte Carlo simulation, fuzzy inference and data envelopment analysis. The relative technical efficiency was the main performance indicator.
A correct integration of appropriate types of MH care, according to population needs, increases the performance of the Andalusian MH system both from global and regional perspectives. The spatial representation (based on small MH areas) of the results highlights how the performance depends on specific geographical characteristics. By analyzing the identified spatial clusters, defined by different management patterns depending on user and socioeconomic characteristics, benchmark areas and areas for improvement can be studied to design evidence-informed policies and interventions.
A global analysis of MH system performance was carried out, including both the successive integration of different types of care and its spatial evolution. Although an appropriate integration of different types of MH care has a positive effect on the Andalusian MH system, this process has different profiles depending on specific geographically based user and socioeconomic characteristics. The balanced care model can be considered the paradigm for assessing the performance of a large and populated territory such as Andalusia, which has a community-based MH system. This methodological approach (performance assessment and spatial analysis) may be used as a guide for developing future evidence-informed policies and managerial interventions.
安达卢西亚是西班牙第二大地区,它制定了一项全面的精神健康(MH)计划,鼓励巩固平衡护理模式。然而,其地理和社会经济差异对基于社区的 MH 系统来说是一个巨大的挑战。评估 MH 计划的实施情况以及开发新工具以支持决策都可以被认为是至关重要的。
本研究旨在(i)评估不同类型的 MH 护理的整合如何影响系统性能,以及(ii)检查安达卢西亚小型 MH 地区的地理上的整合过程的绩效演变。
通过蒙特卡罗模拟、模糊推理和数据包络分析相结合来评估安达卢西亚 MH 系统的性能。相对技术效率是主要的绩效指标。
根据人口需求,正确整合适当类型的 MH 护理可以提高安达卢西亚 MH 系统的性能,无论是从全球还是区域角度来看。结果的空间表示(基于小型 MH 地区)突出了性能如何取决于特定的地理特征。通过分析所确定的空间聚类,可以研究具有不同管理模式的基准区域和改进区域,以设计基于证据的政策和干预措施。
对 MH 系统性能进行了全球分析,包括不同类型的护理的连续整合及其空间演变。尽管适当整合不同类型的 MH 护理对安达卢西亚的 MH 系统有积极影响,但这一过程因特定的基于地理的用户和社会经济特征而异。平衡护理模式可以被视为评估像安达卢西亚这样拥有基于社区的 MH 系统的大型和人口众多的地区的性能的范例。这种方法(绩效评估和空间分析)可用于指导未来基于证据的政策和管理干预措施的制定。