↓ Skip to main content

Implementación del mapa de la vulnerabilidad en salud en la Comunidad de Madrid

Overview of attention for article published in Gaceta Sanitaria, October 2016
Altmetric Badge

Mentioned by

twitter
21 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
53 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Implementación del mapa de la vulnerabilidad en salud en la Comunidad de Madrid
Published in
Gaceta Sanitaria, October 2016
DOI 10.1016/j.gaceta.2016.07.026
Pubmed ID
Authors

Milagros Ramasco-Gutiérrez, Julio Heras-Mosteiro, Sonsoles Garabato-González, Emiliano Aránguez-Ruiz, Ramón Aguirre Martín-Gil

Abstract

The Public Health General Directorate of Madrid has developed a health vulnerability mapping methodology to assist regional social health teams in health planning, prioritisation and intervention based on a model of social determinants of health and an equity approach. This process began with the selection of areas with the worst social indicators in health vulnerability. Then, key stakeholders of the region jointly identified priority areas of intervention and developed a consensual plan of action. We present the outcomes of this experience and its connection with theoretical models of asset-based community development, health-integrated georeferencing systems and community health interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Postgraduate 7 13%
Student > Bachelor 6 11%
Researcher 6 11%
Professor 3 6%
Other 5 9%
Unknown 16 30%
Readers by discipline Count As %
Medicine and Dentistry 11 21%
Nursing and Health Professions 9 17%
Social Sciences 3 6%
Environmental Science 3 6%
Chemistry 2 4%
Other 9 17%
Unknown 16 30%