Effect of maternal employment on child nutritional status in Bale Robe Town, Ethiopia: a comparative cross-sectional analysis

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Study Justification:
The study aimed to assess the effect of maternal employment on the nutritional status of children aged 6-23 months in Bale Robe Town, Ethiopia. Adequate nutrition is crucial for early childhood development, including healthy growth, organ formation, immune system strength, and cognitive development. Understanding the impact of maternal employment on child nutrition is important for policymakers and stakeholders to develop effective interventions and policies.
Highlights:
– The study found that children born to employed mothers had higher rates of stunting, underweight, and wasting compared to children of unemployed mothers.
– Being a girl significantly protected against stunting in both employed and unemployed mothers.
– The study demonstrated that the nutritional status of children aged 6-23 months is better among unemployed mothers.
– Concerted efforts are needed to decrease child undernutrition in Bale Robe Town.
Recommendations:
– Policymakers should prioritize interventions to improve child nutrition, particularly among children of employed mothers.
– Programs should focus on promoting adequate nutrition for children aged 6-23 months, including dietary diversity and meal frequency.
– Efforts should be made to address the gender disparities in child nutrition and ensure equal access to nutritious food for both boys and girls.
– Collaboration between government agencies, non-governmental organizations, and community stakeholders is crucial to implement effective interventions.
Key Role Players:
– Government agencies responsible for health and nutrition policies and programs.
– Non-governmental organizations working in the field of child nutrition and development.
– Community leaders and local authorities.
– Health professionals, including doctors, nurses, and nutritionists.
– Researchers and academics specializing in child nutrition.
Cost Items for Planning Recommendations:
– Development and implementation of nutrition education programs targeting mothers and caregivers.
– Training and capacity building for health professionals and community workers.
– Provision of nutritious food supplements for children in need.
– Monitoring and evaluation of interventions to assess their effectiveness.
– Research and data collection to inform evidence-based policies and programs.
– Advocacy and awareness campaigns to promote child nutrition and raise public support.
– Infrastructure and logistics for the delivery of nutrition services and interventions.

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 community-based comparative cross-sectional analysis, which allows for comparisons between employed and unemployed mothers. The sample size is relatively large (597 participants), and statistical analysis was conducted using descriptive statistics, binary and multivariable logistic regression. However, the abstract lacks information on the representativeness of the sample and the generalizability of the findings. To improve the strength of the evidence, future studies could consider using a larger and more diverse sample, ensuring random sampling techniques, and providing more details on the study population and methodology.

Adequate nutrition is essential for early childhood to ensure healthy growth, proper organ formation, and function, a strong immune system, neurological and cognitive development. The main aim of the present study was to assess the effect of maternal employment on nutritional status among children aged 6-23 months in the town of Bale Robe, Ethiopia. A community-based comparative cross-sectional study was conducted on about 597 (293 unemployed and 304 employed) having children aged 6-23-month-old children sampled were employed with a multistage sampling technique. A face-to-face interview was conducted using a structured pretested questionnaire. Descriptive statistics, binary and multivariable logistic regression analyses were used for the statistical analysis. The magnitude of stunting (39.9 %), underweight (39â 9 %) and wasting (22â 2 %) was greater in 6-23-month-old children born to employed mothers than their counterparts in unemployed ones [stunted (31â 3 %), underweight (24â 0 %) and wasted (11â 8 %)]. Being a girl [AOR 0â 31; 95 % CI (0â 17, 0â 54)] in employed mothers and [AOR 0â 29; 95 % CI (0â 16, 0â 51)] in unemployed people significantly protected stunting. This study demonstrated that the nutritional status of 6-23-month-old children is better among unemployed mothers than among employed mothers. Therefore, concerted efforts may decrease child undernutrition in a study area.

