Title |
Equity monitoring for social marketing: use of wealth quintiles and the concentration index for decision making in HIV prevention, family planning, and malaria programs
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Published in |
BMC Public Health, June 2013
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DOI | 10.1186/1471-2458-13-s2-s6 |
Pubmed ID | |
Authors |
Nirali M Chakraborty, Rebecca Firestone, Nicole Bellows |
Abstract |
The majority of social marketing programs are intended to reach the poor. It is therefore essential that social marketing organizations monitor the health equity of their programs and improve targeting when the poor are not being reached. Current measurement approaches are often insufficient for decision making because they fail to show a program's ability to reach the poor and demonstrate progress over time. Further, effective program equity metrics should be benchmarked against a national reference population and consider exposure, not just health outcomes, to measure direct results of implementation. This study compares two measures of health equity, concentration indices and wealth quintiles, using a defined reference population, and considers benefits of both measures together to inform programmatic decision making. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
South Sudan | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 1% |
Bangladesh | 1 | 1% |
Burkina Faso | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 95 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 19% |
Student > Master | 19 | 19% |
Student > Ph. D. Student | 10 | 10% |
Student > Bachelor | 9 | 9% |
Lecturer | 4 | 4% |
Other | 19 | 19% |
Unknown | 20 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 19% |
Social Sciences | 15 | 15% |
Nursing and Health Professions | 12 | 12% |
Economics, Econometrics and Finance | 7 | 7% |
Agricultural and Biological Sciences | 6 | 6% |
Other | 18 | 18% |
Unknown | 23 | 23% |