Family and socioeconomic risk factors for undernutrition among children aged 6 to 23 months in Ibadan, Nigeria

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Study Justification:
– Child undernutrition is a major public health problem in Nigeria and other Sub-Saharan African countries.
– Few analytical studies have quantified the role of risk factors in undernutrition among children.
– This study aims to determine the socio-economic and family related risk factors for undernutrition among children in Ibadan, Nigeria.
Highlights:
– Maternal factors associated with undernutrition include low level of education, low monthly income, and polygamous marriage.
– Socio-economic factors associated with undernutrition include residence in a high density area, living in a single room apartment, and low weekly expenditure on food.
– Children’s characteristics associated with undernutrition include incomplete immunization, recent episodes of diarrhea and acute respiratory infection.
– The significant risk factors on multivariate analysis were low maternal monthly income, low monthly household food expenditure, residence in a one room apartment, higher birth order, and incomplete immunization of the child.
Recommendations:
– A multidisciplinary approach is needed to develop preventive strategies for child undernutrition.
– Interventions should focus on improving maternal education, increasing household income, improving housing conditions, promoting complete immunization, and preventing common childhood illnesses.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation of interventions.
– Primary Health Care Centers: Provide primary healthcare services and implement interventions at the community level.
– Non-Governmental Organizations: Support implementation of interventions and provide resources.
– Community Leaders: Engage the community and promote awareness and participation in interventions.
Cost Items:
– Education programs for mothers: Training materials, facilitators’ fees, and transportation costs.
– Income generation programs: Start-up capital, training, and monitoring costs.
– Housing improvement programs: Construction materials, labor costs, and supervision fees.
– Immunization campaigns: Vaccines, transportation, and outreach activities.
– Health education programs: Materials, training, and community engagement activities.
Note: The actual cost will depend on the specific interventions and implementation strategies chosen.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a case-control study with a large sample size. The study used a semi-structured questionnaire to collect data on various risk factors for undernutrition among children. Bivariate and multivariate analyses were conducted to identify significant risk factors. However, to improve the evidence, it would be helpful to provide more details on the methodology, such as the sampling technique used and the response rate. Additionally, including information on the statistical tests used in the analyses would enhance the transparency and replicability of the study.

Introduction: Child undernutrition is a major public health problem in Nigeria and other Sub-Saharan African countries. However, few analytical studies have quantified the role of risk factors. This study was conducted to determine the socio-economic and family related risk factors for undernutrition among children in Ibadan, Nigeria. Methods: A case-control study was conducted among children100 cases and 200 controls aged 6-23 months. A semi-structured interviewer- administered questionnaire was used to obtain information on socio-economic status, infant feeding practices of the mothers, children’s immunization status and recent episodes of common childhood illnesses. Bivariate and multivariate analyses were conducted to identify the risk factors. Results: On bivariate analysis, the maternal factors associated with undernutrition were maternal level of education below secondary level, monthly income below $20 and polygamous marriage. Socio-economic factors significantly associated with malnutrition were residence in a high density area, family accommodation in a single room apartment and family weekly expenditure on food below $55. Children’s characteristics associated with child malnutrition included incomplete immunization for age, recent episodes of diarrhoea and acute respiratory infection. The significant risk factors on multivariate analysis were maternal monthly income <$20, monthly household food expenditure <$55, residence in a one room apartment, higher birth order and incomplete immunization of the child. Conclusion: The multiplicity of risk factors identified is indicative of the need for a multidisciplinary approach in developing preventive strategies child undernutrition. © Eme Owoaje et al.