The present study was conducted in Robe town. This town is located 430 km from Addis Ababa, in the south-east of the country. The altitude is between 2510 and 2800 m above sea level. It receives rain in two seasons, with average downfalls ranging from 800 to 900 mm. The town has three kebeles with total households of 12 883 and a total population of 71 458 (36 015 males and 35 443 females) according to the 2020 projection. Likewise, there are 4452 children aged 6–23 months. In the town, there is one preparatory school, two high schools, thirteen first-cycle primary schools (grades 1–4 elementary school) and thirty-six public and private health facilities. A community-based comparative cross-sectional study was conducted in April 2020. The source population for this study was all employed and unemployed mothers who have children aged 6–23 months in the city of Bale Robe. The study population was selected with a simple random group of employed and unemployed mothers from the source population. All employed and unemployed mothers who have children aged 6–23 months and live in Bale Robe were eligible for this study. However, mother–child pairs that were severely sick and chronic patients at the time of the survey were not included in this study. The sample size was calculated using G* power software 3.1.9.7 considering the prevalence of underweight among employed mother–child dyads P2 6⋅3 % and unemployed ones P1 16⋅4(22), design effect 2⋅0 and 5 % non-response rate. The final sample size was 648 (324 employed and 324 unemployed) (Table 1). The sample size determination by using G* power software 3.1.9.7 of mother–child dyads aged 6–23 months in Bale Robe Town, Ethiopia, 2020 (n 597) A multistage sampling technique was used. Two kebeles (the lowest administrative unit) were selected from the total of three by simple random sampling. The sample frame was prepared after house-to-house listing of households with children aged 6–23 months among employed and unemployed mothers. The study participants were then randomly selected based on the sampling frame. In households with more than one child aged 6–23 months, one was selected using the lottery method (Fig. 1). Sampling procedures for selecting 648 mothers for study in Robe town, 2020. A semi-structured questionnaire was used to collect data on socio-economic and demographic characteristics, healthcare, infant and young child feeding practices (IYCF). The household food security access scale questionnaire was used to assess the state of household food security. Anthropometric measurements were taken by trained data collectors to avoid intra-observer variation using calibrated equipment and standardised techniques. A recumbent length measurement was taken to the nearest 0⋅1 cm using the short height measuring board (short productions, Woonsocket, RI, UK) with the subjects shoeless(23). Weight was measured using a UNICEF Seca electronic personal scale (Seca 881U). Women were asked to remove their children’s thick cloth during the measurements. The instrument was calibrated before each measurement. The circumference of the middle of the upper arm was measured with a measuring tape to the nearest to 0⋅1 mm(24). The child’s age was collected from the mother. It was confirmed using a birth certificate, a vaccination card and local-events calendar(23,25). The questionnaire was first developed in English and translated into the local language Afaan Oromo and then translated back to English by language experts to verify its consistency. Data collectors with experience who are fluent in the local language were recruited. The pre-test was conducted by 5 % of the sample size to check the quality of the questionnaire and make appropriate modifications before duplication of the final version on population outside the sampled kebeles. In order to minimise intra-observer errors, two measurements of height and weight for each child was registered by a single observer, and the third measurement was considered for those cases where the difference between the two measurements was greater than 0⋅5 cm or 0⋅1 kg. The completeness and consistency of the data was checked before the respondent left. Data collection was supervised daily on site by the recruited supervisors and the principal investigator. Extreme values of z-score, >5 or  0⋅05). The odds ratio with a 95 % confidence interval was reported to show the strength of the associations between the outcome and predictor variables. The statistical significance was declared at a P-value < 0⋅05. Wealth index was assessed using household assets via principal component analysis adopted from(26,27). This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects/patients were approved by the Institutional Review Board of Hawassa University (Reference number: HU/IRB/215/20; dated: 13 March 2020). Informed (written) consent was obtained from mothers/caregivers with signature/fingerprint all study subjects. A letter of permission was received from the administrative district and zonal health department. A child with height/length-for-age (H/LAZ) below −2 standard errors compared with the reference group (Z-score < −2) is considered to be stunted(28). A child with weight-for-age (WAZ) below −2 standard errors compared with the reference group (Z-score < −2) is considered to be underweight(28). A child with weight-for-height/length age (WH/LZ) below −2 standard errors compared with the reference group (Z-score < −2) is considered to be wasted(28). Household food insecurity (HFI) was measured using the Household Food Insecurity Access Scale (HFIA), which has nine questions and is related to the households’ experience of food insecurity in the 12 months preceding the survey(29). Then, the HFIA prevalence indicators were categorised households into four(30) levels of HFI: food secure, mild, moderately and severely food insecure. For the present study, only two levels other Household Food Insecurity Access Scale (food secure and insecure) was used because the sample size for this study was small(31). Maternal employment was defined as the mother's report of whether or not she worked for earnings in the past week. A woman was considered to be an ‘employed’ if she had reported earning income at least three times during the past week weather formal or informal categories, with formal referring to regular wage work, such as governmental or non-governmental organisation employee permanently, and informal referring to street vending, domestic work or vending from a fixed location. A women who have no permanent work or not having any informal work category is considered as unemployed(32). The minimum acceptable diet is a composite indicator defined as the proportion of children aged 6–23 months who met both minimum dietary diversity and the minimum meal frequency during the previous 24 h(28).

