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IMPACT OF ANTENATAL DANGER-SIGN MOBILE ALERTS ON MATERNAL DANGER-SIGN RECOGNITION AMONG PREGNANT WOMEN IN NIGERIA

Format: MS WORD  |  Chapter: 1-5  |  Pages: 65  |  1 Users found this project useful  |  Price NGN5,000

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Impact of Antenatal Danger-Sign Mobile Alerts on Maternal Danger-Sign Recognition among Pregnant Women in Nigeria

 

Abstract

Recognition of maternal danger signs during pregnancy is an important component of antenatal care because early identification of warning symptoms can encourage pregnant women to seek timely professional healthcare and reduce delays in the management of obstetric complications. Maternal danger signs may include severe vaginal bleeding, severe abdominal pain, severe headache, blurred vision, convulsions, difficulty breathing, fever, reduced or absent fetal movement, and other symptoms requiring urgent assessment. Despite the importance of early recognition, some pregnant women in Nigeria may have limited knowledge of maternal danger signs because of inadequate health education, limited antenatal counselling, low health literacy, cultural beliefs, and restricted access to reliable maternal health information. Antenatal danger-sign mobile alerts provide an opportunity to deliver timely, repeated, and accessible information about important pregnancy warning signs through text messages, mobile applications, automated voice messages, or other mobile communication platforms. Against this background, this study investigates the impact of antenatal danger-sign mobile alerts on maternal danger-sign recognition among pregnant women in Nigeria. The study will be anchored on the Health Belief Model, Social Cognitive Theory, and Technology Acceptance Model. The Health Belief Model explains how pregnant women's perceptions of susceptibility to pregnancy complications, perceived severity of maternal danger signs, perceived benefits of recognizing warning symptoms, perceived barriers, and cues to action may influence their recognition of danger signs. Social Cognitive Theory emphasizes knowledge, self-efficacy, observational learning, reinforcement, and social support in developing appropriate maternal health behaviours. The Technology Acceptance Model explains how perceived usefulness and perceived ease of use may influence women's acceptance and utilization of mobile health alerts for receiving maternal health information. Collectively, these theoretical perspectives provide a suitable framework for explaining how mobile alerts may influence maternal danger-sign recognition among pregnant women in Nigeria. The study will adopt a quantitative analytical cross-sectional or quasi-experimental research design. The study population will comprise pregnant women attending selected antenatal clinics in hospitals and primary healthcare centres across Nigeria. A multistage sampling technique will be used to select states, local government areas, communities, healthcare facilities, antenatal clinics, and eligible pregnant women. Antenatal danger-sign mobile alerts will be assessed using indicators such as enrolment in the alert system, frequency of alerts, timing of messages, content of danger-sign information, use of text messages or voice alerts, mobile application notifications where available, clarity of messages, language accessibility, personalization, reminder frequency, and continued exposure throughout pregnancy. Maternal danger-sign recognition will be assessed using indicators such as knowledge of severe vaginal bleeding, severe abdominal pain, severe headache, blurred vision, convulsions, difficulty breathing, fever, reduced or absent fetal movement, leaking of fluid where appropriate, and knowledge of the need for urgent healthcare when danger signs occur. Data will be collected using structured questionnaires and appropriate maternal danger-sign knowledge assessment tools, together with mobile health programme records and antenatal clinic records where available. Descriptive statistics will be used to summarize participants' characteristics, exposure to mobile alerts, and levels of maternal danger-sign recognition. Inferential statistical techniques, including chi-square tests, t-tests, correlation analysis, and logistic or multiple regression analysis where appropriate, will be used to determine the impact of antenatal danger-sign mobile alerts on maternal danger-sign recognition. Where a quasi-experimental design is adopted, maternal danger-sign recognition scores before and after exposure to structured mobile alerts may be compared, while relevant demographic, educational, socioeconomic, obstetric, and healthcare-access factors are appropriately controlled. Diagnostic tests will also be conducted to assess the reliability, validity, and robustness of the findings. The study is expected to find that antenatal danger-sign mobile alerts have a significant positive impact on maternal danger-sign recognition among pregnant women in Nigeria. Pregnant women who receive regular and appropriately designed mobile alerts are expected to demonstrate better knowledge of maternal danger signs than women who receive routine antenatal health education without structured mobile reminders. Repeated exposure to concise and understandable messages may reinforce knowledge and improve women's ability to recognize potentially serious pregnancy complications. Mobile alerts may also provide timely reminders between antenatal visits, particularly for women who have limited opportunities for extended health education during clinic attendance. However, limited mobile phone ownership, poor network coverage, incorrect contact information, language barriers, low digital literacy, message fatigue, and limited access to antenatal services may reduce the effectiveness of mobile alerts. The study therefore expects accessible, culturally appropriate, timely, and well-designed antenatal danger-sign mobile alerts to contribute significantly to improved maternal danger-sign recognition among pregnant women in Nigeria. The study is expected to contribute to the literature on antenatal mobile health interventions, maternal danger-sign recognition, pregnancy health education, antenatal care, digital health, maternal health, obstetric emergency preparedness, and public health in Nigeria. The findings will provide useful information to the Federal Ministry of Health and Social Welfare, National Primary Health Care Development Agency, state ministries of health, hospitals, primary healthcare centres, antenatal care providers, midwives, nurses, digital health programmes, development partners, and policymakers regarding strategies for strengthening maternal health education. The study will also provide evidence-based recommendations for integrating mobile danger-sign alerts into routine antenatal care, developing culturally and linguistically appropriate maternal health messages, strengthening digital health platforms, improving mobile communication with pregnant women, and linking mobile alerts with timely referral and emergency obstetric care services across Nigeria.

Keywords: Antenatal danger-sign mobile alerts, maternal danger-sign recognition, pregnant women, mobile health, antenatal care, maternal health education, obstetric emergency preparedness, digital health, pregnancy complications, Nigeria, public health.

 

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IMPACT OF ANTENATAL DANGER-SIGN MOBILE ALERTS ON MATERNAL DANGER-SIGN RECOGNITION AMONG PREGNANT WOMEN IN NIGERIA

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