Oni Memorial Children's Hospital is a 60-bed paediatric specialist facility in Ibadan, southwest Nigeria. The hospital provides preventive and curative health services for children from varying socio-economic classes. It also serves as a referral hospital for primary health care centres and other secondary health centres in the state. On average, about 2,000 children are seen in the hospital out-patient clinic severy month. This was a case control study among children 6 to 23 months of age. Nutritional status was defined based on the American National Center for Health Statistics (NCHS) standards.[12] All the new cases of underweight children i.e. with weight-for-age<2 standard deviations from the median weight-for-age of the reference population the eligible age group who presented at the Nutrition Clinic within the period of data collection (6 weeks) were recruited as cases until the desired number was attained. Controls were children in the target age group who were not underweight i.e. weight-for-age values equal or above 2 standard deviations from the median weight-for-age of the reference population, who presented at the Immunization clinic and the Infant welfare clinic. Children who had underlying conditions which could lead to the faltering of growth, such as chronic diseases, congenital malformations and chromosomal abnormalities were excluded from the study. Using the formula for case control studies, [13] The sample size was calculated based on the proportion of Nigerian mothers with no formal education(50% based on findings of the 2003 NDHS), a ratio of one case to two controls, power of 80%,significance level of 5% (95% confidence interval) and an odds ratio of two. A minimum sample size of 99 and 198 for cases and controls respectively was obtained, hence 100 cases: 200 controls. Each case was matched by age and sex with two controls. An interviewer administered semi-structured questionnaire was used to interview the mothers of the children who were selected to participate in the study. Data was collected on the family social and demographic characteristics, household characteristics, infant feeding practices, immunization history and recent episodes of acute illnesses in the children. The questionnaire was administered in English or Yoruba depending on the respondents’ preference. Weight: weight measurements were taken to the nearest 0.1kg using Salter 914WHLKR baby scale. The scale was checked before each weighing to ensure that the mark returned to zero. The children were weighted without clothes on and weights were taken in kilograms. Each child was weighed twice. Length: measurement of supine or recumbent length was taken to the nearest 0.1cm using a portable calibrated board, the child's growth chart. The sole of the baby's feet were held firmly against the wall at the zero point while the length was marked off on the chart at the crown of the head. Data was entered and analyzed using SPSS version 15. The Nutritional module of CDC/WHO Epi-Info 6.0 software was used to convert the anthropometrical indices weight for age, height for age and weight for height Z- scores based using the WHO/CDC 2000 reference standards. The wealth index developed was on the principle components analysis of household assets. The questions used to establish the wealth index included household access to electricity, radio or television; household ownership of bicycle, motorcycle or car; type of material of used for flooring the house; number of rooms in the house; main source of drinking water; type of toilet facility. Principle components analysis was used to derive wealth index quintiles and the ranking of these quintiles were used to represent household wealth. Pearson's Chi square test was conducted to determine associations between categorical variables. Bivariate analysis was conducted; odds ratios with95% confidence intervals were calculated to determine the risk factors for childhood undernutrition. Multivariate analysis was conducted to assess the contribution of each risk factor.

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Based on the information provided, here are some potential innovations that can be used to improve access to maternal health:

1. Mobile Clinics: Implementing mobile clinics that can travel to remote areas and provide maternal health services, including prenatal care, vaccinations, and nutritional support.

2. Telemedicine: Using telemedicine technology to connect pregnant women in rural areas with healthcare professionals who can provide virtual consultations and monitor their health remotely.

3. Community Health Workers: Training and deploying community health workers who can provide education, support, and basic healthcare services to pregnant women in their communities.

4. Maternal Health Vouchers: Introducing a voucher system that provides pregnant women with access to essential maternal health services, such as prenatal care, delivery, and postnatal care.

5. Maternal Health Education Programs: Developing and implementing educational programs that focus on improving maternal health knowledge and practices among pregnant women and their families.

6. Transportation Support: Providing transportation support, such as subsidized or free transportation services, to ensure that pregnant women can easily access healthcare facilities for prenatal care and delivery.

7. Maternal Health Hotline: Establishing a dedicated hotline that pregnant women can call to receive information, support, and guidance related to maternal health.

8. Maternal Health App: Creating a mobile application that provides pregnant women with access to educational resources, appointment reminders, and personalized health information.

