Childhood vaccination in informal urban settlements in Nairobi, Kenya: Who gets vaccinated?

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Study Justification:
– The study aims to address the issue of undervaccination in urban slums, particularly in sub-Saharan Africa.
– It provides valuable insights into the vaccination status of children living in informal settlements in Nairobi, Kenya.
– The study highlights the need to reassess the delivery of immunization services in urban slums to ensure that all children are reached.
Study Highlights:
– Measles coverage was found to be substantially lower compared to other vaccines.
– Up-to-date (UTD) coverage with all vaccinations at 12 months was 41.3% and 51.8% with and without the birth dose of OPV, respectively.
– Full vaccination coverage was higher than UTD coverage at 12 months.
– Household assets and expenditure, ethnicity, place of delivery, mother’s level of education, age, and parity were identified as predictors of incomplete vaccination.
Recommendations for Lay Reader and Policy Maker:
– Improve measles vaccination coverage in urban slums.
– Strengthen delivery of immunization services in urban slums to ensure all children are reached.
– Address the identified risk factors associated with incomplete vaccination, such as household assets and expenditure, ethnicity, place of delivery, mother’s level of education, age, and parity.
Key Role Players:
– African Population and Health Research Centre (APHRC)
– Nairobi Urban Health and Demographic Surveillance System (NUHDSS)
– Health facilities in neighboring communities
– Private and non-governmental health facilities
Cost Items for Planning Recommendations:
– Strengthening immunization services in urban slums
– Training and capacity building for healthcare providers
– Outreach and awareness campaigns
– Vaccine procurement and distribution
– Monitoring and evaluation of vaccination programs
– Research and data collection on vaccination coverage and risk factors

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study was carried out in two informal settlements in Nairobi, Kenya, and used data from a longitudinal Maternal and Child Health study. The study collected vaccination data from vaccination cards and maternal recall. The study found that measles coverage was lower than other vaccines and identified several risk factors associated with incomplete vaccination. However, the abstract does not provide information on the sample size or the statistical methods used. To improve the evidence, the abstract could include more details on the sample size, statistical methods, and any limitations of the study.

Background: Recent trends in global vaccination coverage have shown increases with most countries reaching 90% DTP3 coverage in 2008, although pockets of undervaccination continue to persist in parts of sub-Saharan Africa particularly in the urban slums. The objectives of this study were to determine the vaccination status of children aged between 12-23 months living in two slums of Nairobi and to identify the risk factors associated with incomplete vaccination. Methods: The study was carried out as part of a longitudinal Maternal and Child Health study undertaken in Korogocho and Viwandani slums of Nairobi. These slums host the Nairobi Urban Health and Demographic Surveillance System (NUHDSS) run by the African Population and Health Research Centre (APHRC). All women from the NUHDSS area who gave birth since September 2006 were enrolled in the project and administered a questionnaire which asked about the vaccination history of their children. For the purpose of this study, we used data from 1848 children aged 12-23 months who were expected to have received all the WHO-recommended vaccinations. The vaccination details were collected during the first visit about four months after birth with follow-up visits repeated thereafter at four month intervals. Full vaccination was defined as receiving all the basic childhood vaccinations by the end of 24 months of life, whereas up-to-date (UTD) vaccination referred to receipt of BCG, OPV 1-3, DTP 1-3, and measles vaccinations within the first 12 months of life. All vaccination data were obtained from vaccination cards which were sighted during the household visit as well as by recall from mothers. Multivariate models were used to identify the risk factors associated with incomplete vaccination. Results: Measles coverage was substantially lower than that for the other vaccines when determined using only vaccination cards or in addition to maternal recall. Up-to-date (UTD) coverage with all vaccinations at 12 months was 41.3% and 51.8% with and without the birth dose of OPV, respectively. Full vaccination coverage (57.5%) was higher than up-to-date coverage (51.8%) at 12 months overall, and in both slum settlements, using data from cards. Multivariate analysis showed that household assets and expenditure, ethnicity, place of delivery, mother’s level of education, age and parity were all predictors of full vaccination among children living in the slums. Conclusions: The findings show the extent to which children resident in slums are underserved with vaccination and indicate that service delivery of immunization services in the urban slums needs to be reassessed to ensure that all children are reached. © 2011 Mutua et al; licensee BioMed Central Ltd.

