Facilitators and barriers to general practitioner and general practice nurse participation in end-of-life care: systematic review
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: General practitioners (GPs) and general practice nurses (GPNs) face increasing demands to provide palliative care (PC) or end-of-life care (EoLC) as the population ages. To enhance primary EoLC, the facilitators and barriers to their provision need to be understood. OBJECTIVE: To provide a comprehensive description of the facilitators and barriers to GP and GPN provision of PC or EoLC. METHOD: Systematic literature review. Data included papers (2000 to 2017) sought from Medline, PsycInfo, Embase, Joanna Briggs Institute and Cochrane databases. RESULTS: From 6209 journal articles, 62 reviewed papers reported the GP's and GPN's role in EoLC or PC practice. Six themes emerged: patient factors; personal GP factors; general practice factors; relational factors; co-ordination of care; availability of services. Four specific settings were identified: aged care facilities, out-of-hours care and resource-constrained settings (rural, and low-income and middle-income countries). Most GPs provide EoLC to some extent, with greater professional experience leading to increased comfort in performing this form of care. The organisation of primary care at practice, local and national level impose numerous structural barriers that impede more significant involvement. There are potential gaps in service provision where GPNs may provide significant input, but there is a paucity of studies describing GPN routine involvement in EoLC. CONCLUSIONS: While primary care practitioners have a natural role to play in EoLC, significant barriers exist to improved GP and GPN involvement in PC. More work is required on the role of GPNs.
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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 | 0.001 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 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 | 0.001 |
| 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 it