Improving rural and regional access to long-acting reversible contraception and medical abortion through nurse-led models of care, task-sharing and telehealth (ORIENT): a protocol for a stepped-wedge pragmatic cluster-randomised controlled trial in Australian general practice
Bibliographic record
Abstract
INTRODUCTION: Women living in rural and regional Australia often experience difficulties in accessing long-acting reversible contraception (LARC) and medical abortion services. Nurse-led models of care can improve access to these services but have not been evaluated in Australian general practice. The primary aim of the ORIENT trial (ImprOving Rural and regIonal accEss to long acting reversible contraceptioN and medical abortion through nurse-led models of care, Tasksharing and telehealth) is to assess the effectiveness of a nurse-led model of care in general practice at increasing uptake of LARC and improving access to medical abortion in rural and regional areas. METHODS AND ANALYSIS: ORIENT is a stepped-wedge pragmatic cluster-randomised controlled trial. We will enrol 32 general practices (clusters) in rural or regional Australia, that have at least two general practitioners, one practice nurse and one practice manager. The nurse-led model of care (the intervention) will be codesigned with key women's health stakeholders. Clusters will be randomised to implement the model sequentially, with the comparator being usual care. Clusters will receive implementation support through clinical upskilling, educational outreach and engagement in an online community of practice. The primary outcome is the change in the rate of LARC prescribing comparing control and intervention phases; secondary outcomes include change in the rate of medical abortion prescribing and provision of related telehealth services. A within-trial economic analysis will determine the relative costs and benefits of the model on the prescribing rates of LARC and medical abortion compared with usual care. A realist evaluation will provide contextual information regarding model implementation informing considerations for scale-up. Supporting nurses to work to their full scope of practice has the potential to increase LARC and medical abortion access in rural and regional Australia. ETHICS AND DISSEMINATION: Ethics approval was obtained from the Monash University Human Research Ethics Committee (Project ID: 29476). Findings will be disseminated via multiple avenues including a knowledge exchange workshop, policy briefs, conference presentations and peer-reviewed publications. TRIAL REGISTRATION NUMBER: This trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622000086763).
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".