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Representative Claims in Healthcare: Identifying the Variety in Patient Representation

Overview of attention for article published in Journal of Bioethical Inquiry, June 2018
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21 Mendeley
Title
Representative Claims in Healthcare: Identifying the Variety in Patient Representation
Published in
Journal of Bioethical Inquiry, June 2018
DOI 10.1007/s11673-018-9861-x
Pubmed ID
Authors

Hester M. van de Bovenkamp, Hans Vollaard

Abstract

In many countries patient involvement is high on the healthcare policy agenda, which includes patient representation in collective decision-making. Patient organizations are generally considered to be important representatives of patients. Other actors also claim to represent patients in decision-making, such as politicians, healthcare professionals, and client advisory councils. In this paper we take a broad view of patient representation, examining all the actors claiming to represent patients in the Dutch debate on the decentralization of care. We conclude that variety in forms of representation could help do justice to the variety of patient preferences. In addition we conclude that in order to ensure the democratic quality of patient representation, actors making representative claims have to reflect on how their claims relate to each other and how they can ensure authorization and accountability in the representative relationship with those they claim to represent.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Student > Ph. D. Student 3 14%
Researcher 2 10%
Unspecified 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Social Sciences 3 14%
Medicine and Dentistry 3 14%
Agricultural and Biological Sciences 1 5%
Unspecified 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 11 52%