Using Address Data to Track Household Financial Burden of Disease
Bibliographic Data
| ID | 9103625 |
|---|---|
| Authors | Lauren Hersch Nicholas (0000-0003-0759-2849, National Institute on Aging, corresponding author) |
| Year | 2023 |
| Volume | 61 |
| Issue | 12 |
| Pages | S92-S94 |
| Publication date | 2023-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000001909 |
| PMID | 37963026 |
| OpenAlex | W4388668453 |
| Language | EN |
| Citations received | 1 |
| References cited | 12 |
The financial burden of illness cannot be correctly characterized without accounting for the impacts across healthy and sick members of a household. Currently, we have very few large, nationally representative data resources to facilitate such work. This paper describes ways to move the field forward through a novel application of address data
Actuarial science · Burden of disease · Business · Disease · Disease burden · Field (mathematics) · Track (disk drive) · Work (physics) · Computer Science · Economic and Financial Impacts of Cancer · Finance · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |