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)
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Published in |
Trials, September 2014
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Chile | 2 | 40% |
Australia | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 100% |
Mendeley readers
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% |