Thandi van Heyningen

Stepped Care for Maternal Mental Health: A Case Study of the Perinatal Mental Health Project in South Africa

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.

Antenatal depression and adversity in urban South Africa

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. CONCLUSION 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.

Improving child outcomes through maternal mental health interventions

This commentary will provide a general overview of the public health considerations of maternal mental illness, both from a global perspective as well as from the South African context. The paper will outline the consequences of maternal mental illness for mothers as well as their offspring, through the life stages from pregnancy until adulthood. The paper then describes the Perinatal Mental Health Project (PMHP), an intervention that addresses maternal mental health in Cape Town, South Africa. The evidence emerging from this example contributes to the case for integrating maternal mental health into the mainstream health environment.

Prevalence and predictors of anxiety disorders amongst low-income pregnant women in urban South Africa: a cross-sectional study

Anxiety is highly prevalent in many populations; however, the burden of anxiety disorders amongst pregnant women in low-resource settings is not well documented. We investigated the prevalence and predictors of antenatal anxiety disorders amongst low-income women living with psychosocial adversity. Pregnant women were recruited from an urban, primary level clinic in Cape Town, South Africa. The Mini-International Neuropsychiatric Interview 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. Amongst 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), Major depressive episode (MDE) diagnosis (AOR 3.83; CI 1.99–7.31), multigravidity (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). 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.

Comparison of mental health screening tools for detecting antenatal depression and anxiety disorders in South African women

Background Antenatal depression and anxiety disorders are highly prevalent in low and middle-income countries. Screening of pregnant women in primary care antenatal settings provides an opportunity for entry to care, but data are needed on the performance of different screening tools. We compared five widely-used questionnaires in a sample of pregnant women in urban South Africa. Method Pregnant women attending a primary care antenatal clinic were administered five tools by trained research assistants: the Edinburgh Postnatal Depression Scale (EPDS), the Patient Health Questionnaire (PHQ-9), the Kessler Psychological Distress scale (K10) and a shortened 6-item version (K6), the Whooley questions and the two-item Generalised Anxiety Disorder scale (GAD-2). Following this, a registered mental health counsellor administered the MINI Plus, a structured clinical diagnostic interview. The Area Under the Curve (AUC) from Receiver Operator Characteristic curve analysis was used to summarise screening test performance and Cronbach’s α used to assess internal consistency. Results Of 376 participants, 32% were diagnosed with either MDE and/or anxiety disorders. All five questionnaires demonstrated moderate to high performance (AUC = 0.78–0.85). The EPDS was the best performing instrument for detecting MDE and the K10 and K6 for anxiety disorder. For MDE and/or anxiety disorders, the EPDS had the highest AUC (0.83). Of the short instruments, the K10 (AUC = 0.85) and the K6 (AUC = 0.85) performed the best, with the K6 showing good balance between sensitivity (74%) and specificity (85%) and a good positive predictive value (70%). The Whooley questions (AUC = 0.81) were the best performing ultra-short instrument. Internal consistency ranged from good to acceptable (α = 0.89–0.71). However, the PPV of the questionnaires compared with the diagnostic interview, ranged from 54% to 71% at the optimal cut-off scores. Conclusions Universal screening for case identification of antenatal depression and anxiety disorders in low-resource settings can be conducted with a number of commonly used screening instruments. Short and ultra-short screening instruments such as the K6 and the Whooley questions may be feasible and acceptable for use in these settings.