Risk of psychological distress following severe obstetric complications in Benin: The role of economics, physical health and spousal abuse

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Study Justification:
– Little is known about the impact of life-threatening obstetric complications on women’s mental health in low- and middle-income countries.
– The study aims to examine the relationships between near miss (severe obstetric complications) and postpartum psychological distress in Benin.
Highlights:
– The study found that near-miss events, except when associated with perinatal death, were not associated with a greater risk of psychological distress compared to uncomplicated childbirth.
– The presence of a live baby protected near-miss women from increased vulnerability and reduced their risk of psychological distress.
– Near-miss women with perinatal death should be targeted early postpartum to prevent or treat the development of depressive symptoms.
Recommendations:
– Target interventions towards near-miss women with perinatal death to prevent or treat depressive symptoms.
– Provide social support and resources to near-miss women to reduce their risk of psychological distress.
Key Role Players:
– Ministry of Health, Benin
– Research midwives
– Sociologists
– Anthropologist
– Ethics committee
Cost Items for Planning Recommendations:
– Training and support for research midwives
– Compensation for participants
– Data collection and analysis tools
– Travel expenses for home visits and interviews
– Ethical approval process
– Publication and dissemination of findings

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is strong as it is based on a one-year prospective cohort study using epidemiological and ethnographic techniques. However, there are some limitations to consider. The study population was recruited from six referral hospitals within a specific study area, which may limit the generalizability of the findings. Additionally, the study relies on self-reported data, which may introduce bias. To improve the evidence, future studies could consider expanding the study population to include a more diverse range of healthcare facilities and use objective measures to assess psychological distress.

Background: Little is known about the impact of life-threatening obstetric complications (‘near miss’) on women’s mental health in low- and middle-income countries. Aims: To examine the relationships between near miss and postpartum psychological distress in the Republic of Benin. Method: One-year prospective cohort using epidemiological and ethnographic techniques in a population of women delivering at health facilities. Results: In total 694 women contributed to the study. Except when associated with perinatal death, near-miss events were not associated with greater risk of psychological distress in the 12 months postpartum compared with uncomplicated childbirth. Much of the direct effect of near miss with perinatal death on increased risk of psychological distress was shown to be mediated through wider consequences of traumatic childbirth. Conclusions: A live baby protects near-miss women from increased vulnerability by giving a positive element in their lives that helps them cope and reduces their risk of psychological distress. Near-miss women with perinatal death should be targeted early postpartum to prevent or treat the development of depressive symptoms.

