Non-malaria fevers in a high malaria endemic area of Ghana

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Study Justification:
The study aimed to investigate the risk factors and incidence of non-malaria fevers (NMFs) among children in a high malaria endemic area of Ghana. This is important because the importance of NMFs in children in sub-Saharan Africa is increasingly being recognized. Understanding the factors associated with NMFs can help inform strategies for prevention and management of fevers in this population.
Study Highlights:
– The study enrolled a cohort of 1855 newborns and followed them for at least 12 months.
– The incidence of NMFs in the first year of life was 1.60 per child-year.
– Low birth weight, poor socioeconomic status, and living far from a health facility were associated with higher incidence of NMFs.
– Placental malaria was not associated with the incidence of NMFs.
– The study area had high malaria transmission and a basic health system.
Study Recommendations for Lay Reader:
– Take measures to prevent low birth weight, such as ensuring adequate prenatal care and nutrition.
– Improve socioeconomic conditions to reduce the risk of NMFs.
– Increase access to healthcare facilities, especially in remote areas.
– Continue efforts to prevent and control malaria, as it remains a significant health issue in the study area.
Study Recommendations for Policy Maker:
– Allocate resources to improve prenatal care and nutrition programs to reduce the incidence of low birth weight.
– Implement interventions to address socioeconomic disparities and improve living conditions in the study area.
– Invest in the expansion and improvement of healthcare facilities, particularly in remote areas.
– Strengthen malaria prevention and control programs, including insecticide-treated bed nets and access to prompt diagnosis and treatment.
Key Role Players:
– Researchers and scientists involved in the study
– Health policymakers and government officials
– Healthcare providers and facilities
– Community leaders and organizations
– Non-governmental organizations (NGOs) working in healthcare and development
Cost Items for Planning Recommendations:
– Funding for prenatal care and nutrition programs
– Resources for socioeconomic development initiatives
– Budget for improving healthcare facilities and infrastructure
– Investments in malaria prevention and control programs, including bed nets, diagnostic tools, and antimalarial medications
– Support for capacity building and training of healthcare providers
– Outreach and awareness campaigns to educate the community about fevers and prevention strategies

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 conducted a prospective birth cohort study over a period of three years, which provides a robust design. The study enrolled a large cohort of 1855 newborns and followed them for at least 12 months, with some children followed up to 24 months. The study used passive case detection to detect episodes of illness and collected data on various exposure-related factors. The analysis included adjusted hazard ratios to assess the association between these factors and the risk of non-malaria fevers. However, there are a few areas that could be improved. Firstly, the abstract does not provide specific details about the methods used for data analysis, such as the statistical models employed. Secondly, the abstract does not mention any limitations of the study, which would be helpful for interpreting the findings. Lastly, the abstract does not provide any information about the generalizability of the findings beyond the study area. To improve the evidence, the authors could provide more details about the statistical methods used, discuss the limitations of the study, and provide some context on the generalizability of the findings.

Background: The importance of fevers not due to malaria [non-malaria fevers, NMFs] in children in sub-Saharan Africa is increasingly being recognised. We have investigated the influence of exposure-related factors and placental malaria on the risk of non-malaria fevers among children in Kintampo, an area of Ghana with high malaria transmission. Methods: Between 2008 and 2011, a cohort of 1855 newborns was enrolled and followed for at least 12 months. Episodes of illness were detected by passive case detection. The primary analysis covered the period from birth up to 12 months of age, with an exploratory analysis of a sub-group of children followed for up to 24 months. Results: The incidence of all episodes of NMF in the first year of life (first and subsequent) was 1.60 per child-year (95 % CI 1.54, 1.66). The incidence of NMF was higher among infants with low birth weight [adjusted hazard ratio (aHR) 1.22 (95 % CI 1.04-1.42) p = 0.012], infants from households of poor socio-economic status [aHR 1.22 (95 % CI 1.02-1.46) p = 0.027] and infants living furthest from a health facility [aHR 1.20 (95 % CI 1.01-1.43) p = 0.037]. The incidence of all episodes of NMF was similar among infants born to mothers with or without placental malaria [aHR 0.97 (0.87, 1.08; p = 0.584)]. Conclusion: The incidence of NMF in infancy is high in the study area. The incidence of NMF is associated with low birth weight and poor socioeconomic status but not with placental malaria.

