Abstract
A quality improvement collaborative, often used by the Institute for Healthcare Improvement, is used
to educate healthcare professionals and improve healthcare at the same time. Our research focused on quality
improvement collaboratives aiming to improve patient logistics and tried to identify which knowledge and skills are
required and to what extent these were enhanced during the quality improvement collaborative. We defined skills important for logistic improvements in a three-phase Delphi study. Based on the Delphi
results we made a questionnaire. We surveyed participants in a national quality improvement collaborative to assess
the skills rated as 1) important, 2) available and 3) improved during the collaborative. At two sense-making meetings,
experts reflected on our findings and hypothesized on how to improve (logistics) collaboratives. Teams especially lacked soft
skills connected to project and change management. Analytical skills increased the most, while more reflexive skills
needed for the primary goal of the collaborative (reduce access and throughput times) increased modestly.
At two sense-making meetings, attendees suggested four improvements for a quality improvement collaborative: 1)
shift the focus to project- and change management skills; 2) focus more on knowledge transfer to colleagues; 3) teach
participants to adapt the taught principles to their own situations; and 4) foster intra-project reflexive learning to
translate gained insights to other projects (inter-project learning)
Original language | English |
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Pages (from-to) | 224-235 |
Number of pages | 11 |
Journal | Bmc Health Services Research |
Volume | 18 |
DOIs | |
Publication status | Published - 2 Apr 2018 |
Research programs
- EMC NIHES-05-63-02 Quality
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Transferring skills in quality collaboratives focused on improving patient logistics
Weggelaar-Jansen, A. M. (Creator) & Van Wijngaarden, J. (Contributor), 2018
DOI: 10.6084/m9.figshare.c.4055132.v1, https://figshare.com/collections/Transferring_skills_in_quality_collaboratives_focused_on_improving_patient_logistics/4055132/1
Dataset