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Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson’s disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014)

Overview of attention for article published in Trials, September 2014
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Title
Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson’s disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014)
Published in
Trials, September 2014
DOI 10.1186/1745-6215-15-374
Pubmed ID
Authors

Rashmi Lakshminarayana, Duolao Wang, David Burn, K Ray Chaudhuri, Gemma Cummins, Clare Galtrey, Bruce Hellman, Suvankar Pal, Jon Stamford, Malcolm Steiger, Adrian Williams, The SMART-PD Investigators

Abstract

Nonadherence to treatment leads to suboptimal treatment outcomes and enormous costs to the economy. This is especially important in Parkinson's disease (PD). The progressive nature of the degenerative process, the complex treatment regimens and the high rates of comorbid conditions make treatment adherence in PD a challenge. Clinicians have limited face-to-face consultation time with PD patients, making it difficult to comprehensively address non-adherence. The rapid growth of digital technologies provides an opportunity to improve adherence and the quality of decision-making during consultation. The aim of this randomised controlled trial (RCT) is to evaluate the impact of using a smartphone and web applications to promote patient self-management as a tool to increase treatment adherence and working with the data collected to enhance the quality of clinical consultation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Taiwan 1 <1%
Unknown 256 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 18%
Researcher 41 16%
Student > Ph. D. Student 38 15%
Student > Doctoral Student 19 7%
Student > Bachelor 19 7%
Other 48 18%
Unknown 49 19%
Readers by discipline Count As %
Medicine and Dentistry 63 24%
Nursing and Health Professions 32 12%
Psychology 28 11%
Computer Science 16 6%
Neuroscience 12 5%
Other 54 21%
Unknown 55 21%