Limitations of maternal recall for measuring exclusive breastfeeding rates in South African mothers

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Study Justification:
– The study aimed to compare the accuracy of maternal recall and the stable isotope method in determining exclusive breastfeeding rates.
– The gold standard stable isotope method provides an objective measurement of breast milk intake, while maternal recall is commonly used but may be less accurate.
– Understanding the limitations and usefulness of these methods is important for accurately assessing exclusive breastfeeding rates.
Study Highlights:
– The study involved 100 mother-infant pairs in a peri-urban area in Durban, South Africa.
– Maternal recall of exclusive breastfeeding was compared to the objective measurement using the stable isotope technique at three time points: six weeks, three months, and 5.5 months.
– Overreporting of exclusive breastfeeding was common regardless of the cut-off value used for the stable isotope technique.
– There was only slight or fair agreement between reported and measured exclusive breastfeeding at all time points.
Recommendations for Lay Reader:
– Maternal recall of exclusive breastfeeding should be limited to large-scale epidemiological surveys.
– The more objective stable isotope method should be used to evaluate interventions with smaller representative samples.
– Accurate measurement of exclusive breastfeeding rates is important for understanding infant nutrition and evaluating breastfeeding interventions.
Recommendations for Policy Maker:
– Consider using the stable isotope method as the standard for measuring exclusive breastfeeding rates.
– Allocate resources to train and equip healthcare professionals in using the stable isotope method.
– Support research and interventions that promote accurate measurement of exclusive breastfeeding rates.
Key Role Players:
– Researchers and scientists experienced in using the stable isotope method.
– Healthcare professionals trained in administering the stable isotope method.
– Policy makers and government officials responsible for implementing breastfeeding initiatives.
Cost Items for Planning Recommendations:
– Training programs for healthcare professionals in using the stable isotope method.
– Equipment and supplies for administering the stable isotope method.
– Research funding for studies and interventions focused on accurate measurement of exclusive breastfeeding rates.

Background: Maternal recall is most commonly used to determine exclusive breastfeeding rates. A gold standard stable isotope method is available which can determine intake of breast milk versus water from sources other than breast milk and thus objectively determine exclusive breastfeeding. The objectives of this study were to determine exclusive breastfeeding rates by both maternal recall and the objective stable isotope method and discuss the limitations and usefulness of the two methods. Methods: The study involved 100 mother-infant pairs in a peri-urban area in Durban, South Africa and study visits took place from July 2012 to September 2014. Maternal recall of exclusive breastfeeding was carried out using the World Health Organization’s 24 hour recall of infant feeding and this was compared to the objective measurement of exclusive breastfeeding using the stable isotope technique at three time points: six weeks, three and 5.5 months. The objective measurements were carried out using two different cut off values for exclusive breastfeeding. Kappa analysis was used to quantify the relationship between maternal recall and results from the stable isotope technique for each mother-infant pair. Results: Over reporting of exclusive breastfeeding was common at the three different time points regardless of the cut off value used to assess exclusive breastfeeding by the stable isotope technique. Kappa analysis also revealed only slight or fair agreement (K<0.24) between reported and measured exclusive breastfeeding at all time points. Conclusions: Maternal recall of exclusive breastfeeding is limited in accuracy and should be restricted to large scale epidemiological surveys. The more objective gold standard stable isotope method for measuring intake volumes of breast milk should be used to evaluate interventions with smaller representative samples.

