Rural interprofessional primary health care team development and sustainability: establishing a research agenda
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
Primary health care (PHC) plays a pivotal role in health system reform locally and globally. The use of well functioning interprofessional primary health care (IPHC) teams is recognized as a key strategy in widespread health system reform across global, national, and provincial jurisdictions. IPHC teams contribute to the improvement of the health and well being of the population. These teams engage in issues that are a priority for citizens, such as: providing good evidence-based care; supporting the efforts of individuals, families, and communities in leading healthy lives; actively and deliberatively involving citizens in decisions affecting their health and health care system; and addressing the systemic social, economic, and political causes of health disparities, such as poverty, violence, and rural isolation. Many jurisdictions have begun to experiment with and implement major changes in the delivery of PHC. This has required that health care managers and practitioners reconsider the ways in which they have traditionally worked. However, although many innovative PHC services were developed, the notion of how to best develop and sustain the service delivery team itself and within what contexts could have used more deliberate attention. There are no documented best practices for rural IPHC team development and sustainability in the scholarly literature. This paper presents the results of a literature review, including the empirical and conceptual evidence regarding team development, team sustainability, and the role of rural context in IPHC team development. An argument for advancing PHC research that focuses on rural IPHC team development and sustainability is posited.
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 | 0.021 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.008 |
| 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