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Objectives. Understand the primary sections contained in a dossierApply the format of the AMCP monographDesign a clinical efficacy tableDemonstrate how to complete a search of primary literature. DOSSIER. What is a product dossier?. Clinical summary of a drugStandardized reporting formatProvided by drug manufacturersTool for formulary decision-makersMCOs, PBMs, health-systemsIt is NOT a sales or marketing toolIt CANNOT offer precise answers guarantee better overall decisions reduc32485
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1. AMCP P&T Monograph Review Jennifer Banovic, PharmD, BCPS
Drug Information Clinical Specialist
November 5th 2009
2. Objectives Understand the primary sections contained in a dossier
Apply the format of the AMCP monograph
Design a clinical efficacy table
Demonstrate how to complete a search of primary literature
3. DOSSIER
4. What is a product dossier? Clinical summary of a drug
Standardized reporting format
Provided by drug manufacturers
Tool for formulary decision-makers
MCOs, PBMs, health-systems
It is NOT a sales or marketing tool
It CANNOT
offer precise answers
guarantee better overall decisions
reduce healthcare expenditures
5. The AMCP Format for Formulary Submissions Used by organizations across the country
Regence Group, numerous BCBS plans nationwide, PBMs such as AdvancePCS and Cardinal Health
Plans that use the Format enroll >100 million members
Widely accepted by pharmaceutical industry
Acknowledgment of the Format’s value at the individual P&T committee level
FDA regulations require that dossiers be made available only upon request; cannot be proactively disseminated
6. The AMCP Format for Formulary Submissions Version 2.1: www.fmcpnet.org/data/resource/Format~Version_2_1~Final_Final.pdf
Format for product dossiers
Integrates published and unpublished data on efficacy, safety, economic impact, and other medical outcomes
Permits efficient review by coverage and formulary decision-makers
Goals:
Improve timeliness, scope, quality, and relevance of information available to P&T committees
Simplify the review process
7. Responsibilities of the drug companies Dossier ready by the time product is launched
4 primary sections
Must be presented in a specific order
Allows for efficient review
Supporting information should also be included
Provide dossier in response to unsolicited requests
8. The AMCP Format - Sections Disease and Product Information
Supporting Clinical and Economic Information
Cost-effectiveness and Budget Impact Model Report
Product Value and Overall Cost
Supporting Information
Reprints, bibliography, checklist, electronic media, appendices, authors
9. Section 1 - Product Information 1.1 Product description (max 20 pages)
Names, class, forms, indications, pharmacology, PK/PD, warnings, precautions, CIs, AEs, dosing, cost, access, etc.
Table with comparator products
1.2 Place of the product in therapy
1.2.1 Disease description (max 2-4 pages/disease)
Epidemiology and risk factors, pathophysiology, clinical presentation, societal/economic impact
1.2.2 Approaches to treatment (max 2-3 pages/indication)
How is disease treated and how does the drug fit into therapy
Treatment guidelines
1.3 Evidence for pharmacogenomic tests and drugs
10. Section 2 – Supporting Clinical and Economic Information 2.1 Summarizing key clinical and economic studies
Pivotal efficacy and safety trials (3-4 pages/study)
Systematic reviews and meta-analyses
Positive and negative findings
2.1.1 Evidence table spreadsheets of all published and unpublished trials
Citation, sample, design, inclusion/exclusion, treatments, endpoints, results, significance
2.2 Outcomes studies and economic evaluation supporting data
3-4 pages/study
2.1.1 Evidence table spreadsheets of all published and unpublished outcomes studies
11. Section 3 - Modeling report 3.1 Model overview (20 pages)
Cost-effectiveness ideal
3.2 Parameter estimates for models
Translate efficacy results to effectiveness parameters
3.3 Perspective, time horizon and discounting
Primary analysis – payer perspective
Secondary evaluation – societal perspective
3.4 Analyses
Clear and transparent – data and calculations are visible
3.5 Presentation of model results
Inputs, assumptions, costs, sensitivity analyses
3.6 Exceptions
12. Section 4 - Product Value and Overall Cost Summary of all clinical and economic information presented in the previous sections
Expected cost/unit
Value argument
Manufacturer should justify expected expenditures
Context of clinical and economic effects
Clients and members
Why the product should be added to formulary
Max 2-3 pages
13. Section 5 - Supporting Information 5.1 References contained in dossiers
List and provide copies
5.2 Economic models
Spreadsheet or CD-ROM
Transparent, unlocked
Designed to allow individuals to review calculations
Not graphical representation as presented in section 3
5.3 Formulary submission checklist
14. DRUG MONOGRAPH
15. Drug Monograph Comprehensive review of a drug or drug class
Questions to keep in mind
Is the drug…
More effective
Safer
More convenient (easier to use)
Cheaper
16. Drug Monograph Drug profile
Manufacturer, patent expiration, labeled/unlabeled uses
Dosing, administration, availability (formulations)
Adjustments for renal or hepatic impairment, elderly or pediatrics
Pharmacology
Brief description of the mechanism of action
Focus on information clinically relevant to the drug’s formulary status
PK (ADME)
AEs, monitoring parameters
What is clinically relevant?
