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Mendeley readers
| Title |
Why equal treatment is not always equitable: the impact of existing ethnic health inequalities in cost-effectiveness modeling
|
|---|---|
| Published in |
Population Health Metrics, June 2014
|
| DOI | 10.1186/1478-7954-12-15 |
| Pubmed ID | |
| Authors |
Melissa McLeod, Tony Blakely, Giorgi Kvizhinadze, Ricci Harris |
| Abstract |
A critical first step toward incorporating equity into cost-effectiveness analyses is to appropriately model interventions by population subgroups. In this paper we use a standardized treatment intervention to examine the impact of using ethnic-specific (Māori and non-Māori) data in cost-utility analyses for three cancers. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 47 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Other | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Student > Ph. D. Student | 6 | 12% |
| Researcher | 5 | 10% |
| Other | 8 | 16% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 27% |
| Nursing and Health Professions | 9 | 18% |
| Economics, Econometrics and Finance | 4 | 8% |
| Social Sciences | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 11 | 22% |