Birth weight was associated with maternal exposure to intimate partner violence during pregnancy in southern Ethiopia: A prospective cohort study

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Study Justification:
This study aimed to investigate the association between maternal exposure to intimate partner violence (IPV) during pregnancy and birth weight in a community in southern Ethiopia. The justification for this study is based on the following reasons:
1. Limited data: Official statistics may lack data on women exposed to IPV during pregnancy because they may prefer to deliver at home, where birth weights are not routinely recorded. This study aimed to fill this data gap.
2. Health implications: Birth weight is an important indicator of newborn health and development. Understanding the association between IPV and birth weight can help identify potential risks and inform interventions to improve maternal and child health outcomes.
Highlights:
The key findings of this study are as follows:
1. Lower birth weight: Newborns of women exposed to IPV during pregnancy had a birth weight that was, on average, 203 grams lower compared to newborns of unexposed women.
2. Other factors: Birth weight was also lower in girls compared to boys, in newborns delivered at home rather than in a health facility, and in babies with a younger gestational age.
Recommendations:
Based on the study findings, the following recommendations can be made:
1. Routine identification of IPV-exposed women: Antenatal clinics should consider routinely identifying women who have been exposed to IPV during pregnancy. This can help provide appropriate support and interventions to improve maternal and child health outcomes.
2. Importance of identifying low birth weight babies: Identifying babies with lower birth weights at home is an important indicator. This can help healthcare providers monitor and provide necessary interventions to improve the health and well-being of these newborns.
Key Role Players:
To address the recommendations, the following key role players are needed:
1. Healthcare providers: Antenatal clinics and healthcare providers play a crucial role in identifying and supporting women exposed to IPV during pregnancy. They can provide necessary healthcare services and interventions to improve maternal and child health outcomes.
2. Community health workers: Community health workers can play a vital role in identifying and referring women who have experienced IPV during pregnancy. They can also provide support and education to women and their families.
3. Social workers and counselors: Social workers and counselors can provide psychological and emotional support to women who have experienced IPV during pregnancy. They can also help connect them with appropriate resources and services.
Cost Items for Planning Recommendations:
While the actual cost may vary, the following cost items should be considered in planning the recommendations:
1. Training and capacity building: Costs associated with training healthcare providers, community health workers, social workers, and counselors on identifying and supporting women exposed to IPV during pregnancy.
2. Awareness campaigns: Costs for developing and implementing awareness campaigns to educate the community about the importance of identifying IPV-exposed women and low birth weight babies.
3. Healthcare services: Costs for providing necessary healthcare services, including antenatal care, counseling, and support services for women exposed to IPV during pregnancy.
4. Referral systems: Costs for establishing and maintaining referral systems to ensure that women who have experienced IPV during pregnancy can access appropriate support services.
5. Monitoring and evaluation: Costs for monitoring and evaluating the implementation and effectiveness of interventions aimed at addressing IPV and improving birth outcomes.
Please note that these cost items are estimates and may vary depending on the specific context and resources available.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is a prospective cohort study, which is generally considered to provide stronger evidence compared to other study designs. The sample size was calculated using appropriate statistical methods, and the study followed ethical guidelines. The study also adjusted for potential confounding factors in the regression analysis. However, there are a few areas that could be improved. First, the abstract does not provide information on the representativeness of the study sample, which could affect the generalizability of the findings. Second, the abstract does not mention the response rate, which is important for assessing the potential for selection bias. Third, the abstract does not provide information on the validity and reliability of the measurement tools used, such as the questionnaire for assessing intimate partner violence and the digital baby scale for measuring birth weight. Including this information would strengthen the evidence. To improve the evidence, future studies could consider addressing these limitations by providing information on sample representativeness, response rate, and the validity and reliability of measurement tools.

Introduction: Birth weight is defined as the first weight of the newborn, ideally measured soon after birth. A recent Ethiopian survey estimated that 48% of births took place in health facilities. Data for women exposed to intimate partner violence (IPV) may be lacking in official statistics because these women may prefer to deliver at home, where data from non-institutional births, including reporting of birth weights, are not routinely recorded. Objective: The aim of this study was to investigate the association between maternal exposure to IPV during pregnancy and birth weight in a community in the Wondo Genet district of southern Ethiopia. Methods: We carried out a community-based prospective cohort study from February to December 2017. We followed up with 505 pregnant women and their newborns until after delivery. An interview about partner violence was done during pregnancy at home when enrolled. Field assistants who visited the homes measured the birth weight of each baby in grams. Twins and late birth weight measurements were excluded. Factors associated with birth weight were assessed by multiple linear regression. Results: Birth weight was assessed within 48 h for 477 (94.5%) newborns and between 48 and 72 h for an additional 28 (5.5%). There were 365 (72.3%) institutional deliveries. In an adjusted regression analysis (IPV adjusted for socio-economic status), birth weight was 203 g lower (B −203 95% CI −320 to −87) among newborns of women exposed to IPV than among the unexposed. Birth weight was also lower in girls than in boys, in newborns delivered at home rather than in a health facility, and in babies with a younger gestational age. Conclusion: Maternal exposure to IPV during pregnancy was associated with lower baby birth weights. Antenatal clinics should consider routinely identifying IPV-exposed women, and identifying babies with lower birth weights at home is an important indicator.