Consider special patient populations
Specific adverse effects reported in table format
CIs, interactions, allergies, intolerances
Drug-drug, drug-food, drug-disease state
Include interaction, description, and clinical significance of interaction
Consider a table format
Therapeutic use
Similar drugs, same drug class or same treatment indication
17. Example
18. Example
19. Drug Monograph Summary of medical evidence
Studies supporting efficacy
Large, well-designed, head-to-head, randomized controlled trials are ideal
Compile trials in tabular format 1st, then summarize evidence from clinical trials
Background information needed to interpret results
20. Specific elements of efficacy table Reference: author, year, citation
Trial design/duration
Randomized (R), double-blind (DB), placebo-controlled (PC), parallel-group (PG), crossover (XO), etc.
Use abbreviations and define at end of table
n = number of patients in the study
Drug regimens: list regimens and placebo (if applicable)
Abbreviations may save space
Demographics: patient characteristics
End points
Primary, secondary
Single, composite outcomes
Safety
Results/comments
Corresponding result for each endpoint
Limitations of the study
21. Example
22. Drug Monograph Economic evidence
Pharmacoeconomic studies and outcomes research
Compare value of 1 therapy vs. another
Evaluate cost and effect on healthcare resource utilization ($, efficacy, QoL)
Prepare table 1st, then summarize
Utilization data
Formulary tier, market share, # Rxs, AWP/Rx, mean quantity dispensed
Budget impact/cost-effectiveness model
Type of model, key assumptions, sensitivity analyses and scenarios
Model results and conclusions
Projected impact of formulary addition on the plan’s drug budget
Pipeline products in Phase 3
23. Drug Monograph Place in therapy
Where does this product fit in?
What factors do we need to consider?
Overall product value and cost
How much will we spend on this?
Impact: member, client, PBM perspectives
Formulary recommendations
Reflect what was presented in the monograph
Final and concise version of findings
Proposed programs
Authors
References (correct format)
24. Issues for formulary consideration Should the drug be added to the formulary?
Is there a specific therapeutic niche and/or subpopulation of patients to which its use should be restricted? If so, how to define/identify?
Should the drug be declared to be therapeutically equivalent to similar drugs (those mentioned in the introduction)?
25. Study Results and NNT Absolute risk reduction (ARR)
Absolute difference in rates of an outcome between groups
Ex: Risk of stroke is 4% with a statin and 6% with placebo; ARR = 2%
Relative risk (RR)
Ratio of the risk in the treatment group to the risk in the control group
Ex: RR = 0.66
Relative risk reduction (RRR)
Relative risk subtracted from
Ex: RRR = 0.34 or 34%
Number needed to treat (NNT)
Number of patients that need to be treated to prevent 1 outcome
Reported as a whole number
Higher numbers = more patients need to be treated
Lower numbers = less patients need to be treated
1/ARR = 1/0.02 = 50
26. Practice Statin Placebo
Survival 91.8% 88.5%
Mortality 8.2% 11.5%
ARR 11.5% - 8.2% = 3.3%
RR 8.2 /11.5 = 0.71
RRR 3.3 /11.5 = 0.29 = 29% (OR 1-0.71)
NNT 1 /3.3 = 30 Statin Placebo
Survival 91.8% 88.5%
Mortality 8.2% 11.5%
ARR 11.5% - 8.2% = 3.3%
RR 8.2 /11.5 = 0.71
RRR 3.3 /11.5 = 0.29 = 29% (OR 1-0.71)
NNT 1 /3.3 = 30
27. SEARCHING THE MEDICAL LITERATURE
28. Medline/PubMed Database from the National Library of Medicine
Biomedical/medical literature
From 1950’s to present
>15,000,000 records
Indexes >5000 journals
Available via UIC library website
Linked to full-text if available - must access via UIC library to obtain
29. Steps to search Medline Access through http://library.uic.edu
Click “Databases A-Z”
Click on “PQ”
Click on
Type drug name in the search box and hit “Search”; numerous articles will appear
For a more specific search enter drug name with AND the disease state
To further limit the search, click “Advanced search”
30. Steps to search Medline Check the following boxes:
Humans
English
Clinical trial and/or randomized controlled trial
Click “Search” – there should be fewer hits
Clicking on the title of the article to see the abstract
To obtain the full-text article, click
You may be able to access the full-text online; if not, obtain it from the library
31. Key points Important to complete a Medline search as there may be more data published than in the dossier
Comparative trials (those that compare 1 drug to another similar drug) are valuable in establishing a place in therapy
Look for well designed trials with a large patient population
Article selection should be based on the quality of the study
Do not base your article selection on the outcomes
Only using positive outcomes creates bias
32. GOOD LUCK!