Abstract | OBJECTIVE: Little evidence exists about effective and scalable methods for meaningful stakeholder engagement in research. We explored patient/caregiver experiences with a high-tech online engagement approach for patient-centered research prioritization, compared their experiences with those of professional stakeholders, and identified factors associated with favorable participant experiences. METHODS: We conducted 8 online modified-Delphi (OMD) panels. Panelists participated in 2 rating rounds with a statistical feedback/online discussion round in between. Panels focused on weight management/obesity, heart failure, and Kawasaki disease. We recruited a convenience sample of adults with any of the 3 conditions (or parents/guardians of Kawasaki disease patients), clinicians, and researchers. Measures included self-reported willingness to use OMD again, the panelists' study participation and online discussion experiences, the system's perceived ease of use, and active engagement metrics. RESULTS: Out of 349 panelists, 292 (84%) completed the study. Of those, 46% were patients, 36% were clinicians, and 19% were researchers. In multivariate models, patients were not significantly more actively engaged (Odds ratio (OR) = 1.69, 95% confidence interval (CI), 0.94-3.05) but had more favorable study participation (β = 0.49; P ≤ .05) and online discussion (β = 0.18; P ≤ .05) experiences and were more willing to use OMD again (β = 0.36; P ≤ .05), compared to professional stakeholders. Positive perceptions of the OMD system's ease of use (β = 0.16; P ≤ .05) and favorable study participation (β = 0.26; P ≤ .05) and online discussion (β = 0.57; P ≤ .05) experiences were also associated with increased willingness to use OMD in the future. Active engagement was not associated with online experience indices or willingness to use OMD again. CONCLUSION: Online approaches to engaging large numbers of stakeholders are a promising and efficient adjunct to in-person meetings.
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Authors | Dmitry Khodyakov, Sean Grant, Daniella Meeker, Marika Booth, Nathaly Pacheco-Santivanez, Katherine K Kim |
Journal | Journal of the American Medical Informatics Association : JAMIA
(J Am Med Inform Assoc)
Vol. 24
Issue 3
Pg. 537-543
(May 01 2017)
ISSN: 1527-974X [Electronic] England |
PMID | 28011596
(Publication Type: Comparative Study, Journal Article)
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Copyright | © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: [email protected] |
Topics |
- Adult
- Biomedical Research
- Delphi Technique
- Female
- Humans
- Logistic Models
- Male
- Multivariate Analysis
- Online Systems
- Patient Outcome Assessment
- Patients
- Research Personnel
- Surveys and Questionnaires
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