The proportion of children with age-appropriate immunization ranged from 6%to75%5% and was associated with factors such as ethnicity, residence, poverty, or vaccine type [ 26].
The models controlled for education level, marital status, type of place of residence, duration of residence, poverty status, parity, and type of facility where services were sought.
Because we want to disaggregate the data by age and place of residence our poverty estimates are slightly different than the official poverty figures published by INEI and show in the last column of the table.
For instance, illiteracy level, polygamous marriage, early marriage (teenage pregnancy), poor utilization of modern health facility, proportion of rural residence and poverty are predominantly higher in the north than the south [ 2, 4, 8].
After adjusting for age and place of residence, greater poverty was associated with lower uptake of HTC and a prior history of testing was associated with higher levels of HTC.
There were, however, significant variations in the distribution of women from voucher and non-voucher sites by age, highest education level, type of place of residence, and poverty status in both surveys.
Evidence shows a consistent relationship between residence in poverty-stricken (Collins et al. 1997; O'Campo et al. 1997; Papacek et al. 2002), segregated (Guest et al. 1998; Laveist 1993) neighborhoods and poor birth outcomes.
Models include city residents only (poverty level for customer residence could not be determined for non-city residents).
Emergency CRC outcomes are associated with high poverty residence among African Americans in this population-based study, potentially contributing to observed disparities in CRC morbidity and mortality.
More recent studies confirm that these differences persist [ 15, 43, 46], and nationwide data for 2004 clearly demonstrate that chronic malnutrition (stunting) in children is closely related to poverty, residence in rural and highland areas, and indigenous ethnicity [ 47].
These results are consistent with the findings of McClellan et al. [ 15], who emphasized patients' socioeconomic status as a major predictor of access to nephrology care, and related geographic variation in care to zip codes of residence associated with poverty.
