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X Demographics
Mendeley readers
Title |
Questionnaires in clinical trials: guidelines for optimal design and administration
|
---|---|
Published in |
Trials, January 2010
|
DOI | 10.1186/1745-6215-11-2 |
Pubmed ID | |
Authors |
Phil Edwards |
Abstract |
A good questionnaire design for a clinical trial will minimise bias and maximise precision in the estimates of treatment effect within budget. Attempts to collect more data than will be analysed may risk reducing recruitment (reducing power) and increasing losses to follow-up (possibly introducing bias). The mode of administration can also impact on the cost, quality and completeness of data collected. There is good evidence for design features that improve data completeness but further research is required to evaluate strategies in clinical trials. Theory-based guidelines for style, appearance, and layout of self-administered questionnaires have been proposed but require evaluation. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 6 | 24% |
Saudi Arabia | 2 | 8% |
Canada | 2 | 8% |
South Africa | 1 | 4% |
Oman | 1 | 4% |
United States | 1 | 4% |
Australia | 1 | 4% |
Unknown | 11 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 48% |
Practitioners (doctors, other healthcare professionals) | 8 | 32% |
Scientists | 4 | 16% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 3 | <1% |
United Kingdom | 3 | <1% |
Italy | 2 | <1% |
Brazil | 2 | <1% |
Bangladesh | 1 | <1% |
Colombia | 1 | <1% |
Australia | 1 | <1% |
Indonesia | 1 | <1% |
Mexico | 1 | <1% |
Other | 3 | <1% |
Unknown | 356 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 16% |
Researcher | 60 | 16% |
Student > Master | 60 | 16% |
Student > Bachelor | 34 | 9% |
Other | 25 | 7% |
Other | 67 | 18% |
Unknown | 67 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 119 | 32% |
Nursing and Health Professions | 32 | 9% |
Social Sciences | 28 | 7% |
Psychology | 21 | 6% |
Agricultural and Biological Sciences | 18 | 5% |
Other | 78 | 21% |
Unknown | 78 | 21% |