Tuberculosis (TB) is a leading cause of death due to infectious disease worldwide. People with TB and their households often suffer social and economic losses due to the cost of tuberculosis care. ...The World Health Organization 2015 End TB strategy called for socioeconomic support through social protection interventions. Social protection has the potential to enable people with TB and their households to break the cycle of TB and poverty, thereby improving both treatment and socioeconomic outcomes. This study aims to evaluate whether people with TB who are recipients of social protection interventions have better treatment and socioeconomic outcomes than those who are not recipients of social protection interventions.
We will systematically review literature published in English between 2012 and 2021 from PubMed, Embase, and Web of Science, and grey literature from Google Scholar and selected, relevant databases. We will include studies that describe a social protection intervention (as defined by the World Bank) and report on TB treatment outcomes and/or socioeconomic outcomes. We will only include studies pertaining to populations in low-and-middle-income countries and/or countries with high TB burden. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Study quality will be assessed using the Cochrane Risk of Bias for randomized controlled trials and the Newcastle Ottawa Scale for non-randomised controlled studies. If sufficient quantitative data are available, we will perform a meta-analysis of aggregated outcomes. Lastly, we will use the Grading Recommendations Assessment, Development, and Evaluation to describe the overall quality of evidence.
Ethical approval is not required for this systematic review, as all data extraction and analysis will be conducted on published documents. We will disseminate this protocol through conference presentations. The systematic review has been registered prospectively in the PROSPERO database (registration number CRD42022382181).
Achieving the targets of eliminating tuberculosis (TB) requires a combination of biomedical, epidemiological, and social approaches. Having hitted by the coronavirus disease 2019 (COVID-19) pandemic ...which diminishes the financial capacity of TB-affected households, the importance of delivering socioeconomic support to TB-affected household emerges. However, the evidence of TB-related socioeconomic support is still scarce, and some questions are left unanswered. A sequential explanatory mixed-methods study by Dave and Rupani shows that the direct benefit transfer (DBT), a form of cash transfer, to TB-affected households improves TB treatment outcomes in India despite the challenges. Some critical issues remain to be discussed: trading-off between the amount of cash and its sustainability, choosing the most appropriate support packages, detecting, and reaching the target population, and arranging the most effective delivery strategy. Knowledge gap remains to be answered, and a global research agenda and political commitment are critical to encourage more evidence in delivering socioeconomic support for TB control.
Tuberculosis (TB), the leading single infectious diseases killer globally, is driven by poverty. Conversely, having TB worsens impoverishment. During TB illness, lost income and out-of-pocket costs ...can become “catastrophic”, leading patients to abandon treatment, develop drug-resistance, and die. WHO’s 2015 End TB Strategy recommends eliminating catastrophic costs and providing socioeconomic support for TB-affected people. However, there is negligible evidence to guide the design and implementation of such socioeconomic support, especially in low-income, TB-endemic countries. A national, multi-sectoral workshop was held in Kathmandu, Nepal, on the 11th and 12th September 2019, to develop a shortlist of feasible, locally appropriate socioeconomic support interventions for TB-affected households in Nepal, a low-income country with significant TB burden. The workshop brought together key stakeholders in Nepal including from the Ministry of Health and Population, Department of Health Services, Provincial Health Directorate, Health Offices, National TB Program (NTP); and TB/Leprosy Officers, healthcare workers, community health volunteers, TB-affected people, and external development partners (EDP). During the workshop, participants reviewed current Nepal NTP data and strategy, discussed the preliminary results of a mixed-methods study of the socioeconomic determinants and consequences of TB in Nepal, described existing and potential socioeconomic interventions for TB-affected households in Nepal, and selected the most promising interventions for future randomized controlled trial evaluations in Nepal. This report describes the activities, outcomes, and recommendations from the workshop.
The World Health Organization's End TB (tuberculosis) Strategy advocates social and economic support for TB-affected households but evidence from low-income settings is scarce. We will evaluate the ...feasibility and acceptability of a locally-appropriate socioeconomic support intervention for TB-affected households in Nepal.