9. Maternal Health Task Force: Establishing a task force that brings together healthcare professionals, policymakers, and community leaders to develop and implement strategies for improving maternal health access and outcomes.

10. Maternal Health Financing: Implementing innovative financing mechanisms, such as microinsurance or community-based health financing, to ensure that pregnant women have the financial means to access maternal health services.

These innovations can help address the identified risk factors and improve access to maternal health services in Ibadan, Nigeria.
AI Innovations Description
Based on the provided information, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Multidisciplinary Approach: The study highlights the need for a multidisciplinary approach in developing preventive strategies for child undernutrition. This recommendation can be developed into an innovation by creating a collaborative platform that brings together healthcare professionals, nutritionists, social workers, and community members to address the various risk factors identified in the study.

The innovation could involve:

– Establishing a task force or committee consisting of representatives from different sectors (healthcare, education, social services, etc.) to develop and implement comprehensive strategies to address maternal and child undernutrition.
– Conducting awareness campaigns and educational programs targeting mothers and families to promote proper nutrition, infant feeding practices, and immunization.
– Providing training and support to healthcare providers on identifying and addressing risk factors for undernutrition during routine check-ups and visits.
– Collaborating with community leaders and organizations to improve access to nutritious food, clean water, and sanitation facilities in high-density areas.
– Implementing interventions to improve maternal education and income levels, such as vocational training programs and microfinance initiatives.
– Strengthening the referral system between primary health care centers, secondary health centers, and specialized facilities like Oni Memorial Children’s Hospital to ensure timely access to appropriate care and treatment.

By implementing this multidisciplinary approach, the innovation can help improve access to maternal health by addressing the socio-economic and family-related risk factors identified in the study.
AI Innovations Methodology
To improve access to maternal health in Ibadan, Nigeria, here are some potential recommendations:

1. Strengthening healthcare infrastructure: Enhance the capacity and quality of healthcare facilities, particularly in rural areas, by improving infrastructure, equipment, and staffing levels.

2. Community-based interventions: Implement community health programs that focus on educating and empowering women and families about maternal health, including prenatal care, nutrition, and safe delivery practices.

3. Mobile health (mHealth) solutions: Utilize mobile technology to provide access to maternal health information, appointment reminders, and telemedicine consultations, especially in remote areas where access to healthcare facilities is limited.

4. Transportation support: Establish transportation systems or programs to ensure that pregnant women can easily access healthcare facilities for prenatal care, delivery, and postnatal care.

5. Financial assistance: Develop programs that provide financial support to pregnant women and families, such as subsidies for healthcare services, transportation vouchers, or cash transfers to cover healthcare expenses.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Data collection: Gather data on the current state of maternal health access in Ibadan, including the number of healthcare facilities, their locations, and the availability of services. Collect demographic data on the target population, such as the number of pregnant women and their socio-economic characteristics.

2. Baseline assessment: Assess the current level of access to maternal health services by analyzing data on the utilization of healthcare facilities, including prenatal care visits, deliveries attended by skilled birth attendants, and postnatal care visits.

3. Modeling the recommendations: Use a simulation model, such as a system dynamics model or agent-based model, to simulate the impact of the recommendations on improving access to maternal health. This model should consider factors such as population demographics, healthcare infrastructure, transportation systems, and financial assistance programs.

4. Scenario analysis: Run different scenarios in the simulation model to explore the potential impact of each recommendation individually and in combination. Adjust the parameters of the model, such as the coverage and effectiveness of interventions, to estimate the potential outcomes.

5. Impact assessment: Analyze the simulation results to determine the potential impact of the recommendations on improving access to maternal health. Assess indicators such as the increase in the number of prenatal care visits, deliveries attended by skilled birth attendants, and postnatal care visits.

6. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the simulation results by varying key parameters and assumptions in the model.

7. Policy recommendations: Based on the simulation results, provide evidence-based recommendations for policymakers and stakeholders on the most effective interventions to improve access to maternal health in Ibadan.

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