Search

The STRiDE project sets out to support the development of effective dementia policy in middle-income countries (Brazil, India, Indonesia, Jamaica, Kenya, Mexico, and South Africa). As part of this it will generate new data about the prevalence of dementia for a subset of these countries. This study aims to identify the current estimates of dementia prevalence in these countries and where the gaps lie in the current literature. A systematic review was completed on 30th April 2019 across electronic databases, identifying dementia prevalence literature originating from any of the seven countries. Four hundred and twenty-nine records were identified following de-duplication; 28 studies met the inclusion criteria and were included in the systematic review. Pooled estimates of dementia prevalence ranged from 2% to 9% based on DSM-IV criteria; these figures were generally higher in studies using other diagnostic criteria (e.g. the 10/66 algorithm). Available prevalence data varied between countries. Only Brazil, Mexico and India had data derived from studies judged as having a low risk of bias. Irrespective of country, studies often were not explicit in detailing the representativeness of their sample, or whether there was non-response bias. Further transparent and externally valid dementia prevalence research is needed across the STRiDE countries. [ABSTRACT FROM AUTHOR]

There is a need in South Africa to understand the status of available care and support to strengthen responses to dementia. This study provides a situational analysis of the current provisions of health, care and support for older persons, people living with dementia and their families in South Africa. It is a first step towards describing the landscape of needs and services available, and provides an evidence base to inform priority-setting for strengthening responses to dementia in South Africa. This situational analysis was conducted in three phases: (1) a desk review guided by a comprehensive topic guide which includes the WHO's Global Dementia Observatory indicators; (2) multi-sectoral stakeholder interviews to verify the secondary sources used in the desk review, and to identify gaps and opportunities in policy and service provisions; and (3) a SWOT-analysis examining the strengths, weaknesses, opportunities and threats in current care and support provisions in South Africa. Our findings highlight the gaps and opportunities with current service provision and show how structural factors create barriers to diagnosis, support, and care. There is an urgent need for intersectoral policy responses to support and strengthen current health, social care, and long-term support systems so that people living with dementia and their families can live and age well. This paper forms part of a larger study on strengthening responses to dementia (The STRIDE project)., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: A core element of the Strengthening Responses to Dementia in Developing Countries (STRiDE) programme was to generate novel data on the prevalence, cost and impact of dementia in low- and middle-income countries, to build better health policy. Indonesia and South Africa are two middle-income countries in need of such data., Aims: To present the STRiDE methodology and generate estimates of dementia prevalence in Indonesia and South Africa., Method: We conducted community-based, single-phase, cross-sectional studies in Indonesia and South Africa, randomly sampling participants aged 65 years or older in each country. Dementia prevalence rates for each country were generated by using the 10/66 short schedule and applying its diagnostic algorithm. Weighted estimates were calculated with national sociodemographic data., Results: Data were collected between September and December 2021 in 2110 people in Indonesia and 408 people in South Africa. The adjusted weighted dementia prevalence was 27.9% (95% CI 25.2-28.9) in Indonesia and 12.5% (95% CI 9.5-16.0) in South Africa. Our results indicate that there could be >4.2 million people in Indonesia and >450 000 people in South Africa who have dementia. Only five participants (0.2%) in Indonesia and two (0.5%) in South Africa had been previously diagnosed with dementia., Conclusions: Despite prevalence estimates being high, formal diagnosis rates of dementia were very low across both countries (<1%). Further STRiDE investigations will provide indications of the impact and costs of dementia in these countries, but our results provide evidence that dementia needs to be prioritised within national health and social care policy agendas.

Cross-cultural adaptation is an important part of using validated questionnaires across countries and settings. Here we describe the cross-cultural process adopted in the STRiDE (STrengthening Responses to dementia in DEveloping countries) program. We adopted a cross-cultural adaptation process including forward translation, back translations, and cognitive interviews of the STRiDE toolkit. In total, 50 older adults and 41 carers across sites in Indonesia and South Africa participated in cognitive interviews; field notes and verbatim quotes are reported. We describe the cross-cultural adaptation process of the STRiDE toolkit. During the process, issues were identified with the translated toolkit, including aspects related to cultural appropriateness, terminology equivalence, and timings. The data demonstrate that a rigorous, yet pragmatic, cross-cultural adaptation process can be achieved even with limited resources. Our process should help the design and conduct of future dementia research in various contexts., Competing Interests: There are no conflicts of interest to declare., (© 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.)

