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X Demographics
Mendeley readers
| Title |
Identifying the primary outcome for a randomised controlled trial in rheumatoid arthritis: the role of a discrete choice experiment
|
|---|---|
| Published in |
Journal of Foot and Ankle Research, December 2017
|
| DOI | 10.1186/s13047-017-0240-3 |
| Pubmed ID | |
| Authors |
Eugena Stamuli, David Torgerson, Matthew Northgraves, Sarah Ronaldson, Lindsey Cherry |
| Abstract |
This study sought to establish the preferences of people with Rheumatoid Arthritis (RA) about the best outcome measure for a health and fitness intervention randomised controlled trial (RCT). The results of this study were used to inform the choice of the trial primary and secondary outcome measure. A discrete choice experiment (DCE) was used to assess people's preferences regarding a number of outcomes (foot and ankle pain, fatigue, mobility, ability to perform daily activities, choice of footwear) as well as different schedules and frequency of delivery for the health and fitness intervention. The outcomes were chosen based on literature review, clinician recommendation and patients' focus groups. The DCE was constructed in SAS software using the D-efficiency criteria. It compared hypothetical scenarios with varying levels of outcomes severity and intervention schedule. Preference weights were estimated using appropriate econometric models. The partial log-likelihood method was used to assess the attribute importance. One hundred people with RA completed 18 choice sets. Overall, people selected foot and ankle pain as the most important outcome, with mobility being nearly as important. There was no evidence of differential preference between intervention schedules or frequency of delivery. Foot and ankle pain can be considered the patient choice for primary outcome of an RCT relating to a health and fitness intervention. This study demonstrated that, by using the DCE method, it is possible to incorporate patients' preferences at the design stage of a RCT. This approach ensures patient involvement at early stages of health care design. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 18% |
| Student > Master | 8 | 12% |
| Researcher | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 24 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 22% |
| Nursing and Health Professions | 14 | 21% |
| Sports and Recreations | 2 | 3% |
| Social Sciences | 2 | 3% |
| Psychology | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 28 | 41% |