Bibliographic record
Abstract
Background: Assessing health interventions today requires the use of economic knowledge due to the growing complexity and high cost of healthcare. Pharmacoeconomics, a branch of health economics, assesses the value of pharmaceutical goods and services by weighing their costs and benefits. Pharmacoeconomic analysis plays a critical role in supporting evidence-based decision-making and policy-making as healthcare expenditures throughout the globe continue to grow. Purpose: The objective of this study is to provide a concise overview of pharmacoeconomics, its primary methodologies, and its growing significance within healthcare systems. Methods: This literature review, covering publications from 2014 to 2025, analyzed peer-reviewed articles, policy documents, and textbooks on pharmacoeconomics. The review employed comparative frameworks such as cost minimization, cost-effectiveness, cost-utility, and cost-benefit analyses. Results: Pharmacoeconomic analysis is increasingly being included in national and international healthcare systems to ensure efficient resource management. It significantly influences the evaluation of rival treatment options and the judgments about medication reimbursement. Common methodologies encompass cost-effectiveness and cost-utility evaluations, among others. Countries such as the UK, Canada, and Australia have institutionalized pharmacoeconomic evaluations through the establishment of organizations like the National Institute for Health and Care Excellence (NICE), the Canadian Agency for Drugs and Technologies in Health (CADTH), and the Pharmaceutical Benefits Advisory Committee (PBAC). Conclusion: Pharmacoeconomics is a crucial component of the modern healthcare landscape, facilitating the optimal allocation of limited financial resources to enhance health outcomes. It assists policymakers, physicians, and payers in making decisions informed by costs and clinical outcomes. As healthcare costs continue to rise, the role of pharmacoeconomics in policymaking and practice will become increasingly essential.
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 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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".