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Record W44518730

Pharmacoeconomics: From Theory to Practice

2010· article· en· W44518730 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePubMed Central · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacoeconomicsReimbursementHealth economicsCost-effectiveness analysisMedicineManagement scienceDecision analysisCost effectivenessHealth careRisk analysis (engineering)EconomicsIntensive care medicineNursingPublic health
DOInot available

Abstract

fetched live from OpenAlex

Pharmacoeconomics: From Theory to Practice introduces readers to the major concepts and principles of pharmacoeconomics and cost-effectiveness analysis. Bridging the gap between theory and practice, the text emphasizes how to apply pharmacoeconomic modeling and decision-making to real-world dilemmas. Issues relating to decisions made in drug regulation, approval, and pricing of the human papillomavirus vaccine are woven throughout the text to illustrate key concepts and ideas. The book is edited by Renee J. G. Arnold: pharmacist, adjunct faculty member, and consultant. Dr. Arnold recruited a highly accomplished group of experts to contribute well-written and informative book chapters including William McGhan, J. Jaime Caro, Gordon Guyatt, Michael Drummond, and others. The book consists of 16 chapters, with the following titles: Introduction to Pharmacoeconomics; Decision Modeling Techniques; Cost of Illness; Markov Modeling in Decision Analysis; Retrospective Database Analysis; What Is Cost-Minimization Analysis?; Cost-Effectiveness Analysis; Budget Impact Analysis; Cost-Utility Analysis: A Case Study of a Quadrivalent Human Papillomavirus Vaccine; Some Problems/Assumptions in Pharmacoeconomic Analysis; Patient-Reported Outcome Measures; Sensitivity Analysis; Use of Pharmacoeconomics in Drug Reimbursement in Australia Canada, and the United Kingdom: What Can We Learn from International Experience?; Pharmacoeconomics in Disease Management: Practical Applications and Persistent Challenges; Computer-Aided Decision Making from Drug Discovery to Pharmacoeconomics; and Speculations on the Future Challenges and Value of Pharmacoeconomics. Each chapter can stand by itself as a work of scholarship. As an example, Alan Haycox's chapter on cost-minimization analysis provides one the best discussions available about when cost-minimization is an appropriate method for economic analysis. Dr. Arnold does not state the intended audience for this text. As an introduction to pharmacoeconomics, the book contains concepts and terminology which are fairly sophisticated for individuals with no prior background on the subject. No additional tools of pedagogy are provided to aid teachers, such as a list of learning objectives, a glossary of terms, exercises, and chapter review questions. In addition, the book's price (available new and online for approximately $80) is relatively high for general adoption for teaching students in a pharmacy school. The book is better suited for teaching graduate level classes or used as a reference for educators and researchers. Pharmacoeconomics: From Theory to Practice is one of an expanding collection of books on pharmacoeconomics, health economics, and decision analysis available to pharmacy educators. This one is a contribution to that collection due to its content and quality of writing. Although the book is an introduction, individuals with experience in pharmacoeconomics may benefit from reading it, too.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.008

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.

Opus teacher head0.164
GPT teacher head0.406
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it