The impact of depression at preconception on pregnancy planning and unmet need for contraception in the first postpartum year: a cohort study from rural Malawi

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Study Justification:
This study aimed to investigate the impact of depression on women’s use of contraception and degree of pregnancy planning in low-income settings, specifically in rural Malawi. This research was important because there is limited research on this topic in such settings, and understanding the relationship between depression and pregnancy planning can inform interventions and policies to improve reproductive health outcomes.
Highlights:
– The study included a population-based cohort of 4,244 pregnant women in rural Malawi.
– Women were followed up at 28 days, 6 months, and 12 months postpartum.
– The study found that symptoms of depression at preconception were associated with inconsistent use of contraception at the time of conception and a higher risk of unplanned or ambivalent pregnancy.
– Depression in the year before pregnancy also led to no use of contraception despite no desire for a further pregnancy at 28 days postpartum, as well as reduced use of modern contraceptives.
– These findings highlight the need for integrating mental health care into family planning services and focusing on early postnatal contraception.
Recommendations:
– Integrate mental health care into family planning services: This can involve training healthcare providers to identify and address symptoms of depression in women seeking family planning services.
– Increase access to postnatal contraception: Efforts should be made to ensure that women have access to a range of contraceptive methods in the early postpartum period, especially for those who do not desire a further pregnancy.
– Improve awareness and education: Raise awareness about the impact of depression on pregnancy planning and contraception use among women, their partners, and communities to reduce stigma and promote support.
Key Role Players:
– Healthcare providers: Trained healthcare providers are needed to identify and address symptoms of depression in women seeking family planning services.
– Community health workers: These individuals can play a crucial role in raising awareness about the impact of depression on pregnancy planning and contraception use.
– Policy makers: Policy makers need to prioritize the integration of mental health care into family planning services and ensure access to postnatal contraception.
Cost Items for Planning Recommendations:
– Training programs: Budget for training healthcare providers on identifying and addressing symptoms of depression in women seeking family planning services.
– Awareness campaigns: Allocate funds for awareness campaigns to educate women, their partners, and communities about the impact of depression on pregnancy planning and contraception use.
– Access to contraceptive methods: Ensure availability and affordability of a range of contraceptive methods in the early postpartum period.
Please note that the cost items provided are general suggestions and may vary depending on the specific context and resources available in rural Malawi.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a population-based cohort study with a large sample size. The study followed up with participants at multiple time points, which increases the reliability of the findings. The study also adjusted for known confounders and used validated tools to assess depression and pregnancy intention. To improve the evidence, future studies could consider including a control group for comparison and conducting a randomized controlled trial to establish causality.

Background: The impact of depression on women’s use of contraception and degree of pregnancy planning in low-income settings has been poorly researched. Our study aims to explore if symptoms of depression at preconception are associated with unplanned pregnancy and nonuse of contraception at the point of conception and in the postpartum period. Methods: Population-based cohort of 4244 pregnant women in rural Malawi were recruited in 2013 and were followed up at 28 days, 6 months and 12 months postpartum. Women were asked about symptoms of depression in the year before pregnancy and assessed for depression symptoms at antenatal interview using the Self‐Reporting Questionnaire‐20, degree of pregnancy planning using the London Measure of Unplanned Pregnancy and use of contraception at conception and the three time points postpartum. Results: Of the 3986 women who completed the antenatal interview, 553 (13.9%) reported depressive symptoms in the year before pregnancy and 907 (22.8%) showed current high depression symptoms. History of depression in the year before pregnancy was associated with inconsistent use of contraception at the time of conception [adjusted relative risk (adjRR) 1.52; 95% confidence interval (1.24–1.86)] and higher risk of unplanned [adjRR 2.18 (1.73–2.76)] or ambivalent [adj RR 1.75 (1.36–2.26)] pregnancy. At 28 days post-partum it was also associated with no use of contraception despite no desire for a further pregnancy [adjRR 1.49 (1.13–1.97)] as well as reduced use of modern contraceptives [adj RR 0.74 (0.58–0.96)]. These results remained significant after adjusting for socio-demographic factors known to impact on women’s access and use of family planning services, high depression symptoms at antenatal interview as well as disclosure of interpersonal violence. Although directions and magnitudes of effect were similar at six and 12 months, these relationships were not statistically significant. Conclusions: Depression in the year before pregnancy impacts on women’s use of contraception at conception and in the early postpartum period. This places these women at risk of unplanned pregnancies in this high fertility, high unmet need for contraception cohort of women in rural Malawi. Our results call for higher integration of mental health care into family planning services and for a focus on early postnatal contraception.

