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Cómo evaluar y reducir desigualdades sociales en los programas de cribado de cáncer

Overview of attention for article published in Gaceta Sanitaria, February 2016
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Title
Cómo evaluar y reducir desigualdades sociales en los programas de cribado de cáncer
Published in
Gaceta Sanitaria, February 2016
DOI 10.1016/j.gaceta.2016.01.008
Pubmed ID
Authors

Gemma Binefa, Montse García, Rosana Peiró, Ana Molina-Barceló, Raquel Ibáñez, en nombre de los participantes de cribado de del encuentro «¿Cómo reducir las desigualdades sociales en los programas cáncer?»

Abstract

This field note presents the conclusions and recommendations made at the meeting 'How to reduce social inequalities in cancer screening programmes?' held at the XXVI School of Public Health of Mahon (Menorca, Spain). Participants developed recommendations based on experiences of population-based screening programmes (breast and colorectal) and opportunistic screening (cervical). The conclusions and recommendations focused on four main areas (information systems, evaluation and quality, research, and interventions): the inclusion of social variables at an individual level in health information systems; the establishment of minimum standards for gathering information regarding inequalities in access to preventive services; the performance of actions in vulnerable populations; and the promotion of the exchange of experiences and best practices through the Cancer Screening Programmes Network and working groups of the scientific societies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Bachelor 5 14%
Student > Master 5 14%
Other 4 11%
Student > Ph. D. Student 3 8%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Nursing and Health Professions 4 11%
Agricultural and Biological Sciences 2 6%
Economics, Econometrics and Finance 2 6%
Psychology 2 6%
Other 9 25%
Unknown 9 25%