Using Normalisation Process Theory to explore an interprofessional approach to Goals of Care: a qualitative study of stakeholders’ perspectives
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
Goals of Care (GOC) is a longitudinal, multi-setting, and interprofessional practise aiming to guide the use of life-sustaining therapies. We documented the perspectives of different stakeholders regarding their roles in GOC intervention and explored the possibility of implementing an interprofessional approach in a healthcare and social services institution. We interviewed nurses, social workers, and relatives of deceased persons and analyzed the results using an analytical framework based on the 16 mechanisms of the Normalization Process Theory. We identified barriers to implementing a sustainable interprofessional approach to GOC, such as the lack of designated leaders responsible for supporting the day-to-day provision of this rather complex intervention, the difficulty of access to physicians in two of the three care settings under study, and the lack of a robust informational system. We also demonstrated that the GOC intervention is postponed until there is no uncertainty to deal with, i.e., at the end of life. Our study adds to an emerging body of literature criticising the concept of making advance medical directives itself. We advocated for the promotion of tools that would enable lay people to select and empower a supportive decision maker to better represent them in serious illness decision making.
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.
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 | 0.001 | 0.000 |
| 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) | 0.000 | 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 it