We conducted a secondary analysis of a cohort study set in rural Malawi to assess pregnancy intention and its relation to maternal, perinatal and neonatal outcomes [13, 14]. A population-based sample of 4244 pregnant women were recruited in 2013 and were followed up at 28 days, 6 months and 12 months postpartum. This study was conducted in the Mchinji District, a rural district in Malawi, in southern-central Africa, with a population over 530,000, 23% of whom are women of childbearing age (121,950). Around 90% of the population are subsistence farmers. Fertility rates in this region remain high, with a total fertility rate of 6.3 children per woman at the time the study was being conducted, yet the total wanted fertility rate was 4.6 children per woman, and there was a high unmet need for family planning (29.3% in married women) [15]. Family planning services are provided free of charge in Malawi through government health facilities, and are available for purchase through private clinics such as ‘Banja la Mtsogolo’, a Marie Stopes International Partner. On average women live almost 6 km from the nearest health facility; a distance often needed to be covered on foot [13]. Previous research divided Mchinji District into 49 geographical areas; from this sampling frame a random sample of 25 areas were selected. Eligible participants were all pregnant women aged 15 and over living within the district demographic surveillance areas selected between March and December 2013 [14]. Women were eligible to participate at any point during their pregnancy and were interviewed at home by trained data collectors, after giving informed consent, using a questionnaire programmed using CommCareODK software on a smartphone. 4244 pregnant women between two and nine months pregnant (median six, mean 5.98) completed the antenatal interview; 3986 (93.9%) were followed up at 28 days postpartum. This was a rolling cohort and was stopped when the last recruited woman reached the 28-day postpartum point. As women were recruited at different gestations, some women, but not all, were eligible and completed interviews at 6 months and 12 months postpartum. In the absence of a locally validated tool, we ascertained history of depression in the year before pregnancy by asking women at the antenatal interview if they had experienced 2 weeks or more of low mood or two weeks of more of anhedonia. A positive reply to any of these questions was defined as history of depression in the year preconception. Postnatal depression was assessed using the validated Chichewa version of the World Health Organization’s 20-question screening tool, the Self-Reporting Questionnaire 20 (SRQ 20). The SRQ 20 was previously found to be valid (Sensitivity = 76.3%, Specificity = 81.3%) and reliable (Cronbach’s α = 0.83) instrument for screening perinatal depression in Malawi [16]. In this study, a cut off score of ≥ 8 was used to determine depression before pregnancy [17]. The degree of intention of women’s current pregnancy was assessed using the London Measure of Unplanned Pregnancy (LMUP) at antenatal interview. By asking six questions, each scored zero, one or two, the LMUP scores pregnancy intention on a continuous scale from zero to 12 with each increase in score representing an increase in the degree of pregnancy intention [18]. The LMUP was validated for use in the Chichewa language in Malawi prior to the establishment of this cohort and found to be a valid and reliable measure of pregnancy intention in this setting [19]. Women’s scores were grouped into three categories unplanned, ambivalent and planned. At the antenatal questionnaire women were asked if in the month they became pregnant they were using contraception and how regularly. Postnatally women were asked if they were using family planning methods and which methods were being used. Contraceptive methods were classified as modern if they were products or medical procedure that interfere with reproduction from acts of sexual intercourse, therefore condoms, oral contraceptive pills, tubal ligation (postnatally), coil, injectable contraceptives and implants were classified as modern methods. Abstinence and withdrawal methods were considered traditional. Lactation amenorrhea (LAM) was considered traditional as although is a very effective method if practiced correctly, it is well acknowledged that often only a minority of women who report breastfeeding as a method of contraception meet the correct-practice criteria for LAM and this method is not considered effective after the early postpartum period [20]. Socio-economic and demographic factors known to impact on women’s unmet need for contraception were selected from available literature [21]. These included maternal age, education, marital status, distance to the health facility, socio-economic status, parity and religion. A principal components analysis (PCA) was conducted to generate an asset-based measure of socio-economic status (SES). In addition to ownership of assets such as a bicycle and radio, variables included in the PCA were household characteristics, such as floor and roof materials, household density, and access to water and sanitation facilities [14]. GPS readings of the location of the interview were taken and were used to calculate the distance to the nearest health facility, ‘as the crow flies’. Interpersonal Violence (IPV) was assessed using the Abuse Assessment Screen [22]. This asks about experience of abuse ever, in the last year or while pregnant as well as experience of sexual abuse. Stata version 15 software was used for data analysis [23]. Our analysis strategy was hypothesis-driven, using multinominal logistic regression to investigate the association between depression in the preconception year and use of contraception at conception; in early postpartum (28 days) and late postpartum period (at 6 and 12 months). Women who reported to be planning a pregnancy or no current partner were excluded from the analysis. These hypotheses were partially and fully adjusted for known confounders identified a priori, including demographic and socio-economic characteristics. The analysis of the relationship between depression at preconception and unmet need for contraception at 28 days postpartum was adjusted for high depression symptoms at pregnancy (SRQ score >  = 8) and the analysis for the relationship between depression at preconception and unmet need for contraception at 6 months was adjusted for high depression symptoms at pregnancy as well as in the early postpartum. Missing data on use of contraception (< 8% of total sample at 6 months) was addressed by case wise deletion at the analysis stage.