Background: Whilst several systematic reviews conducted in Low- and Middle-Income Countries (LMICs) have revealed that coverage under social (SHI), national (NHI) and community-based (CBHI) health insurance has led to increased utilization of health care services, it remains unknown whether, and what aspects of, these shifts in financing result in improvements to mental health care utilization. The main aim of this review was to examine the impact of SHI, NHI and CBHI enrollment on mental health care utilization in LMICs., Methods: Systematic searches were performed in nine databases of peer-reviewed journal articles: Pubmed, Scopus, SciELO via Web of Science, Africa Wide, CINAHL, PsychInfo, Academic Search Premier, Health Source Nursing Academic and EconLit for studies published before October 2018. The quality of the studies was assessed using the Effective Public Health Practice Project quality assessment tool for quantitative studies. The systematic review was reported according to the PRISMA guidelines (PROSPERO;2018; CRD42018111576)., Results: Eighteen studies were included in the review. Despite some heterogeneity across countries, the results demonstrated that enrollment in SHI, CBHI and NHI schemes increased utilization of mental health care. This was consistent for the length of inpatient admissions, number of hospitalizations, outpatient use of rehabilitation services, having ever received treatment for diagnosed schizophrenia and depression, compliance with drug therapies and the prescriptions of more favorable medications and therapies, when compared to the uninsured. The majority of included studies did not describe the insurance schemes and their organizational details at length, with limited discussion of the links between these features and the outcomes. Given the complexity of mental health service utilization in these diverse contexts, it was difficult to draw overall judgements on whether the impact of insurance enrollment was positive or negative for mental health care outcomes., Conclusions: Studies that explore the impact of SHI, NHI and CBHI enrollment on mental health care utilization are limited both in number and scope. Despite the fact that many LMICs have been hailed for financing reforms towards universal health coverage, evidence on the positive impact of the reforms on mental health care utilization is only available for a small sub-set of these countries.

Aim: The aim of this study was to assess the association between depression symptom severity and household income, consumption, asset-based wealth, debt and use of distress financing strategies, to understand how depression symptom severity and household economic welfare are related., Methods: A household survey was administered to the households of primary health clinic-attenders who were screened for depression symptoms using the 9-item Patient Health Questionnaire in the chronic care units of four primary health clinics in the North West province of South Africa. Univariate and multivariable regression models were used to assess whether a range of household economic measures were significant predictors of depression symptom severity; and whether depression symptom severity significantly predicted changes to household economic welfare, across a number of different economic measures using both multiple linear regression and logistic regression analyses., Results: On univariate analysis, certain characteristics were associated with significantly worse (higher) PHQ-9 scores, namely: households in which the household head was younger, female, and unmarried; households in which the indexed patient was younger, and did not receive an education beyond primary school; increasing household size, receipt of a social grant, households living in housing constructed of metal sheet walls and households making use of a public tap as their primary water source. In addition, univariate analysis demonstrated that higher log-transformed food expenditure, lower log-transformed capacity to pay, the presence of household debt and both reducing the size or frequency of meals and drawing up retail shop accounts in response to financial distress over the past three years were associated with significantly worse (higher) PHQ-9 scores. Multivariable analysis demonstrated that larger household sizes (p<0.05), receipt of social grants (p<0.05), higher food expenditure (p<0.01), and drawing up retail shop accounts in response to financial distress (p<0.05) were independently predictive of worse (higher) PHQ-9 scores. Inversely, increasing age of the household head (p<0.05), having piped water directly into the household (as opposed to making use of a public water sources) (p<0.01), and increasing capacity to pay (p<0.01) were independently predictive of better (lower) PHQ-9 scores. Similarly, multivariable analysis demonstrated that worse (higher) PHQ-9 scores were independently predictive of lower household capacity to pay (p<0.10) and higher food expenditure (p<0.01)., Conclusions: This study is the first of its kind in South Africa, identifying household economic factors associated with increased depression symptom severity on a continuum; and demonstrating that financial risk protection efforts are needed across this continuum. The study demonstrates that the relationship between poverty and mental health extends beyond the individual to affect household economic functioning. These findings must be included in policy considerations to achieve effective protection for vulnerable households facing the interaction of depression and adverse economic circumstances., Competing Interests: The authors have declared that no competing interests exist.

