Assessing the prevalence of spina bifida and encephalocele in a Kenyan hospital from 2005-2010: implications for a neural tube defects surveillance system

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Study Justification:
– Neural tube defects are congenital anomalies of the central nervous system, and data on their prevalence in Kenya are limited.
– This study aims to characterize and estimate the prevalence of spina bifida and encephalocele in a referral hospital in Kenya from 2005-2010.
– The findings of this study can contribute to the development of a neural tube defects surveillance system in Kenya.
Study Highlights:
– The study was conducted at the AIC Kijabe Hospital, which serves as a specialized training, referral, and treatment center for pediatric patients with surgical disabilities.
– The study used an administrative database managed by the neurosurgical center at AIC Kijabe Hospital to assess the prevalence of neural tube defects.
– A total of 1,272 neural tube defect cases were included in the analysis.
– Prevalence estimates were calculated by dividing the number of neural tube defect cases by the number of live births reported by the Kenya National Bureau of Statistics from 2005-2010.
– The study found variations in the prevalence of spina bifida and encephalocele by province in Kenya.
Recommendations for Lay Reader:
– The study provides important information about the prevalence of spina bifida and encephalocele in a Kenyan hospital from 2005-2010.
– These findings can help policymakers and healthcare professionals understand the burden of neural tube defects in Kenya and develop strategies for prevention and treatment.
– Further research and surveillance are needed to monitor the prevalence of neural tube defects in Kenya and improve healthcare services for affected individuals.
Recommendations for Policy Maker:
– Develop a national surveillance system for neural tube defects to monitor the prevalence and trends of these conditions in Kenya.
– Increase awareness and education about neural tube defects among healthcare professionals, pregnant women, and the general public.
– Strengthen prenatal care services to ensure early detection and management of neural tube defects.
– Improve access to specialized treatment centers for individuals with neural tube defects.
– Allocate resources for research, prevention, and treatment of neural tube defects in Kenya.
Key Role Players:
– Ministry of Health
– AIC Kijabe Hospital
– Kenya National Bureau of Statistics
– Healthcare professionals (neurosurgeons, nurses, therapists)
– Public health officials
– Non-governmental organizations (NGOs) working in the field of birth defects
Cost Items for Planning Recommendations:
– Development and maintenance of a national surveillance system
– Training and capacity building for healthcare professionals
– Awareness campaigns and educational materials
– Prenatal care services and screening programs
– Specialized treatment centers and equipment
– Research funding for further studies on neural tube defects in Kenya

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. The study provides detailed information about the hospital and the database used for data collection. It also describes the inclusion and exclusion criteria for the analysis. However, there is no mention of the sample size calculation or the representativeness of the study population. To improve the strength of the evidence, the authors could provide more information about the methodology used to estimate the prevalence of neural tube defects. They could also discuss the limitations of the study, such as potential biases or sources of error. Additionally, including information about the statistical tests used and the significance level would enhance the credibility of the findings.

INTRODUCTION: Neural tube defects such as anencephaly, spina bifida, and encephalocele are congenital anomalies of the central nervous system. Data on the prevalence of neural tube defects in Kenya are limited. This study characterizes and estimates the prevalence of spina bifida and encephalocele reported in a referral hospital in Kenya from 2005-2010.

