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Open Access Research article

Conducting Online Expert panels: a feasibility and experimental replicability study

Dmitry Khodyakov1*, Susanne Hempel1, Lisa Rubenstein12, Paul Shekelle13, Robbie Foy4, Susanne Salem-Schatz5, Sean O'Neill16, Margie Danz12 and Siddhartha Dalal1

Author Affiliations

1 The RAND Corporation, 1776 Main Street, PO Box 2138, Santa Monica, CA 90401, USA

2 Veterans Affairs Greater Los Angeles at Sepulveda, 16111 Plummer St. (152), North Hills, CA 91343, USA

3 Veterans Affairs Greater Los Angeles Healthcare System, 11301 Wilshire Boulevard Los Angeles, CA 90073, USA

4 Leeds Institute of Health Sciences, University of Leeds, Leeds, LS2 9JT, UK

5 Independent Consultant, HealthCare Quality Initiatives, Newton, MA, 02459, USA

6 Northwestern University, Feinberg School of Medicine Arthur J. Rubloff Building 420 East Superior Street Chicago, IL 60611, USA

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BMC Medical Research Methodology 2011, 11:174  doi:10.1186/1471-2288-11-174

Published: 23 December 2011

Abstract

Background

This paper has two goals. First, we explore the feasibility of conducting online expert panels to facilitate consensus finding among a large number of geographically distributed stakeholders. Second, we test the replicability of panel findings across four panels of different size.

Method

We engaged 119 panelists in an iterative process to identify definitional features of Continuous Quality Improvement (CQI). We conducted four parallel online panels of different size through three one-week phases by using the RAND's ExpertLens process. In Phase I, participants rated potentially definitional CQI features. In Phase II, they discussed rating results online, using asynchronous, anonymous discussion boards. In Phase III, panelists re-rated Phase I features and reported on their experiences as participants.

Results

66% of invited experts participated in all three phases. 62% of Phase I participants contributed to Phase II discussions and 87% of them completed Phase III. Panel disagreement, measured by the mean absolute deviation from the median (MAD-M), decreased after group feedback and discussion in 36 out of 43 judgments about CQI features. Agreement between the four panels after Phase III was fair (four-way kappa = 0.36); they agreed on the status of five out of eleven CQI features. Results of the post-completion survey suggest that participants were generally satisfied with the online process. Compared to participants in smaller panels, those in larger panels were more likely to agree that they had debated each others' view points.

Conclusion

It is feasible to conduct online expert panels intended to facilitate consensus finding among geographically distributed participants. The online approach may be practical for engaging large and diverse groups of stakeholders around a range of health services research topics and can help conduct multiple parallel panels to test for the reproducibility of panel conclusions.