Closing the poor-rich gap in contraceptive use in urban Kenya: are family planning programs increasingly reaching the urban poor?

Table 2 Logistic regression models (coefficients and p-value) on trends and inequities in modern contraceptive use: Urban Kenya - 1993, 1998, 2003 and 2008/09

	Model 1			Model 2			Model 3
	Coefficient	P-value		Coefficient	P-value		Coefficient	P-value
Survey year [Ref: 2003]
1993	−0.155	0.217		−0.438	0.069	†	−0.152	0.407
1998	−0.044	0.703		−0.101	0.624		0.166	0.306
2008/09	0.275	0.005	**	0.487	0.003	**	0.474	0.001	**
Household wealth [Ref: Poor]
Middle	0.414	0.000	***	0.378	0.020	*
Rich	0.446	0.000	***	0.533	0.002	**
Woman’s education [Ref: Primary]
None	−0.774	0.000	***				−0.637	0.030	*
Secondary +	0.529	0.000	***				0.720	0.000	***
Interaction Wealth-Survey time
Middle-1993				0.274	0.376
Middle-1998				0.162	0.541
Middle-2008/09				−0.096	0.661
Rich-1993				0.449	0.142
Rich-1998				0.006	0.983
Rich-2008/09				−0.529	0.018	*
Interaction Education-Survey time
None-1993							0.011	0.981
None-1998							−0.175	0.697
None-2008/09							−0.345	0.406
Secondary + −1993							0.002	0.994
Secondary + −1998							−0.385	0.046	*
Secondary + −2008/09							−0.338	0.042	*

†p < .10; *p < .05; **p < .01; ***p < .001.
Model 1 controls for religion, region (province), and women’s age, number of living children and fertility preferences (coefficients not shown).
Model 2 adds the interaction of household wealth and survey time to Model 1 (Coefficients of interest are in bold).
Model 3 adds the interaction of woman’s education and survey time to Model 1 (Coefficients of interest are in bold).

ISSN: 1475-9276