Kharia J. Holmes, MD
Virginia Commonwealth University
Twitter: @DivaMDOnCall
Hashtag: #AGS13
Twitter: @DivaMDOnCall
Hashtag: #AGS13
COLLABORATORS





Linda A. Abbey
Rachel Selby-Penczak
Sara Hobgood
Peter Boling
Alan Dow
DISCLOSURES

None
FUNDING

Project supported by a
grant from the Donald W.
Reynolds Foundation
SPECIAL THANKS





Arline
Bohannon
Joel Browning
Katherine
Coffey-Vega
Jeff
Delafuente
Bonita Hogue





Beth Myers
Pamela
Parsons
Lana Sargent
Chris Stevens
Bert Walters
Twitter: @DivaMDOnCall
Hashtag: #AGS13
1.
Needed Innovation:
Effective
Interprofessional
Education for Health
Professional Students
(IOM, 2003)
2.
Limited data on
effective methods
(Reeves S, et al. 2013)
Twitter: @DivaMDOnCall
Hashtag: #AGS13
“Apply leadership practices
that support collaborative
practice and team
effectiveness.”
(IPEC Core
Competencies, 2011)
On effective work teams,
leadership is co-produced –
individuals both lead and
follow.
(Shamir B et al. 2007)
Twitter: @DivaMDOnCall
Hashtag: #AGS13

Within a complex, virtual, interprofessional
case:
 What leadership characteristics support success?
 How should the leadership characteristics associated
with success influence health professions education?
Twitter: @DivaMDOnCall
Hashtag: #AGS13
Twitter: @DivaMDOnCall
Hashtag: #AGS13
Input case
clinical data
Complete
peer
evaluations
Answer
questions
individually
Answer
questions as a
group
Twitter: @DivaMDOnCall
Hashtag: #AGS13
Input case
clinical data
Peer
Evaluation
Scores
Complete
peer
evaluations
Team Score
Message Board
Posts:
• Quantity
• Quality
Posts to Case
Records
Answer
questions
individually
Answer
questions as a
group
Individual
Score

Extraction of data from virtual case system

Univariate and multivariate correlations with
total score

Qualitative analysis of message board posts
from top performing teams for leadership
characteristics
Twitter: @DivaMDOnCall
Hashtag: #AGS13

Teams scores ranged from +2850 to +6530
 Max possible score of +8700

Univariate predictors of total score:
 total post views by team
 individual logins
 individual score
 new threads
 total threads
Twitter: @DivaMDOnCall
Hashtag: #AGS13

In a multivariate model, only “total post
views by team” predicted total score
(r2=0.224, p = 0.002).

Number of post views:
 max = 2,265 in first wave, 1,281 in second wave
 median = 224
 mean = 393
Twitter: @DivaMDOnCall
Hashtag: #AGS13

Characteristics of
Higher Scoring Teams
1. 3+ leaders
2. Rotating Leadership
3. Contribution by all
team members
4. Organized dialogue
threads
5. Scheduled “IPT
Meetings”
Twitter: @DivaMDOnCall
Hashtag: #AGS13
Twitter: @DivaMDOnCall
Hashtag: #AGS13

Informal qualitative
analysis

Limited control of
discussion outside the
virtual network

Uncertainty of transfer
of virtual case
behaviors to clinical
environment
Twitter: @DivaMDOnCall
Hashtag: #AGS13

Formal qualitative
analysis of dialogue
content

Assess for translation
of collaborative skills
into clinical settings
Twitter: @DivaMDOnCall
Hashtag: #AGS13
• Leadership appears to be
co-produced on the most
successful teams in a virtual
case environment.
• Leadership training in the
health professions should
consider adopting the
leadership co-production
model, especially for
interprofessional education
*Diva MD’s By: Frank Morrison