Literature DB >> 21485910

Patient participation in public elections: a literature review.

Paul Regan1, Neal Hudson, Barry McRory.   

Abstract

Healthcare organisations and nurse leaders have an important role in promoting patients' right to vote, through the development of policy guidelines, integrated networking and innovative practice. Patients' mental capacity to vote is usually assessed by nurses, who must therefore be aware of clients' voting rights and if the right resources are in place to help them do so. Patients' rights, as citizens, are recognised in law and in professional guidelines, but more needs to be done to protect their voting rights. There should also be better access to transport and family support, and more flexible electoral procedures. This article reviews the literature on promoting patients' participation in local and general elections and suggests that their voting rights should be endorsed by organisations and nurse leaders through policy guidelines and a flexible and proactive nursing approach to participation.

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Year:  2011        PMID: 21485910     DOI: 10.7748/nm2011.03.17.10.32.c8358

Source DB:  PubMed          Journal:  Nurs Manag (Harrow)        ISSN: 1354-5760


  5 in total

1. 

Authors:  Danyaal Raza; Chloe Brown; Andrew D Pinto
Journal:  Can Fam Physician       Date:  2020-09       Impact factor: 3.275

2.  Supporting patients to shape social determinants of health through democratic engagement.

Authors:  Danyaal Raza; Chloe Brown; Andrew D Pinto
Journal:  Can Fam Physician       Date:  2020-09       Impact factor: 3.275

3.  Emergency Absentee Voting for Hospitalized Patients and Voting During COVID-19: A 50-State Study.

Authors:  Oliver Y Tang; Kelly E Wong; Reetam Ganguli; Keyana Zahiri; Nicole M Burns; Saba Paracha; Giovanni Kozel; Kevin P Tang; Jeremiah D Schuur
Journal:  West J Emerg Med       Date:  2021-07-15

Review 4.  Voting, health and interventions in healthcare settings: a scoping review.

Authors:  Chloe L Brown; Danyaal Raza; Andrew D Pinto
Journal:  Public Health Rev       Date:  2020-07-01

5.  What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?

Authors:  Chandril Chandan Ghosh; Duncan McVicar; Gavin Davidson; Ciaran Shannon; Cherie Armour
Journal:  BMC Psychiatry       Date:  2022-06-24       Impact factor: 4.144

  5 in total

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