The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach. (September 2020)

• Record Type: Journal Article
• Authors: Falavigna, G.; Ippoliti, R.
• Is Part Of: Socio-economic planning sciences. Number 71(2020)
• Publication Date: 2020-09
• Subjects: Directional distance function (DDF) -- Sustainability -- Community nurses -- Healthcare system; Planning -- Periodicals; Economic policy -- Periodicals; Social policy -- Periodicals; Planification -- Périodiques; Politique économique -- Périodiques; Politique sociale -- Périodiques; ECONOMIC PLANNING; SOCIAL PLANNING; DECISION-MAKING; 361
• DOI: 10.1016/j.seps.2019.100770
• Languages: English
• ISSNs: 0038-0121

Abstract

Abstract: This manuscript focuses on the sustainability of a European Union project, funded by the Alpine Space Programme. This project aims to develop an innovative care model based on community nurses to support municipalities in promoting active and healthy ageing. Adopting the Directional Distance Function, our work sets out to propose a specific score able to identify all those municipalities that are inefficient in supporting the ageing process through the coordination of socio-economic interventions. According to the estimated scores, policy makers can make more rational use of the available resources, implementing the innovative treatments where it is most necessary. In this way, the achievements of this European Union project can be maintained for the sake of the next generation, avoiding its collapse as soon as funding shifts to new programmes. Highlights: Sustainability of an innovative care model to promote active and healthy ageing. DDF to identify inefficient municipalities in coordinating targeted interventions. Policy makers can implement the innovative treatments where it is most necessary.