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

1. Integration of mental health care into family planning services: Given the association between depression and unplanned pregnancies, integrating mental health care into family planning services could help identify and address mental health issues that may impact contraceptive use and pregnancy planning.

2. Mobile technology for data collection: The use of smartphones and CommCareODK software for data collection can streamline the process and improve the accuracy of data collection in rural areas. This technology can be used to collect information on pregnancy intention, contraceptive use, and other relevant factors.

3. Community-based family planning services: Since many women in rural areas have limited access to health facilities, implementing community-based family planning services can bring reproductive health services closer to women’s homes. This can include providing contraceptives, counseling, and education on family planning.

4. Improving transportation infrastructure: Given that women in rural areas often have to travel long distances to access health facilities, improving transportation infrastructure can help reduce barriers to maternal health care. This can involve building roads, providing transportation subsidies, or implementing mobile clinics to reach remote areas.

5. Empowering women through education and economic opportunities: Addressing socio-economic factors that contribute to unmet need for contraception, such as education and poverty, can improve access to maternal health care. Providing educational opportunities and economic empowerment programs for women can help them make informed decisions about their reproductive health.

These innovations aim to address the specific challenges faced by women in rural Malawi and improve access to maternal health care, including family planning services.
AI Innovations Description
Based on the description provided, the recommendation to improve access to maternal health would be to integrate mental health care into family planning services and focus on early postnatal contraception. This recommendation is based on the findings of the study, which showed that symptoms of depression at preconception were associated with unplanned pregnancy and nonuse of contraception in the postpartum period. By integrating mental health care into family planning services, healthcare providers can address the impact of depression on women’s use of contraception and provide appropriate support and interventions. Additionally, focusing on early postnatal contraception can help prevent unplanned pregnancies and ensure that women have access to effective contraception during this critical period.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Integration of mental health care into family planning services: Given the association between depression and unplanned pregnancies, it is important to integrate mental health care into family planning services. This can involve training healthcare providers to screen for and address mental health issues during family planning consultations.

2. Early postnatal contraception focus: The study highlights the need for increased focus on contraception in the early postpartum period. Healthcare providers should prioritize discussing and providing contraception options to women during this critical time to prevent unplanned pregnancies.

3. Improved access to family planning services: Given the rural setting of the study, efforts should be made to improve access to family planning services. This can include increasing the number of healthcare facilities in rural areas, providing mobile clinics, and implementing telemedicine services to reach women who live far from healthcare facilities.

4. Education and awareness campaigns: To address the high unmet need for family planning, education and awareness campaigns should be conducted to provide accurate information about contraception and its benefits. These campaigns can target both women and men in the community to promote shared decision-making and support for family planning.

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

1. Baseline data collection: Collect data on the current state of access to maternal health services, including availability of family planning services, distance to healthcare facilities, and utilization rates.

2. Define indicators: Identify key indicators to measure the impact of the recommendations, such as the percentage of women using contraception in the early postpartum period, the percentage of women with access to mental health care during family planning consultations, and the percentage of women reporting improved access to family planning services.

3. Introduce interventions: Implement the recommended interventions, such as integrating mental health care into family planning services, improving access to family planning services, and conducting education and awareness campaigns.

4. Data collection post-intervention: Collect data after the interventions have been implemented to measure changes in the identified indicators.

5. Data analysis: Analyze the collected data to assess the impact of the interventions on improving access to maternal health. This can involve comparing pre- and post-intervention data, conducting statistical tests, and calculating effect sizes.

6. Interpretation and reporting: Interpret the findings of the data analysis and report on the impact of the recommendations. This can include summarizing the changes observed in the indicators and discussing the implications for improving access to maternal health.

By following this methodology, it would be possible to simulate the impact of the recommendations on improving access to maternal health and assess their effectiveness in addressing the identified issues.

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