<i>Estimation of Human Resource Needs And Cost of Adding Registered Dietitians</i> To Primary Care Networks
Bibliographic record
Abstract
PURPOSE: Information on human resources and costs is needed to plan for the addition of registered dietitian (RD) services to new models of primary health care (PHC). Estimates were developed, based on an analysis of an enhanced RD model of counselling and health promotion services in three Ontario Family Health Networks (FHNs). METHODS: Both direct and indirect costs were averaged over the three FHNs. Costs and RD activities were tracked throughout 2005. The FHN staff completed two questionnaires addressing communication, case management, and satisfaction with RD services. RESULTS: Actual and reported case management indicated that an estimated 1.3% to 2.4% of the 60,000 enrolled patients may require individual nutrition counselling in a year. If one full-time equivalent (FTE) RD can manage 380 new referrals, then one FTE RD is needed per 15,800 to 29,000 patients. The estimated direct costs of adding one FTE RD (including expenses and fixed costs) is US dollars 78,169 to US dollars 80,169, when the RD is an independent contractor. CONCLUSIONS: Additional studies are needed to develop better estimates of human resource needs and costs of interdisciplinary nutrition services in all PHC settings. These estimates should be based on population characteristics and direct and indirect costs for all models of nutrition services in PHC settings.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 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".