Michael O Harhay1,2, Mary C Smith Fawzi3, Sacha Jeanneret4, Damascène Ndayisaba4, William Kibaalya4, Emily A Harrison5, Dylan S Small6. 1. Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, 19146, USA. mharhay@upenn.edu. 2. University of Pennsylvania, 708 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA. mharhay@upenn.edu. 3. Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, 02115, USA. 4. Franҫois-Xavier Bagnoud International, Geneva, Switzerland. 5. Department of the History of Science, Harvard University, Cambridge, MA, 02138, USA. 6. Department of Statistics, Wharton School, University of Pennsylvania, Philadelphia, PA, 19146, USA.
Abstract
OBJECTIVES: We evaluate the three-year community-based FXBVillage poverty-alleviation model, which provides extremely poor families with sustained social support and graduated material support for education, healthcare, housing, nutrition, and income-generation. METHODS: We combine a pre/post analysis of participant households in Rwanda (n = 912) and Uganda (n = 628) with construction and assessment of a combined multivariable household wealth index comparing FXBVillage data with national Demographic Health Surveys. RESULTS: Many FXBVillage households shifted to higher household wealth quintiles. This shift was particularly strong in Rwanda. Increases among relevant household characteristics included (in Rwanda/Uganda): ≥3 meals/day (5-88%)/(44-86%), school attendance 5-17 years (79-97%)/(64-89%), adequate school supplies (7-97%)/(4-71%), and communal financial support if needed (27-98%)/(29-87%). Universal bednet ownership and water treatment was nearly attained; vaccine coverage was not, especially in Uganda. CONCLUSIONS: The model likely supports poverty-alleviation among participants. The variability of improvements, across indicators and countries, highlights the need for better understanding of interactions within programs and between programs and implementation settings, as well as how these interactions matter to poverty-reduction strategies.
OBJECTIVES: We evaluate the three-year community-based FXBVillage poverty-alleviation model, which provides extremely poor families with sustained social support and graduated material support for education, healthcare, housing, nutrition, and income-generation. METHODS: We combine a pre/post analysis of participant households in Rwanda (n = 912) and Uganda (n = 628) with construction and assessment of a combined multivariable household wealth index comparing FXBVillage data with national Demographic Health Surveys. RESULTS: Many FXBVillage households shifted to higher household wealth quintiles. This shift was particularly strong in Rwanda. Increases among relevant household characteristics included (in Rwanda/Uganda): ≥3 meals/day (5-88%)/(44-86%), school attendance 5-17 years (79-97%)/(64-89%), adequate school supplies (7-97%)/(4-71%), and communal financial support if needed (27-98%)/(29-87%). Universal bednet ownership and water treatment was nearly attained; vaccine coverage was not, especially in Uganda. CONCLUSIONS: The model likely supports poverty-alleviation among participants. The variability of improvements, across indicators and countries, highlights the need for better understanding of interactions within programs and between programs and implementation settings, as well as how these interactions matter to poverty-reduction strategies.
Authors: Alix Peterson Zwane; Jonathan Zinman; Eric Van Dusen; William Pariente; Clair Null; Edward Miguel; Michael Kremer; Dean S Karlan; Richard Hornbeck; Xavier Giné; Esther Duflo; Florencia Devoto; Bruno Crepon; Abhijit Banerjee Journal: Proc Natl Acad Sci U S A Date: 2011-01-18 Impact factor: 11.205
Authors: Agnes Binagwaho; Cameron T Nutt; Parfait Uwaliraye; Claire M Wagner; Jean Pierre Nyemazi Journal: BMC Health Serv Res Date: 2013-05-31 Impact factor: 2.655