Prevalence and factors associated with depression among pregnant mothers in the West Shoa zone, Ethiopia: A community-based cross-sectional study

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Study Justification:
– Depression during pregnancy is a prevalent mental health problem that can have negative effects on both the mother and the child.
– There is limited research on the prevalence and factors associated with antenatal depression in Ethiopia, and existing studies have inconsistent results.
– Understanding the prevalence and correlates of antenatal depression is crucial for developing effective interventions and support systems for pregnant women in Ethiopia.
Study Highlights:
– The study was conducted in the West Shoa zone, Oromia regional state, Ethiopia.
– A total of 874 pregnant women in the second or third trimester of pregnancy were recruited for the study.
– The prevalence of depression during pregnancy was found to be 32.3%.
– Factors associated with higher odds of depression included having an average monthly income of less than 500 Ethiopian birr, unplanned pregnancy, and a history of abortion.
– Strengthening counseling services and increasing access to modern contraceptive methods were recommended to reduce rates of unplanned pregnancy and subsequent depression.
– Integration of mental health services with existing maternal health care and strengthening the referral system among public health centers were also recommended to minimize antenatal depression.
Recommendations for Lay Readers:
– Pregnant women should be aware of the risk factors for antenatal depression, such as low income, unplanned pregnancy, and a history of abortion.
– Seeking counseling services and using effective contraceptive methods can help reduce the risk of unplanned pregnancy and subsequent depression.
– It is important for pregnant women to have access to comprehensive maternal health care that includes mental health support.
Recommendations for Policy Makers:
– Allocate resources to strengthen counseling services for pregnant women, particularly in low-income settings.
– Increase availability and accessibility of modern contraceptive methods to reduce rates of unplanned pregnancy.
– Integrate mental health services into existing maternal health care systems to ensure comprehensive support for pregnant women.
– Improve the referral system among public health centers to facilitate timely access to mental health care for pregnant women.
Key Role Players:
– Health extension workers: Responsible for listing and identifying pregnant mothers in the study area.
– Data collectors: Trained individuals who collected data from the study participants.
– Counselors: Provide counseling services to pregnant women, addressing their mental health needs.
– Maternal health care providers: Responsible for integrating mental health services into existing maternal health care systems.
– Policy makers: Allocate resources and implement policies to support the recommendations.
Cost Items for Planning Recommendations:
– Training and capacity building for health extension workers, data collectors, and counselors.
– Development and implementation of counseling services.
– Provision of modern contraceptive methods.
– Integration of mental health services into existing maternal health care systems.
– Strengthening the referral system among public health centers.
– Monitoring and evaluation of the implemented interventions.

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 employed a community-based cross-sectional design, which is appropriate for investigating the prevalence of antenatal depression. The sample size calculation was based on a previous study and the study used a cluster sampling technique to select the study participants. The data collection methods were clearly described, including the use of validated scales to assess depression and perceived stress. The statistical analysis was conducted using appropriate methods. However, there are a few areas that could be improved. Firstly, the abstract does not provide information on the response rate or any potential biases in participant selection. Additionally, the abstract does not mention any limitations of the study, such as potential confounding factors or generalizability of the findings. Including this information would strengthen the evidence and provide a more comprehensive understanding of the study’s limitations.

Background: Depression during pregnancy, the most prevalent mental health problem, can alter fetal development and has important consequences on the offspring’s physical and mental health. Evidence suggests increasing rates of prevalence of depression in low-income settings such as Ethiopia. However, there are a few studies on the topic with inconsistent results. Therefore, the aim of this study was to investigate the prevalence of antenatal depression and its correlates among pregnant women in Ethiopia. Methods: A community-based cross-sectional study was conducted in the West Shoa zone, Oromia regional state, Ethiopia, from February 20, 2018, to March 20, 2018. Pregnant women were recruited by using cluster sampling techniques. Data on socio-demographic, obstetric, and psychosocial characteristics were collected by interviewer-administered questionnaire. Patient Health Questionnaire (PHQ-9) was used to assess depression during pregnancy. Bivariable and multivariable logistic regression analyses were fitted to identify correlates of depression. The level of statistical significance was declared at p value < 0.05. Results: The mean age (± SD) of the pregnant women was 28.41 ± 5.9 years. The prevalence of depression during pregnancy was 32.3%. When we adjusted for possible confounding variables in the final model; those pregnant mothers with an average monthly income of less than 500 (18 USD) Ethiopian birr [AOR = 3.19, 95% CI (1.47, 6.96)], unplanned pregnancy [AOR = 1.52, 95% CI (1.04, 2.21)] and having history of abortion [AOR = 5.13, 95% CI (2.42, 10.85)] have higher odds of depression when compared to their counterparts. Conclusion: The prevalence of depression during pregnancy was high. Strengthening the counseling service as well as increasing access and availability of modern contraceptive methods may reduce the rates of unplanned pregnancy in Ethiopia and this, in turn, plays a significant role in alleviating a resultant depression. Further, the integration of mental health services with existing maternal health care as well as strengthening the referral system among public health centers was warranted to minimize antenatal depression in the West Shoa zone health facilities.