This combined epidemiological and ethnographic prospective cohort study was conducted in southern Benin, a country with little social protection for the poor and with high maternal mortality (840 deaths per 100 000 live births)9 despite 80% of mothers attending antenatal clinics and 78% of deliveries occurring in health facilities.10 Because of the difficulty of determining with sufficient accuracy if a woman has experienced an obstetric complication if she has not used health services, the study population was recruited from six referral hospitals within the study area.11,12 All near-miss women and a sample of women with uncomplicated childbirth who delivered in the hospitals between September 2004 and January 2005 and lived within 30 km of the recruitment site were approached for inclusion in the study. The catchment area for the sample was mostly urban, but included some rural areas with difficult access to services. Near-miss women were categorised according to the pregnancy outcome: women with near-miss deliveries with a live baby; and women with near-miss deliveries but whose baby died before the woman was discharged from hospital. The exposure status of the women (uncomplicated delivery, near miss with live baby or near miss with perinatal death) was determined by research midwives on the basis of clinical signs and symptoms of complications, as well as clinical procedures. Those classified as near misses included five categories of complications at term: haemorrhage (leading to shock, emergency hysterectomy and blood transfusion); pregnancy-induced hypertensive disorders (eclampsia and severe pre-eclampsia); dystocia (uterine rupture and impending rupture); infections (hyper/hypothermia and/or clear source of infection with clinical signs of shock); and anaemia (haemoglobin levels below or equal to 50 g/l or clinical signs of severe anaemia). For each near miss, two unmatched controls with uncomplicated deliveries were selected; uncomplicated delivery was defined as having given birth vaginally to healthy infants, with no deformities, weighing at least 2500 g and at term (37–42 weeks) and whose medical records revealed no prenatal, labour or immediate postpartum complications. On exit from hospital, research midwives summarised each woman’s medical records using a structured instrument. Data were recorded on medical history, risk factors, signs and symptoms, treatments and medical interventions, mode of delivery and baby’s health status on exit from hospital. Within a fortnight following discharge, the research midwives conducted home visits and, using a structured questionnaire with standardised instruments adapted for use in Benin,10,13 collected baseline data on the women’s health, socioeconomic status and pregnancy experiences. The women were interviewed again at 6 and 12 months following discharge, to gather information on consequences and experiences after delivery (Fig.1). The structured questionnaires included questions on women’s relationships with family members, perceived physical health and negotiation of hospital fees associated with the delivery. The interviews also incorporated an adapted version of the K10 screening tool to measure the risk of psychological distress in the study population.14,15 This tool elicits symptoms of anxiety and depression and has been validated specifically for the detection of depressive symptoms in the postnatal period in neighbouring Burkina Faso (see Appendix).16 Schematic of eligibility, recruitment and follow-up, by delivery status (normal delivery, near-miss live birth, near-miss perinatal death). PP, postpartum. The ethnographic sample consisted of 40 women, selected in the immediate postpartum period from the larger cohort. Women were selected randomly from predefined quota sampling, on the basis of socioeconomic status and parity, according to the larger epidemiological sample. This sampling method was chosen to ensure the inclusion of socially marginalised participants, as well as to ensure sufficient heterogeneity of the sample according to economic status and parity, given the small sample size. In total, 11 women were a near miss with a perinatal death, 15 near miss with a live birth and 14 had uncomplicated deliveries. Two sociologists and an anthropologist conducted repeated qualitative interviews with these women using an in-depth interview guide to generate information on delivery experiences, recovery, other social and economic changes or consequences in the postpartum period, and social context in which the women experienced these changes. The ethnographic sample were interviewed at home at 3 and 6 months, and 20 (50%, owing to resource constraints, selected using purposive sampling) were interviewed again at 12 months postpartum. Women whose babies died following discharge were excluded from the analysis because subsequent baby deaths would be likely to distort relationships between delivery experiences and psychological distress. Stata/IC 10.0 for Windows was used to derive percentages, means, significance levels and regression coefficients comparing near-miss women with and without perinatal death to those with uncomplicated deliveries in the quantitative analysis. With limited information on temporal aspects of cause and effect, one cannot be certain whether specific parameters are a consequence or a cause of psychological distress. For example, it is difficult to determine the direction of any association between spousal abuse and K10 score when using measures taken at the same point in time, because, intuitively, spousal abuse could cause psychological distress, yet psychological distress may itself lead to a negative spousal relationship and violence. Therefore, although K10 measurements were taken at both 6 and 12 months, this analysis is limited to the K10 outcome at 12 months postpartum so that the effect of exposures measured at 6 months postpartum can be assessed. This takes advantage of the longitudinal nature of the data-set and facilitates investigation of the roles of debt, poor physical health and spousal abuse over the entire year postpartum. Associations between chronic debt, poor physical health and spousal abuse in the 6 months following delivery and K10 score at 12 months postpartum were investigated using linear regression adjusting for possible confounders of near-miss status, hospital of recruitment (associated with socioeconomic factors), parity, marital status and wealth quintile. Wealth quintiles were derived from a score of the asset ownership of each woman’s household using principal components analysis.17 Age and education were not used as confounders because of correlation with parity and wealth, respectively. Regression analyses were also controlled for exposures of ‘high’ and ‘low’ risk of psychological distress at 6 months (derived from K10) to account for any associations between debt, poor physical health and spousal abuse and depressive symptoms at 12 months that may be as a result of confounding between these factors and psychological distress at 6 months postpartum.16 Mediation analysis was based on the hypothesis that severe complications are more than a physical event – in addition to physical shock, there may be an economic impact in countries where treatment of such complications is not covered by health insurance. This may lead to adverse social consequences, as economic stress on the family unit may, in turn, lead to psychological distress. Psychological distress may also be an independent consequence of the loss of one’s baby through near miss. Linear regression models were fitted on the 12-month K10 score taking into account hypothesised hierarchical relationships between near miss, medical debt (measured as unpaid hospital debts at 6 or 12 months postpartum), poor physical health (measured as self-reported physical illness that prevents the woman from conducting her daily activities) and spousal abuse (measured as new events of physical, sexual or emotional abuse and/or neglect that women report as happening within the first 6 months postpartum and not occurring before or during pregnancy) to test how these risk factors may mediate the direct effect of near miss on psychological distress. In the first step of the analysis, near-miss status is entered along with potential confounding factors and the resulting regression coefficient represents the overall adjusted effect of near miss on K10 score. The subsequent stepwise addition of variables is used to identify the extent to which the effect of near-miss status is mediated through the other factors. In other words, the final model estimates the remaining independent effect of near miss on K10 score, or the effect not mediated through physical morbidity, initiation of spousal abuse and debt. Ethnographic analysis focused specifically on exploring the local salience of mediating factors between reproductive experiences and postpartum psychological distress. For this, two types of comparative analysis based on an in-depth case-study method were undertaken. The first mirrored the quantitative study, and compared women who had an uncomplicated delivery with those who had a near miss, both with and without perinatal death. Within these subgroups, women with high and low K10 scores, at either 6 or 12 months postpartum, were also compared. As a starting point, a 14-point cut-off was used to discern clinically significant mental morbidity.16 To increase our sample size, women with scores of 11 or above were considered at potential risk of mental morbidity and were also included in our comparative analysis. The second comparative analysis focused on comparing standard cases (women with near-miss experiences and high K10 scores) with what can be conceptualised as exceptions or ‘atypical cases’, that is, those women whose experiences and practices deviated from the general patterns established by the epidemiological analysis.18,19 Atypical cases, then, included women with near misses with or without perinatal deaths who demonstrated low K10 scores. The study was approved by the Ministry of Health, Benin and the ethics committee of The London School of Hygiene and Tropical Medicine, UK.

