a Rua Almerindo Lessa , ISCSP-Universidade de Lisboa , Lisboa , Portugal.
b CEDH, FEP, Rua Diogo Botelho , Universidade Católica Portuguesa , Porto , Portugal.
J Aging Soc Policy. 2018 Oct-Dec;30(5):458-477. doi: 10.1080/08959420.2018.1442112. Epub 2018 Mar 20.
The aging population has an impact on health, social, and economic issues in regard to individuals, communities, and organizations. The challenge for local policies in response to aging is to create sufficient resources to meet the population's needs, wishes, and rights as people age. Active aging constitutes one of the guiding perspectives on policies. Taking into account the local governance perspective, the Model for Aging Local Policies Analysis (MALPA) was created in order to convert the active aging paradigm into a practical approach, as a technique to evaluate and analyze local aging policies. In this research, the MALPA instrument was applied in two Portuguese communities (Coruche and Oeiras). The objective was to identify the intervention priorities of aging policies in both communities, determining whether the instrument can facilitate the development of proposals for the improvement of local aging policies. It was possible to evaluate the communities and programs, identifying the least appropriate policy actions regarding the intervention priorities. The results allowed us to identify 10 priorities about collaborative governance, involvement of the elderly in the policy-making process, lifelong learning, economic hardship, policies for all ages, isolated vulnerable and fragile groups, intergenerational contacts, safety in all policies, labor opportunities, and conditions and transport network improvement.
人口老龄化对个人、社区和组织的健康、社会和经济问题都有影响。应对老龄化的地方政策面临的挑战是创造足够的资源来满足人口老龄化的需求、愿望和权利。积极老龄化是政策的指导观点之一。考虑到地方治理的视角,创建了老龄化地方政策分析模型(MALPA),以便将积极老龄化范式转化为一种实用方法,作为评估和分析地方老龄化政策的技术。在这项研究中,MALPA 工具在两个葡萄牙社区(科鲁什和奥埃拉斯)进行了应用。目的是确定两个社区老龄化政策的干预重点,确定该工具是否有助于提出改善地方老龄化政策的建议。该研究能够评估社区和项目,并确定在干预重点方面最不合适的政策行动。结果使我们能够确定 10 项关于协作治理、老年人参与决策过程、终身学习、经济困难、全年龄段政策、孤立脆弱群体、代际接触、所有政策中的安全、劳动机会以及改善条件和交通网络的优先事项。