The study was carried out in two informal settlements of Nairobi (Viwandani and Korogocho) where the African Population and Health Research Centre (APHRC) runs a demographic surveillance system referred to as the Nairobi Urban Health and Demographic Surveillance System (NUHDSS). The NUHDSS has been in operation since 2002 and has about 60,000 registered inhabitants in nearly 20,000 households. These two densely populated slums, each comprising 7 villages, have high unemployment, poverty, crime, poor sanitation and generally poorer health indicators when compared to Nairobi as a whole [5]. The two communities however have notable differences: Viwandani is bordered by an industrial area and attracts migrant workers with relatively higher education levels, while the population in Korogocho is more stable and shows more co-residence of spouses. In addition, Korogocho has less disparity with regard to sex and age distribution of the population compared with Viwandani. Being illegal settlements, the slums are served with limited health services. There are no public health facilities within the slums but there are public health facilities in the neighboring communities where residents of the slums can access vaccination services: Four health facilities are located in the neighbourhood of Korogocho and two are close to Viwandani. Vaccination services are also offered in private and non-governmental health facilities within or near the slums. This study uses data from the Maternal and Child Health component of a broader project entitled “Urbanization, Poverty and Health Dynamics” being implemented in Korogocho and Viwandani. All women from the NUHDSS area who gave birth since September 2006 were enrolled in the project and administered a questionnaire which asked about the vaccination history of their children. For the purpose of this study, we used data on 1848 children aged 12-23 months who were expected to have received all the recommended vaccinations during the first 12 months after births. The vaccination details were collected during first visit about four months after birth with follow-up visits repeated thereafter at four month intervals. All vaccination data were obtained from vaccination cards which were sighted during the household visit, as well as by recall from mothers. Almost all of the children (99%) were said to have vaccination cards during the visits but only 88% (1848) of the cards were seen at the time of interview (Figure ​(Figure1).1). Data on the socio-demographic characteristics of the households were also collected from the NUHDSS census rounds. Derivation of the sample of children included in the study from the NUHDSS. We defined full vaccination status as receiving all the basic childhood vaccinations as recommended by WHO by the end of 24 months after birth. Vaccination status was considered UTD at 12 months if the child had received the following vaccinations in the first year of life: One dose of BCG received shortly after birth, three doses of triple vaccine for diphtheria, pertussis and tetanus (DTP) or pentavalent, three doses of polio (excluding OPV-0 given shortly after birth), received at 6, 10, and 14 weeks after birth respectively, and measles vaccinations at the age of 9 months. UTD vaccination coverage was determined for children after 3 months during which BCG, OPV 0,1 and 2, as well as DTP 1 and 2 would have been administered. Some children received polio vaccine at birth and, therefore the analyses were repeated with full vaccination including OPV-0. Analysis was conducted only for children aged 12-23 using data on their vaccination status obtained within the first 24 months after birth. The household assets index was constructed using the principal component analysis (PCA). The assets index was derived from different assets owned by the household, both within the dwelling structure and elsewhere. These included motor vehicle, motorcycle, cooking stove, TV, refrigerator, and phone. The monthly expenditure was computed by dividing the monthly household expenditure by the equivalent household size, taking a child to be equivalent of half an adult. The poverty variables were computed at the household level and averaged for the village within which the households are located. The mean village poverty scores were then assigned to all the households in the respective villages and used as covariates in the modeling. Nine covariates were included in the analysis: sex of child, maternal education (none, primary, and secondary or higher), maternal age at index child’s birth (<20, 20-24, 25-29, 30+), parity (1, 2, and 3+), place of delivery (home or health facility), ethnicity (Kikuyu, Luhya, Luo, Kamba and Others), antenatal care (no ANC, seen a doctor, seen a nurse), birth weight (less than 2.5 kg, 2.5 kg or greater), postnatal care (no postnatal, postnatal care) and measures of poverty. Descriptive analysis was used to show the characteristics of the participants in the study and the extent of coverage for specific, UTD and full vaccination. A bivariate model was fitted for all covariates and those with a p value of less than 0.25 were included in the multivariate analyses. Multivariate models were used to identify the risk factors associated with incomplete vaccination in the study settlements. The poverty variables were computed for each village and a multilevel (random intercept model) technique was used to account for these village level factors [11]. Due to multi-dimensionality of poverty measurements, we fitted separate models to assess the effects of poverty. All models were fitted with the STATA "xtlogit" or "xtmelogit" command using verified immunization status data from vaccination cards. The conduct of the Urbanization, Poverty and Health Dynamics programme of research was approved by the Ethical Review Board of the Kenya Medical Research Institute (KEMRI). The field workers were trained in research ethics and obtained informed consent from all respondents in the Maternal and Child Health project. The NUHDSS has also been approved by KEMRI's Ethical Review Board. Verbal consent is usually obtained from all respondents.

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

1. Mobile vaccination clinics: Implementing mobile vaccination clinics that can reach the informal settlements directly, providing convenient access to immunization services for children in these areas.

2. Community health workers: Training and deploying community health workers within the informal settlements to educate and mobilize parents about the importance of childhood vaccinations, as well as provide immunization services directly to households.

