Multidisciplinary Teamwork and Interprofessional Partnerships in Healthcare Setting: The Critical Ingredients
Bibliographic record
Abstract
This chapter provides an overview of the components of successful teamworking and partnership working. It outlines the numerous benefits of effective teamwork and its promise for safe, efficient, and quality care for patients. The chapter describes the challenges to effective teamworking in health care, and delineates the stages involved in joint working efforts as they evolve, highlighting the need for specific teamwork enablers at each stage. The chapter then details selected teamwork enablers, namely communication; the requisite expertise and competencies required; leadership and its types that lend themselves to partnership and teamworking; and power issues within multidisciplinary care settings, and their influences on collaboration. The chapter also communicates other critical factors for successful joint working, including personnel factors, personnel barriers, organisational factors, organisational barriers, and power-related factors, highlighting the interplay of many interlacing factors in joint working. Finally, it illustrates important considerations when evaluating joint and teamworking efforts that require attention, whilst emphasizing some challenges frequently encountered when appraising such initiatives, in terms of process, outcome, and impact measures. The chapter concludes by bringing together these factors in a simple model as a useful take home message for practitioners, professionals, and administrators embarking on teamworking and partnership endeavours.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".