Interprofessional work in operating rooms: a qualitative study from Sri Lanka
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: A growing body of research shows links between poor teamwork and preventable surgical errors. Similar work has received little attention in the Global South, and in South Asia, in particular. This paper describes surgeons' perception of teamwork, team members' roles, and the team processes in a teaching hospital in Sri Lanka to highlight the nature of interprofessional teamwork and the factors that influence teamwork in this setting. METHODS: Data gathered from interviews with 15 surgeons were analyzed using a conceptual framework for interprofessional teamwork. RESULTS: Interprofessional teamwork was characterized by low levels of interdependency and integration of work. The demarcation of roles and responsibilities for surgeons, nurses, and anesthetists appeared to be a strong element of interprofessional teamwork in this setting. Various relational factors, such as, professional power, hierarchy, and socialization, as well as contextual factors, such as, patriarchy and gender norms influenced interprofessional collaboration, and created barriers to communication between surgeons and nurses. Junior surgeons derived their understanding of appropriate practices mainly from observing senior surgeons, and there was a lack of formal training opportunities and motivation to develop non-technical skills that could improve interprofessional teamwork in operating rooms. CONCLUSIONS: A more nuanced view of interprofessional teamwork can highlight the different elements of such work suited for each specific setting. Understanding the relational and contextual factors related to and influencing interprofessional socialization and status hierarchies can help improve quality of teamwork, and the training and mentoring of junior members.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 it