Use of large-scale HRQoL datasets to generate individualised predictions and inform patients about the likely benefit of surgery
Bibliographic Data
| ID | 15301044 |
|---|---|
| Authors | Nils Gutacker (0000-0002-2833-0621, University of York, corresponding author), Andrew Street (0000-0002-2540-0364, University of York) |
| Year | 2017 |
| Volume | 26 |
| Issue | 9 |
| Pages | 2497-2505 |
| Publication date | 2017-05-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality of Life Research (JOURNAL) |
| Journal identifiers | ISSN: 0962-9343 • E-ISSN: 1573-2649 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11136-017-1599-0 |
| PMID | 28567601 |
| OpenAlex | W2618424788 |
| Language | EN |
| References cited | 26 |
Patients are heterogeneous in their expected benefit from surgery, and decision aids should reflect this. Large administrative datasets on HRQoL can be used to generate the required individualised predictions to inform patients
Abdominal surgery · EQ-5D · Groin · Health related quality of life · Hernia · Hernia repair · Hip replacement · Homogeneous · Knee replacement · Orthopedic surgery · Physical therapy · Preference · Quality of life (healthcare · Statistics · Health Systems, Economic Evaluations, Quality of Life · Healthcare cost, quality, practices · Hip and Femur Fractures · Medicine · Nursing · Internal Medicine · Surgery
| Citation velocity | historical |
|---|---|
| Highly cited | No |