Third-party Reimbursement of Pharmacist-Led Cardiovascular and Diabetes Preventive Health Services for Workplace Health Initiatives: A Narrative Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To summarize available literature describing third-party payer reimbursement models for pharmacist-led preventive health services as part of workplace health initiatives. METHODS: A combination of search terms related to pharmacists, preventive health, and third-party reimbursement were searched in MEDLINE, EMBASE, and PubMed. Included studies described community pharmacist-led cardiovascular and diabetes preventive health service to employees older than 18 years of age as part of a workplace health program with corresponding third-party reimbursement models. Programs that were reimbursed by government resources or studies lacking reimbursement model details were excluded. One reviewer performed level 1 screening and three reviewers analyzed included studies. RESULTS: The search criteria yielded 863 results. Sixteen articles were reviewed after level 1 screening and 13 were ineligible and excluded. Three studies with varying quality of reporting were included. Reimbursement models varied from $40 USD for a 20-minute visit to $391 to $552 USD total per patient with an average of 6 visits per patient. CONCLUSION: There is a lack of quality literature describing third-party reimbursement models for pharmacist-led preventive health services, which hinders the ability to implement a standardized model. High quality studies evaluating the cost of reimbursing pharmacist-led cardiovascular preventive health services compared to the savings to the third-party payer should be performed to inform the standardization of payment models.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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 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".