The inclusion of mental health in the Sustainable Development Goals represents a global commitment to include mental health among the highest health and development priorities for investment. Low- and middle-income countries (LMICs), such as South Africa, contemplating mental health system scale-up embedded into wider universal health coverage-related health system transformations, require detailed and locally derived estimates on existing mental health system resources and constraints. The absence of these data has limited scale-up efforts to address the burden of mental disorders in most LMICs. We conducted a national survey to quantify public expenditure on mental health and evaluate the constraints of the South African mental health system. The study found that South Africa's public mental health expenditure in the 2016/17 financial year was USD615.3 million, representing 5.0% of the total public health budget (provincial range: 2.1-7.7% of provincial health budgets) and USD13.3 per capita uninsured. Inpatient care represented 86% of mental healthcare expenditure, with nearly half of total mental health spending occurring at the psychiatric hospital-level. Almost one-quarter of mental health inpatients are readmitted to hospital within 3 months of a previous discharge, costing the public health system an estimated USD112 million. Crude estimates indicate that only 0.89% and 7.35% of the uninsured population requiring care received some form of public inpatient and outpatient mental healthcare, during the study period. Further, mental health human resource availability, infrastructure and medication supply are significant constraints to the realization of the country's progressive mental health legislation. For the first time, this study offers a nationally representative reflection of the state of mental health spending and elucidates inefficiencies and constraints emanating from existing mental health investments in South Africa. With this information at hand, the government now has a baseline for which a rational process to planning for system reforms can be initiated., (© The Author(s) 2019. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.)

Background: Current coverage of mental healthcare in low- and middle-income countries is very limited, not only in terms of access to services but also in terms of financial protection of individuals in need of care and treatment., Aims: To identify the challenges, opportunities and strategies for more equitable and sustainable mental health financing in six sub-Saharan African and South Asian countries, namely Ethiopia, India, Nepal, Nigeria, South Africa and Uganda., Method: In the context of a mental health systems research project (Emerald), a multi-methods approach was implemented consisting of three steps: a quantitative and narrative assessment of each country's disease burden profile, health system and macro-fiscal situation; in-depth interviews with expert stakeholders; and a policy analysis of sustainable financing options., Results: Key challenges identified for sustainable mental health financing include the low level of funding accorded to mental health services, widespread inequalities in access and poverty, although opportunities exist in the form of new political interest in mental health and ongoing reforms to national insurance schemes. Inclusion of mental health within planned or nascent national health insurance schemes was identified as a key strategy for moving towards more equitable and sustainable mental health financing in all six countries., Conclusions: Including mental health in ongoing national health insurance reforms represent the most important strategic opportunity in the six participating countries to secure enhanced service provision and financial protection for individuals and households affected by mental disorders and psychosocial disabilities., Declaration of Interest: D.C. is a staff member of the World Health Organization.

Background: There is a lack of high quality population-based studies from low- and middle-income countries examining the relative economic status of households with and without a member with a mental health problem. The aim of the study was to explore the socio-economic status of households with a person with severe mental disorder (SMD; psychosis or bipolar disorder) or depression compared to households without an affected person., Methods: A population-based, comparative, cross-sectional household survey was conducted in Sodo district, south Ethiopia, between January and November 2015. Two samples were recruited, each with its own comparison group. Sample (1): households of 290 community-ascertained persons with a clinician-confirmed diagnosis of SMD and a comparison group of 289 households without a person with SMD. Sample (2): households of 128 people who attended the primary health care centre and who were identified by primary care staff as having a probable diagnosis of depressive disorder; and comparison households of 129 patients who attended for other reasons and who did not receive a diagnosis of depression. Household socioeconomic status (household income, consumption and asset-based wealth) was assessed using a contextualized version of theWorld Health Organization (WHO) Study on global Ageing and adult health (SAGE) questionnaire. Each disorder group (SMD and depression) was further divided into higher and lower disability groups on the basis of median score on the WHO Disability Assessment Schedule., Results: Households of a person with SMD who had higher disability were more likely to have a poorer living standard (no toilet facility; p < 0.001). Having a reliable source of regular income was significantly lower in households of a person with SMD (p = 0.008) or depression (p = 0.046) with higher disability than the comparison group. Households of persons with SMD with higher disability earned less (p = 0.005) and owned significantly fewer assets (p < 0.001) than households without SMD. Households including persons with depression who had higher disability had lower income (p = 0.042) and reduced consumption (p = 0.048)., Conclusions: Households with a member who had either SMD or depression were socioeconomically disadvantaged compared to the general population. Moreover, higher disability was associated with worse socio-economic disadvantage. Prospective studies are needed to determine the direction of association. This study indicates a need to consider households of people with SMD or depression as a vulnerable group requiring economic support alongside access to evidence-based mental healthcare.

