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INFLUENCE OF COMMUNITY-BASED TUBERCULOSIS SCREENING ON TUBERCULOSIS DETECTION AMONG HOUSEHOLD CONTACTS IN NIGERIA

Format: MS WORD  |  Chapter: 1-5  |  Pages: 65  |  6 Users found this project useful  |  Price NGN5,000

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Influence of Community-Based Tuberculosis Screening on Tuberculosis Detection among Household Contacts in Nigeria

 

Abstract

Tuberculosis (TB) remains an important public health challenge in Nigeria, with household contacts of individuals diagnosed with TB facing increased risk of infection and progression to active disease. Early identification of TB among household contacts is essential for prompt treatment, prevention of transmission, and reduction of TB-related morbidity and mortality. However, conventional facility-based approaches to TB screening may fail to identify cases promptly because of geographical barriers, transportation difficulties, limited awareness, stigma, financial constraints, and inadequate access to diagnostic services. Community-based tuberculosis screening provides an opportunity to take TB screening services closer to individuals who may otherwise have limited contact with healthcare facilities. Such screening may include symptom assessment, contact tracing, sputum collection, chest radiography where available, referral for diagnostic testing, and follow-up of household contacts. Tuberculosis detection refers to the identification and confirmation of TB infection or active TB disease among individuals screened for the condition. Household contacts refer to persons who live in or spend substantial time within the same household as an individual diagnosed with TB. Against this background, this study investigates the influence of community-based tuberculosis screening on tuberculosis detection among household contacts in Nigeria. The study will be anchored on Andersen's Behavioral Model of Health Services Use, the Health Belief Model, and the Health Systems Framework. Andersen's Behavioral Model explains healthcare utilization through predisposing, enabling, and need-related factors and provides a framework for understanding how improved access to TB screening may influence disease detection. The Health Belief Model explains health-related behaviour through perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action and provides a basis for understanding household contacts' willingness to participate in TB screening. The Health Systems Framework emphasizes service delivery, health workforce, health information, diagnostic technologies, financing, and accessibility as important components of effective disease-control programmes. Collectively, these theoretical perspectives provide a suitable framework for explaining how community-based TB screening may influence TB detection among household contacts in Nigeria. The study will adopt a quantitative cross-sectional research design. Data will be collected from household contacts of individuals diagnosed with tuberculosis who reside in selected communities across Nigeria. A multistage sampling technique will be used to select states, local government areas, communities, TB treatment centres, index TB cases, and eligible household contacts. Community-based TB screening will be assessed using indicators such as availability of community screening activities, frequency of household visits, contact tracing, symptom screening, sputum collection, availability of trained screening personnel, referral for diagnostic testing, screening coverage, follow-up activities, and accessibility of screening services. TB detection will be assessed using indicators such as identification of presumptive TB cases, completion of diagnostic evaluation, laboratory-confirmed TB cases, time from screening to diagnosis, and referral completion for individuals requiring further assessment. Structured questionnaires, community health-worker records, TB screening registers, laboratory records, and TB treatment registers will be used for data collection where available. Descriptive statistics will be used to summarize participants' characteristics, community screening coverage, and TB detection patterns. Inferential statistical techniques, including chi-square tests, correlation analysis, and multiple regression analysis, will be used to determine the influence of community-based TB screening on TB detection. Diagnostic tests will also be conducted to assess the reliability of research instruments and the robustness of the findings. The study is expected to find that community-based tuberculosis screening has a significant positive influence on tuberculosis detection among household contacts in Nigeria. Household contacts who receive systematic community-based screening are expected to have a higher likelihood of being identified and appropriately evaluated for TB than contacts who are not reached through active community screening. Household visits and contact tracing may facilitate early identification of TB symptoms and reduce geographical and transportation barriers to diagnostic services. Community-based screening may also improve awareness of TB symptoms and encourage household contacts to seek further evaluation when symptoms are identified. Prompt referral and diagnostic testing may contribute to earlier confirmation of TB cases and initiation of treatment. Conversely, inadequate screening coverage, shortages of trained personnel, limited diagnostic capacity, inadequate testing supplies, stigma, poor follow-up, and weak referral systems may reduce the effectiveness of community-based screening. However, community-based screening alone may not fully determine TB detection because the severity of symptoms, diagnostic capacity, household contact characteristics, healthcare-seeking behaviour, and availability of laboratory services may also influence case identification. The study is expected to contribute to the literature on community-based tuberculosis screening, tuberculosis detection, household contact investigation, infectious disease control, epidemiology, community health, primary healthcare, and public health in Nigeria. The findings will provide useful information to the Federal Ministry of Health and Social Welfare, National Tuberculosis and Leprosy Control Programme, Nigeria Centre for Disease Control and Prevention, state ministries of health, TB treatment centres, local government health authorities, community health workers, development partners, and policymakers regarding strategies for strengthening TB case detection. The study will also provide evidence-based recommendations for expanding community-based TB screening, strengthening household contact tracing, increasing the availability of trained community health workers, improving access to diagnostic services, strengthening referral and follow-up systems, reducing TB-related stigma, and integrating community-based screening with routine tuberculosis prevention and control programmes across Nigeria.

Keywords: Community-based tuberculosis screening, tuberculosis detection, household contacts, Nigeria, tuberculosis, TB screening, contact tracing, infectious disease control, community health, primary healthcare, epidemiology, public health.

 

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