The study was conducted in the Wondo Genet district located in the former Sidama zone of the Southern Nations, Nationalities, and Peoples Region (SNNPR). Based on the 2007 census and an annual population growth rate of 2.7% (21), the district’s projected total population in 2017 was 200 078. The number of women of reproductive age was estimated to be 46 618 with 6 923 expected pregnancies in a year. Wondo Genet district has a high population density and ethnic diversity. The district has three urban and 12 rural kebeles (Kebele is the smallest administrative unit in Ethiopia). There are 16 health posts and five health centers serving the population. The nearest hospital is in a neighboring district. Among the pregnant women attending antenatal care, 88% had four visits in 2016; only 10% of women in this area delivered at home (Wondo Genet district health office report, 2017). The 2016 Ethiopian DHS indicated that around 69% of women attended antenatal care at least once during their last pregnancy and institutional delivery was 26% in the region (SNNPR). Among women who delivered their most recent live birth in a health facility, 53% of them stayed in the facility for up to 11 h following vaginal birth (16). In this study area, women are often discharged from health facilities 6 h after a normal delivery. This was a community-based prospective cohort study investigating IPV. It was conducted between February and December 2017 among pregnant women who were enrolled at gestational age 25–34 weeks as listed by health extension workers (22) in two urban and three rural kebeles of the Wondo Genet district. The mothers and their babies were visited at home. We excluded twins and mother–baby pairs with late (i.e., invalid) birth weight measurements. In this article, we focused on IPV and its association with birth weight. The sample size to investigate the association between IPV and birth weight was calculated using OpenEpi version 3.03 software (23). The total sample size was estimated to be at least 435 based on an average birth weight of 3,000 g among unexposed and 2,850 g among exposed, with standard deviations of 423 g and 450 g, a ratio of unexposed to exposed of 4:1 (20), 80% statistical power, and 95% confidence level. The present work was part of a larger project (20) that required a sample size larger than this, so the sample size requirement for this study was met. Pregnant women living in the selected kebeles were enrolled through home visits. The sites were identified as being “urban” or “rural” according to the Ethiopian DHS definition of these terms (16). The selection of kebeles was decided based on the number of pregnant women in the areas as reported by the health extension workers. Pregnant women who fulfilled the inclusion criteria were consecutively enrolled in the study until the required sample size was obtained. The main outcome variable was birth weight measured in grams. The main exposure variable for this study was IPV during pregnancy, assessed in a home visit at enrollment using questions adapted from the WHO multi-country study questionnaire on women’s health and domestic violence against women (24). In the present study, IPV exposure in “the past 12 months” in the WHO study was changed to “during this pregnancy.” IPV was classified as being physical, sexual, or emotional. The respondents were given examples of physical violence including: partner had slapped or thrown something at her that could hurt her, pushed or shoved her, hit her with fist or something else that could hurt her, kicked, dragged or beaten her up, choked or burnt her on purpose, threatened to use or actually used a gun, knife, or other weapon against her. Examples of sexual violence included: partner had physically forced her to have sexual intercourse when she did not want to, had sexual intercourse when she did not want to because she was afraid of what her partner might do, and had forced her to do something sexual that she found degrading or humiliating. Examples of emotional violence included: partner had insulted her or made her feel bad about herself, had belittled or humiliated her in front of other people, had done things to scare or intimidate her on purpose, and had threatened to hurt someone she cared about. If the woman had experienced any of the three types of violence defined above, she was categorized as “IPV exposed.” Other covariates included the mother’s age (years), educational status of the mother and her partner (no education/primary/secondary and above), monthly income (Ethiopian Birr), residence (rural/urban), prior history of preterm birth and stillbirth (no/yes), antenatal care at least one visit (no/yes), smoking (no/yes), and regular alcohol use (no/yes) by participants or their partner. The Edinburgh Postnatal Depression Scale (EPDS) was used to measure maternal depression (25), and has been validated by previous studies in Ethiopia (26). Each of the 10 items in the EPDS has scores of 0–3; giving a maximum score of 30. Maternal depression was measured as a continuous variable with an EPDS score; we defined depression in this analysis as an EPDS score of 13 or more (27). A Maternity Social Support Scale with six items was used to measure social support. Each item has a score of 1–5, and the total score ranges from 6 to 30. Social support was categorized as low (score 0–18), medium (score 19–24), and high (score > 24) (28). Maternal malnutrition was assessed by mid-upper arm circumference (MUAC) and was measured in centimeters; undernutrition was set at MUAC <23 cm. The sex of the newborn (male/female/unknown) and its birth order (first/second and above) were recorded. The data were collected between February and December 2017. The data used to achieve the objectives of the present study are the same as described for the previously mentioned survey of IPV in the study area (20), with the same baseline data. We added follow-up data on birth characteristics, such as time of birth; whether the birth was live or not; sex of the newborn, and birth weight collected at a home visit as soon as possible within 72 h (time after delivery was noted for each participant). We collected data on selected variables that could be potential confounders. The main exposure variables were collected by trained data collectors using a structured and pretested questionnaire. The exposure status was determined based on the survey data from the baseline study. Birth weight was measured using a digital baby scale (Beurer BY 80), and the reliability of the scale was routinely checked by regularly measuring something of known weight. The mid-upper arm circumference (MUAC) was measured using a centimeter tape at the midpoint between the shoulder and elbow with the arm hanging down at the side relaxed. A MUAC below 23 cm defined a participant as being “malnourished.” The woman was asked for the date of her last menstrual period, which was used to calculate gestational age. When the exact date was unknown, the mother was asked to provide the alleged month. The field assistants actively sought out the women in person to check for delivery. They also used mobile phones. In addition, they were notified through mobile phone by the 1-to-5 network leaders as well as by the participants themselves, so that they recorded the exact date and time of birth for all births, whether they took place at home or at a health facility. The field assistants measured birth weight using a digital scale as soon as possible after delivery according to the operating instructions. They also recorded whether it was a live birth or stillbirth. Based on the last menstrual period, the principal investigator later determined whether the birth was term or not. Data were analyzed using SPSS version 20 (Armonk, NY: IBM Corp. USA) software. Chi-square and Fisher's exact tests were used to compare categorical variables. Mean values were compared using t-tests and analyses of variance. Multiple linear regression was performed to investigate the association between birth weight and maternal exposure to IPV during pregnancy (shown in Table 3). Other selected determinants were also studied. Preliminary analyses ensured that there was no violation of the assumption of normality, linearity, multicollinearity, and homoscedasticity. Complete case analysis was used for missing values to minimize potential bias. Variables having a correlation with birth weight at p < 0.2 levels and socio-economic and demographic variables were entered in the adjusted regression model. Maternal age, MUAC, and monthly income were entered as continuous variables. An adjusted regression coefficient (B) with a 95% confidence interval was reported. A p-value was considered statistically significant when < 0.05. Sensitivity analysis was also performed in a group of neonates whose birth weights were taken within the first 48 h after birth. We also analyzed risk factors for LBW (birth weight < 2,500 g) using logistic regression analysis (data not presented in a table). The study was conducted after obtaining approval from the Institutional Review Board (IRB) at the College of Medicine and Health Sciences, Hawassa University (Ref No: IRB/006/09) and regional ethical committee of Western Norway (Ref No: 2016/1908/REK vest). Permission from the parents as well as assent was obtained for those 18 years and recorded by the interviewer, according to the protocol approved by IRB. The study followed the ethical and safety guidelines recommended by the World Health Organization (29). All women who participated in the study were given information about the psychological and legal support available and how access could be provided if needed. This support would be paid for by the study project.