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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. Telemedicine: Implementing telemedicine services can provide remote access to healthcare professionals, allowing pregnant women in remote or underserved areas to receive prenatal care and consultations without having to travel long distances.

2. Mobile health (mHealth) applications: Developing mobile applications that provide educational resources, appointment reminders, and personalized health information can empower pregnant women to take an active role in their own healthcare and improve access to information.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in their communities can help bridge the gap in access to maternal health services, especially in rural areas.

4. Transportation solutions: Improving transportation infrastructure and implementing transportation programs specifically for pregnant women can ensure that they can easily access healthcare facilities for prenatal care, delivery, and postpartum care.

5. Financial incentives: Introducing financial incentives, such as cash transfers or subsidies, for pregnant women to seek and receive prenatal care can help overcome financial barriers and improve access to maternal health services.

6. Maternal waiting homes: Establishing maternal waiting homes near healthcare facilities can provide a safe and comfortable place for pregnant women to stay during the final weeks of pregnancy, ensuring they are close to the facility when it’s time to give birth.

7. Task-shifting: Training and empowering non-specialist healthcare providers, such as nurses or midwives, to perform certain tasks traditionally done by doctors can help alleviate the shortage of skilled healthcare professionals and improve access to maternal health services.

8. Quality improvement initiatives: Implementing quality improvement initiatives in healthcare facilities, such as standardized protocols and guidelines for maternal care, can improve the overall quality of care provided and increase women’s confidence in seeking maternal health services.

