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Purpose We aimed to explore the relationship between common mental disorders (CMDs), food insecurity and experiences of domestic violence among pregnant women attending public sector midwife obstetric units and basic antenatal care clinics in Cape Town during the COVID-19 lockdown. Methods Perinatal women, attending 14 healthcare facilities in Cape Town, were enrolled in the study during baseline data collection before the COVID-19 lockdown. During the lockdown period, fieldworkers telephonically contacted the perinatal women who were enrolled in the study and had provided contact details. The following data were collected from those who consented to the study: socio-demographic information, mental health assessment, food insecurity status and experiences of domestic violence. Poisson regression was used to model the associations of a number of risk factors with the occurrence of CMDs. Results Of the 2149 women enrolled in the ASSET study, 885 consented to telephonic interviews. We found that 12.5% of women had probable CMDs and 43% were severely food insecure. Psychological distress increased significantly during the lockdown period, compared to before the COVID-19 outbreak. Using multivariate Poisson regression modelling, we showed that the risk of CMDs was increased in women who were severely food insecure or who experienced psychological or sexual abuse. Conclusions This study provides evidence of the effect of the COVID-19 lockdown on the mental health status of perinatal women living in low-resource settings in Cape Town and highlights how a crisis such as the COVID-19 lockdown amplifies the psycho-social risk factors associated with CMDs in perinatal women.

PURPOSE: The aim of this study was to assess the association between depressive symptoms and suicidal risk over time among perinatal women at risk for depression antenatally, and assess modifying effects of age, perinatal stage and depressive symptom trajectory. METHODS: A total of 384 adult pregnant women were recruited from two antenatal clinics in an informal settlement near Cape town, South Africa, and followed-up at eight months gestation, and at three and 12 months postpartum. The MINI 6.0 Suicidality module and the Hamilton Depression Rating Scale (HDRS) were used to measure suicidal risk and depression, respectively. Generalised Estimating Equations were used to assess the association between change in depressive symptoms from one assessment to the next (predictor) and change in suicide score or change in suicidal risk (score ≥9) (outcomes). RESULTS: HDRS scores were positively correlated with suicide score (95%CI 0.35, 0.78; p

Latent modelling was used to identify trajectories of depressive symptoms among low-income perinatal women in South Africa. Predictors of trajectories and the association of trajectories with child outcomes were assessed. This is a secondary analysis of data collected among women living in Cape Town settlements (N = 446). Participants were eligible if pregnant and 18 years or older, and included in the analysis if allocated to the control arm (routine perinatal care). Participants were excluded in case of non-singleton birth and baby death. Follow-up assessments were at 2 weeks, 6-, 18-, and 36-month postpartum. Trajectories of depressive symptoms were based on the Edinburgh Postnatal Depression Scale scores until 18-month postpartum, using latent class growth analysis. Child physical, cognitive, socio-emotional, and behavioural outcomes were assessed at 18 and/or 36 months. Univariate and multivariate regressions were used to identify predictors of trajectories and differences in child outcomes. Four trajectories were identified: chronic low (71.1%), late postpartum (10.1%), early postpartum (14.4%), and chronic high (4.5%). Low social support, unwanted pregnancy, and risky drinking were associated with the chronic high trajectory; unemployment and HIV-positive status with the early postpartum trajectory; and intimate partner violence with the late postpartum trajectory. Weight-to-length and weight-for-age z-scores at 18 months, and weight-for-age z-scores, length-for-age z-scores, emotional symptom, and peer problem scores at 36 months differed across trajectories. Severe depressive symptoms in postpartum period have a lasting effect on child physical and socio-emotional outcomes. Multiple screening throughout pregnancy and 1-year postpartum is essential.

Purpose Poverty and poor mental health are closely related and may need to be addressed together to improve the life chances of young people. There is currently little evidence about the impact of poverty-reduction interventions, such as cash transfer programmes, on improved youth mental health and life chances. The aim of the study (CHANCES-6) is to understand the impact and mechanisms of such programmes. Methods CHANCES-6 will employ a combination of quantitative, qualitative and economic analyses. Secondary analyses of longitudinal datasets will be conducted in six low- and middle-income countries (Brazil, Colombia, Liberia, Malawi, Mexico and South Africa) to examine the impact of cash transfer programmes on mental health, and the mechanisms leading to improved life chances for young people living in poverty. Qualitative interviews and focus groups (conducted among a subset of three countries) will explore the views and experiences of young people, families and professionals with regard to poverty, mental health, life chances, and cash transfer programmes. Decision-analytic modelling will examine the potential economic case and return-on-investment from programmes. We will involve stakeholders and young people to increase the relevance of findings to national policies and practice. Results Knowledge will be generated on the potential role of cash transfer programmes in breaking the cycle between poor mental health and poverty for young people, to improve their life chances. Conclusion CHANCES-6 seeks to inform decisions regarding the future design and the merits of investing in poverty-reduction interventions alongside investments into the mental health of young people.

