Larissa Jennings1, Adetayo Omoni2, Akunle Akerele3, Yisa Ibrahim4, Ekpenyong Ekanem5. 1. Johns Hopkins Bloomberg School of Public Health, Department of International Health, 615N. Wolfe Street, Room E5038, Baltimore, MD 21205, USA; Abt Associates, Inc., International Health Division, Monitoring and Evaluation, 4550 Montgomery Ave, Suite 800N, Bethesda, MD 20814, USA. Electronic address: ljenning@jhsph.edu. 2. Abt Associates, Inc., International Health Division, Monitoring and Evaluation, 4550 Montgomery Ave, Suite 800N, Bethesda, MD 20814, USA; Partnership for Transforming Health Systems II (PATH2), Monitoring and Evaluation, 37 Panama Street, IBB Way, Maitama, Abuja, Nigeria. Electronic address: adetayo_omoni@abtassoc.com. 3. Partnership for Transforming Health Systems II (PATH2), Monitoring and Evaluation, 37 Panama Street, IBB Way, Maitama, Abuja, Nigeria. Electronic address: a.akerele@paths2.org. 4. Partnership for Transforming Health Systems II (PATH2), Monitoring and Evaluation, 37 Panama Street, IBB Way, Maitama, Abuja, Nigeria. Electronic address: i.yisa@paths2.org. 5. Abt Associates, Inc., International Health Division, Monitoring and Evaluation, 4550 Montgomery Ave, Suite 800N, Bethesda, MD 20814, USA; Partnership for Transforming Health Systems II (PATH2), Monitoring and Evaluation, 37 Panama Street, IBB Way, Maitama, Abuja, Nigeria. Electronic address: ekpenyong_ekanem@abtassoc.com.
Abstract
BACKGROUND: Mobile communication technologies may reduce maternal health disparities related to cost, distance, and infrastructure. However, the ability of mHealth initiatives to accelerate maternal health goals requires in part that women with the greatest health needs have access to mobile phones. OBJECTIVE: This study examined if women with limited mobile phone access have differential odds of maternal knowledge and health service utilization as compared to female mobile phone users who are currently eligible to participate in maternal mHealth programs. METHODS: Using household survey data from Nigeria, multivariable logistic regressions were used to examine the odds of maternal knowledge and service utilization by mobile phone strata. RESULTS: Findings showed that in settings with unequal access to mobile phones, mHealth interventions may not reach women who have the poorest maternal knowledge and care-seeking as these women often lacked mobile connectivity. As compared to mobile users, women without mobile phone access had significantly lower odds of antenatal care utilization (OR=0.48, 95%CI: 0.36-0.64), skilled delivery (OR=0.56, 95%CI: 0.45-0.70), and modern contraceptive use (OR=0.50, 95%CI: 0.33-0.76) after adjusting for demographic characteristics. They also had significantly lower knowledge of maternal danger signs (OR=0.69, 95%CI: 0.53-0.90) and knowledge of antenatal (OR=0.46, 95%CI: 0.36-0.59) and skilled delivery care benefits (OR=0.62, 95%CI: 0.47-0.82). No differences were observed by mobile phone strata in uptake of emergency obstetric care, postnatal services, or breastfeeding. CONCLUSIONS: As maternal mHealth strategies are increasingly utilized, more efforts are needed to improve women's access to mobile phones and minimize potential health inequities brought on by health systems and technological barriers in access to care.
BACKGROUND: Mobile communication technologies may reduce maternal health disparities related to cost, distance, and infrastructure. However, the ability of mHealth initiatives to accelerate maternal health goals requires in part that women with the greatest health needs have access to mobile phones. OBJECTIVE: This study examined if women with limited mobile phone access have differential odds of maternal knowledge and health service utilization as compared to female mobile phone users who are currently eligible to participate in maternal mHealth programs. METHODS: Using household survey data from Nigeria, multivariable logistic regressions were used to examine the odds of maternal knowledge and service utilization by mobile phone strata. RESULTS: Findings showed that in settings with unequal access to mobile phones, mHealth interventions may not reach women who have the poorest maternal knowledge and care-seeking as these women often lacked mobile connectivity. As compared to mobile users, women without mobile phone access had significantly lower odds of antenatal care utilization (OR=0.48, 95%CI: 0.36-0.64), skilled delivery (OR=0.56, 95%CI: 0.45-0.70), and modern contraceptive use (OR=0.50, 95%CI: 0.33-0.76) after adjusting for demographic characteristics. They also had significantly lower knowledge of maternal danger signs (OR=0.69, 95%CI: 0.53-0.90) and knowledge of antenatal (OR=0.46, 95%CI: 0.36-0.59) and skilled delivery care benefits (OR=0.62, 95%CI: 0.47-0.82). No differences were observed by mobile phone strata in uptake of emergency obstetric care, postnatal services, or breastfeeding. CONCLUSIONS: As maternal mHealth strategies are increasingly utilized, more efforts are needed to improve women's access to mobile phones and minimize potential health inequities brought on by health systems and technological barriers in access to care.
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