We will conduct a pilot randomised-controlled trial with mixed-methods process evaluation in four TB-endemic, impoverished districts of Nepal: Pyuthan, Chitwan, Mahottari, and Morang. We will recruit 128 people with TB notified to the Nepal National TB Program (NTP) and 40 multisectoral stakeholders including NTP staff, civil-society members, policy-makers, and ASCOT (Addressing the Social Determinants and Consequences of Tuberculosis) team members. People with TB will be randomised 1:1:1:1 to four study arms (n=32 each): control; social support; economic support; and combined social and economic (socioeconomic) support. Social support will be TB education and peer-led mutual-support TB Clubs providing TB education and stigma-reduction counselling. Economic support will be monthly unconditional cash transfers during TB treatment with expectations (not conditions) of meeting NTP goals. At 0, 2, and 6 months following TB treatment initiation, participants will be asked to complete a survey detailing the social determinants and consequences of TB and their feedback on ASCOT. Complementary process evaluation will use focus group discussions (FGD), key informant interviews (KII), and a workshop with multi-sectoral stakeholders to consider the challenges to ASCOT's implementation and scale-up. A sample of ~100 people with TB is recommended to estimate TB-related costs. Information power is estimated to be reached with approximately 25 FGD and 15 KII participants.
The ASCOT pilot trial will both generate robust evidence on a locally-appropriate, socioeconomic support intervention for TB-affected households in Nepal and inform a large-scale future ASCOT trial, which will evaluate the intervention's impact on catastrophic costs mitigation and TB outcomes. The trial is registered with the ISRCTN ( ISRCTN17025974).
BACKGROUND:
The World Health Organization’s End TB (tuberculosis) Strategy advocates social and economic support for TB-affected households but evidence from low-income settings is scarce. We will ...evaluate the feasibility and acceptability of a locally-appropriate socioeconomic support intervention for TB-affected households in Nepal.
METHODS:
We will conduct a pilot randomised-controlled trial with mixed-methods process evaluation in four TB-endemic, impoverished districts of Nepal: Pyuthan, Chitwan, Mahottari, and Morang. We will recruit 128 people with TB notified to the Nepal National TB Program (NTP) and 40 multisectoral stakeholders including NTP staff, civil-society members, policy-makers, and ASCOT (Addressing the Social Determinants and Consequences of Tuberculosis) team members. People with TB will be randomised 1:1:1:1 to four study arms (n=32 each): control; social support; economic support; and combined social and economic (socioeconomic) support. Social support will be TB education and peer-led mutual-support TB Clubs providing TB education and stigma-reduction counselling. Economic support will be monthly unconditional cash transfers during TB treatment with expectations (not conditions) of meeting NTP goals. At 0, 2, and 6 months following TB treatment initiation, participants will be asked to complete a survey detailing the social determinants and consequences of TB and their feedback on ASCOT. Complementary process evaluation will use focus group discussions (FGD), key informant interviews (KII), and a workshop with multi-sectoral stakeholders to consider the challenges to ASCOT’s implementation and scale-up. A sample of ~100 people with TB is recommended to estimate TB-related costs. Information power is estimated to be reached with approximately 25 FGD and 15 KII participants.
CONCLUSIONS:
The ASCOT pilot trial will both generate robust evidence on a locally-appropriate, socioeconomic support intervention for TB-affected households in Nepal and inform a large-scale future ASCOT trial, which will evaluate the intervention’s impact on catastrophic costs mitigation and TB outcomes.
The trial is registered with the ISRCTN (
ISRCTN17025974
).
The aim of this study was to investigate the causal relations between COVID-19 economic supports and Bitcoin markets. For this purpose, we first determined the degree of the integration of variables ...by implementing Fourier Augmented Dickey–Fuller unit root tests. Then, we carried out both linear (Bootstrap Toda–Yamamoto) and non-linear (Fractional Frequency Flexible Fourier form Toda–Yamamoto) causality tests to consider the nonlinearities in variables, to determine if the effects of multiple structural breaks were temporary or permanent, and to evaluate the unidirectional causality running from COVID-19-related economic supports and the price, volatility, and trading volume of Bitcoin. Our study included 158 countries, and we used daily data over the period from 1 January 2020 and 10 March 2022. The findings of this study provide evidence of unidirectional causalities running from COVID-19-related economic supports to the price, volatility, and trading volume of Bitcoin in most of the countries in the sample. The application of non-linear causality tests helped us obtain more evidence about these causalities. Some of these causalities were found to be permanent, and some of them were found to be temporary. The results of the study indicate that COVID-19-related economic supports can be considered a major driver of the surge in the Bitcoin market during the pandemic.