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

1. Mobile Health (mHealth) Solutions: Develop mobile applications or SMS-based systems to provide pregnant women with information about antenatal care, nutrition, and safe delivery practices. These platforms can also be used to send reminders for appointments and medication adherence.

2. Community Health Workers: Train and deploy community health workers to provide education, support, and referrals for pregnant women in rural areas. These workers can conduct home visits, monitor maternal health, and connect women to appropriate healthcare facilities.

3. Telemedicine: Implement telemedicine services to enable pregnant women in remote areas to consult with healthcare professionals and receive prenatal care remotely. This can help overcome geographical barriers and improve access to specialized care.

4. Maternal Health Vouchers: Introduce voucher programs that provide pregnant women with subsidized or free access to antenatal care, delivery services, and postnatal care. These vouchers can be distributed through community health centers or local organizations.

5. Maternal Waiting Homes: Establish maternal waiting homes near healthcare facilities to accommodate pregnant women who live far away. These homes provide a safe and comfortable place for women to stay before and after delivery, ensuring timely access to healthcare services.

6. Transportation Support: Develop transportation initiatives, such as community-based transportation services or partnerships with local transport providers, to ensure pregnant women can easily access healthcare facilities for antenatal care and delivery.

7. Strengthening Health Infrastructure: Invest in improving and expanding healthcare facilities, particularly in rural areas, to ensure adequate availability of skilled healthcare providers, essential equipment, and supplies for safe deliveries.

