Title |
Modeling health impact of global health programs implemented by Population Services International
|
---|---|
Published in |
BMC Public Health, June 2013
|
DOI | 10.1186/1471-2458-13-s2-s3 |
Pubmed ID | |
Authors |
Hongmei Yang, Susan Duvall, Amy Ratcliffe, David Jeffries, Warren Stevens |
Abstract |
Global health implementing organizations benefit most from health impact estimation models that isolate the individual effects of distributed products and services - a feature not typically found in intervention impact models, but which allow comparisons across interventions and intervention settings. Population Services International (PSI), a social marketing organization, has developed a set of impact models covering seven health program areas, which translate product/service distribution data into impact estimates. Each model's primary output is the number of disability-adjusted life-years (DALYs) averted by an intervention within a specific country and population context. This paper aims to describe the structure and inputs for two types of DALYs averted models, considering the benefits and limitations of this methodology. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Canada | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 79 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 17% |
Student > Ph. D. Student | 13 | 16% |
Researcher | 12 | 15% |
Student > Bachelor | 10 | 12% |
Student > Doctoral Student | 7 | 9% |
Other | 15 | 18% |
Unknown | 11 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 34% |
Social Sciences | 14 | 17% |
Nursing and Health Professions | 10 | 12% |
Agricultural and Biological Sciences | 3 | 4% |
Psychology | 3 | 4% |
Other | 8 | 10% |
Unknown | 16 | 20% |