Perceptions of postnatal depression and health care needs in a South African sample: The “mental” in maternal health care

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Study Justification:
– Maternal mental health care is often neglected in low and middle income countries like South Africa.
– The focus of maternal and child health care in these countries is usually on reducing mortality and promoting physical health.
– This study aimed to understand the explanatory models of illness held by women with maternal depression in order to develop an appropriate counseling intervention.
Highlights:
– The study conducted qualitative interviews with mothers diagnosed with depression at a primary health care facility.
– The causes of depression reported by the participants included dimensions of poverty, unwanted pregnancy, and interpersonal conflict.
– Exacerbating factors included negative thoughts and social isolation.
– The participants expressed a positive attitude towards task sharing, indicating that counseling provided by general health care providers could be helpful.
– The study recommends counseling interventions using techniques from cognitive behavioral therapy and problem solving therapy within a task sharing approach.
Recommendations:
– Develop counseling interventions using techniques from cognitive behavioral therapy and problem solving therapy.
– Implement task sharing approach, where counseling is provided by general health care providers.
– Focus on building self-efficacy to address material conditions and relationship problems in poorly resourced primary health care facilities.
Key Role Players:
– General health care providers who can provide counseling services.
– Clinical psychologists who can diagnose and provide further assessment and treatment for major depressive episodes and suicidal ideation.
Cost Items for Planning Recommendations:
– Training and capacity building for general health care providers to provide counseling services.
– Resources for implementing counseling interventions, such as manuals and materials.
– Monitoring and evaluation of the counseling interventions.
– Referral pathways for participants who require further assessment and treatment by clinical psychologists.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a qualitative study conducted with a small sample size. While the study provides valuable insights into the perceptions of postnatal depression and healthcare needs in a South African sample, the findings may not be generalizable to a larger population. To improve the strength of the evidence, future research could include a larger and more diverse sample, as well as quantitative measures to complement the qualitative data. Additionally, conducting the study in multiple healthcare facilities and regions could provide a more comprehensive understanding of the issue.

Background: Maternal mental health care is a neglected area in low and middle income countries (LAMIC) such as South Africa, where maternal and child health care priorities are focused on reducing maternal and infant mortality and promoting infant physical health. In the context of a paucity of mental health specialists, the aim of this study was to understand the explanatory models of illness held by women with maternal depression with the view to informing the development of an appropriate counselling intervention using a task sharing approach. Methods: Twenty semi-structured qualitative interviews were conducted with mothers from a poor socio-economic area who were diagnosed with depression at the time of attending a primary health care facility. Follow-up interviews were conducted with 10 participants in their homes. Results: Dimensions of poverty, particularly food and financial insecurity and insecure accommodation; unwanted pregnancy; and interpersonal conflict, particularly partner rejection, infidelity and general lack of support were reported as the causes of depression. Exacerbating factors included negative thoughts and social isolation. Respondents embraced the notion of task sharing, indicating that counselling provided by general health care providers either individually or in groups could be helpful. Conclusion: Counselling interventions drawing on techniques from cognitive behavioural therapy and problem solving therapy within a task sharing approach are recommended to build self-efficacy to address their material conditions and relationship problems in poorly resourced primary health care facilities in South Africa.