3. Outreach campaigns: Conducting targeted outreach campaigns to raise awareness about the importance of childhood vaccinations and provide information on where and when vaccinations are available in the nearby public and private health facilities.

4. Vaccine tracking system: Implementing a digital vaccine tracking system that can help healthcare providers and parents keep track of vaccination schedules and send reminders for upcoming vaccinations, ensuring children receive all the recommended vaccines.

5. Public-private partnerships: Collaborating with private healthcare providers and non-governmental organizations to expand vaccination services in the informal settlements, utilizing their existing infrastructure and resources to reach more children.

6. Addressing socioeconomic barriers: Developing strategies to address socioeconomic barriers, such as providing financial incentives or subsidies for vaccination services, to ensure that cost is not a barrier for families living in poverty.

7. Improving healthcare infrastructure: Investing in the development and improvement of healthcare infrastructure within or near the informal settlements, including the establishment of public health facilities that can provide vaccination services.

8. Maternal education programs: Implementing maternal education programs that focus on the importance of childhood vaccinations, addressing misconceptions and concerns, and empowering mothers to make informed decisions about their children’s health.

9. Collaboration with community leaders: Engaging with community leaders and influencers within the informal settlements to promote vaccination and encourage community participation in immunization campaigns.

10. Data-driven decision making: Using data from the Nairobi Urban Health and Demographic Surveillance System (NUHDSS) to identify areas with low vaccination coverage and target interventions accordingly, ensuring resources are allocated effectively.

These innovations aim to address the specific challenges faced in improving access to maternal health, particularly childhood vaccinations, in informal urban settlements like Viwandani and Korogocho in Nairobi, Kenya.
AI Innovations Description
The study conducted in two informal settlements in Nairobi, Kenya aimed to determine the vaccination status of children aged 12-23 months and identify the risk factors associated with incomplete vaccination. The findings revealed that measles coverage was lower compared to other vaccines, and overall up-to-date (UTD) vaccination coverage at 12 months was 41.3% with the birth dose of OPV and 51.8% without it. Full vaccination coverage at 12 months was 57.5%. Factors such as household assets and expenditure, ethnicity, place of delivery, mother’s level of education, age, and parity were found to be predictors of full vaccination in the slum settlements.

Based on these findings, a recommendation to improve access to maternal health in informal urban settlements could be to implement targeted vaccination campaigns in collaboration with local health facilities, NGOs, and community organizations. These campaigns should focus on increasing awareness about the importance of childhood vaccinations and addressing the identified risk factors. Additionally, efforts should be made to improve the availability and accessibility of vaccination services within the slums, either by establishing public health facilities or strengthening existing ones in the neighboring communities. This could involve providing training and resources to healthcare providers, ensuring an adequate supply of vaccines, and addressing any financial barriers that may prevent families from accessing vaccination services.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening vaccination services in urban slums: Focus on improving the availability and accessibility of vaccination services within the slums themselves. This could involve establishing mobile vaccination clinics or partnering with local community organizations to provide vaccination services directly in the slum areas.

2. Increasing awareness and education: Implement targeted awareness campaigns to educate mothers and caregivers about the importance of childhood vaccinations and the availability of vaccination services. This could include community outreach programs, health education sessions, and the distribution of informational materials.

3. Addressing barriers to vaccination: Identify and address the specific barriers that prevent children in urban slums from receiving vaccinations. This could involve addressing issues such as transportation barriers, financial constraints, and cultural beliefs or misconceptions about vaccinations.

4. Strengthening the vaccination supply chain: Improve the availability and reliability of vaccines by strengthening the supply chain management system. This could involve implementing better inventory management practices, ensuring timely delivery of vaccines, and addressing issues related to vaccine storage and cold chain maintenance.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify key indicators that reflect access to maternal health, such as vaccination coverage rates, timeliness of vaccinations, and the proportion of children who are fully vaccinated.

2. Collect baseline data: Gather baseline data on the selected indicators from the target population in the urban slums. This could involve conducting surveys, interviews, or reviewing existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the selected indicators. This model should consider factors such as population size, vaccination service availability, awareness campaigns, and barriers to vaccination.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations on the selected indicators. This could involve adjusting different parameters, such as the coverage rates of vaccination services or the effectiveness of awareness campaigns, to understand their influence on the outcomes.

5. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. This could involve comparing the simulated outcomes with the baseline data to assess the magnitude of change.

6. Refine and validate the model: Refine the simulation model based on the analysis of the results and validate it using additional data or expert input. This will help ensure the accuracy and reliability of the model for future use.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations on improving access to maternal health in urban slums. This information can then be used to inform decision-making and prioritize interventions that are most likely to have a positive impact.

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