The study design was longitudinal and observational and was carried out at Cato Manor Clinic, also known as the Umkhumbane Community Health Centre, in Cato Manor, Durban, South Africa. Mothers could access the study site easily when coming from clinic visits and the clinic was located centrally in the community from which the participants were drawn. The study being reported on in this manuscript is a sub-study of a larger study whose main objective was to determine breast milk intake/output volumes at five different time points over 12 months during the period from July 2012 to September 2014 [16]. The sample size calculated to be adequate to answer this research question was 100 mother-infant pairs. The sub-study only included relevant data that was available for the first three time points (infant age of 6 weeks, 3 and 5.5 months). In order to be eligible for inclusion in the parent study [16], and therefore the sub-study, mothers had to be participating in the Improved Nutrition Program that was taking place concurrently at the Cato Manor Clinic. This was a program that provided approximately 16 breastfeeding and nutrition training sessions to mothers over a period of 12 months [16]. Other eligibility criteria for mothers included the following: well (no clinical symptoms or medical history of cardiac or other chronic conditions); no HIV or other infectious disease; intends to breastfeed her baby for 12 months; intends to live in the neighborhood of the recruitment clinic for 12 months after delivery; and African. However, recruitment was slow, and an amendment was approved by the Biomedical Research Ethics Administration of the University of KwaZulu-Natal (UKZN-BREC) in March 2013 that allowed asymptomatic HIV infected mothers to also participate in the study. This resulted in recruitment of 40 HIV infected and 60 HIV uninfected mothers. Exclusion criteria for the mother were: pregnancy; and BMI  2.3 kg. Exclusion criteria for the infant were: twins; any defect that interferes with feeding; and chronic illness e.g. congenital heart disease, cerebral palsy. A WHO 24 h recall questionnaire [17] was used to determine infant feeding by maternal recall at each study visit. Classification of exclusive breastfeeding at the first three time points of the study, viz. infant age of 6 weeks, 3 months and 5.5 months was done according to the WHO definition [18] of breast milk, vitamins and mineral supplements and medicine only. To determine exclusivity of breastfeeding, the DTM method was carried out at infant age of 6 weeks, 3 months and 5.5 months. The method involves the mother drinking an accurately measured 30-g dose of deuterium oxide (99.8% atom % purity, Sercon Ltd. UK, lot no. EB2039). Deuterium is a stable isotope of hydrogen, ie it is not radioactive and is considered safe and ethical for use in human studies and is also found in small quantities naturally in the body. No side effects have been noted at enrichment levels less than 0.2% and in this DTM method the deuterium enrichment level in the mother reaches a maximum of 0.1% in the body and less than half of that amount in the infant [19]. The dose of deuterium oxide given to the mother mixes rapidly with her body water and therefore also appears in her saliva and breast milk. If the infant is breastfed the deuterium oxide will pass through the breast milk to the infant and will then mix with the infant’s body water. The infant will thus have an enriched level of deuterium in its body water, which is sampled in its saliva. Saliva samples are taken from the mother and infant over a period of 14 days and the deuterium enrichment is measured in each sample using a Fourier Transform Infrared Spectrometer (FTIR) compared to their pre-dose saliva sample. Each saliva sample is measured twice and precision is high using this method, Coefficient of Variation (CV) values < 1% are achieved and enables differences in deuterium enrichment over time to be determined. The Solver function of Excel® is then used to fit the deuterium enrichment of the saliva samples from the mother and the infant over the 14-day period to model curves. This function minimizes the sum of the squares of the differences of the deuterium enrichments obtained from the FTIR and model values. This then yields values for breast milk intake (labeled water) and non-milk oral intake (NMOI, ie water from sources other than breast milk, which is unlabeled). An infant was determined to be exclusively breastfed according to the DTM method if the value of NMOI is ≤25 g/day [11]. A recent validation study [20] has proposed a higher cut off value of NMOI ≤82.6 g/day and therefore the results from the study are analyzed using both cut off values. The DTM method has been validated against the test weighing technique for measuring milk intake volumes and good correlations were observed [21]. It is a highly sensitive technique as deuterium enrichments in the infant’s saliva can only originate from the mother’s milk. A Kappa analysis was performed to validate reported infant feeding practice against the infant feeding practice as determined by the DTM method using STATA Version 13, © Statacorp, Texas, USA. Kappa analysis compares the observed level of agreement with the level of agreement expected by chance alone, with a scale of 0, representing an agreement that can be expected by chance alone, to 1.0 which would represent a perfect agreement (or − 1.0 a perfect disagreement) [22]. Further sub-classifications are: 0.01–0.20 slight agreement; 0.21–0.40 fair agreement; 0.41–0.60 moderate agreement; 0.61–0.80 substantial agreement and 0.81–1.00 almost perfect agreement.

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

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide information and support for pregnant women and new mothers. These apps can provide personalized health advice, track prenatal and postnatal care, and offer reminders for appointments and medication.

2. Telemedicine: Implement telemedicine services to allow pregnant women in remote or underserved areas to access healthcare professionals through video consultations. This can help overcome geographical barriers and provide timely medical advice and support.

3. Community Health Workers: Train and deploy community health workers who can provide education, counseling, and basic healthcare services to pregnant women and new mothers in their own communities. These workers can help bridge the gap between healthcare facilities and the community, improving access to maternal health services.

