Malaria prevention practices and delivery outcome: A cross sectional study of pregnant women attending a tertiary hospital in northeastern Nigeria

Study Justification:
– Malaria in pregnancy is a public health problem in Nigeria, causing maternal anaemia and adverse birth outcomes.
– Disparities in malaria control activities across different regions of Nigeria, exacerbated by political unrest and population displacement, put pregnant women at risk.
– This study aimed to assess the use of malaria preventive measures during pregnancy and the risk of malaria infection, anaemia, and low birth weight babies among pregnant women in an insurgent area.
Study Highlights:
– The study was conducted at Federal Medical Centre, Nguru in Yobe state, Nigeria, from July to November 2014.
– 184 parturient women were surveyed, and information on demographics, antenatal care, and prevention practices was collected.
– Prevalence of malaria parasitaemia, anaemia, and low birth weight babies was 40.0%, 41.0%, and 37.0%, respectively.
– Significant risk factors for malaria parasitaemia at delivery included malaria infection at antenatal clinic enrollment, non-adherence to direct observation therapy for administration of preventive treatment, and receiving less than two doses of preventive treatment.
Study Recommendations:
– Intensify efforts to reach displaced pregnant women and provide them with access to preventive measures such as intermittent preventive treatment.
– Increase supervision of the delivery of malaria preventive measures by healthcare providers.
Key Role Players:
– Healthcare providers: Responsible for supervising the delivery of malaria preventive measures.
– Government agencies: Involved in coordinating and implementing malaria control activities.
– Non-governmental organizations: Provide support and resources for malaria prevention programs.
– Community leaders: Play a role in raising awareness and promoting preventive measures among the community.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers.
– Procurement and distribution of preventive treatment, such as sulfadoxine-pyrimethamine.
– Awareness campaigns and health education materials.
– Monitoring and evaluation of the implementation of preventive measures.
– Coordination and administrative costs for government agencies and non-governmental organizations involved in malaria control activities.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a cross-sectional survey, which provides valuable information but does not establish causation. The sample size of 184 participants is relatively small, which may limit the generalizability of the findings. However, the study collected data on demographics, antenatal care, prevention practices, and conducted laboratory tests to assess malaria parasitaemia and anaemia. The results show a high prevalence of malaria parasitaemia, anaemia, and low birth weight babies. The study also identifies significant risk factors for malaria parasitaemia at delivery. To improve the strength of the evidence, future studies could consider using a larger sample size and a longitudinal design to establish causal relationships. Additionally, including a control group and conducting randomized controlled trials could further strengthen the evidence.

Background: Malaria in pregnancy remains a public health problem in Nigeria. It causes maternal anaemia and adversely affects birth outcome leading to low birth weight, abortions and still births. Nigeria has made great strides in addressing the prevention and control of malaria in pregnancy. However, recent demographic survey shows wide disparities in malaria control activities across the geopolitical zones. This situation has been compounded by the political unrest and population displacement especially in the Northeastern zone leaving a significant proportion of pregnant women at risk of diseases, including malaria. The use of malaria preventive measures during pregnancy and the risk of malaria parasitaemia, anaemia and low birth weight babies were assessed among parturient women in an insurgent area. Methods: A cross-sectional survey was conducted among 184 parturient women at Federal Medical Centre, Nguru in Yobe state, between July and November 2014. Information on demographics, antenatal care and prevention practices was collected using an interviewer-administered questionnaire. Maternal peripheral and the cord blood samples were screened for malaria parasitaemia by microscopy of Giemsa-stained blood films. The presence of anaemia was also determined by microhaemocrit method using the peripheral blood samples. Data was analysed using descriptive and analytical statistics. Results: Prevalence of malaria parasitaemia, anaemia and low birth weight babies was 40.0, 41.0 and 37.0 %, respectively, and mothers aged younger than 25 years were mostly affected. Eighty (43.0 %) of the women received up to two doses of sulfadoxine-pyrimethamine for intermittent preventive treatment (IPTp-SP) during pregnancy and most, 63 (83.0 %) of those tested malaria positive received less than these. Presence of malaria infection at antenatal clinic enrollment (OR: 6.6; 95 % CI: 3.4-13.0), non-adherence to direct observation therapy for administration of IPTp-SP (OR: 4.6; 95 % CI: 2.2-9.5) and receiving <two doses of IPTp-SP (OR: 3.1; 95 % CI: 1.5-6.7) were significant risk factors for malaria parasitaemia at delivery. Conclusion: The high prevalence of malaria in pregnancy and the adverse outcome in this insurgence area reflects the poor access of pregnant women to preventive measures such as IPTp-SP. Effort to reach displaced pregnant women and supervision of delivery of malaria preventive measures by healthcare providers should be intensified.