The study was conducted in a community health centre (CHC) in the Dr Kenneth Kaunda district in the North West Province. Economic activities in the district are predominantly mining and agricultural. The unemployment rate in the North West Province was 26.6% in the period the interviews were conducted, relative to 29.1% for South Africa as a whole [24]. Known as the “Platinum Province” with reference to its mineral wealth, mining is the mainstay of the North West Province, and typically attracts male employees. Some men have multiple families or partners, often both at a family home, and at the mining district. This is partly a historical product of the lack of facilities at mines to cater for families who are consequently left behind at home, sometimes in another province for lengthy periods [25]. The CHC is located in an urban township with a mixture of formal and informal dwellings. The facility provides both antenatal and postnatal services as well as a childbirth delivery service. HIV testing is routinely offered antenatally, and most women in the district give birth at health facilities and are attended by midwives. Home observations situate the context in which participants lived. Homes could be categorised as formal brick dwellings, basic Reconstruction and Development Programme (RDP) houses (low cost state subsidised two roomed homes with a kitchen and toilet), and informal shacks constructed with aluminium, cardboard and other materials. Access to electricity or inside ablutions is variable. A focused ethnographic qualitative research approach using in-depth face-to-face interviews, follow-up interviews and observations of participants in the home environment was adopted. A qualitative study was deemed appropriate given the exploratory nature of the research [26]. Kleinman’s concept of explanatory models of illness [23] was used to guide the interviews. This framework typically seeks to understand the way people understand an illness in relation to the cause, course and treatment options for their symptoms. Focused ethnography is used to collect focussed information and assist with interpretations of cultures and systems. Fieldworkers explained the study to women attending services at the CHC postnatal waiting room. Women were randomly approached by a fieldworker in the waiting room and requested to participate. The criteria for participation in the study was women over the age of 18 not previously diagnosed with depression, who had given birth to a live infant who was at the time of the study aged between six weeks and twelve months old. Fifty-three women were screened over two months of which twenty women screened positive and were recruited. There were no refusals. A first stage screening instrument, the Edinburgh Postnatal Depression Scale (EPDS) was administered to participants as it is commonly used worldwide and has been validated for use in South Africa [27]. A cut-off score of 12 was used in this study as suitably predictive of PND [28,29]. A second diagnostic screen, the Structured Clinical Interview for DSM-IV (SCID-II).was used by two clinical psychologists to confirm diagnoses for major depressive disorder. Twenty participants, who met the criteria for a major depressive episode were recruited into the study over a period of 2 months and recruitment ceased once saturation of data was reached. Participants with a history of depression were excluded to ensure the focus on postnatal rather than general or chronic depression. Participants were compensated for their time with $5 (R50) supermarket vouchers. Participants’ demographic characteristics are detailed in Table 1. Sample descriptives of women screened positive on EPDS and meeting criteria for major depressive episode With the participants’ consent, semi-structured, audio-recorded interviews were conducted in Setswana by two clinical psychologists to explore participants’ experiences and explanatory models of postnatal depression, their symptoms and coping strategies. Ten follow-up interviews were conducted with available participants from the first wave of interviewees two months later in their homes. The objective of the follow-up interviews was for participants to confirm earlier findings, to gain a better understanding of participants’ home environments and social contexts, and observe their interactions with family members and infants. The analysis of the first and second set of interviews was combined. The interviews were translated and transcribed into English with back-translation checks being applied by an independent English/Setswana speaker. Thematic analysis was both theory and data driven. Interviews were guided by specific research questions but the participants were encouraged to respond to the questions and to add any related information that they wanted to share. This approach was used to ensure that the essential data that was required to assist with developing the intervention would be collected and that any other data that was collected not specifically related to the research questions but related to the interview would add richness and depth to the data and would be useful to guide the intervention. The data was thus coded using apriori themes based on the interview questions as well as emergent themes with the help of Nvivo qualitative software for data analysis. The first and second authors independently generated themes and coded the data. The generated themes and coded data were compared and consensus reached on the final coded data. Ethical approval was obtained from the Humanities and Social Sciences Research Ethics Committee at the University of KwaZulu-Natal (ethical clearance number HSS/0880/011), and the Policy, Planning, Research, Monitoring and Evaluation division based at the Department of Health in the North West Province. The information and consent sheets were verbally explained to potential participants who were then given the opportunity to read the information sheets and ask questions confidentially. Participants were recruited following informed consent in their preferred language i.e. either Setswana or English. Participants who met the criteria for a major depressive episode and/or suicidal ideation were referred for further assessment and treatment using existing referral pathways. The methodological guideline for qualitative research reporting (RATS) [30] was adhered to in the reporting of the qualitative study in this paper.

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

1. Task Sharing Approach: The study suggests that counseling interventions provided by general health care providers, either individually or in groups, could be helpful. Implementing a task sharing approach, where non-specialist health care providers are trained to provide counseling services, could help improve access to mental health care for mothers with depression.

2. Cognitive Behavioral Therapy (CBT) and Problem Solving Therapy (PST): The study recommends using counseling interventions that draw on techniques from CBT and PST. These evidence-based therapies have been shown to be effective in treating depression and could be adapted for use in poorly resourced primary health care facilities in South Africa.