Purpose Food 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. Methods We 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. Results We 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). Conclusions Food 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.

PURPOSE: In this study, we aimed to identify factors associated with severe food insecurity and work impairment in people with severe mental disorders (SMD) in a rural African setting, with a view to identifying potential areas for intervention.METHODS: A community-based, cross-sectional survey was conducted in Sodo district, south central Ethiopia. Key informant-identified people with possible SMD were referred for assessment by trained primary care workers and received confirmatory psychiatric diagnoses from psychiatric nurses using a standardized clinical interview. Food insecurity was measured using a locally validated measure, the Household Food Insecurity Access Scale (HFIAS). Work impairment was assessed using the Longitudinal Interval Follow-up Evaluation-Range of Impaired Functioning Tool. Potential moderator variables were specified a priori.RESULTS: A total of 282 people with SMD participated in the study. The proportion of participants reporting severe food insecurity was 32.5% (n = 94), with 53.6% (n = 147) of participants reporting severe work impairment. In the multivariable model, severe food insecurity was associated with poor social support, experience of negative discrimination, higher disability and lower household annual income, but not with symptom severity or work impairment. Work impairment was associated significantly with symptom severity and disability.CONCLUSION: Work impairment and food insecurity were associated with distinct explanatory factors: predominantly social factors associated with food insecurity and clinical factors associated with work productivity. Longitudinal and intervention studies are needed to evaluate the extent to which clinical interventions need to be augmented by social interventions to alleviate food insecurity in people with SMD.

Purpose Little is known regarding the links between mental disorder and lost income in low- and middle-income countries. The purpose of this study was to investigate the association between mental disorder and lost income in the first nationally representative psychiatric epidemiology survey in South Africa. Methods A probability sample of South African adults was administered the World Health Organization Composite International Diagnostic Interview schedule to assess the presence of mental disorders as defined in the Diagnostic and Statistical Manual of Mental Disorders, version IV. Results The presence of severe depression or anxiety disorders was associated with a significant reduction in earnings in the previous 12 months among both employed and unemployed South African adults (p = 0.0043). In simulations of costs to individuals, the mean estimated lost income associated with severe depression and anxiety disorders was $4,798 per adult per year, after adjustment for age, gender, substance abuse, education, marital status, and household size. Projections of total annual cost to South Africans living with these disorders in lost earnings, extrapolated from the sample, were $3.6 billion. These data indicate either that mental illness has a major economic impact, through the effect of disability and stigma on earnings, or that people in lower income groups are at increased risk of mental illness. The indirect costs of severe depression and anxiety disorders stand in stark contrast with the direct costs of treatment in South Africa, as illustrated by annual government spending on mental health services, amounting to an estimated $59 million for adults. Conclusions The findings of this study support the economic argument for investing in mental health care as a means of mitigating indirect costs of mental illness.

There is growing recognition that mental health is an important public health issue in South Africa. Yet mental health services remain chronically under-resourced. The aim of this study was to document levels of current public sector mental health service provision in South Africa and compare services across provinces, in relation to current national policy and legislation.A survey was conducted of public sector mental health service resources and utilisation in South Africa during the 2005 calendar year, using the World Health Organization's Assessment Instrument for Mental Health Systems (WHO-AIMS) Version 2.2.South African policy and legislation both advocate for community-based mental health service provision within a human rights framework. Structures are in place at national level and in all nine provinces to implement these provisions. However, there is wide variation between provinces in the level of mental health service resources and provision. Per 100,000 population, there are 2.8 beds (provincial range 0-7.0) in psychiatric inpatient units in general hospitals, 3.6 beds (0-6.4) in community residential facilities, 18 beds (7.1-39.1) in mental hospitals, and 3.5 beds (0-5.5) in forensic facilities. The total personnel working in mental health facilities are 11.95 per 100,000 population. Of these, 0.28 per 100,000 are psychiatrists, 0.45 other medical doctors (not specialised in psychiatry), 10.08 nurses, 0.32 psychologists, 0.40 social workers, 0.13 occupational therapists, and 0.28 other health or mental health workers.Although there have been important developments in South African mental health policy and legislation, there remains widespread inequality between provinces in the resources available for mental health care; a striking absence of reliable, routinely collected data that can be used to plan services and redress current inequalities; the continued dominance of mental hospitals as a mode of service provision; and evidence of substantial unmet need for mental health care. There is an urgent need to address weak policy implementation at provincial level in South Africa.