This study was conducted from June to November 2014 at Federal Medical Center, a tertiary and referral health institution in Nguru, Yobe State, Nigeria. It is a 390-bed hospital and has an obstetrics and gynaecology department that provides antenatal care services. The antenatal clinic (ANC) runs 2 days per week (both for bookings and check-up), and the services rendered include health education, provision of IPTp-SP, distribution of ITNs, routine laboratory and radiological investigations. Nguru town is a malaria endemic area with transmission all the year round and peaks during the rainy season [3]. The town has the Nguru Lake that provides a breeding ground for the vector, mosquitoes. The total population of this area is 205,296 while the population of women of child-bearing age is 45,165 and that of pregnant women is 10,265. Majority of the women are housewives. Descriptive cross-sectional study design was used. The study population was parturient women delivering at FMC, Yobe. They must have been booked, had attended antenatal clinic in FMC, Nguru and presented in labour at term (between 36 and 40 weeks of gestation). Those with an eventful antenatal period, coexisting premorbid condition, preterm labour and who had no antenatal care and supporting records were excluded. The study minimum sample size of 168 was calculated using sample size formula for single proportion with 12.5 % prevalence of malaria parasitaemia at delivery from a study in Sokoto [4], precision of 5 % and standard normal deviate of 1.96 at 95 % confidence intervals. In consideration of non-response rate of 10 %, the minimum sample needed for the study was 184. Study participants were recruited consecutively as they presented during labour until the sample size was attained. Only those who had available supporting ANC record were included in the study. Written informed consent was obtained from each study participant or guardians for mothers less than 18 years of age before enrollment. Trained laboratory scientists collected 5 mls of peripheral blood from the mother using vacutainer cup and needle and cord blood from the newborn into separate EDTA bottles from each study participant. Each sample was given a number and paired (mother-newborn) and labeled with the patient’s information. Thick and thin blood films were made from both venous and cord blood, then stained with Giemsa. They were examined microscopically using oil immersion objective (×100) for the presence of malaria parasite. Parasites were identified and densities estimated by counting against 200 leucocytes [5]. Slides without parasites were indicated as; No Malaria Parasites Seen (NMPS) while parasitaemia were graded as either low (1–999/high power field), moderate (1000–9999/high power field (HPF), or high (≥10,000/high power field). The stained slides were first read by the laboratory technician and secondly by a blinded reader (a WHO certified microscopist (level 1) with over 5 years of working experience) from the same institution. A third reader, a WHO microscopist (level 1 with more than years of working experience) from Kano State, read slides that had discordant readings by the first two readers. The packed cell volume (PCV) of the mothers was determined using capillary blood sample collected in a heparinized capillary tube. The samples were spun at 5000 rpm for 5 min in Microhaematocrit machine (Hawskley England) and the haematocrit reader was used to estimate the PCV. Presence of anaemia was considered as a PCV or haematocrit value less than 30 % [6, 7]. Trained research assistants administered a structured pre-tested questionnaire to collect information on demographics, malaria preventive strategies used, doses and trimester of administration of IPTp-SP and haematocrit values during the ANC visits and at delivery. Data on previous use of IPT, malaria infection and treatment during pregnancy were extracted from the ANC records. Digital weighing scale for babies was used in the labour ward by skilled midwives to measure the baby’s weight and recorded in the labour ward delivery register. Baby’s birth weight was collected from labour ward record. Low birth weight (LBW) babies were categorized as those with birth weight <2500 g [3]. Data collected for the study were entered, cleaned and analysed using Epi-info version 3.7 and Microsoft excel. Means, standard deviation and proportions were computed as relevant to summarize the data. Bivariate analysis (Chi square test) was used to determine association between categorical. Multiple logistic regression was carried out to determine predictors of malaria parasitaemia. Level of significance was set at 5 %. The ethical approval for the conduct of the study was obtained from the Institutional Ethics Review Committee of Federal Medical Center, Nguru. Written informed consent was obtained from each study participant or from guardians for mothers less than 18 years of age whose assents were also sought. Results of those found to have anaemia and parasitaemia were provided to the obstetricians for appropriate management of the patients. Information collected from the participants was kept confidential and stored in both hard-locked in cabinets and password- protected electronic files. Non-personal identifiers were used during analysis and presentation.

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

1. Mobile health (mHealth) technology: Develop a mobile application or SMS-based system to provide pregnant women with information on malaria prevention practices, antenatal care, and access to healthcare services. This can help reach displaced pregnant women and provide them with necessary information and reminders.

2. Telemedicine: Implement telemedicine services to enable pregnant women in remote or conflict-affected areas to consult with healthcare providers and receive prenatal care remotely. This can help overcome barriers to accessing healthcare services in areas with limited infrastructure or security concerns.

3. Community health workers: Train and deploy community health workers to provide education and support to pregnant women in their communities. These workers can distribute insecticide-treated bed nets, provide information on malaria prevention, and ensure adherence to preventive treatment like IPTp-SP.

4. Integration of services: Integrate maternal health services with other existing healthcare programs, such as immunization campaigns or nutrition programs. This can improve access to multiple healthcare services for pregnant women and ensure comprehensive care.

5. Public-private partnerships: Collaborate with private sector organizations, such as pharmaceutical companies or technology companies, to improve access to maternal health services. This can involve providing subsidized or free malaria prevention measures, supporting the development of innovative technologies, or leveraging private sector expertise and resources.