A prospective birth cohort study to explore the relationship between placental malaria and malaria in infancy was conducted between 2008 and 2011 in the Brong-Ahafo region of Ghana; this study is described in detail elsewhere [19]. Malaria transmission in the study area is high (entomological inoculation rate - 269 infective bites/person/year) and perennial, but transmission peaks between April and October [20]. The health system in the study area is basic and includes public and private health facilities. Infant mortality rate is relatively high, estimated at 52 deaths per 1,000 live births in 2010 [21] and about 40 per 1000 live births in 2013 (Kintampo Health Research Centre, 2015 Report). Laboratory investigations for non-malarial infections are limited to bacterial cultures, which are available in only one health facility. The study procedures have been reported in detail elsewhere [19]. In summary, forty-two communities where good follow-up could be obtained were selected from within the Kintampo Health and Demographic Surveillance System (KHDSS). All pregnant women resident in the selected communities were identified using vital registers collated by community key informants or by staff of the KHDSS [21] who made home visits. At enrolment, demographic, socio-economic and obstetric characteristics of study women were recorded by trained fieldworkers using a standard questionnaire. Study women were followed throughout pregnancy until delivery and, whenever possible, a placental sample was obtained. The malaria status of the placenta was defined as showing either 1) an acute infection (parasites present with minimal pigment), 2) a chronic infection (parasites and substantial pigment present) 3) a past malaria infection (substantial pigment only) or 4) no evidence of malaria infection [22, 23]. Newborns of mothers who had been enrolled in the study prior to delivery were included in the infant cohort study. All infants recruited to the study (with the exception of those who died, migrated or were lost to follow-up) were followed for a minimum of 12 months. However, because recruitment to the study was gradual and children remained in follow-up until the end of the study in May 2011, some children were followed up to 24 months of age. Episodes of illness were detected passively at study clinics. To maximise capture of fevers, families were provided with health insurance for the duration of the study and encouraged to attend clinics whenever an infant was unwell. Furthermore, community-based fieldworkers facilitated transportation of sick infants to see a study clinician for clinical evaluation. On evaluation by a study clinician, a history of fever within the 48 h prior to the clinic visit was recorded and an axillary temperature was measured with a digital thermometer. Infants’ illnesses were investigated and managed according to the Ghana National Treatment Guidelines. Rapid diagnostic tests were used to diagnose malaria prior to treatment at the clinic. Thin and thick peripheral blood smears were also made and read subsequently, following the methods described by Swysen et al. [24]. Blood culture, serological or molecular assays for other infectious agents were not done routinely. Non-malaria fevers, the focus of this study, were defined as 1) the presence of fever (a history of fever in the last 48 h prior the clinic visit OR a measured axillary temperature ≥ 37.5 °C) and 2) no malaria parasitaemia detected by microscopy. The cause of death among the study cohort was assessed using verbal post mortem. Cleaned data were analyzed using STATA 13 (StataCorp, College Station, TX.). Principal component analysis of women’s durable assets was used to derive quintiles of socio-economic status (SES), as described previously [19, 25–27]. Cox regression models were used to determine hazard ratios for multiple episodes of NMF, using a robust standard error to account for within-child correlation. The Efron method was used for tied failure times. Potential risk factors including household characteristics: place of residence (urban, rural), household size (<5, 5–9, ≥10 residents), socio-economic status, roof construction (thatched or other); maternal characteristics: number of courses of intermittent preventive therapy in pregnancy (IPTp) received and infant characteristics: sex, birth weight (low, < 2.5 kg; normal), the season of birth (wet, April-November; dry, December-March), and ITN use. ITN use was assessed as tertiles (high, medium or low) based on scores of ITN use in the previous night of scheduled home visits made to access the presence of participants in the study area during follow up. The primary analysis covered the period from birth up to the age of 12 months. A previous study of non-malaria fevers in Benin [18] investigated non-malaria fevers by subtype in children less than 18 months of age. Since respiratory and gastrointestinal diseases are common among young children, the analysis was repeated to determine the incidence of NMFs accompanied by gastrointestinal and respiratory symptoms., Since, depending on the date of enrolment, some children were followed for longer than 12 months, we also conducted exploratory analyses of incidence patterns in the period 0–18 months and 6–18 months of age as in the Benin study. The study was approved by the ethics committees of the Kintampo Health Research Centre (KHRC), Ghana Health Service, London School of Hygiene & Tropical Medicine and Noguchi Memorial Institute for Medical Research. Written informed consent was sought from all study women.

