Crick Lund and colleagues describe their plans for the PRogramme for Improving Mental health carE (PRIME), which aims to generate evidence on implementing and scaling up integrated packages of care for priority mental disorders in primary and maternal health care contexts in Ethiopia, India, Nepal, South Africa, and Uganda.

for the Depression Screening Data (DEPRESSD) PHQ Collaboration IMPORTANCE The Patient Health Questionnaire depression module (PHQ-9) is a 9-item self-administered instrument used for detecting depression and assessing severity of depression. The Patient Health Questionnaire-2 (PHQ-2) consists of the first 2 items of the PHQ-9 (which assess the frequency of depressed mood and anhedonia) and can be used as a first step to identify patients for evaluation with the full PHQ-9.OBJECTIVE To estimate PHQ-2 accuracy alone and combined with the PHQ-9 for detecting major depression.

Pregnancy is a complex and vulnerable period that presents a number of challenges to women, including the development of postpartum psychiatric disorders (PPDs). These disorders can include postpartum depression and anxiety, which are relatively common, and the rare but more severe postpartum psychosis. In addition, other PPDs can include obsessive-compulsive disorder, post-traumatic stress disorder and eating disorders. The aetiology of PPDs is a complex interaction of psychological, social and biological factors, in addition to genetic and environmental factors. The goals of treating postpartum mental illness are reducing maternal symptoms and supporting maternal-child and family functioning. Women and their families should receive psychoeducation about the illness, including evidence-based discussions about the risks and benefits of each treatment option. Developing effective strategies in global settings that allow the delivery of targeted therapies to women with different clinical phenotypes and severities of PPDs is essential.

As one article in a series on Global Mental Health Practice, Simone Honikman and colleagues from South Africa provide a case study of the Perinatal Mental Health Project, which delivered mental health care to pregnant women in a collaborative, step-wise manner, making use of existing resources in primary care.

Background In low and middle-income countries (LMIC), common mental disorders affecting pregnant women receive low priority, despite their disabling effect on maternal functioning and negative impact on child health and development. We investigated the prevalence of risk factors for antenatal depression among women living in adversity in a low-resource, urban setting in Cape Town, South Africa. Methods The MINI Neuropsychiatric Interview (MINI Plus) was used to measure the diagnostic prevalence of depression amongst women attending their first antenatal visit at a primary-level, community-based clinic. Demographic data were collected followed by administration of questionnaires to measure psychosocial risk. Analysis examined the association between diagnosis of depression and psychosocial risk variables, and logistic regression was used to investigate predictors for major depressive episode (MDE). Results Among 376 women participating, the mean age was 26 years. The MINI-defined prevalence of MDE was 22%, with 50% of depressed women also expressing suicidality. MDE diagnosis was significantly associated with multiple socioeconomic and psychosocial risk factors, including a history of depression or anxiety, food insecurity, experience of threatening life events and perceived support from family. Limitations The use of self-report measures may have led to recall bias. Retrospective collection of clinical data limited our ability to examine some known risk factors for mental distress. Conclusions These findings confirm the high prevalence of MDE among pregnant women in LMIC settings. Rates of depression may be increased in settings where women are exposed to multiple risks. These risk factors should be considered when planning maternal mental health interventions.

Purpose Anxiety is highly prevalent in many populations; however, the burden of anxiety disorders among pregnant women in low-resource settings is not well documented. We investigated the prevalence and predictors of antenatal anxiety disorders among low-income women living with psychosocial adversity. Methods Pregnant women were recruited from an urban, primary level clinic in Cape Town, South Africa. The MINI Plus diagnostic interview assessed prevalence of anxiety disorders. Four self-report questionnaires measured psychosocial characteristics. Logistic regression models explored demographic and socioeconomic characteristics, psychosocial risk factors and psychiatric comorbidity as predictors for anxiety disorders. Results Among 376 participants, the prevalence of any anxiety disorder was 23%. Although 11% of all women had post-traumatic stress disorder, 18% of the total sample was diagnosed with other anxiety disorders. Multivariable analysis revealed several predictors for anxiety including: a history of mental health problems (Adjusted Odds Ratio [AOR]: 4.11; 95% confidence interval (CI): 2.03–8.32), MDE diagnosis (AOR: 3.83; CI 1.99–7.31), multi-gravidity (AOR: 2.87; CI: 1.17–7.07), food insecurity (AOR: 2.57; CI: 1.48–4.46), unplanned and unwanted pregnancy (AOR: 2.14; CI: 1.11–4.15), pregnancy loss (AOR: 2.10; CI: 1.19–3.75); and experience of threatening life events (AOR: 1.30; CI: 1.04–1.57). Increased perceived social support appeared to reduce the risk for antenatal anxiety (AOR: 0.95; CI: 0.91–0.99). Conclusion A range of antenatal anxiety disorders are prevalent amongst pregnant women living in low-resource settings. Women who experience psychosocial adversity may be exposed to multiple risk factors, which render them vulnerable to developing antenatal anxiety disorders.