3. Community-Based Interventions: To improve access to maternal health care, interventions could be developed and implemented at the community level. This could involve training community health workers or other community members to provide support and counseling to mothers with depression. Community-based interventions can help reach women who may face barriers to accessing formal health care services.

4. Mobile Health (mHealth) Solutions: Utilizing mobile technology, such as smartphones or text messaging, could help improve access to maternal health care. mHealth solutions can provide information, support, and reminders to mothers, even in remote or underserved areas. This can help bridge the gap between health care providers and patients, increasing access to essential services.

5. Integrated Care: Integrating mental health care into existing maternal health care services can help ensure that women receive comprehensive care that addresses both their physical and mental health needs. This could involve training health care providers to screen for and address mental health issues during routine antenatal and postnatal visits.

These innovations have the potential to improve access to maternal health care, particularly for women with depression, in low and middle-income countries like South Africa. However, further research and implementation efforts would be needed to assess their effectiveness and feasibility in specific contexts.
AI Innovations Description
The recommendation from the study is to develop counselling interventions using a task sharing approach to improve access to maternal mental health care in South Africa. The study found that dimensions of poverty, unwanted pregnancy, and interpersonal conflict were reported as causes of depression among mothers. Factors such as negative thoughts and social isolation exacerbated the depression. The participants expressed that counselling provided by general health care providers, either individually or in groups, could be helpful. The recommended counselling interventions would draw on techniques from cognitive behavioural therapy and problem-solving therapy. These interventions aim to build self-efficacy in addressing material conditions and relationship problems in poorly resourced primary health care facilities. The study was conducted in a community health centre in the Dr Kenneth Kaunda district in the North West Province of South Africa, where economic activities are predominantly mining and agricultural. The unemployment rate in the North West Province was 26.6% during the study period. The study used a qualitative research approach, including semi-structured interviews and home observations, to understand the experiences and explanatory models of postnatal depression among mothers. The interviews were conducted in Setswana and translated and transcribed into English. Thematic analysis was used to analyze the data. Ethical approval was obtained for the study, and participants were recruited following informed consent.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Increase mental health support: Given that maternal mental health is often neglected in low and middle-income countries, it is important to prioritize mental health support for women during and after pregnancy. This can be done by training general healthcare providers in counseling techniques, such as cognitive behavioral therapy and problem-solving therapy, to address depression and other mental health issues.

2. Task sharing approach: Implement a task sharing approach where counseling services are provided by general healthcare providers, either individually or in groups. This approach can help overcome the shortage of mental health specialists and ensure that women have access to the support they need.

3. Address social determinants of depression: Recognize and address the social determinants of depression, such as poverty, food and financial insecurity, insecure accommodation, unwanted pregnancy, and interpersonal conflict. Providing support and resources to address these factors can help improve maternal mental health outcomes.

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

1. Define the indicators: Identify key indicators that reflect access to maternal health, such as the number of women receiving mental health support during and after pregnancy, the reduction in maternal depression rates, and improvements in overall maternal well-being.

2. Collect baseline data: Gather data on the current state of access to maternal health services, including the availability of mental health support, the prevalence of maternal depression, and the social determinants affecting maternal mental health.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on access to maternal health. This model should consider factors such as the number of healthcare providers trained in counseling techniques, the availability of resources to address social determinants, and the reach of the task sharing approach.

4. Run simulations: Use the simulation model to run various scenarios and assess the potential impact of the recommendations on improving access to maternal health. This can involve adjusting different variables, such as the number of healthcare providers trained, the level of resources allocated, and the implementation strategies.

5. Analyze results: Analyze the simulation results to determine the potential outcomes of implementing the recommendations. This can include assessing the projected increase in access to mental health support, the reduction in maternal depression rates, and the overall improvement in maternal well-being.

6. Refine and validate the model: Continuously refine and validate the simulation model based on real-world data and feedback from stakeholders. This will ensure that the model accurately reflects the impact of the recommendations and can be used as a tool for decision-making and resource allocation.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of implementing the identified recommendations and make informed decisions to improve access to maternal health.

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