The study was conducted at the AIC Kijabe Hospital which is located in Lari District of Central province in Kenya, approximately 60 km northwest from the capital city of Nairobi. The hospital has a pediatric neurosurgical center that began providing neurologic services in November 2004, and serves as a specialized training, referral, and treatment center for pediatric patients from across the country. The unit has 67 beds and two operating rooms. The unit focuses mainly on children with surgical disabilities that include, but are not limited to, spina bifida and hydrocephalus. During the study period (2005-2010), the specialized center included 14 satellite ambulatory clinics across the country where patients can be followed after surgery by nurses and therapists (Figure 1). In addition, these clinics help identify potential new patients and refer them to AIC Kijabe Hospital for appropriate services. Geographic distribution of spina bifida and encephalocele prevalence rates by maternal residence among patients attending African Inland Church Kijabe Hospital, Kenya, 2005-2010 An administrative database managed by the neurosurgical center at AIC Kijabe Hospital using Microsoft Access (Microsoft, WA, USA) containing information from all patients attending the neurosurgical center was used to assess the prevalence of neural tube defects. This database was established to monitor administrative functions in the hospital and was not originally intended to support health-related surveillance activities. For all patients admitted to the hospital, demographic, admission, and treatment information were collected in this database. Clinical diagnoses were reported by the neurosurgeons. Data used in this study included date of birth, sex, diagnoses of birth defects, and maternal residence. Maternal residence was defined by city or village location. Cities and villages of residence reported in the database were assigned to one of the eight provinces in Kenya (i.e., Nairobi, Coast, North Eastern, Eastern, Central, Western, Nyanza, and Rift Valley). For purposes of this study, patients with a clinical diagnosis of anencephaly, spina bifida, or encephalocele who were admitted to AIC Kijabe Hospital from 2005 to 2010 were eligible for inclusion. An anencephaly case was defined as any reported diagnosis of anencephaly. A spina bifida case was defined as any reported diagnosis of lipomyelomeningocele, meningocele, myelomeningocele, spina bifida cystica, open spina bifida, and spina bifida unspecified. An encephalocele case was defined as any reported diagnosis of frontal, nasal, frontal-nasal, occipital encephalocele and encephalocele unspecified. Cases were included in the analysis if they met the case definition for a neural tube defect, were born in Kenya from 2005-2010, and a reported maternal residence in Kenya. If maternal residence corresponded to a country other than Kenya, had a city or village name missing or that did not correspond to a province in Kenya, the case was excluded from the analyses. Although neural tube defects data were available in the database for additional years (1998-2004 and 2011-2012), accurate live-birth population estimates were only available from the Kenya Bureau of Statistics from 2005-2010 [22]; therefore, analyses were limited to these years. This resulted in a final sample size of 1,272 neural tube defect cases. The database provided up to five different diagnoses for each case. Any case with a duplicate diagnosis (e.g., spina bifida was listed multiple times), was only counted once. A case with several diagnoses (e.g., spina bifida, hydrocephalus, and talipes equinovarus) was counted as a neural tube defect. The denominator for all estimates were based on the total number of reported live-births (i.e., homes, hospitals and clinics births) per province from 2005-2010 by the Kenya National Bureau of Statistics [22]. Descriptive analyses were performed to estimate the prevalence of patients with neural tube defects by year admitted to AIC Kijabe Hospital from 2005-2010. Prevalence was calculated by the number of neural tube defect cases identified (numerator) divided by the number of live births by year from 2005-2010 reported by the Kenya National Bureau of Statistics [22]. Estimates by province were calculated using the corresponding number of live births by year by province as the denominator. We calculated 95% confidence intervals (CI) for each prevalence estimate based on exact Poisson limits [23]. Statistical analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC, USA). Geographical distribution of prevalence estimates were performed using EPIINFO version 7 (U.S Centers for Disease Control and Prevention, Atlanta, GA, USA). The investigation was approved by the Kenyan Ministry of Health and AIC Kijabe Hospital. Since this investigation was considered a public health response, and included only retrospective analysis of data, no formal ethical review was required. The study was approved by the ethics committee at the hospital. No names or personal identifying information were associated with reported data. Appropriate measures were taken to assure the database was properly stored and secured.

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

1. Telemedicine: Implementing telemedicine services can help connect pregnant women in remote areas with healthcare professionals, allowing them to receive prenatal care and consultations without having to travel long distances.

2. Mobile clinics: Setting up mobile clinics that travel to rural and underserved areas can provide essential maternal health services, including prenatal care, vaccinations, and health education.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, educate women about pregnancy and childbirth, and refer them to appropriate healthcare facilities when needed.

4. Health information systems: Developing and implementing electronic health information systems can help track and monitor maternal health data, identify trends, and improve decision-making for resource allocation and planning.

5. Maternal health vouchers: Introducing voucher programs that provide pregnant women with access to essential maternal health services, such as prenatal care, skilled birth attendance, and postnatal care, can help reduce financial barriers and improve access to quality care.

6. Public-private partnerships: Collaborating with private healthcare providers to expand access to maternal health services, especially in underserved areas, can help bridge the gap between supply and demand.

7. Maternal waiting homes: Establishing maternal waiting homes near healthcare facilities can provide a safe and supportive environment for pregnant women who live far away, allowing them to stay closer to the facility as they approach their due dates.

8. Transportation support: Providing transportation support, such as ambulances or transportation vouchers, to pregnant women in remote areas can ensure timely access to healthcare facilities during emergencies or when labor begins.

9. Maternal health education: Implementing comprehensive maternal health education programs that target women, families, and communities can help raise awareness about the importance of prenatal care, nutrition, hygiene, and birth preparedness.

