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EFFECT OF NEWBORN METABOLIC SCREENING ON EARLY DETECTION OF CONGENITAL DISORDERS IN NIGERIA

Format: MS WORD  |  Chapter: 1-5  |  Pages: 65  |  12 Users found this project useful  |  Price NGN5,000

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Effect of Newborn Metabolic Screening on Early Detection of Congenital Disorders in Nigeria

 

Abstract

Congenital and inherited metabolic disorders remain an important but often under-detected public health concern among newborns in Nigeria. Conditions such as phenylketonuria, congenital hypothyroidism, sickle cell disease, galactosaemia, glucose-6-phosphate dehydrogenase deficiency, and other inherited or metabolic disorders may not produce obvious symptoms immediately after birth but can result in severe complications when diagnosis and treatment are delayed. Early detection of congenital disorders is essential because timely intervention may prevent irreversible neurological damage, developmental problems, severe illness, disability, and premature death. Newborn metabolic screening provides an opportunity to identify selected congenital and inherited conditions shortly after birth through appropriate laboratory screening procedures before significant clinical symptoms develop. Screening may facilitate early referral, confirmatory testing, treatment, dietary management, medication, counselling, and long-term monitoring. However, the availability and coverage of newborn metabolic screening services remain limited in many Nigerian settings because of inadequate awareness, limited laboratory capacity, shortage of trained personnel, high screening costs, inadequate screening equipment, poor sample collection and transportation systems, and weak referral and follow-up mechanisms. Against this background, this study investigates the effect of newborn metabolic screening on early detection of congenital disorders in Nigeria. The study will be anchored on Screening Theory, the Health Systems Framework, and the Health Belief Model. Screening Theory provides a framework for identifying diseases or health conditions at an early stage among newborns who may not yet show obvious clinical symptoms, thereby facilitating timely intervention and improved health outcomes. The Health Systems Framework emphasizes service delivery, health workforce, health information, medical products and technologies, financing, and governance as essential components of effective newborn screening programmes. The Health Belief Model explains how parents' or caregivers' perceptions of the susceptibility and severity of congenital disorders, perceived benefits of newborn screening, perceived barriers, and cues to action may influence acceptance and utilization of screening services. Collectively, these theoretical perspectives provide a suitable framework for explaining how newborn metabolic screening may influence the early detection of congenital disorders in Nigeria. The study will adopt a quantitative cross-sectional analytical or quasi-experimental research design. The study population will comprise newborns delivered in selected hospitals, maternity centres, and primary healthcare facilities across Nigeria. A multistage sampling technique will be used to select states, local government areas, healthcare facilities, newborns, and their mothers or caregivers. Newborn metabolic screening will be measured using indicators such as availability of screening services, screening coverage, timing of screening, number of newborns screened, availability of appropriate laboratory equipment, availability of trained personnel, types of metabolic or congenital conditions screened, sample collection procedures, laboratory turnaround time, and referral arrangements. Early detection of congenital disorders will be assessed using indicators such as abnormal screening results, confirmed diagnoses following screening, age at detection, number of congenital disorders identified, referral for confirmatory testing, initiation of appropriate treatment, and follow-up of identified cases. Data will be collected using structured questionnaires, newborn screening registers, laboratory records, medical records, referral registers, healthcare facility records, and relevant programme documents. Descriptive statistics will be used to summarize newborn characteristics, screening coverage, screening outcomes, and patterns of congenital disorder detection. Inferential statistical techniques, including chi-square tests, correlation analysis, and logistic or multiple regression analysis, will be used to determine the effect of newborn metabolic screening on early detection of congenital disorders. Where appropriate, detection rates before and after implementation of newborn metabolic screening programmes may be compared to determine changes associated with the intervention. Diagnostic tests will also be conducted to assess the reliability, validity, and robustness of the findings. The study is expected to find that newborn metabolic screening has a significant positive effect on the early detection of congenital disorders in Nigeria. Newborns who receive appropriate metabolic screening are expected to have a higher likelihood of having congenital or inherited disorders identified at an early stage than newborns who do not receive screening. Systematic screening may facilitate the identification of conditions that could otherwise remain undiagnosed until symptoms become severe. Early detection may allow timely confirmatory testing, treatment, dietary modification where appropriate, specialist referral, genetic counselling, and long-term monitoring. Such interventions may reduce the risk of severe complications, developmental impairment, disability, and preventable mortality associated with delayed diagnosis. Conversely, inadequate screening coverage, limited laboratory capacity, high screening costs, shortage of trained personnel, delays in laboratory testing, poor sample transportation, and weak referral systems may reduce the effectiveness of newborn metabolic screening programmes. The study therefore expects accessible, affordable, and well-organized newborn metabolic screening to contribute significantly to early detection and management of congenital disorders in Nigeria. The study is expected to contribute to the literature on newborn metabolic screening, congenital disorders, inherited diseases, neonatal health, early disease detection, genetic health, newborn healthcare, preventive medicine, 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, teaching hospitals, maternity hospitals, primary healthcare centres, paediatricians, neonatologists, laboratory scientists, genetic health programmes, development partners, and policymakers regarding strategies for strengthening newborn screening services. The study will also provide evidence-based recommendations for expanding newborn metabolic screening coverage, improving laboratory capacity, increasing availability of appropriate screening equipment, strengthening training of healthcare and laboratory personnel, improving sample collection and transportation systems, reducing screening costs, strengthening referral and confirmatory testing pathways, improving parental awareness, and establishing effective follow-up systems for newborns identified with congenital disorders across Nigeria.

Keywords: Newborn metabolic screening, early detection, congenital disorders, newborns, inherited disorders, neonatal health, newborn screening, metabolic disorders, genetic health, Nigeria, preventive healthcare, public health.

 

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EFFECT OF NEWBORN METABOLIC SCREENING ON EARLY DETECTION OF CONGENITAL DISORDERS IN NIGERIA

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