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X Demographics
Mendeley readers
Title |
Implementation of personalized self-management support using the self-management screening questionnaire SeMaS; a study protocol for a cluster randomized trial
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Published in |
Trials, October 2013
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DOI | 10.1186/1745-6215-14-336 |
Pubmed ID | |
Authors |
Nathalie Eikelenboom, Jan van Lieshout, Michel Wensing, Ivo Smeele, Annelies E Jacobs |
Abstract |
The number of patients with one or more chronic diseases is rising. In several standards of care there is a focus on enhancing self-management. We applied the concept of personalization on self-management support and developed a self-management screening questionnaire (SeMaS). The main research objective is to assess the effectiveness of the SeMaS questionnaire and subsequent personalized self-management on patients' self-management behaviors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 137 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 15% |
Student > Ph. D. Student | 20 | 14% |
Student > Bachelor | 19 | 13% |
Researcher | 13 | 9% |
Student > Doctoral Student | 9 | 6% |
Other | 28 | 20% |
Unknown | 32 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 40 | 28% |
Nursing and Health Professions | 20 | 14% |
Psychology | 13 | 9% |
Computer Science | 7 | 5% |
Social Sciences | 6 | 4% |
Other | 19 | 13% |
Unknown | 37 | 26% |