9. Public-private partnerships: Collaborating with private sector organizations, such as pharmaceutical companies or technology companies, can leverage their resources and expertise to improve access to maternal health services, whether through funding, technology solutions, or capacity building.

10. Health education and awareness campaigns: Conducting targeted health education and awareness campaigns to educate communities about the importance of maternal health, the available services, and how to access them can help overcome cultural and social barriers that may prevent women from seeking 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 comprehensive postpartum mental health support: The study highlights the importance of addressing postpartum psychological distress among women who have experienced severe obstetric complications. To improve access to maternal health, healthcare systems should prioritize the implementation of comprehensive postpartum mental health support programs. This can include screening for psychological distress, providing counseling services, and ensuring access to appropriate mental health treatments.

2. Strengthen social protection for women: The study found that women with a live baby were protected from increased vulnerability and psychological distress. To improve access to maternal health, it is crucial to strengthen social protection measures for women, particularly those who have experienced severe obstetric complications. This can include providing financial assistance, access to healthcare services, and support for income-generating activities.

3. Enhance antenatal and postnatal care services: The study highlighted the importance of antenatal and postnatal care in preventing and treating psychological distress. To improve access to maternal health, healthcare systems should focus on enhancing antenatal and postnatal care services. This can include providing comprehensive prenatal and postnatal check-ups, education on mental health, and early identification and management of complications.

4. Address socioeconomic factors: The study identified socioeconomic factors such as debt, poor physical health, and spousal abuse as potential mediators of psychological distress. To improve access to maternal health, it is essential to address these socioeconomic factors. This can be done through targeted interventions such as financial assistance programs, improving access to healthcare services, and implementing measures to prevent and address spousal abuse.

5. Conduct further research: The study conducted in Benin provides valuable insights into the relationship between severe obstetric complications and postpartum psychological distress. To further improve access to maternal health, it is important to conduct additional research in other low- and middle-income countries to understand the context-specific factors influencing maternal mental health. This can help tailor interventions and policies to address the unique challenges faced by women in different settings.

Overall, by implementing these recommendations, healthcare systems can work towards improving access to maternal health and addressing the mental health needs of women who have experienced severe obstetric complications.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Strengthening healthcare infrastructure: Investing in the improvement of healthcare facilities, especially in low-income areas, can help ensure that pregnant women have access to quality maternal health services.

2. Increasing awareness and education: Implementing educational programs and campaigns to raise awareness about the importance of maternal health and the available services can help pregnant women make informed decisions and seek appropriate care.

3. Enhancing transportation systems: Improving transportation systems, especially in rural areas, can help overcome geographical barriers and ensure that pregnant women can reach healthcare facilities in a timely manner.

4. Providing financial support: Implementing financial assistance programs, such as health insurance or subsidies, can help alleviate the financial burden associated with maternal healthcare and make it more accessible to all women.

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

1. Define indicators: Identify key indicators that measure access to maternal health, such as the number of pregnant women receiving prenatal care, the percentage of deliveries attended by skilled healthcare professionals, or the maternal mortality rate.

2. Collect baseline data: Gather data on the current status of these indicators in the target population or region.

3. Introduce the recommendations: Implement the recommended interventions, such as improving healthcare infrastructure, conducting awareness campaigns, enhancing transportation systems, and providing financial support.

4. Monitor and evaluate: Continuously collect data on the indicators to assess the impact of the interventions. This can be done through surveys, interviews, or analysis of existing health records.

5. Analyze the data: Use statistical analysis techniques to compare the baseline data with the post-intervention data and determine the extent to which the recommendations have improved access to maternal health.

6. Draw conclusions and make adjustments: Based on the analysis, draw conclusions about the effectiveness of the recommendations. If necessary, make adjustments to the interventions to further improve access to maternal health.

7. Repeat the process: Continuously monitor and evaluate the impact of the interventions over time, making any necessary modifications to ensure sustained improvement in access to maternal health.

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