External facilitators and interprofessional facilitation teams: a qualitative study of their roles in supporting practice change
Bibliographic record
Abstract
BACKGROUND: Facilitation is a powerful approach to support practice change. The purpose of this study is to better understand the facilitation roles exercised by both external facilitators and interprofessional facilitation teams to foster the implementation of change. Building on Dogherty et al.'s taxonomy of facilitation activities, this study uses an organizational development lens to identify and analyze facilitation roles. It includes a concise definition of what interprofessional facilitation teams actually do, thus expanding our limited knowledge of teams that act as change agents. We also investigate the facilitation dynamics between change actors. METHODS: We carried out a qualitative analysis of a 1-year process of practice change implementation. We studied four family medicine groups, in which we constituted interprofessional facilitation teams. Each team was supported by one external facilitator and included at least one family physician, one case manager nurse, and health professionals located on or off the family medicine group's site (one pharmacist, plus at least one nutritionist, kinesiologist, or psychologist). We collected our data through focus group interviews with the four teams, individual interviews with the two external facilitators, and case audit documentation. We analyzed both predetermined (as per Dogherty et al., 2012) and emerging facilitation roles, as well as facilitation dynamics. RESULTS: A non-linear framework of facilitation roles emerged from our data, based on four fields of expertise: change management, project management, meeting management, and group/interpersonal dynamics. We identified 72 facilitation roles, grouped into two categories: "implementation-oriented" and "support-oriented." Each category was subdivided into themes (n = 6; n = 5) for clearer understanding (e.g., legitimation of change/project, management of effective meetings). Finally, an examination of facilitation dynamics revealed eight relational ties occurring within and/or between groups of actors. CONCLUSIONS: Facilitation is an approach used by appointed individuals, which teams can also foster, to build capacity and support practice change. Increased understanding of facilitation roles constitutes an asset in training practitioners such as organizational development experts, consultants, facilitators, and facilitation teams. It also helps decision makers become aware of the multiple roles and dynamics involved and the key competencies needed to recruit facilitators and members of interprofessional facilitation teams.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".