In the aftermath of apartheid, South Africa has inherited a fragmented, under-resourced and inequitable public sector mental health service. Attempts are being made to reform mental health services, in keeping with new health policy, which proposes the downscaling of psychiatric institutions and the development of community-based services. This study set out to develop a set of service norms for the care of people with severe psychiatric conditions (SPC) in South Africa, to assist the implementation of the new policy.A national situation analysis of current public sector mental health services was conducted. A model was developed for estimating the mental health service resource needs of people with SPC. Following consultation with provincial stakeholders, a set of service norms were developed taking into account national indicators from the situation analysis (as a baseline level) and proposals of the model (as a target level).The study recommends an increase in the number of acute psychiatric beds in general hospitals; development of community-based residential care; redistribution of staff from hospital to community services, particularly in rural areas; and the development of information systems to monitor the transitions to community-based care.The norms proposals presented in this study express mental health service needs in terms of quantifiable service resource and utilisation levels. In doing so, the study attempts to make explicit the assumptions and values on which planning is based.

Background In post-apartheid South Africa, mental health service planners face critical decisions regarding appropriate and affordable inpatient care. Before a fashion of deinstitutionalisation is followed blindly in South Africa, effective community services should be in place and sufficient psychiatric beds should remain in hospitals for those who cannot be catered for in the community. In order to maintain the delicate balance between hospital and community-based services, it is essential that useful indicators of inpatient care are established. This study documents current bed/population ratios per 100 000 population in public sector mental health services in South Africa. Method A questionnaire was distributed to provincial mental health coordinators requesting psychiatric bed numbers in acute and medium-long stay facilities across all service levels. The information was supplemented by consultations with mental health coordinators in each of the nine provinces. Population data were obtained from preliminary findings of the 1996 census. Results For acute facilities, the mean bed/population ratio was 13 (provincial range: 6–18) per 100 000 population. For medium-long stay facilities, it was 16 (provincial range: 0–29) excluding contracted facilities, and 35 (provincial range: 0–83) including contracted facilities per 100 000 population. Conclusions There were low levels of inpatient service provision in South Africa, and there was considerable variability between provinces. This study gives further support to the need to develop acute inpatient psychiatric services, reduce levels of chronic care where appropriate, and redirect resources towards the development of community-level residential and day-care services. It is crucial to develop accurate indicators to monitor this process.

We developed a locally relevant functioning assessment instrument (FAI) for pregnant women and mothers of young babies to complement a widely validated instrument-the World Health Organization's Disability Assessment Schedule (WHODAS) 12-item version. The FAI is an outcome measure in a randomised controlled trial on the effectiveness of a lay counsellor administered intervention for distressed pregnant women in Khayelitsha, Cape Town.Nine items most commonly reported by 40 pregnant women or mothers with young babies in qualitative interviews were selected for the instrument, with a 10th item 'Other'. The FAI was validated with 142 pregnant women and mothers in Khayelitsha. Analysis was conducted to assess internal reliability, exploratory factor analysis and convergent validity.The FAI had good internal reliability (Cronbach's alpha = 0.77) and the explanatory factor analysis showed a clear 3-factor solution, relating to domestic, childcare and social activities. The FAI scores showed floor effects, but were positively correlated with the two measures of functioning (WHODAS 2.0 and Washington Group Short Set). The FAI scores also correlated with the measure of depression (Edinburgh Postnatal Depression Scale-EPDS), reflecting increased functional limitations associated with increased depressive symptoms.The results show that the FAI has good internal reliability, and good convergent and construct validity as a measure of functioning for this context. This paper reports on the process of developing an instrument and highlights the importance of using instruments that are locally relevant to ensure accurate measurement of functional status.

Studies exploring the relationship between poverty and mental health in low and middle income countries (LMICs) have produced somewhat conflicting results. This has partly been attributed to poorly operationalized and oversimplified poverty measures. This paper has two aims: (1) to review how socio-economic outcomes in psychiatric epidemiology in LMICs are measured; (2) based on this review, to provide a set of generic recommendations for measuring poverty in psychiatric epidemiology in LMIC. This is relevant for mental health researchers, and for practitioners and policy makers who use mental health research findings. This review was part of a broader systematic review examining the association between poverty and mental illness. An analytic framework was developed to examine the definition and measurement of poverty in these studies. The majority of studies provided no definition for the concept of poverty being used, and very few measured poverty through standardized or validated methods. Many poverty indicators were broken down into extremely open-ended and vague categories, with no details on how the parameters were defined or derived, and no documentation of the time period and unit of analysis for which the poverty variable was measured. This review revealed that using poverty as an indicator in mental health research in LMIC is still in its infancy, with much room for improvement. The implications of poor measurement of poverty in psychiatric epidemiology are discussed. The recommendations provided will hopefully help researchers in psychiatric epidemiology use the concept of poverty in a much more critical, systematic and appropriate manner.