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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 pregnant women and new mothers with access to important health information, such as nutrition guidelines, prenatal care schedules, and postpartum care instructions. These apps can also include features like appointment reminders and medication trackers.

2. Telemedicine Services: Implement telemedicine services that allow pregnant women and new mothers to consult with healthcare professionals remotely. This can help overcome geographical barriers and provide access to medical advice and support, especially in rural areas where healthcare facilities may be limited.

3. Community Health Workers: Train and deploy community health workers who can provide education and support to pregnant women and new mothers in their own communities. These workers can conduct home visits, offer guidance on nutrition and breastfeeding, and connect women to appropriate healthcare services.

4. Maternal Health Vouchers: Introduce voucher programs that provide pregnant women with financial assistance to access essential maternal health services, such as prenatal care, delivery, and postpartum care. These vouchers can be distributed through healthcare facilities or community organizations.

5. Maternal Health Clinics: Establish specialized maternal health clinics that offer comprehensive care for pregnant women and new mothers. These clinics can provide prenatal check-ups, childbirth services, postpartum care, and family planning support in one location, making it easier for women to access the care they need.

6. Health Education Campaigns: Launch targeted health education campaigns that raise awareness about the importance of maternal health and provide information on healthy pregnancy practices. These campaigns can use various mediums, such as radio, television, social media, and community events, to reach a wide audience.

7. Maternity Waiting Homes: Set up maternity waiting homes near healthcare facilities in remote areas. These homes provide a safe and comfortable place for pregnant women to stay as they approach their due dates, ensuring they are close to medical assistance when needed.

8. Transportation Support: Develop transportation support systems that help pregnant women and new mothers overcome transportation barriers to accessing healthcare. This can include providing subsidized or free transportation services or partnering with existing transportation networks to ensure reliable and affordable transportation options.

9. Maternal Health Hotlines: Establish toll-free hotlines staffed by trained healthcare professionals who can provide information, advice, and support to pregnant women and new mothers. These hotlines can be available 24/7 and offer services in multiple languages.

10. Maternal Health Monitoring Systems: Implement digital health solutions that allow healthcare providers to remotely monitor the health of pregnant women and new mothers. This can include wearable devices that track vital signs, mobile apps for self-reporting symptoms, and remote monitoring platforms for healthcare professionals to review and intervene when necessary.

These innovations aim to improve access to maternal health services, enhance health education and support, and address the specific challenges faced by pregnant women and new mothers in accessing quality care.
AI Innovations Description
Based on the description provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Implement targeted interventions: Based on the findings of the study, it is important to implement targeted interventions to improve the nutritional status of children aged 6-23 months born to employed mothers in Bale Robe Town, Ethiopia. These interventions should focus on addressing the specific factors that contribute to undernutrition in this population, such as inadequate dietary diversity and meal frequency.

