Abstract: Geographic Disparity: Poor Place, Poor People, Poor Health (Society for Social Work and Research 15th Annual Conference: Emerging Horizons for Social Work Research)

14499 Geographic Disparity: Poor Place, Poor People, Poor Health

Schedule:
Sunday, January 16, 2011: 11:15 AM
Meeting Room 7 (Tampa Marriott Waterside Hotel & Marina)
* noted as presenting author
Gyanesh Lama, PhD Student, Washington University in Saint Louis, St. Louis, MO
Purpose: Since the 1970s, it has become increasingly clear that geography plays a significant role in determining individuals' access to needed health services. However, this work has been conducted among welfare population in developed countries. The extent to which geographic disparities exist among poor people in developing countries and the factors that contribute to such disparities are currently unknown. We use data from a national sample of women in Nepal to quantify the magnitude and predictors of geographic disparities in child deaths among indigenous women in Nepal.

Methods: We used data from the Demographic and Health Survey Nepal 2006 (N=10,793), the national study of population and health containing information on PSU level geographic variables. We used multilevel logistic regression to obtain probabilities of child deaths among indigenous women across 260 geographic communities. We used these probabilities to construct a GIS map to graphically represent changes in, and the statistical significance of, probability of child deaths conditional upon mothers' characteristics, household characteristics, and geographic characteristics.

Results: Controlling for demographics and other covariates, survey participants in our sample displayed statistically significant variation in probabilities of child deaths, ranging between 0% (in PSU 2705) and 64% (in PSU 6802). Controlling for individual level poverty and other characteristics did not bridge the gap that existed between different geographic communities.

Implications: People in Nepal display over 60-folds variations in probabilities of health problems. Such variation can be explained neither by individual characteristics, nor by local development indicators. Attention to the intrinsic development practice is necessary to determine if these variations are reflective of the institutional characteristics of the communities in which the vulnerable population reside.

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