A community-based cross-sectional study was employed. The study was conducted in the West Shoa zone, Oromia regional state, Ethiopia. The west Shoa zone has a total of 23 woredas (districts) including Ambo town. The projected population of the West Shoa zone is about 2.6 million (1.3 million men and 1.3 women) population. During the study period, there were 26, 7399 pregnant women with 17, 9160 of which are in the 2nd and 3rd trimester of pregnancy. The assessment was conducted from February 20, 2018, to March 20, 2018. Single population proportion formula was used to calculate the sample size using the magnitude of depression in pregnant mothers in Ethiopia, 31.1% [23], with a 95% confidence interval, 5% of margin error and with the calculated design effect of 2.5. A cluster sampling technique was employed to select three woredas, such as Jeldu, Ambo, and Bako out of 23 woredas. Health extension workers of each woreda listed pregnant mothers using the non-identifying registration code. We have used this registration as a sampling frame to recruit the study participants. A total of 874 pregnant mothers who were in the second or third trimester of pregnancy, lived and currently living in the study area for at least the preceding 1 year were recruited for the study. Those with hearing or cognitive impairment to the extent of impairing capacity to communicate adequately and unable to give informed consent to take part in the study were excluded from the study. Data were collected by trained data collectors. The presence of antenatal depression was assessed by the Patient Health Questionnaire item nine (PHQ-9). This scale has been validated to use among pregnant women in the community setting with the minimum cut-off point of 8 or more suggest depression [24]. This is a highly reliable scale with a sensitivity of 80.8% and a specificity of 79.5% to assess depression. Its reliability coefficient, Cronbach’s alpha, and 1-week test–retest were 0.84 and 0.98, respectively. Perceived stress scale was also used in the study. It is a 10-item Likert scale; each item has 5 possible responses measuring the frequency of perceived stress over the last month [25, 26]. These 10 items are to assess stress due to events, feeling out of control, and feeling rushed or short on time. It has been used in different studies conducted in Ethiopia. It was highly reliable in our study with Cronbach’s alpha of 0.92. We have used the Ethiopian Demographic and Health Survey (EDHS) of 2016 formats to assess other pregnancy-related information (like previous stillbirth, spontaneous abortion, neonatal and infant mortality, and comorbid medical conditions, actual antenatal visits and birth preparedness) [27]. A score of 8 or more in the Patient Health Questionnaire item nine (PHQ-9) was considered depression in this study [24]. The scores above mean in perceived stress scale were considered perceived stress in this study [25, 26]. It is the ending of a pregnancy by removal or expulsion of an embryo or fetus before it can survive outside the uterus. In this study, it includes spontaneous abortion and induced abortion. The Statistical Package for Social Science (SPSS) version 21.0 was used for data analysis. Pregnant mothers’ socio-demographic, economic and obstetric characteristics were described using the statistics of frequency and percentage distributions. Further, bivariate logistic regression analysis was conducted to identify correlates of antenatal depression. Variables with a p-value < 0.25 during bivariate analysis were entered into a multivariate logistic regression analysis to identify potential confounders. Then, adjusted OR was calculated using multivariate logistic regression analysis and the level of significance of association was determined. Significance level was declared at  < 0.05.

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

1. Telemedicine: Implementing telemedicine services can help overcome geographical barriers and provide pregnant women in remote areas with access to healthcare professionals. This can include remote consultations, monitoring of vital signs, and providing medical advice.

2. Mobile health (mHealth) applications: Developing mobile applications that provide information and resources related to maternal health can empower pregnant women to take control of their own health. These apps can provide educational content, appointment reminders, and access to support groups.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in their own communities can improve access to maternal health services, especially in areas with limited healthcare infrastructure.

