The economic toll of COVID-19: A cohort study of prevalence and economic factors associated with postpartum depression in Kenya

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Study Justification:
– The study aims to examine the risk of postpartum depression (PPD) among women who delivered during the COVID-19 pandemic compared to women who delivered before the pandemic.
– It also investigates how economic challenges, such as household food insecurity and employment-related impacts, are associated with PPD.
– The study provides valuable insights into the impact of the COVID-19 pandemic on the mental health of postpartum women and highlights the economic vulnerability of women during this time.
Study Highlights:
– Women who delivered during the COVID-19 pandemic had 2.5 times higher odds of screening positive for PPD compared to women who delivered before the pandemic.
– Women who reported household food insecurity, required to pay a fee for personal protective equipment (PPE) during labor and delivery, and experienced COVID-19 employment-related impacts had a higher likelihood of screening for PPD.
– The study emphasizes the need to address the economic challenges faced by women during the pandemic to mitigate the increased risk of PPD.
Recommendations for Lay Readers and Policy Makers:
– Increase support for postpartum women by providing mental health services and resources to address PPD, particularly for those who delivered during the COVID-19 pandemic.
– Implement policies to alleviate economic challenges faced by women, such as addressing household food insecurity and ensuring access to affordable healthcare services during pregnancy, labor, and postnatal care.
– Promote awareness and education about PPD among healthcare providers, community leaders, and the general public to reduce stigma and encourage early detection and intervention.
Key Role Players:
– Healthcare providers: Responsible for providing mental health services and support to postpartum women.
– Community leaders: Engage in raising awareness, advocating for resources, and supporting women in their communities.
– Policy makers: Develop and implement policies to address economic challenges and improve access to mental health services for postpartum women.
– Researchers: Conduct further studies to deepen understanding of the impact of the COVID-19 pandemic on maternal mental health and identify effective interventions.
Cost Items for Planning Recommendations:
– Mental health services: Budget for the provision of counseling, therapy, and support groups for postpartum women.
– Healthcare infrastructure: Allocate funds to ensure adequate healthcare facilities and resources for maternal care.
– Education and awareness campaigns: Set aside a budget for public health campaigns to raise awareness about PPD and reduce stigma.
– Economic support programs: Allocate funds to address household food insecurity and provide financial assistance to women affected by employment-related impacts.
– Research funding: Allocate resources for further research on maternal mental health and the impact of the COVID-19 pandemic.
Please note that the provided cost items are general suggestions and may vary depending on the specific context and resources available.

Objective: The aim of the study is to examine the risk of postpartum depression (PPD) among women who delivered during the COVID-19 pandemic compared to women who delivered before the COVID-19 pandemic and how economic challenges are associated with PPD. Methods: Data were collected from 2332 women. This includes 1197 women from healthcare facilities in 2019 who were followed up at 2–4 and 10 weeks postpartum. Additionally, we recruited 1135 women who delivered from March 16, 2020 onward when COVID-19 restrictions were mandated in Kenya in the same catchment areas as the original sample to compare PPD rates. Results: Adjusting for covariates, women who delivered during COVID-19 had 2.5 times higher odds of screening positive for PPD than women who delivered before COVID-19 (95% confidence interval [CI] 1.92–3.15). Women who reported household food insecurity, required to pay a fee to cover the cost of PPE during labor and delivery and/or postnatal visit(s), and those who reported COVID-19 employment-related impacts had a higher likelihood of screening for PPD compared to those who did not report these experiences. Conclusion: The COVID-19 pandemic has greatly increased the economic vulnerability of women, resulting in increases in PPD.