Background: The extent of catastrophic health expenditure and impoverishment associated with depression in low-and middle-income countries is not known. The aim of this study was to estimate the incidence and intensity of catastrophic out-of-pocket (OOP) health expenditure, level of impoverishment and coping strategies used by households of persons with and without depression in a rural Ethiopian district., Methods: A comparative cross-sectional survey was conducted, including 128 households of persons with depression and 129 households without. Depression screening was conducted using the Patient Health Questionnaire, nine item version (PHQ-9). People in the depression group were classified into high and low disability groups based on the median value on the World Health Organization Disability Assessment Schedule (WHODAS) polytomous summary score. Health expenditure greater than thresholds of 10 and 25% of total household consumption was used for the primary analyses. The poverty headcount, poverty gap and normalized poverty gap were estimated using retrospective recall of total household expenditure pre- and post-OOP payments for health care. Linear probability model using binreg command in STATA with rr option was used to estimate risk ratio for the occurrence of outcomes among households with and without depression based on level of disability., Results: Catastrophic OOP payments at any threshold level for households with depression and high disability were higher than control households. At the 10% threshold level, 24.0% of households of persons with depression and high disability faced catastrophic payments compared with 15.3% for depression and low disability and 12.1% for control households (p = 0.041). Depression and high disability level was an independent predictor of catastrophic OOP payments: RR 2.1; 95% CI:1.1, 4.6. An estimated 5.8% of households of persons with depression and high disability were pushed into poverty because of paying for health care compared with 3.5% for households of persons with depression and low disability and 2.3% for control households (p = 0.039)., Conclusions: Households of people with depression and high disability were more likely to face catastrophic expenditures and impoverishment from OOP payments. Financial protection interventions through prepayment schemes, exemptions and fee waiver strategies need to target households of persons with depression.

Background: There are limited data on healthcare spending by households containing a person with severe mental disorder (SMD) in low- and middle-income countries (LMIC). This study aimed to estimate the incidence and intensity of catastrophic out-of-pocket (OOP) payments and coping strategies implemented by households with and without a person with SMD in a rural district of Ethiopia., Methods: A comparative cross-sectional community household survey was carried out from January to November 2015 as part of the Emerald programme (emerging mental health systems in low- and middle-income countries). A sample of 290 households including a person with SMD and 289 comparison households without a person with SMD participated in the study. An adapted and abbreviated version of the World Health Organization SAGE (Study on global Ageing and adult health) survey instrument was used. Households were considered to have incurred catastrophic health expenditure if their annual OOP health expenditures exceeded 40% of their annual non-food expenditure. Multiple logistic regression was used to explore factors associated with catastrophic expenditure and types of coping strategies employed., Results: The incidence of catastrophic OOP payments in the preceding 12 months was 32.2% for households of a person with SMD and 18.2% for comparison households (p = 0.006). In households containing a person with SMD, there was a significant increase in the odds of hardship financial coping strategies (p < 0.001): reducing medical visits, cutting down food consumption, and withdrawing children from school. Households of a person with SMD were also less satisfied with their financial status and perceived their household income to be insufficient to meet their livelihood needs (p < 0.001)., Conclusions: Catastrophic OOP health expenditures in households of a person with SMD are high and associated with hardship financial coping strategies which may lead to poorer health outcomes, entrenchment of poverty and intergenerational disadvantage. Policy interventions aimed at financial risk pooling mechanisms are crucial to reduce the intensity and impact of OOP payments among vulnerable households living with SMD and support the goal of universal health coverage., Competing Interests: Competing interestsThis study is part of a Ph.D. research and the source of the funding is partially from Addis Ababa University. We declare that we have no other competing interests.