6. Strengthening healthcare infrastructure: Invest in improving healthcare infrastructure, particularly in conflict-affected areas, to ensure that pregnant women have access to quality antenatal care and delivery services. This can include building or renovating healthcare facilities, ensuring availability of essential medical supplies and equipment, and training healthcare providers.

7. Targeted outreach and awareness campaigns: Conduct targeted outreach and awareness campaigns to educate pregnant women and their communities about the importance of malaria prevention during pregnancy and the available healthcare services. This can involve community meetings, radio broadcasts, or social media campaigns.

8. Quality improvement initiatives: Implement quality improvement initiatives in healthcare facilities to ensure that pregnant women receive appropriate and timely care. This can involve training healthcare providers on best practices, improving data collection and monitoring systems, and implementing protocols for malaria prevention and treatment during pregnancy.

These recommendations aim to address the challenges identified in the study and improve access to maternal health services, particularly in conflict-affected areas with high malaria prevalence.
AI Innovations Description
Based on the study conducted at Federal Medical Centre in Nguru, Yobe State, Nigeria, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Strengthening Antenatal Care (ANC) Services: Enhance the quality and availability of ANC services by providing comprehensive health education, routine laboratory and radiological investigations, and distribution of preventive measures such as intermittent preventive treatment with sulfadoxine-pyrimethamine (IPTp-SP) and insecticide-treated bed nets (ITNs).

2. Increase Access to Preventive Measures: Implement strategies to ensure that pregnant women have access to and receive the recommended doses of IPTp-SP. This can be achieved through improved supply chain management, training of healthcare providers on the administration of IPTp-SP, and monitoring and supervision of its delivery.

3. Target Displaced Pregnant Women: Intensify efforts to reach pregnant women who have been displaced due to political unrest and population displacement, especially in insurgency-affected areas. This can be done through mobile clinics, community outreach programs, and collaboration with humanitarian organizations.

4. Strengthen Healthcare Provider Supervision: Enhance supervision of healthcare providers to ensure adherence to direct observation therapy for the administration of IPTp-SP. This can help improve the delivery of preventive measures and reduce the risk of malaria parasitaemia in pregnant women.

5. Improve Data Collection and Analysis: Enhance the collection and analysis of data on malaria in pregnancy and its impact on birth outcomes. This can provide valuable insights for monitoring and evaluating the effectiveness of interventions and guiding future strategies.

By implementing these recommendations, access to maternal health can be improved, leading to a reduction in the prevalence of malaria in pregnancy and better birth outcomes.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations to improve access to maternal health:

1. Strengthen antenatal care services: Enhance the availability and quality of antenatal care services, including health education, provision of intermittent preventive treatment for malaria in pregnancy (IPTp-SP), distribution of insecticide-treated bed nets (ITNs), and routine laboratory and radiological investigations.

2. Increase coverage of malaria preventive measures: Implement strategies to increase the coverage and adherence to malaria preventive measures, such as IPTp-SP. This can be achieved through targeted education and awareness campaigns, training of healthcare providers, and ensuring the availability and accessibility of IPTp-SP drugs.

3. Improve access to healthcare for displaced pregnant women: Given the political unrest and population displacement in the Northeastern zone, efforts should be made to reach and provide healthcare services to pregnant women in these areas. This can involve mobile clinics, outreach programs, and collaboration with local community leaders and organizations.

4. Enhance supervision and monitoring: Strengthen the supervision and monitoring of the delivery of malaria preventive measures by healthcare providers. This can help ensure that pregnant women receive the recommended number of doses of IPTp-SP and that the preventive measures are administered correctly.

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

1. Define the indicators: Identify the key indicators that reflect access to maternal health, such as the percentage of pregnant women receiving IPTp-SP, the percentage of pregnant women with malaria parasitaemia, and the percentage of low birth weight babies.

2. Collect baseline data: Gather baseline data on the selected indicators from the target population. This can be done through surveys, interviews, or analysis of existing data sources.

3. Implement the recommendations: Introduce the recommended interventions, such as strengthening antenatal care services, increasing coverage of malaria preventive measures, and improving access for displaced pregnant women.

4. Monitor and evaluate: Continuously monitor and evaluate the implementation of the recommendations. Collect data on the selected indicators at regular intervals to assess the impact of the interventions on improving access to maternal health.

5. Analyze the data: Analyze the collected data to determine the changes in the selected indicators before and after the implementation of the recommendations. This can involve statistical analysis, such as calculating percentages, conducting chi-square tests, or performing logistic regression.

6. Interpret the results: Interpret the results of the data analysis to understand the impact of the recommendations on improving access to maternal health. Identify any significant changes in the selected indicators and assess the overall effectiveness of the interventions.

7. Adjust and refine: Based on the findings, make any necessary adjustments or refinements to the recommendations. This can involve modifying the interventions, scaling up successful strategies, or addressing any challenges or barriers identified during the evaluation process.

By following this methodology, it is possible to simulate the impact of the recommendations on improving access to maternal health and make informed decisions on how to further enhance maternal healthcare services.

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