Two samples of reproductive‐aged women (15–49 years) who had a singleton delivery and a functional phone for follow‐up were recruited into the study. First, we include 1197 women who had enrolled in a previous maternal health study in 2019. At the time of original recruitment, women had delivered within the last seven days at one of six participating facilities in Nairobi or Kiambu Counties. Women were followed up at 2–4 and 10 weeks postpartum via phone. Further details on eligibility and procedures can be found in prior publications. 11 Second, we include 1135 women who delivered after March 16, 2020, or since COVID‐19 restrictions were announced in Kenya. We sampled women based on the catchment areas surrounding the six facilities from the previous study for comparability. Recruitment of women occurred through close engagement with village elders and community health volunteers from the six catchment areas. Eight experienced, female enumerators and one female supervisor participated in three‐day virtual training on the study procedures. Pilot testing was conducted with 30 women to ensure quality of questionnaire and survey logistics. Enumerators contacted women by phone and obtained verbal consent which was audio‐recorded. Women could continue with the survey or schedule an appointment. For those unable to be reached, up to nine phone call attempts were made at varying days and times. The 30‐min phone survey included modules on employment and financial impacts of COVID 19, health care utilization during COVID‐19, trust in health care systems, socio‐demographic questions, and pregnancy and childbirth history. Women who consented to participate received approximately $1.00 worth of mobile credit as an appreciation for their time. PPD was the primary outcome of interest and was evaluated using the World Health Organization’s Maternal WOICE Tool for postnatal care. 12 The measure includes 16 items whereby respondents are asked whether they felt bothered by various problems, for example, not being able to stop or control worrying, becoming easily annoyed or irritable, and having little interest or pleasure in doing things. All participants were administered the first 10 questions; however, only respondents who indicated having little interest or pleasure in doing things and/or feeling down, depressed, or hopeless were asked the remaining 6 questions. Items were scored from 0 (“not at all”) to 3 (“nearly every day”) to assess the frequency of depressive symptoms over the last 2 weeks. Items were then summed and scores of 10 or more on either set of questions was considered to be indicative of depression. Among women who delivered before COVID‐19, PPD was measured at 2–4 and 10 weeks after delivery; depression was assessed by examining whether the outcome occurred at either follow‐up interview. Among women who delivered during COVID‐19, depression was measured at the single survey occurring within 8 months of delivery. Individual‐level demographic characteristics include age, marital status, educational attainment, employment status, self‐rated health status, and parity. COVID‐related economic impacts were also captured among women who delivered during COVID‐19, including household food insecurity, facility‐level policies requiring women to pay fees to cover the cost of personal protective equipment (PPE) during delivery and post‐natal visits, and experiencing employment‐related impacts such as job loss or decreased pay. An index of household food insecurity was constructed using items from the Household Food Insecurity Access Scale, 13 whereby women were asked whether they experienced six indicators of food insecurity in the past 4 weeks (1 = yes, 0 = no). Responses were summed across all six indicators to construct an index score, with possible scores ranging from 0 to 6 signifying the number of household food insecurity indicators endorsed. Employment‐related impacts were assessed only among those women who reported to have been employed at the start of and/or during the pandemic. An employment‐related impact score was derived by summing the number of impacts reported with possible scores ranging from 0 to 5. Among women who delivered before the pandemic, the sample was restricted to those who completed at least one follow‐up visit and thus had complete information on PPD (N = 1014/1197 or 85%). The sample of women who delivered during COVID‐19 included women who delivered in facilities and at home. Because all the women who delivered before COVID‐19 had facility deliveries, the sample of women who delivered during the pandemic was restricted to women with facility deliveries only (n = 1072/1135 or 95%) to make these two samples more comparable. This yielded a final analytic sample of 1014 women who delivered before COVID‐19 and 1072 women who delivered during COVID‐19. Data were analyzed using descriptive, bivariate, and multivariable statistics using StataSE version 15.1. 14 Pearson chi‐square tests were used to assess potential differences in the distribution of demographic and health characteristics across the study samples. Several multivariable logistic regression models were also run to assess the relationship between select COVID‐related economic impacts (i.e., household food insecurity score, being required to pay a fee to cover the cost of PPE during delivery and postnatal visits, respectively, and employment‐related impact score) and screening positive for PPD among women who delivered during COVID‐19. Ethical clearance was received from the Kenya Medical Research Institute (KEMRI), Scientific and Ethics Review Unit (NON‐KEMRI 702) and from the University of California Los Angeles Institutional Review Board (IRB #20–001421).

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

1. Telemedicine and virtual consultations: Implementing telemedicine platforms and virtual consultations can provide remote access to healthcare professionals, allowing pregnant women to receive medical advice, prenatal care, and mental health support without the need for in-person visits.

2. Mobile health applications: Developing mobile applications that provide educational resources, personalized health information, and reminders for prenatal care appointments can empower pregnant women to take an active role in their own healthcare and improve access to important maternal health information.

3. Community health worker programs: Expanding community health worker programs can help bridge the gap between healthcare facilities and remote communities. Trained community health workers can provide essential prenatal care, education, and support to pregnant women in underserved areas, improving access to maternal health services.

4. Financial support programs: Implementing financial support programs, such as subsidies or insurance coverage, specifically targeted at maternal health can alleviate the economic burden on pregnant women and improve access to necessary healthcare services.

5. Collaborative partnerships: Establishing partnerships between healthcare facilities, community organizations, and government agencies can create a coordinated approach to maternal health. These partnerships can improve access to comprehensive care, address social determinants of health, and ensure that pregnant women receive the support they need throughout their pregnancy and postpartum period.

