Title |
Presenting evidence-based health information for people with multiple sclerosis: the IN-DEEP project protocol
|
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Published in |
BMC Medical Informatics and Decision Making, March 2012
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DOI | 10.1186/1472-6947-12-20 |
Pubmed ID | |
Authors |
Sophie Hill, Graziella Filippini, Anneliese Synnot, Michael Summers, Deirdre Beecher, Cinzia Colombo, Paola Mosconi, Mario A Battaglia, Sue Shapland, Richard H Osborne, Melanie Hawkins |
Abstract |
Increasingly, evidence-based health information, in particular evidence from systematic reviews, is being made available to lay audiences, in addition to health professionals. Research efforts have focused on different formats for the lay presentation of health information. However, there is a paucity of data on how patients integrate evidence-based health information with other factors such as their preferences for information and experiences with information-seeking. The aim of this project is to explore how people with multiple sclerosis (MS) integrate health information with their needs, experiences, preferences and values and how these factors can be incorporated into an online resource of evidence-based health information provision for people with MS and their families. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 7% |
Unknown | 54 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 22% |
Student > Master | 9 | 16% |
Researcher | 7 | 12% |
Student > Doctoral Student | 5 | 9% |
Librarian | 4 | 7% |
Other | 12 | 21% |
Unknown | 8 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 31% |
Psychology | 8 | 14% |
Nursing and Health Professions | 5 | 9% |
Computer Science | 5 | 9% |
Social Sciences | 4 | 7% |
Other | 8 | 14% |
Unknown | 10 | 17% |