Abstract

ABSTRACTThe 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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.