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X Demographics
Mendeley readers
| Title |
Diagnosis Confirmation Model: A Value-Based Pricing Model for Inpatient Novel Antibiotics
|
|---|---|
| Published in |
The Journal of Law, Medicine & Ethics, January 2021
|
| DOI | 10.1177/1073110518782917 |
| Pubmed ID | |
| Authors |
Ka Lum, Taimur Bhatti, Silas Holland, Mark Guthrie, Stephanie Sassman |
| Abstract |
The Diagnosis Confirmation Model (DCM) includes a dual-pricing mechanism designed to support value-based pricing of novel antibiotics while improving the alignment of financial incentives with their optimal use in patients at high risk of drug-resistant infections. DCM is a market-based model and complementary to delinked models. Policymakers interested in stimulating antibiotic innovation could consider tailoring the DCM to their reimbursement systems and incorporating it into the suite of incentives to improve the economics of antibiotics. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 25% |
| Spain | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 23% |
| Researcher | 5 | 14% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 5 | 14% |
| Medicine and Dentistry | 4 | 11% |
| Nursing and Health Professions | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
| Agricultural and Biological Sciences | 3 | 9% |
| Other | 6 | 17% |
| Unknown | 11 | 31% |