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PLOS Medicine | 2012

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

Simone Honikman; Thandi van Heyningen; Sally Field; Emily Baron; Mark Tomlinson

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.


Journal of Affective Disorders | 2016

Antenatal depression and adversity in urban South Africa

Thandi van Heyningen; Landon Myer; Michael Onah; Mark Tomlinson; Sally Field; Simone Honikman

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.


Archives of Womens Mental Health | 2013

Screening and pathways to maternal mental health care in a South African antenatal setting

Bavi Vythilingum; Sally Field; Zuhayr Kafaar; Emily Baron; Dan J. Stein; L. Sanders; Simone Honikman

In low-resource settings, a stepped care approach is necessary to screen and provide care for pregnant women with mental health problems. This study sought to identify screening items that were most robust at differentiating women experiencing psychological distress and requiring counselling [assessed by screening with the Edinburgh Postnatal Depression Scale (EPDS) and a Risk Factor Assessment (RFA)] from those with a psychiatric disorder as diagnosed by a psychiatrist. Case records of women in an antenatal mental health service in Cape Town were reviewed. Composite scores and individual items on screening scales (EPDS, RFA) of participants who qualified for counselling (n = 308) were compared to those of participants who were diagnosed with a psychiatric disorder (n = 58). All participants with a psychiatric disorder were diagnosed with either depression or anxiety disorders. These participants had higher mean scores on the EPDS and RFA than those who qualified for counselling (p < 0.01). Logistic regression and ROC analyses suggested that the best items to distinguish women with depression or anxiety from those qualifying for counselling were ‘I have felt sad and miserable’, ‘I am not pleased about being pregnant’ and ‘I have had serious depression, panic attacks or problems with anxiety before’ (sensitivity 0.655, specificity 0.750 for this combination of three items). A small number of items may be useful in screening for mental illness in pregnancy which requires higher levels of care. Such screening may contribute to a more efficient stepped care approach.


Health & Social Care in The Community | 2015

Patterns of use of a maternal mental health service in a low-resource antenatal setting in South Africa

Emily Baron; Sally Field; Zuhayr Kafaar; Simone Honikman

The prevalence of perinatal common mental disorders in South Africa is high, yet little is known about mental health service use among pregnant and postnatal women. This paper reports on pregnant womens patterns of use of a counselling service at a primary level obstetric facility in Cape Town, South Africa, between January 2010 and December 2011. It investigates whether these are associated with demographics, severity and risk of depressive symptoms. Participants (N = 3311) were screened for psychological distress using the Edinburgh Postnatal Depression Scale (EPDS) at their first antenatal visit. Risk factors for antenatal depression were assessed using a 11-item checklist. Questionnaires were self-administered, but some participants required assistance. Participants scoring positive (≥13) on the EPDS were offered referral to on-site, individual counselling, and assigned to one of three groups according to their service use: declined referral; accepted referral and attended counselling sessions; and accepted referral but defaulted all appointments. Consent to participate was received by 3437 (96.4%) participants who were offered screening, of which 627 (18.9%) screened positive on the EPDS. Of these, 363 (57.9%) attended counselling. Both bivariate analyses and regression analyses revealed that age and risk factor assessment score were associated with screening positive on the EPDS. Odds ratios (OR) for accepting counselling were OR = 0.94 (95% CI = 0.92-0.97) for gestation, OR = 1.27 (95% CI = 1.15-1.39) for EPDS score and OR = 0.48 (95% CI = 0.23-0.99) for reporting three or more risk factors. OR for attending counselling were, for age: OR = 1.06 (95% CI = 1.00-1.12) and for reporting three or more risk factors: OR = 0.60 (95% CI = 0.37-0.97). While the majority of women with psychological distress accessed the counselling service provided, strategies to increase service use of younger pregnant women specifically are required.


Journal of Child & Adolescent Mental Health | 2010

Improving child outcomes through maternal mental health interventions

Ingrid Meintjes; Sally Field; Lisa Sanders; Thandi van Heyningen; Simone Honikman

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.


Archives of Womens Mental Health | 2017

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

Thandi van Heyningen; Simone Honikman; Landon Myer; Michael Onah; Sally Field; Mark Tomlinson

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.


Social Psychiatry and Psychiatric Epidemiology | 2018

Factors associated with household food insecurity and depression in pregnant South African women from a low socio-economic setting: a cross-sectional study

Zulfa Abrahams; Crick Lund; Sally Field; Simone Honikman

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.


PLOS ONE | 2018

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

Thandi van Heyningen; Simone Honikman; Mark Tomlinson; Sally Field; Landon Myer

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.


International Journal of Mental Health Systems | 2016

Predictors of alcohol and other drug use among pregnant women in a peri-urban South African setting

Michael Onah; Sally Field; Thandi van Heyningen; Simone Honikman


Archives of Womens Mental Health | 2017

Perinatal suicidal ideation and behaviour: psychiatry and adversity

Michael Onah; Sally Field; Jason Bantjes; Simone Honikman

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Emily Baron

University of Cape Town

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Landon Myer

University of Cape Town

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Lisa Sanders

University of Cape Town

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