Health expenditure and catastrophic spending among older adults living with HIV

Introduction: The burden of HIV is increasing among adults aged over 50, who generally experience increased risk of cormorbid illnesses and poorer financial protection. We compared patterns of health utilisation and expenditure among HIV-positive and HIV-negative adults over 50. Methods: Data were drawn from the Study on global AGEing and adult health in South Africa with analysis focusing on individual and household-level data of 147 HIV-positive and 2725 HIV-negative respondents. Results: HIV-positive respondents reported lower utilisation of private health-care facilities (11.8%) than HIV-negative respondents (25.0%) (p?=?.03) and generally had more negative attitudes towards health system responsiveness than HIV-negative counterparts. Less than 10% of HIV-positive and HIV-negative respondents experienced catastrophic health expenditure (CHE). Women (OR 1.8; p?p?Conclusions: These findings suggest that although HIV-positive and HIV-negative older adults in South Africa are protected to some extent from CHE, inequalities still exist in access to and quality of care available at health-care services – which can inform South Africa’s development of a national health insurance scheme.     

Availability and Suitability of Digital Health Tools in Africa for Pandemic Control: Scoping Review and Cluster Analysis

BackgroundGaining oversight into the rapidly growing number of mobile health tools for surveillance or outbreak management in Africa has become a challenge.ObjectiveThe aim of this study is to map the functional portfolio of mobile health tools used for surveillance or outbreak management of communicable diseases in Africa.MethodsWe conducted a scoping review by combining data from a systematic review of the literature and a telephone survey of experts. We applied the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines by searching for articles published between January 2010 and December 2020. In addition, we used the respondent-driven sampling method and conducted a telephone survey from October 2019 to February 2020 among representatives from national public health institutes from all African countries. We combined the findings and used a hierarchical clustering method to group the tools based on their functionalities (attributes).ResultsWe identified 30 tools from 1914 publications and 45 responses from 52% (28/54) of African countries. Approximately 13% of the tools (4/30; Surveillance Outbreak Response Management and Analysis System, Go.Data, CommCare, and District Health Information Software 2) covered 93% (14/15) of the identified attributes. Of the 30 tools, 17 (59%) tools managed health event data, 20 (67%) managed case-based data, and 28 (97%) offered a dashboard. Clustering identified 2 exceptional attributes for outbreak management, namely contact follow-up (offered by 8/30, 27%, of the tools) and transmission network visualization (offered by Surveillance Outbreak Response Management and Analysis System and Go.Data).ConclusionsThere is a large range of tools in use; however, most of them do not offer a comprehensive set of attributes, resulting in the need for public health workers having to use multiple tools in parallel. Only 13% (4/30) of the tools cover most of the attributes, including those most relevant for response to the COVID-19 pandemic, such as laboratory interface, contact follow-up, and transmission network visualization.     

Barriers and facilitators of antiretroviral therapy adherence in rural Eastern province,Zambia: the role of household economic status

In Zambia, more people living with HIV now have access to lifesaving antiretroviral therapy than ever before. However, progress in HIV treatment and care has not always resulted in lower mortality. Adherence remains a critical barrier to treatment success. The objective of this study was to examine the barriers and facilitators of antiretroviral therapy adherence, particularly the role of household economic status. The study included a cross-sectional sample of 101 people living with HIV (PLHIV) in two rural communities in eastern Zambia. Adherence was measured using patient self-assessment and pharmacy information. Household economic status included components such as occupation, income, assets, food security, and debt. Multivariable logistic regression was conducted to examine the associations between household economic factors and adherence. Our findings suggest that the role of economic status on adherence appears to be a function of the economic component. Debt and non-farming-related occupation were consistently associated with non-adherence. The association between assets and adherence depends on the type of asset. Owning more transportation-related assets was consistently associated with non-adherence, whereas owning more livestock was associated with self-reported adherence. Additionally, living in a community with fewer economic opportunities was associated with non-adherence. The associations between place of residence and pharmacy refill adherence and between transportation assets and self-reported adherence were statistically significant. Improving adherence requires a multifaceted strategy that addresses the role of economic status as a potential barrier and facilitator. Programmes that provide economic opportunities and life-skills training may help PLHIV to overcome economic, social, and psychological barriers.     

Screening for Antepartum Depression Through Community Health Outreach in Swaziland

Maternal depression, including antepartum and postpartum depression, is a neglected public health issue with potentially far-reaching effects on maternal and child health. We aimed to measure the burden of antepartum depression and identify risk factors among women in a peri-urban community in Swaziland. We conducted a cross-sectional study within the context of a community outreach peer support project involving “Mentor Mothers”. We used of the Edinburgh Postnatal Depression Scale (EPDS) to screen women for depression during the third trimester of pregnancy, using a cut-off score of ≥13 to indicate depression. We also collected demographic and socioeconomic factors, and assessed the association of these factors with EPDS score using logistic regression models. A total of 1038 pregnant women were screened over a period of 9 months. Almost a quarter (22.7 %) had EPDS scores ≥13 and 41.2 % were HIV positive. A fifth, 17.5 % were teenagers and 73.7 % were unemployed. Depression was not associated with HIV status, age or employment status. However, women with multiple socioeconomic stressors were found to be more likely to score highly on the EPDS. Depression was common among pregnant women in the peri-urban areas of Swaziland. Screening for depression using the EPDS is feasible and can be included in the community health worker standard tool box as a way to improve early detection of depression and to highlight the importance of maternal mental health as a core public health concern.     

Physical and psychiatric comorbidities among patients with severe mental illness as seen in Uganda

While psychiatric and physical comorbidities in severe mental illness (SMI) have been associated with increased mortality and poor clinical outcomes, problem has received little attention in low- and middle-income countries (LMICs). This study established the prevalence of psychiatric (schizophrenia, bipolar affective disorder, and recurrent major depressive disorder) and physical (HIV/AIDS, syphilis, hypertension and obesity) comorbidities and associated factors among 1201 out-patients with SMI (schizophrenia, depression and bipolar affective disorder) attending care at two hospitals in Uganda. Participants completed an assessment battery including structured, standardised and locally translated instruments. SMIs were established using the MINI International Neuropsychiatric Interview version 7.2. We used logistic regression to determine the association between physical and psychiatric comorbidities and potential risk factors. Bipolar affective disorder was the most prevalent (66.4%) psychiatric diagnoses followed by schizophrenia (26.6%) and recurrent major depressive disorder (7.0%). Prevalence of psychiatric comorbidity was 9.1%, while physical disorder comorbidity was 42.6%. Specific comorbid physical disorders were hypertension (27.1%), obesity (13.8%), HIV/AIDS (8.2%) and syphilis (4.8%). Potentially modifiable factors independently significantly associated with psychiatric and physical comorbidities were: use of alcohol for both syphilis and hypertension comorbidities; and use of a mood stabilisers and khat in comorbidity with obesity. Only psychiatric comorbidity was positively associated with the negative outcomes of suicidality and risky sexual behaviour. The healthcare models for psychiatric care in LMICs such as Uganda should be optimised to address the high burden of psychiatric and physical comorbidities.