Marcel Olde Rikkert
Biographic Data
| ID | 5495919 |
|---|---|
| NAME | Marcel Olde Rikkert |
| GIVEN NAMES | Marcel Olde |
| FAMILY NAME | Rikkert |
| SIGNATURE | RIKKERT M O |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Decision making under deep uncertainty for pandemic policy planning
Policymakers around the world were generally unprepared for the global COVID-19 pandemic. As a result, the virus has led to millions of cases and hundreds of thousands of deaths. Theoretically, the number of cases and deaths did not have to happen (as demonstrated by the results in a few countries). In this pandemic, as in other great disasters, policymakers are confronted with what policy analysts call Decision Making under Deep Uncertainty (DMD…
The Impact of Payment Reforms on the Quality and Utilisation of Healthcare for Patients With Multimorbidity
Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer’s disease scale
The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Defeating Alzheimer's disease and other dementias
Frailty in elderly people
Frailty in elderly people
Defeating Alzheimer's disease and other dementias
A Feasibility Study of a Social Robot Collecting Patient Reported Outcome Measurements from Older Adults
Obtaining EQ-5D-5L utilities from the disease specific quality of life Alzheimer’s disease scale
The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected
The Impact of Payment Reforms on the Quality and Utilisation of Healthcare for Patients With Multimorbidity
Decision making under deep uncertainty for pandemic policy planning
Policymakers around the world were generally unprepared for the global COVID-19 pandemic. As a result, the virus has led to millions of cases and hundreds of thousands of deaths. Theoretically, the number of cases and deaths did not have to happen (as demonstrated by the results in a few countries). In this pandemic, as in other great disasters, policymakers are confronted with what policy analysts call Decision Making under Deep Uncertainty (DMD…
Medicine (5 works) · Health Systems, Economic Evaluations, Quality of Life (4 works) · Computer Science (2 works) · Disease (2 works) · Gerontology (2 works) · Health care (2 works) · Political science (2 works) · Psychiatry (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 work)