Background and Aims: Current coverage of mental health care in low- and middle-income countries is limited, not only in terms of access to services but also in terms of financial protection of persons in need of care and treatment. This is especially pertinent considering the established relationship between mental illness and poverty and the need to ensure the financial risk protection of persons with mental disorders and their families as part of country's efforts to attain universal health coverage. This study set out to review the health and socio-economic contexts of Nigeria as well as to generate strategies for sustainable mental health financing that will be feasible, within the specific context of the country., Methods: A multi-methods approach was developed and applied, consisting of three steps: a situational analysis of Nigeria's health system, macro-fiscal economic profile, and socio-political status, including a strengths, weaknesses, opportunities and threats (SWOT) analysis of the Nigerian socio-economic, general and mental health context; key informant interviews with 12 expert stakeholders drawn from state and non-state actors in the health and financial sectors; and a policy analysis of sustainable financing options., Results: Key challenges identified were: poor funding; reduced access to care, resulting in a huge treatment gap; and out of pocket payment for services-leading to impoverishment. Comprehensive coverage of mental health conditions within the ongoing health insurance reforms was identified as a key strategy for moving towards sustainable mental health financing in Nigeria. Other identified strategies include enhanced integration of mental health into primary care; incorporation of mental health into other strategic and currently funded programmes; adoption of performance-based financing measures; and renewed engagement with stakeholders, including external donor institutions., Conclusions: A suite of feasible and actionable measures can be implemented to increase mental health service financing, reduce health-related financial burden on households, increase help-seeking and access to quality mental health care and, ultimately, reduce the large treatment and financing gap for mental disorders in Nigeria., Competing Interests: Competing interestsThe authors declare that they have no competing interests.

Background: Little is known about the household economic costs associated with mental, neurological and substance use (MNS) disorders in low- and middle-income countries., Aims: To assess the association between MNS disorders and household education, consumption, production, assets and financial coping strategies in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda., Method: We conducted an exploratory cross-sectional household survey in one district in each country, comparing the economic circumstances of households with an MNS disorder (alcohol-use disorder, depression, epilepsy or psychosis) (n = 2339) and control households (n = 1982)., Results: Despite some heterogeneity between MNS disorder groups and countries, households with a member with an MNS disorder had generally lower levels of adult education; lower housing standards, total household income, effective income and non-health consumption; less asset-based wealth; higher healthcare expenditure; and greater use of deleterious financial coping strategies., Conclusions: Households living with a member who has an MNS disorder constitute an economically vulnerable group who are susceptible to chronic poverty and intergenerational poverty transmission., Declaration of Interest: D.C. is a staff member of the World Health Organization. The authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy or views of the World Health Organization.

Integrated care is defined as health services that are managed and delivered such that people receive a continuum of health promotion, disease prevention, diagnosis, treatment, disease management, rehabilitation, and palliative care services, coordinated across the different levels and sites of care within and beyond the health sector and, according to their needs, throughout the life course. In this Review, we describe the most relevant concepts and models of integrated care for people with chronic (or recurring) mental illness and comorbid physical health conditions, provide a conceptual overview and a narrative review of the strength of the evidence base for these models in high-income countries and in low-income and middle-income countries, and identify opportunities to test the feasibility and effects of such integrated care models. We discuss the rationale for integrating care for people with mental disorders into chronic care; the models of integrated care; the evidence of the effects of integrating care in high-income countries and in low-income and middle-income countries; the key organisational challenges to implementing integrated chronic care in low-income and middle-income countries; and the practical steps to realising a vision of integrated care in the future., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Background: With the implicit neglect for the integration of mental health services into general health service development in South Africa, there is an urgent need for an understanding of the ways in which existing reforms may be leveraged to incorporate the objectives of the National Mental Health Policy Framework and Strategic Plan (MHPF) and the mechanisms by which these reforms can be structured and financed in the context of fiscal constraint., Methods: A situational analysis guided by a newly developed analytical framework for sustainable mental health financing was conducted. The review was followed by qualitative, indepth interviews with a range of expert national stakeholders., Results: Although the MHPF is said to be consistent with ongoing efforts toward the implementation of National Health Insurance (NHI), there is clear evidence of discordance between the MHPF and the NHI. The most promising strategies for sustainable mental health financing include: increased decentralization of resources to primary and community mental health services; active integration of mental health into ongoing NHI implementation including expanding the mandate of District hospitals and drawing on the private sector; submission of costed budget bids to support a mental health conditional grant and ensuring that explicit outcomes and deliverables are in place to monitor Provincial implementation., Conclusion: This paper has suggested several ways in which existing reforms may be leveraged to incorporate the objectives of the MHPF and achieve better mental health outcomes for South Africans, revealing critical opportunities for mental health service scale-up to be embedded in South Africa's future health delivery strategy. The realization of a conditional grant for mental health will require technical expertise to cost existing services towards the development of an investment case for mental health service scale-up nationally, projecting potential resource requirements and returns on investment of a strong service platform. In the longer-term, the NHI benefit package must be expanded to include comprehensive mental health services at all levels. Explicit results-based financing mechanisms within the NHI Fund must also be incorporated for mental health to incentivise quality of care. Private providers engaged by the NHI must commit to make use of evidence-based mental health interventions.