2. Enhance maternal employment support: Recognizing the impact of maternal employment on child nutritional status, it is crucial to provide support for employed mothers to ensure that they can balance their work responsibilities with their caregiving duties. This can include initiatives such as flexible working hours, on-site childcare facilities, and breastfeeding-friendly workplaces.

3. Strengthen maternal and child healthcare services: To improve access to maternal health, it is important to strengthen healthcare services in Bale Robe Town. This can involve increasing the number of public and private health facilities, improving the quality of care provided, and ensuring that essential maternal and child health services are available and accessible to all mothers and children.

4. Promote maternal education and awareness: Education plays a crucial role in improving maternal and child health outcomes. Therefore, it is important to promote maternal education and awareness about the importance of nutrition, breastfeeding, and proper infant and young child feeding practices. This can be done through community-based education programs, antenatal and postnatal care services, and the involvement of community health workers.

5. Address socio-economic factors: Socio-economic factors, such as household food insecurity, can significantly impact maternal and child health. Therefore, it is important to address these factors by implementing interventions that aim to improve household food security, enhance income-generating opportunities for families, and reduce poverty levels in the community.

By implementing these recommendations, it is possible to develop an innovation that can improve access to maternal health and ultimately enhance the nutritional status and overall well-being of children in Bale Robe Town, Ethiopia.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Increase awareness and education: Implement community-based education programs to raise awareness about the importance of maternal health and nutrition. This can include educating women and their families about the benefits of proper nutrition during pregnancy, breastfeeding, and early childhood.

2. Strengthen healthcare infrastructure: Improve the availability and accessibility of healthcare facilities, especially in rural areas. This can involve building more clinics and hospitals, ensuring they are well-equipped with necessary resources, and training healthcare professionals to provide quality maternal healthcare services.

3. Enhance antenatal and postnatal care: Develop and implement comprehensive antenatal and postnatal care programs that provide regular check-ups, screenings, and counseling for pregnant women and new mothers. This can help identify and address any health issues early on and provide necessary support and guidance.

4. Promote breastfeeding support: Establish breastfeeding support programs that provide education, counseling, and assistance to mothers to initiate and sustain breastfeeding. This can include training healthcare professionals and community volunteers to provide accurate information and support to breastfeeding mothers.

5. Improve transportation and logistics: Address transportation barriers by improving road infrastructure and transportation services to ensure pregnant women can easily access healthcare facilities. Additionally, establish systems for timely and efficient delivery of essential maternal health supplies, such as medications and equipment.

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

1. Define indicators: Identify specific indicators that can measure the impact of the recommendations, such as the percentage of pregnant women receiving regular antenatal care, the percentage of women exclusively breastfeeding, or the percentage of women with access to skilled birth attendants.

2. Collect baseline data: Gather data on the current status of maternal health access and related indicators in the target area. This can involve conducting surveys, interviews, or reviewing existing data sources.

3. Implement interventions: Implement the recommended interventions in the target area over a specified period of time. This can involve collaborating with local stakeholders, healthcare providers, and community members to ensure effective implementation.

4. Monitor and evaluate: Continuously monitor and evaluate the progress and impact of the interventions. This can include collecting data on the selected indicators at regular intervals and comparing them to the baseline data.

5. Analyze and interpret data: Analyze the collected data to assess the impact of the interventions on improving access to maternal health. This can involve statistical analysis, such as comparing pre- and post-intervention data or conducting regression analyses to identify factors influencing the outcomes.

6. Draw conclusions and make recommendations: Based on the analysis, draw conclusions about the effectiveness of the interventions and their impact on improving access to maternal health. Use these findings to make recommendations for further improvements or adjustments to the interventions.

7. Disseminate findings: Share the findings with relevant stakeholders, policymakers, and the community to raise awareness and advocate for continued support and investment in maternal health initiatives.

By following this methodology, it is possible to simulate the impact of the recommendations on improving access to maternal health and make evidence-based decisions for future interventions.

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