4. Maternal Health Vouchers: Introduce voucher programs that provide financial assistance to pregnant women, enabling them to access essential maternal health services such as antenatal care, delivery, and postnatal care. These vouchers can be distributed through community health centers or local organizations.

5. Maternal Health Clinics: Establish dedicated maternal health clinics that offer comprehensive services including antenatal care, delivery, postnatal care, family planning, and counseling. These clinics can provide specialized care and support for pregnant women and new mothers, ensuring they receive the necessary care throughout the maternal health continuum.

6. Health Education Programs: Develop and implement health education programs that focus on maternal health, targeting both pregnant women and their families. These programs can provide information on prenatal care, nutrition, breastfeeding, and postnatal care, empowering women to make informed decisions about their health.

7. Public-Private Partnerships: Foster collaborations between public and private sectors to improve access to maternal health services. This can involve leveraging private healthcare providers and facilities to expand service coverage, implementing public-private insurance schemes, or establishing referral networks for specialized care.

8. Maternal Health Monitoring Systems: Implement digital systems for monitoring and tracking maternal health indicators, such as exclusive breastfeeding rates. These systems can provide real-time data to healthcare providers and policymakers, enabling them to identify gaps in service delivery and target interventions effectively.

9. Maternal Health Awareness Campaigns: Launch awareness campaigns to educate communities about the importance of maternal health and encourage early and regular utilization of maternal health services. These campaigns can use various media channels, community engagement activities, and partnerships with local influencers to reach a wide audience.

10. Maternal Health Research and Innovation: Invest in research and innovation to continuously improve maternal health outcomes. This can involve conducting studies on effective interventions, developing new technologies for monitoring and managing maternal health, and fostering collaborations between researchers, healthcare providers, and policymakers.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health would be to implement the gold standard stable isotope method for measuring exclusive breastfeeding rates. This method provides an objective measurement of breast milk intake versus water from other sources, allowing for a more accurate assessment of exclusive breastfeeding. By using this method, interventions can be evaluated with smaller representative samples, leading to more targeted and effective interventions to improve maternal and infant health. Maternal recall should be restricted to large-scale epidemiological surveys due to its limitations in accuracy. Implementing the stable isotope method can help overcome these limitations and provide more reliable data for monitoring and improving access to maternal health.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Implement mobile health (mHealth) solutions: Develop mobile applications or text messaging services to provide pregnant women with information on prenatal care, nutrition, and breastfeeding. These tools can also be used to schedule appointments and send reminders for check-ups.

2. Expand telemedicine services: Use telecommunication technology to connect pregnant women in remote or underserved areas with healthcare providers. This can help overcome geographical barriers and provide access to prenatal consultations, advice, and monitoring.

3. Establish community health worker programs: Train and deploy community health workers to provide education, support, and basic healthcare services to pregnant women in their communities. These workers can help improve access to maternal health services, especially in areas with limited healthcare infrastructure.

4. Strengthen referral systems: Develop and implement effective referral systems to ensure that pregnant women can easily access specialized care when needed. This includes establishing clear communication channels between primary healthcare providers and hospitals or clinics that offer specialized maternal health services.

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 measure access to maternal health, such as the number of prenatal visits, percentage of women receiving adequate prenatal care, or the rate of skilled birth attendance.

2. Collect baseline data: Gather data on the current state of access to maternal health services in the target population. This can be done through surveys, interviews, or analysis of existing data sources.

3. Develop a simulation model: Create a mathematical or computational model that simulates the impact of the recommended interventions on the identified indicators. This model should take into account factors such as population size, geographical distribution, healthcare infrastructure, and the effectiveness of the interventions.

4. Input intervention parameters: Specify the parameters of the recommended interventions, such as the coverage of mHealth services, the number of community health workers deployed, or the capacity of the telemedicine system. These parameters should be based on realistic assumptions and available resources.

5. Run simulations: Use the simulation model to project the potential impact of the interventions over a specified time period. This can be done by varying the intervention parameters and observing the resulting changes in the indicators of access to maternal health.

6. Analyze results: Evaluate the simulation results to assess the effectiveness of the recommended interventions in improving access to maternal health. Identify the most impactful interventions and determine any potential trade-offs or limitations.

7. Refine and iterate: Based on the analysis, refine the simulation model and intervention parameters as needed. Repeat the simulation process to further optimize the interventions and estimate their long-term impact.

By following this methodology, policymakers and healthcare providers can gain insights into the potential benefits and challenges of implementing specific innovations to improve access to maternal health.

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