PurposeFood insecurity has been linked with maternal depression in low-income settings. Few studies have looked at factors associated with both food insecurity and maternal depression as outcomes. This study aimed to assess factors associated with food insecurity and depression in a sample of pregnant South African women.MethodsWe conducted a cross-sectional study at a Midwife Obstetric Unit in a low-income suburb in Cape Town. Pregnant women attending the clinic for their first antenatal visit were invited to participate. The shortened form of the US Household Food Security Survey Module was used to measure food insecurity. The Expanded Mini-International Neuropsychiatric Interview was used to diagnose depression, anxiety, alcohol and drug dependence, and assess for suicidal ideation and behaviour. Logistic regression modelling was conducted to explore factors associated with food insecurity and depression in separate models.ResultsWe found that 42% of households were food insecure and that 21% of participants were depressed (N = 376). The odds of being food insecure were increased in women with suicidal behaviour (OR = 5.34; 95% CI 1.26–22.57), with depression (4.27; 1.43–12.70) and in those with three or more children (3.79; 1.25–11.55). The odds of depression was greater in women who were food insecure (5.30; 1.63–17.30), substance dependent (15.83; 1.31–191.48) or diagnosed with an anxiety disorder (5.04; 1.71–14.82).ConclusionsFood insecurity and depression are strongly associated in pregnant women. The relationship between food insecurity and depression is complex and requires further investigation. Interventions that improve both food security and mental health during the perinatal period are likely to benefit the physical and mental well-being of mothers and children.

BackgroundThe integration of maternal mental health into primary health care has been advocated to reduce the mental health treatment gap in low- and middle-income countries (LMICs). This study reports findings of a cross-country situation analysis on maternal mental health and services available in five LMICs, to inform the development of integrated maternal mental health services integrated into primary health care.MethodsThe situation analysis was conducted in five districts in Ethiopia, India, Nepal, South Africa and Uganda, as part of the Programme for Improving Mental Health Care (PRIME). The analysis reports secondary data on the prevalence and impact of priority maternal mental disorders (perinatal depression, alcohol use disorders during pregnancy and puerperal psychosis), existing policies, plans and services for maternal mental health, and other relevant contextual factors, such as explanatory models for mental illness.ResultsLimited data were available at the district level, although generalizable data from other sites was identified in most cases. Community and facility-based prevalences ranged widely across PRIME countries for perinatal depression (3–50 %) and alcohol consumption during pregnancy (5–51 %). Maternal mental health was included in mental health policies in South Africa, India and Ethiopia, and a mental health care plan was in the process of being implemented in South Africa. No district reported dedicated maternal mental health services, but referrals to specialised care in psychiatric units or general hospitals were possible. No information was available on coverage for maternal mental health care. Challenges to the provision of maternal mental health care included; limited evidence on feasible detection and treatment strategies for maternal mental disorders, lack of mental health specialists in the public health sector, lack of prescribing guidelines for pregnant and breastfeeding women, and stigmatising attitudes among primary health care staff and the community.ConclusionsIt is difficult to anticipate demand for mental health care at district level in the five countries, given the lack of evidence on the prevalence and treatment coverage of women with maternal mental disorders. Limited evidence on effective psychosocial interventions was also noted, and must be addressed for mental health programmes, such as PRIME, to implement feasible and effective services.