Provision and use of maternal health services among urban poor women in Kenya: What do we know and what can we do?

listen audio

Study Justification:
– The study focuses on the provision and use of maternal health services among urban poor women in Kenya, a population that is often overlooked in terms of healthcare.
– The study aims to address the slow progress in maternal health in sub-Saharan Africa and the lack of reliable trend data on maternal mortality.
– By using a unique combination of health facility- and individual-level data collected in the slums of Nairobi, the study provides valuable insights into the challenges faced by low-income urban residents in accessing healthcare.
Highlights:
– The study reveals that the study area is deprived of public health services, highlighting the significant obstacles faced by low-income urban residents in accessing healthcare.
– Despite the high prevalence of antenatal care (ANC), the proportion of women who made the recommended number of visits or initiated the visit in the first trimester of pregnancy remains low compared to Nairobi as a whole and rural populations.
– Household wealth, education, parity, and place of residence were found to be closely associated with the frequency and timing of ANC and place of delivery.
– The study emphasizes the strong linkage between the use of antenatal care and the place of delivery.
Recommendations:
– The findings of the study call for urgent attention from Kenya’s Ministry of Health and local authorities to address the void of quality health services in poor urban communities.
– Focused and sustained health education programs should be implemented to promote the use of obstetric services among the rapidly growing urban poor populations.
Key Role Players:
– Kenya’s Ministry of Health
– Local authorities
– African Population and Health Research Center (APHRC)
– Health facility staff
– Community health workers
– Non-governmental organizations (NGOs) working in maternal health
Cost Items for Planning Recommendations:
– Health education programs
– Training and capacity building for health facility staff
– Improving health infrastructure and services in poor urban communities
– Supplies and equipment for safe delivery
– Monitoring and evaluation of maternal health programs
– Research and data collection on maternal health indicators

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a study conducted in 2006 in two slum settlements in Nairobi, Kenya. The study uses a combination of health facility- and individual-level data to describe the provision of obstetric care, patterns of antenatal and delivery care, and draw policy implications. The study provides specific data on household interviews and a health facility survey. However, the abstract does not provide information on the sample size, methodology, or statistical analysis used. To improve the evidence, the abstract should include more details on the study design, sample size, and statistical analysis methods used.

In sub-Saharan Africa, the unprecedented population growth that started in the second half of the twentieth century has evolved into unparalleled urbanization and an increasing proportion of urban dwellers living in slums and shanty towns, making it imperative to pay greater attention to the health problems of the urban poor. In particular, urgent efforts need to focus on maternal health. Despite the lack of reliable trend data on maternal mortality, some investigators now believe that progress in maternal health has been very slow in sub-Saharan Africa. This study uses a unique combination of health facility- and individual-level data collected in the slums of Nairobi, Kenya to: (1) describe the provision of obstetric care in the Nairobi informal settlements; (2) describe the patterns of antenatal and delivery care, notably in terms of timing, frequency, and quality of care; and (3) draw policy implications aimed at improving maternal health among the rapidly growing urban poor populations. It shows that the study area is deprived of public health services, a finding which supports the view that low-income urban residents in developing countries face significant obstacles in accessing health care. This study also shows that despite the high prevalence of antenatal care (ANC), the proportion of women who made the recommended number of visits or who initiated the visit in the first trimester of pregnancy remains low compared to Nairobi as a whole and, more importantly, compared to rural populations. Bivariate analyses show that household wealth, education, parity, and place of residence were closely associated with frequency and timing of ANC and with place of delivery. Finally, there is a strong linkage between use of antenatal care and place of delivery. The findings of this study call for urgent attention by Kenya’s Ministry of Health and local authorities to the void of quality health services in poor urban communities and the need to provide focused and sustained health education geared towards promoting use of obstetric services. © 2008 The New York Academy of Medicine.

The data are from a maternal health project carried out in 2006 by the African Population and Health Research Center (APHRC) in two slum settlements of Nairobi, Kenya. In these two areas, APHRC conducts a demographic surveillance system (DSS) covering about 60,000 inhabitants. These two areas are among a growing number of informal settlements in Nairobi that house more than 60% of the city’s population on less than 10% of the land. Like other Nairobi slum settlements, these two communities are underserved with regard to health infrastructure and services; they have high unemployment, poverty, crime, poor sanitation, and generally poorer health indicators when compared to Nairobi as a whole. The two communities, however, exhibit structural differences: Viwandani is bordered by an industrial area and attracts migrants with relatively higher education levels, while the population in Korogocho is more stable and show more co-residence of spouses. The specific data used in this study were collected through household interviews and a health facility survey. From the DSS database, all women who had a pregnancy outcome in 2004–2005 were selected and interviewed. The questionnaire, which was administered to a total of 1,927 women, covered topics including antenatal, delivery, and postnatal care; reproductive history; perceived access to and quality of care; obstetric complications; and antenatal, delivery, and postnatal expenditures. All health facilities (both within and outside the slum settlements) where women in the two communities go to deliver were assessed with regard to the number, training, and competency of obstetric staff; services offered; physical infrastructure; and availability, adequacy, and functional status of supplies and other essentials for safe delivery. A total of 25 facilities were surveyed. The first area investigated in this paper is the adequacy and quality of emergency obstetric care facilities serving the study population. They are described using distribution frequencies of data from the health facility assessment with focus on the type of care provided (basic or comprehensive emergency care), availability and adequacy of equipment and supplies, and physical infrastructure. The second issue of interest is antenatal care, analyzed both in terms of frequency (coded 1, 2–3, or 4 visits or more) and timing (initiation in the first, second, or third trimester of pregnancy). The association of timing and frequency of antenatal care with education, household wealth, parity, and slum location of residence is assessed using chi-square test. Principal component analysis was used to generate household wealth tertiles from household possessions, namely, presence of electricity, material of the dwelling floor, source of drinking water, type of toilet facility, and type of cooking fuel. The third issue analyzed is delivery care. Unlike in other studies, place of delivery is defined to account for the quality of care provided. From the health facility survey, health facilities were classified as either “appropriate” or “inappropriate”. As previously, the chi-square test is used to assess the association between education, wealth, parity and location of residence, and place of delivery. Age and ethnicity were also included in the study. However, due to space constraints, the results are not shown.

Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Improve the provision of public health services in poor urban communities: The study highlights the lack of quality health services in poor urban communities, which hinders access to maternal health care. To address this, the recommendation is to focus on improving the provision of public health services in these communities. This can be done by increasing the number of health facilities, ensuring they are adequately staffed with trained obstetric staff, and providing necessary equipment and supplies for safe delivery.

2. Increase health education efforts: The study also emphasizes the need for focused and sustained health education to promote the use of obstetric services. To address this, the recommendation is to develop innovative health education programs specifically targeted at the urban poor population. These programs should aim to raise awareness about the importance of antenatal care, delivery care, and postnatal care, as well as provide information on where and how to access these services.

3. Address socio-economic factors influencing access to maternal health care: The study identifies household wealth, education, parity, and place of residence as factors closely associated with the frequency and timing of antenatal care and place of delivery. To improve access to maternal health care, it is important to address these socio-economic factors. This can be done through targeted interventions such as providing financial support for maternal health services, improving educational opportunities for women, and implementing policies to reduce disparities in access to care based on place of residence.

Overall, the recommendation is to develop innovative approaches that address the specific challenges faced by the urban poor population in accessing maternal health care. This includes improving the provision of public health services, increasing health education efforts, and addressing socio-economic factors that influence access to care.
AI Innovations Description
Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Improve the provision of public health services in poor urban communities: The study highlights the lack of quality health services in poor urban communities, which hinders access to maternal health care. To address this, the recommendation is to focus on improving the provision of public health services in these communities. This can be done by increasing the number of health facilities, ensuring they are adequately staffed with trained obstetric staff, and providing necessary equipment and supplies for safe delivery.

2. Increase health education efforts: The study also emphasizes the need for focused and sustained health education to promote the use of obstetric services. To address this, the recommendation is to develop innovative health education programs specifically targeted at the urban poor population. These programs should aim to raise awareness about the importance of antenatal care, delivery care, and postnatal care, as well as provide information on where and how to access these services.

3. Address socio-economic factors influencing access to maternal health care: The study identifies household wealth, education, parity, and place of residence as factors closely associated with the frequency and timing of antenatal care and place of delivery. To improve access to maternal health care, it is important to address these socio-economic factors. This can be done through targeted interventions such as providing financial support for maternal health services, improving educational opportunities for women, and implementing policies to reduce disparities in access to care based on place of residence.

Overall, the recommendation is to develop innovative approaches that address the specific challenges faced by the urban poor population in accessing maternal health care. This includes improving the provision of public health services, increasing health education efforts, and addressing socio-economic factors that influence access to care.
AI Innovations Methodology
To simulate the impact of the main recommendations on improving access to maternal health, the following methodology can be used:

1. Data collection: Collect data on the current provision and use of maternal health services in poor urban communities. This can include information on the number and quality of health facilities, the frequency and timing of antenatal and delivery care, and socio-economic factors influencing access.

2. Develop a simulation model: Use the collected data to develop a simulation model that represents the current situation of maternal health access in poor urban communities. The model should include variables such as the number of health facilities, availability of trained obstetric staff, health education programs, and socio-economic factors.

3. Introduce the recommendations: Modify the simulation model to incorporate the recommended interventions, such as improving the provision of public health services, increasing health education efforts, and addressing socio-economic factors. Adjust the variables in the model to reflect the expected impact of these interventions.

4. Run the simulation: Run the simulation model to simulate the impact of the recommendations on improving access to maternal health. This can be done by comparing the outcomes of the simulation with the current situation, such as the number of women accessing antenatal care, the timing and frequency of care, and the place of delivery.

5. Analyze the results: Analyze the results of the simulation to determine the potential impact of the recommendations on improving access to maternal health. This can include assessing changes in the number of women accessing care, improvements in the timing and frequency of care, and changes in the place of delivery.

6. Refine the recommendations: Based on the simulation results, refine the recommendations if necessary. This can involve adjusting the interventions or exploring additional strategies to further improve access to maternal health.

7. Communicate the findings: Present the findings of the simulation to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Use the results to advocate for the implementation of the recommendations and to guide decision-making on improving access to maternal health.

By using this methodology, it is possible to simulate the impact of the main recommendations on improving access to maternal health and provide valuable insights for decision-making and policy development.

Yabelana ngalokhu:
Facebook
Twitter
LinkedIn
WhatsApp
Email