Making the most of common impact metrics
Promising approaches that need further study
Bibliographic Data
| ID | 15369755 |
|---|---|
| Authors | John Grove (0000-0003-2284-5744, Gates Foundation, corresponding author), Joseph Brown (0000-0002-3602-1351, Gates Foundation), Joseph W Brown, Philip Setel (0000-0002-9042-5699, Gates Foundation), Philip W Setel |
| Year | 2013 |
| Volume | 13 |
| Issue | Suppl 2 |
| Pages | S8-S8 |
| Publication date | 2013-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/1471-2458-13-s2-s8 |
| PMID | 23902745 |
| PMCID | PMC3684527 |
| OpenAlex | W2161622516 |
| Language | EN |
| References cited | 1 |
There is considerable value in exploring whether and how a limited set of common health metrics, such as the ones presented in this supplement, can produce valid and reliable estimates of impact for global health and family planning. Through a shared vocabulary of transparent data elements drawn from routine service statistics, population-level measures, and measures of proven effect from rigorous trials, such metrics could provide a view of collective impact sufficient to reliably explore scenarios, set priorities, and inform action
Biostatistics · Environmental health · Pathology · Public health · Food Security and Health in Diverse Populations · Global Maternal and Child Health · Global Public Health Policies and Epidemiology · Medicine · Epidemiology
| Highly cited | No |
|---|