4. Integrated mental health services: Integrating mental health services into existing maternal health care can help identify and address mental health issues, such as antenatal depression, during pregnancy. This can involve training healthcare providers to screen for mental health conditions and providing appropriate support and treatment.

5. Strengthening referral systems: Improving the referral system between public health centers and specialized maternal health facilities can ensure that pregnant women receive timely and appropriate care. This can involve establishing clear protocols for referrals, improving communication channels, and providing transportation support when needed.

6. Increasing availability of modern contraceptive methods: Addressing the issue of unplanned pregnancies can help reduce the rates of antenatal depression. Increasing access to and availability of modern contraceptive methods, along with comprehensive family planning services, can empower women to make informed choices about their reproductive health.

These innovations, when implemented effectively, can help improve access to maternal health services and support the well-being of pregnant women in Ethiopia.
AI Innovations Description
The study titled “Prevalence and factors associated with depression among pregnant mothers in the West Shoa zone, Ethiopia: A community-based cross-sectional study” aimed to investigate the prevalence of antenatal depression and its correlates among pregnant women in Ethiopia. The study was conducted in the West Shoa zone, Oromia regional state, Ethiopia, from February 20, 2018, to March 20, 2018.

The study used a cluster sampling technique to select three woredas (districts) out of 23 woredas in the West Shoa zone. A total of 874 pregnant mothers in the second or third trimester of pregnancy, who had lived in the study area for at least the preceding year, were recruited for the study. Data on socio-demographic, obstetric, and psychosocial characteristics were collected using an interviewer-administered questionnaire. The presence of antenatal depression was assessed using the Patient Health Questionnaire item nine (PHQ-9), with a score of 8 or more indicating depression.

The study found that the prevalence of depression during pregnancy in the West Shoa zone was 32.3%. Factors associated with higher odds of depression included having an average monthly income of less than 500 Ethiopian birr (18 USD), unplanned pregnancy, and a history of abortion.

Based on the findings, the study recommended strengthening counseling services and increasing access and availability of modern contraceptive methods to reduce unplanned pregnancies, which can contribute to alleviating depression. Additionally, integrating mental health services with existing maternal health care and strengthening the referral system among public health centers was suggested to minimize antenatal depression in the West Shoa zone health facilities.

Overall, the study provides valuable insights into the prevalence and factors associated with antenatal depression in Ethiopia and offers recommendations for improving access to maternal health services and addressing mental health issues during pregnancy.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Strengthen Counseling Services: Enhance the availability and quality of counseling services for pregnant women, particularly focusing on mental health support. This can help identify and address issues such as depression during pregnancy.

2. Increase Access to Modern Contraceptive Methods: Improve access to and availability of modern contraceptive methods to reduce the rates of unplanned pregnancies. This can be achieved through community-based initiatives, education, and outreach programs.

3. Integrate Mental Health Services with Maternal Health Care: Integrate mental health services into existing maternal health care programs to ensure comprehensive care for pregnant women. This can involve training health care providers to identify and address mental health issues during pregnancy.

4. Strengthen Referral System: Enhance the referral system among public health centers to ensure seamless access to specialized care for pregnant women with mental health concerns. This can involve establishing clear pathways for referrals and improving coordination between different levels of care.

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

1. Define the Baseline: Gather data on the current state of access to maternal health services, including the prevalence of antenatal depression and the availability of counseling and mental health support.

2. Establish Key Indicators: Identify key indicators to measure the impact of the recommendations, such as the percentage of pregnant women receiving counseling services, the rate of unplanned pregnancies, and the prevalence of antenatal depression.

3. Collect Data: Conduct surveys, interviews, or other data collection methods to gather information on the selected indicators before implementing the recommendations.

4. Implement Recommendations: Introduce the recommended interventions, such as strengthening counseling services and increasing access to modern contraceptive methods.

5. Monitor and Evaluate: Continuously monitor the implementation of the recommendations and collect data on the selected indicators after the interventions have been in place for a sufficient period.

6. Analyze 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.

7. Draw Conclusions: Based on the analysis, draw conclusions about the effectiveness of the recommendations in improving access to maternal health. Identify any challenges or areas for further improvement.

8. Adjust and Refine: Use the findings from the evaluation to make adjustments and refinements to the recommendations, if necessary. This iterative process can help optimize the impact of the interventions.

By following this methodology, stakeholders can gain insights into the potential impact of the recommendations on improving access to maternal health and make informed decisions for future interventions.

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