WHO's 2015 End TB Strategy advocates social and economic (socioeconomic) support for TB-affected households to improve TB control. However, evidence concerning socioeconomic support for TB-affected ...households remains limited, especially in low-income countries.
This mixed-methods study in Nepal will: evaluate the socioeconomic impact of accessing TB diagnosis and care (Project 1); and create a shortlist of feasible, locally-appropriate interventions to mitigate this impact (Project 2). The study will be conducted in the Chitwan, Mahottari, Makawanpur, and Dhanusha districts of Nepal, which have frequent TB and poverty. The study population will include: approximately 200 people with TB (Cases) starting TB treatment with Nepal's National TB Program and 100 randomly-selected people without TB (Controls) in the same sites (Project 1); and approximately 40 key in-country stakeholders from Nepal including people with TB, community leaders, and TB healthcare professionals (Project 2). During Project 1, visits will be made to people with TB's households during months 3 and 6 of TB treatment, and a single visit made to Control households. During visits, participants will be asked about: TB-related costs (if receiving treatment), food insecurity, stigma; TB-related knowledge; household poverty level; social capital; and quality of life. During Project 2, stakeholders will be invited to participate in: a survey and focus group discussion (FGD) to characterise socioeconomic impact, barriers and facilitators to accessing and engaging with TB care in Nepal; and a one-day workshop to review FGD findings and suggest interventions to mitigate the barriers identified.
The study has received ethical approval. Results will be disseminated through scientific meetings, open access publications, and a national workshop in Nepal.
This research will strengthen understanding of the socioeconomic impact of TB in Nepal and generate a shortlist of feasible and locally-appropriate socioeconomic interventions for TB-affected households for trial evaluation.
The paper investigates the role of the marine sector into Indonesian economy. This study found that the output from this sector supports approximately 7.86% to the economy. Marine sector contributes ...about 6.06% to the community income and 4.12% to the workforce. In terms of NTB, this sector is estimated to support approximately 6.64% to the total national economy by 2010. It is suggested that fisheries, marine industry, marine infrastructure and marine services are key sectors that are very potential to be developed.
We evaluated the benefit of socioeconomic support (S-E support), comprising various financial and nonfinancial services that are available based on assessment of need, in reducing mortality and lost ...to follow-up (LTFU) at Reach Out Mbuya, a community-based, antiretroviral therapy program in Uganda.
Retrospective observational cohort data from adult patients enrolled between May 31, 2001, and May 31, 2010, were examined.
Patients were categorized into none, 1, and 2 or more S-E support based on the number of different S-E support services they received. Using Cox proportional hazards regression, we modeled the association between S-E support and mortality or LTFU. Kaplan-Meier curves were fitted to examine retention functions stratified by S-E support.
In total, 6654 patients were evaluated. After 10 years, 2700 (41%) were retained. Of the 3954 not retained, 2933 (74%) were LTFU and 1021 (26%) had died. After 1, 2, 5, and 10 years, the risks of LTFU or mortality in patients who received no S-E support were significantly higher than those who received some S-E support. In adjusted hazards ratios, patients who received no S-E support were 1.5-fold (1.39-1.64) and 6.7-fold (5.56-7.69) more likely to get LTFU compared with those who received 1 or ≥ 2 S-E support, respectively. Likewise, patients who received no S-E support were 1.5-fold (confidence interval: 1.16 to 1.89) and 4.3-fold (confidence interval: 2.94 to 6.25) more likely to die compared with those who received 1 or 2+ S-E support, respectively.
Provision of S-E support reduced LTFU and mortality, suggesting the value of incorporating such strategies for promoting continuity of care.
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