10. Task-shifting: Training and empowering non-specialist healthcare providers, such as nurses and midwives, to perform certain tasks traditionally done by doctors can help alleviate the shortage of skilled healthcare professionals and improve access to maternal health services.

These innovations, when implemented effectively, can contribute to improving access to maternal health services and reducing maternal mortality and morbidity rates.
AI Innovations Description
Based on the provided description, the recommendation to develop into an innovation to improve access to maternal health is to establish a comprehensive neural tube defects surveillance system in Kenya. This system would involve the following steps:

1. Data Collection: Implement a standardized data collection process to capture information on the prevalence of neural tube defects, specifically spina bifida and encephalocele, in Kenyan hospitals. This can be done by utilizing existing administrative databases, such as the one used in the study at AIC Kijabe Hospital, or by creating a new database specifically for this purpose.

2. Collaboration: Collaborate with multiple hospitals and healthcare facilities across the country to ensure comprehensive data collection. This can be achieved by establishing partnerships and agreements with various healthcare providers to share data on neural tube defects cases.

3. Training and Capacity Building: Provide training and capacity building programs for healthcare professionals involved in the surveillance system. This would include training on data collection, diagnosis, and reporting of neural tube defects cases. It would also involve educating healthcare professionals on the importance of early detection and intervention for maternal and fetal health.

4. Geographic Mapping: Utilize geographic mapping tools, such as EPIINFO, to analyze and visualize the prevalence of neural tube defects by province and maternal residence. This would help identify areas with higher prevalence rates and enable targeted interventions and resource allocation.

5. Continuous Monitoring and Evaluation: Establish a system for continuous monitoring and evaluation of the surveillance system to ensure data accuracy and reliability. This would involve regular data audits, quality checks, and feedback mechanisms to healthcare providers.

6. Policy and Advocacy: Use the data collected from the surveillance system to advocate for policy changes and interventions aimed at improving access to maternal health services. This could include advocating for increased funding for maternal health programs, improved access to prenatal care, and the availability of specialized treatment centers for neural tube defects.

By implementing this comprehensive neural tube defects surveillance system, policymakers and healthcare providers can gain a better understanding of the prevalence of these conditions in Kenya and develop targeted interventions to improve access to maternal health services.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Mobile clinics: Implementing mobile clinics that travel to remote areas can provide essential maternal health services, including prenatal care, vaccinations, and health education. This would help reach pregnant women who may have limited access to healthcare facilities.

2. Telemedicine: Utilizing telemedicine technology can connect pregnant women in remote areas with healthcare professionals. Through video consultations, healthcare providers can offer guidance, monitor pregnancies, and provide necessary advice without the need for physical travel.

3. Community health workers: Training and deploying community health workers can improve access to maternal health services. These workers can provide basic prenatal care, educate women on healthy practices during pregnancy, and facilitate referrals to healthcare facilities when necessary.

4. Maternal health vouchers: Introducing maternal health vouchers can help reduce financial barriers to accessing healthcare services. These vouchers can be distributed to pregnant women, allowing them to receive essential maternal health services free of charge or at a reduced cost.

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

1. Define the target population: Identify the specific population that would benefit from the recommendations, such as pregnant women in remote areas or low-income communities.

2. Collect baseline data: Gather data on the current access to maternal health services in the target population. This can include information on the number of women receiving prenatal care, the distance to the nearest healthcare facility, and the financial barriers they face.

3. Model the impact of each recommendation: Use statistical modeling techniques to estimate the potential impact of each recommendation on improving access to maternal health. This can involve analyzing data from similar interventions implemented in other settings or conducting surveys and interviews to gather information specific to the target population.

4. Quantify the expected outcomes: Calculate the expected increase in the number of women accessing maternal health services, reduction in travel distance, or decrease in financial burden based on the simulation results.

5. Assess cost-effectiveness: Evaluate the cost-effectiveness of implementing the recommendations by comparing the estimated outcomes with the resources required for implementation. This can help prioritize the most impactful and feasible interventions.

6. Monitor and evaluate: Once the recommendations are implemented, establish a monitoring and evaluation system to track the actual impact on access to maternal health services. This can involve collecting data on the number of women reached, changes in health outcomes, and feedback from the target population.

By following this methodology, policymakers and healthcare providers can make informed decisions on which recommendations to prioritize and implement to improve access to maternal health.

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