| Title |
Innovative payer engagement strategies: will the convergence lead to better value creation in personalized medicine?
|
|---|---|
| Published in |
EPMA Journal, February 2017
|
| DOI | 10.1007/s13167-017-0078-6 |
| Pubmed ID | |
| Authors |
Ildar Akhmetov, Rostyslav V. Bubnov |
| Abstract |
As reimbursement authorities are gaining greater power to influence the prescription behavior of physicians, it remains critical for life science companies focusing on personalized medicine to develop "tailor-made" payer engagement strategies to secure reimbursement and assure timely patient access to their innovative products. Depending on the types of such engagement, pharmaceutical and diagnostic companies may benefit by obtaining access to medical and pharmacy claims data, getting invaluable upfront inputs on evidence requirements and clinical trial design, and strengthening trust by payers, therefore avoiding uncertainties with regards to pricing, reimbursement, and research and development reinvestment. This article aims to study the evolving trend of partnering among two interdependent, yet confronting, stakeholder groups-payers and producers-as well as to identify the most promising payer engagement strategies based on cocreation of value introduced by life science companies in the past few years. We analyzed the recent case studies from both therapeutic and diagnostic realms considered as the "best practices" in payer engagement. The last 5 years were a breakout period for deals between life science companies and reimbursement authorities in the area of personalized medicine with a number of felicitous collaborative practices established already, and many more yet to emerge. We suggest that there are many ways for producers and payers to collaborate throughout the product life cycle-from data exchange and scientific counseling to research collaboration aimed at reducing healthcare costs, addressing adherence issues, and diminishing risks associated with future launches. The presented case studies provide clear insights on how successful personalized medicine companies customize their state-of-the-art payer engagement strategies to ensure closer proximity with payers and establish longer-term trust-based relationships. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Ukraine | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ukraine | 1 | <1% |
| Unknown | 107 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 18% |
| Researcher | 17 | 16% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Bachelor | 8 | 7% |
| Other | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 32 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 17% |
| Economics, Econometrics and Finance | 10 | 9% |
| Social Sciences | 9 | 8% |
| Nursing and Health Professions | 8 | 7% |
| Business, Management and Accounting | 8 | 7% |
| Other | 19 | 18% |
| Unknown | 36 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2017.
All research outputs
#15,115,851
of 23,999,200 outputs
Outputs from EPMA Journal
#154
of 318 outputs
Outputs of similar age
#239,090
of 432,933 outputs
Outputs of similar age from EPMA Journal
#3
of 7 outputs
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