Analysis of contraceptive use among homeless women in Kenya – a case of Nairobi county

Figures & data

Figure 1. Contraceptive Prevalence for women between 15–49 Years (Married or in a union).

Source: United Nations, Department of Economic and Social Affairs, Population Division (2017). Model-based estimates and projection of family planning indicators 2017. New York: United Nations

Figure 2. Unmet need for contraception among women between 15–49 years.

Source: United Nations, Department of Economic and Social Affairs, Population Division (2017). Model-based estimates and projection of family planning indicators 2017. New York: United Nations

Table 1. Descriptive Statistics

Variable	Observations	Mean Std. Dev.	Std. Dev	MIN	MAX
AGE	363	27.73829	8.681939	13	50
No of Children	363	2.261708	1.814717	0	9
AFB	295	19.12881	4.09459	1	29
Living with Partner	363	0.661157	0.47397	0	1
Drug use by respondent	361	1.132964	0.498937	1	3
Midwife Assistance	331	0.6827795	0.466099	0	1
Miscarriage/Abortion/stillbirth Incidence	360	0.1777778	0.382858	0	1
Child Planned	326	0.5766871	0.494844	0	1
Health facility delivery	320	0.79375	0.405246	0	1
Neonatal death Incidence	328	0.1707317	0.376849	0	1
Knowledge on Female sterilization	363	0.7272727	0.445977	0	1
Ever attended school	363	0.9834711	0.127674	0	1
Knowledge on Male sterilization	363	0.5068871	0.500643	0	1
Knowledge on IUD	363	0.8099174	0.392908	0	1
Knowledge of lactational amenorrhoea	363	0.7217631	0.448749	0	1
Contraceptive spending	363	0.1019284	0.302972	0	1
Education of Respondent	363	8.181818	4.135816	0	14
Unemployed respondent	339	0.339233	0.474149	0	1
Beggars	339	0.1622419	0.369218	0	1
Small Business holders	339	0.3834808	0.486953	0	1

Source: Authors Computation.

Table 2. Estimates of contraceptive use among homeless women in Kenya

	LOGIT	LOGISTIC	MARGINS
Variable	Coef.	Odd ratio	dy/dx
AGE	−0.021623 (0.052493)	0.978609 (0.05137)	−0.00159 (0.003863)
No of Children	0.1846318 (0.210066)	1.202775 (0.252662)	0.013585 (0.015495)
AFB	−0.1144442** (0.04823)	0.891862** (0.043015)	−0.00842** (0.003599)
Living with Partner	3.502741*** (0.875339)	33.20635*** (29.06683)	0.257721*** (0.058354)
Drug use by respondent	0.4416348 (0.395311)	1.555248 (0.614806)	0.032494 (0.029379)
Midwife assistance	−2.652877** (1.139783)	0.070448** (0.080296)	−0.19519** (0.076993)
MSA Incidence	−1.013127* (0.565214)	0.363082* (0.205219)	−0.07454* (0.039107)
Child Planned	−0.493612 (0.539273)	0.610418 (0.329182)	−0.03632 (0.038495)
Health Facility Delivery	3.259726*** (1.086456)	26.0424** (28.29392)	0.23984*** (0.069286)
Neonatal Death Incidences	0.356435 (0.542734)	1.428229 (0.775148)	0.026225 (0.040396)
Knowledge on Female Sterilization	−0.1563379 (0.780928)	0.85527 (0.667904)	−0.0115 (0.057596)
Ever Attended School	4.818764*** (1.335246)	123.8119*** (165.3195)	0.354549*** (0.098552)
Knowledge on Male Sterilization	0.0532173 (1.156315)	1.054659 (1.219518)	0.003916 (0.084987)
Knowledge on lactational amenorrhea	−2.975759*** (1.00998)	0.051009*** (0.051518)	−0.21895*** (0.06978)
Contraceptive spending	2.99928*** (0.81476)	20.07107*** (16.3531)	0.220678*** (0.065794)
Education by Respondent	−0.0241802 (0.050248)	0.97611 (0.049047)	−0.00178 (0.003781)
Unemployed	−1.667978** (0.850809)	0.188628** (0.160487)	−0.12272* (0.063868)
Beggars	−3.195127*** (0.745177)	0.040961*** (0.030523)	−0.23509*** (0.061659)
Small business holders	−0.7597672 (0.951844)	0.467775 (0.445249)	−0.0559 (0.072255)
_cons	1.42777(1.72448)	4.16939 (7.190028)
Overall fit of the model	Number of obs = 268	Number of obs = 268 Wald chi2(17)= 71.35 Prob > chi2 =0.0000 Pseudo R2 = 0.4090	Number of obs = 268 Wald chi2(17)= 71.35 Prob > chi2 =0.0000 Pseudo R2 = 0.4090

N/B: ***(1%), **(5%), *(10%)

Source: Authors Own Computation.

United Nations, Department of Economic and Social Affairs, Population Division. (2017). Model-based estimates and projection of family planning indicators 2017. United Nations.

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