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

1. Mobile health clinics: Implementing mobile health clinics that can travel to remote areas with limited access to healthcare facilities. These clinics can provide prenatal care, postnatal care, and other maternal health services to women who may not be able to easily access a traditional healthcare facility.

2. Telemedicine: Utilizing telemedicine technology to connect pregnant women in remote areas with healthcare professionals. This would allow for virtual consultations, monitoring, and guidance throughout pregnancy, reducing the need for women to travel long distances for routine check-ups.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and support to women in their own communities. These workers can help identify high-risk pregnancies, provide prenatal and postnatal care, and refer women to higher-level healthcare facilities when necessary.

4. Improving transportation infrastructure: Investing in transportation infrastructure, such as roads and bridges, to improve access to healthcare facilities for pregnant women in remote areas. This would make it easier for women to reach healthcare facilities in a timely manner, especially during emergencies.

5. Strengthening healthcare facilities: Enhancing the capacity and resources of existing healthcare facilities in high-risk areas. This includes ensuring they have the necessary equipment, trained staff, and medications to provide quality maternal health services.

6. Health education and awareness campaigns: Conducting health education and awareness campaigns to educate women and their families about the importance of prenatal care, nutrition, and safe delivery practices. This can help increase awareness and encourage women to seek timely and appropriate maternal healthcare.

It’s important to note that these recommendations are based on the information provided and may need to be tailored to the specific context and needs of the community in question.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Mobile Health Clinics: Implementing mobile health clinics in the high malaria endemic area of Ghana can improve access to maternal health services. These clinics can travel to remote communities, providing prenatal care, postnatal care, and healthcare services for infants. By bringing healthcare services closer to the communities, pregnant women and new mothers can receive timely and necessary care without having to travel long distances to health facilities.

This innovation can address the challenges identified in the study, such as low birth weight, poor socioeconomic status, and distance from health facilities. Mobile health clinics can provide comprehensive care, including prenatal check-ups, vaccinations, health education, and treatment for non-malaria fevers. Additionally, these clinics can be equipped with diagnostic tools and medications to identify and manage non-malarial infections.

By utilizing mobile health clinics, pregnant women and new mothers can have easier access to healthcare services, leading to improved maternal and infant health outcomes. This innovation can bridge the gap between communities and health facilities, ensuring that all women and infants receive the necessary care they need to stay healthy.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthening healthcare infrastructure: Invest in improving and expanding healthcare facilities, particularly in rural areas where access to maternal health services may be limited. This could include building new clinics, upgrading existing facilities, and ensuring availability of essential medical equipment and supplies.

2. Enhancing transportation services: Improve transportation options for pregnant women, especially in remote areas, to ensure they can easily access healthcare facilities for prenatal care, delivery, and postnatal care. This could involve providing subsidized or free transportation services, such as ambulances or community transport systems.

3. Increasing community awareness and education: Implement community-based education programs to raise awareness about the importance of maternal health and the available services. This could involve training community health workers to provide information on prenatal care, safe delivery practices, and postnatal care, as well as promoting the use of skilled birth attendants.

4. Strengthening referral systems: Establish effective referral systems between primary healthcare centers and higher-level facilities, such as district hospitals or regional referral hospitals. This would ensure that pregnant women with complications can be promptly referred to appropriate facilities for specialized care.

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

1. Define indicators: Identify key indicators to measure the impact of the recommendations, such as the number of pregnant women accessing prenatal care, the percentage of deliveries attended by skilled birth attendants, and the maternal mortality rate.

2. Baseline data collection: Collect baseline data on the selected indicators before implementing the recommendations. This could involve conducting surveys, reviewing existing health records, and interviewing healthcare providers and community members.

3. Implement interventions: Introduce the recommended interventions, such as improving healthcare infrastructure, enhancing transportation services, and conducting community awareness programs. Implement these interventions over a specified period of time.

4. Data collection during intervention: Continuously collect data on the selected indicators during the implementation of the interventions. This could involve regular monitoring and evaluation activities, including surveys, interviews, and record reviews.

5. Data analysis: Analyze the collected data to assess the impact of the interventions on the selected indicators. Compare the post-intervention data with the baseline data to determine any changes or improvements.

6. Interpretation and reporting: Interpret the findings of the data analysis and prepare a report summarizing the impact of the recommendations on improving access to maternal health. This report can be used to inform future decision-making and further improvements in maternal health services.

It is important to note that the specific methodology may vary depending on the context and available resources.

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