It’s important to note that these are just potential recommendations based on the information provided. The feasibility and effectiveness of these innovations would need to be further assessed and evaluated in the specific context of improving access to maternal health in Kenya.
AI Innovations Description
Based on the description provided, the study highlights the increased risk of postpartum depression (PPD) among women who delivered during the COVID-19 pandemic compared to those who delivered before the pandemic. It also identifies economic challenges as a contributing factor to PPD.

To develop this finding into an innovation to improve access to maternal health, the following recommendation can be considered:

1. Strengthening mental health support during the perinatal period: Healthcare systems should prioritize the integration of mental health services into routine maternal healthcare. This can include training healthcare providers to identify and address mental health issues, providing counseling services, and ensuring access to appropriate medications for women experiencing PPD. Telehealth platforms can also be utilized to provide remote mental health support, especially in areas with limited access to healthcare facilities.

2. Addressing economic barriers: To reduce the economic vulnerability of women during the perinatal period, policies and interventions should be implemented to alleviate financial burdens. This can include providing financial assistance or subsidies for essential maternal healthcare services, such as prenatal care, delivery, and postnatal care. Additionally, efforts should be made to improve employment opportunities and support for women during and after pregnancy, including job protection, flexible work arrangements, and maternity leave policies.

3. Community engagement and awareness: Engaging community leaders, elders, and volunteers can help raise awareness about the importance of maternal mental health and the available support services. Community-based programs can be established to provide education, counseling, and peer support for women experiencing PPD. These programs can also address the stigma associated with mental health issues and encourage early help-seeking behavior.

4. Research and data collection: Continued research and data collection on the prevalence and impact of PPD, particularly during times of crisis such as the COVID-19 pandemic, are crucial for developing evidence-based interventions. This can help inform policy decisions and resource allocation to effectively address maternal mental health needs.

It is important to note that these recommendations should be tailored to the specific context and resources available in each setting. Collaboration between healthcare providers, policymakers, community organizations, and researchers is essential to successfully implement these innovations and improve access to maternal health.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Telemedicine: Implementing telemedicine services can provide remote access to healthcare professionals, allowing pregnant women to receive prenatal care, postnatal care, and mental health support without the need for in-person visits.

2. Mobile health (mHealth) applications: Developing user-friendly mobile applications that provide educational resources, appointment reminders, and personalized health information can empower pregnant women to take control of their own health and access necessary care.

3. Community health workers: Expanding the role of community health workers can help bridge the gap between healthcare facilities and remote communities. These workers can provide basic prenatal and postnatal care, health education, and referrals to appropriate healthcare services.

4. Transportation support: Improving transportation infrastructure and providing transportation subsidies can help pregnant women in remote areas reach healthcare facilities more easily, ensuring timely access to maternal health services.

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

1. Define the target population: Identify the specific population group that will benefit from the recommendations, such as pregnant women in rural areas or low-income communities.

2. Collect baseline data: Gather data on the current access to maternal health services, including factors such as distance to healthcare facilities, availability of healthcare professionals, and utilization rates.

3. Develop a simulation model: Create a mathematical or computational model that represents the target population and simulates the impact of the recommendations. The model should consider factors such as population size, geographical distribution, healthcare infrastructure, and resource availability.

4. Input data and parameters: Input relevant data and parameters into the simulation model, such as the number of healthcare facilities, the capacity of healthcare professionals, the cost of implementing the recommendations, and the expected utilization rates.

5. Run simulations: Run multiple simulations using different scenarios, such as implementing telemedicine services, increasing the number of community health workers, or improving transportation support. Each simulation should consider the potential impact on access to maternal health services, such as increased utilization rates or reduced travel time.

6. Analyze results: Analyze the simulation results to assess the potential impact of the recommendations on improving access to maternal health. Evaluate key indicators, such as the number of women accessing prenatal and postnatal care, the reduction in travel time, and the cost-effectiveness of the interventions.

7. Refine and validate the model: Refine the simulation model based on feedback and validation from experts in the field. Adjust parameters and assumptions to ensure the model accurately represents the real-world context.

8. Communicate findings: Present the findings of the simulation study to stakeholders, policymakers, and healthcare professionals. Highlight the potential benefits and challenges of implementing the recommendations and provide evidence-based recommendations for improving access to maternal health.

By following this methodology, policymakers and healthcare providers can make informed decisions about implementing innovations to improve access to maternal health based on the simulated impact of these recommendations.

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