Effects of the scope of practice on family physicians: a systematic review
Bibliographic record
Abstract
BACKGROUND: Family medicine is a branch of medicine that manages common and long-term illnesses in children and adults. Family physicians in particular play a major role and their scope of practice is expected to impact patient and population. However, little is known about its impact on physicians. We aimed to assess the effects of scope of practice on family physician outcomes. METHODS: We performed a systematic review that we reported using PRISMA guidelines. For the inclusion criteria, any study exploring an association between the scope of practice and physician outcomes was considered. Three bibliographic databases Medline, Embase, and ERIC were consulted through OVID interface from their respective inceptions to November, 2020. Two reviewers independently selected studies, extracted data and assessed the risk of bias of studies using appropriate tools. We conducted data synthesis using a narrative form. GRADE was used for evaluating quality of cumulative evidence. RESULTS: In total, we included 12 studies with 38,732 participants from 6927 citations identified. Eleven of them were cross-sectional, and one was a cohort study with acceptable methodological quality. We found that: 1) family physicians with diverse clinical and nonclinical activities significantly improve their job satisfaction (p<0.05); 2) family physicians with a variety of clinical practices significantly improve their competences and health status (p<0.05); 3) family physicians who perform clinical procedures (mainly extended to gynecological procedures) significantly improve their psychosocial outcomes (e.g., job satisfaction) (p<0.05); and 4) some associations are not statistically significant (e.g., relation between variety of practice settings and outcomes). We observed that the evidence available has a very low level. CONCLUSIONS: Our findings suggest that the scope of practice may be favorably associated with some family physician outcomes but with a very low level of evidence available. Based on these findings, healthcare system managers could monitor the scope of practice among family physicians and encourage future research in this field. SYSTEMATIC REVIEW REGISTRATION: Our protocol was registered under the number CRD42019121990 in PROSPERO.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.128 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".