8. Maternal Health Education Programs: Implement comprehensive maternal health education programs that target both women and their families. These programs can focus on promoting healthy behaviors, raising awareness about the importance of antenatal care, and addressing cultural beliefs and practices that may hinder access to maternal healthcare.

9. Integration of IPV Screening: Integrate screening for intimate partner violence (IPV) into routine antenatal care services. This can help identify women at risk and provide appropriate support and referrals to ensure their safety and well-being.

10. Public-Private Partnerships: Foster collaborations between the public sector, private healthcare providers, and non-governmental organizations to improve access to maternal health services. These partnerships can leverage resources, expertise, and infrastructure to expand service delivery and reach underserved populations.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Routine identification of intimate partner violence (IPV)-exposed women: Antenatal clinics should consider routinely identifying women who have been exposed to IPV during pregnancy. This can be done through the use of standardized questionnaires or screening tools to assess for IPV. By identifying IPV-exposed women, healthcare providers can offer appropriate support and interventions to address their specific needs.

2. Enhanced data collection: In order to improve access to maternal health, it is important to collect comprehensive and accurate data on birth outcomes, including birth weight. This can be achieved by implementing standardized data collection protocols in both health facilities and home births. Health workers should be trained on the importance of collecting and recording birth weight data, and efforts should be made to ensure that all births, regardless of the location, are included in official statistics.

3. Community-based interventions: Given that a significant proportion of births in the study area took place at home, community-based interventions can play a crucial role in improving access to maternal health. This can include training community health workers to provide antenatal care services, conducting home visits to assess the health and well-being of pregnant women, and promoting the importance of institutional deliveries for better birth outcomes.

4. Collaboration with local stakeholders: To effectively improve access to maternal health, it is important to collaborate with local stakeholders, including community leaders, traditional birth attendants, and local healthcare providers. By involving these stakeholders in the planning and implementation of interventions, it is more likely that the innovations will be culturally appropriate and accepted by the community.

5. Integration of mental health support: Given the association between IPV during pregnancy and lower birth weights, it is important to integrate mental health support into maternal health services. This can include screening for maternal depression, providing counseling services, and referring women to appropriate mental health resources. By addressing the mental health needs of pregnant women, it is possible to improve birth outcomes and overall maternal well-being.

Overall, the recommendation is to develop an innovative approach that combines routine identification of IPV-exposed women, enhanced data collection, community-based interventions, collaboration with local stakeholders, and integration of mental health support to improve access to maternal health and ultimately enhance birth outcomes.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Increase awareness and education: Implement comprehensive education programs to raise awareness about the importance of maternal health, including the risks associated with intimate partner violence (IPV) during pregnancy. This can be done through community outreach programs, antenatal care visits, and educational campaigns.

2. Strengthen antenatal care services: Improve the quality and accessibility of antenatal care services, ensuring that all pregnant women have access to regular check-ups, screenings, and counseling. Antenatal care visits should include screening for IPV and providing support and resources for women who are exposed to violence.

3. Enhance collaboration between healthcare providers and community organizations: Foster partnerships between healthcare providers, community organizations, and local authorities to create a supportive network for pregnant women. This collaboration can help identify and support women experiencing IPV, provide referrals to appropriate services, and ensure a coordinated response to their needs.

4. Develop guidelines for healthcare providers: Develop clear guidelines and protocols for healthcare providers to identify and respond to IPV during pregnancy. This should include training on how to ask sensitive questions, provide support, and refer women to appropriate services. Regular training and updates should be provided to ensure healthcare providers are equipped to address this issue effectively.

5. Strengthen data collection and reporting: Improve data collection systems to capture information on IPV and birth outcomes accurately. This can be done by integrating IPV-related questions into routine data collection tools and ensuring that birth weights are consistently recorded, even for non-institutional births. This data can help monitor trends, identify gaps, and inform evidence-based interventions.

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 key indicators to measure the impact of the recommendations, such as the percentage of pregnant women screened for IPV, the percentage of women accessing antenatal care, and the percentage of institutional deliveries.

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

3. Implement the recommendations: Roll out the recommended interventions and strategies to improve access to maternal health. This may involve training healthcare providers, conducting awareness campaigns, and strengthening healthcare systems.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on the selected indicators. This can be done through regular data collection, surveys, or interviews with stakeholders.

5. Analyze the data: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. Compare the post-intervention data with the baseline data to identify any changes or improvements.

6. Draw conclusions and make recommendations: Based on the analysis of the data, draw conclusions about the effectiveness of the recommendations in improving access to maternal health. Identify any gaps or areas for improvement and make recommendations for future interventions.

7. Iterate and refine: Use the findings from the evaluation to refine and improve the recommendations. Continuously iterate and adapt the interventions based on the data and feedback received.

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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