Cash transfer interventions are forms of social protection based on the provision of cash to vulnerable households with the aim of reduce risk, vulnerability, chronic poverty and improve human capital. Such interventions are already an integral part of the response to HIV/AIDS in some settings and have recently been identified as a core element of World Health Organization’s End TB Strategy. However, limited impact evaluations and operational evidence are currently available to inform this policy transition. This paper aims to assist national tuberculosis (TB) programs with this new policy direction by providing them with an overview of concepts and definitions used in the social protection sector and by reviewing some of the most critical operational aspects associated with the implementation of cash transfer interventions. These include: 1) the various implementation models that can be used depending on the context and the public health goal of the intervention; 2) the main challenges associated with the use of conditionalities and how they influence the impact of cash transfer interventions on health-related outcomes; 3) the implication of targeting diseases-affected households and or individuals versus the general population; and 4) the financial sustainability of including health-related objectives within existing cash transfer programmes. We aimed to appraise these issues in the light of TB epidemiology, care and prevention. For our appraisal we draw extensively from the literature on cash transfers and build upon the lessons learnt so far from other health outcomes and mainly HIV/AIDS. The implementation of cash transfer interventions in the context of TB is still hampered by important knowledge gaps. Initial directions can be certainly derived from the literature on cash transfers schemes and other public health challenges such as HIV/AIDS. However, the development of a solid research agenda to address persisting unknowns on the impact of cash transfers on TB epidemiology and control is vital to inform and support the adoption of the post-2015 End TB strategy.

Objectives: Tuberculosis (TB) is known as a disease of the poor. Despite TB diagnosis and care usually being offered for free, TB patients can still face substantial costs, especially in the context of multi‐drug resistance (MDR). The End TB Strategy calls for zero TB‐affected families incurring ‘catastrophic’ costs due to TB by 2025. This paper examines, by MDR status, the level and composition of costs incurred by TB‐affected households during care seeking and treatment; assesses the affordability of TB care using catastrophic and impoverishment measures; and describes coping strategies used by TB‐affected households to pay for TB care.Methods: A nationally representative survey of TB patients at public health facilities across Ghana.Results: We enrolled 691 patients (66 MDR). The median expenditure for non‐MDR TB was US$429.6 during treatment, vs. US$659.0 for MDR patients (P‐value = 0.001). Catastrophic costs affected 64.1% of patients. MDR patients were pushed significantly further over the threshold for catastrophic payments than DS patients. Payments for TB care led to a significant increase in the proportion of households in the study sample that live below the poverty line at the time of survey compared to pre‐TB diagnosis. Over half of patients undertook coping strategies.Conclusion: TB patients in Ghana incur substantial costs, despite free diagnosis and treatment. High rates of catastrophic costs and coping strategies in both non‐MDR and MDR patients show that new policies are urgently needed to ensure TB care is actually affordable for TB patients.

Tuberculosis (TB) is the leading cause of death from infectious disease worldwide, predominantly affecting low- and middle-income countries (LMICs), where resources are limited. As such, countries need to be able to choose the most efficient interventions for their respective setting. Mathematical models can be valuable tools to inform rational policy decisions and improve resource allocation, but are often unavailable or inaccessible for LMICs, particularly in TB. We developed TIME Impact, a user-friendly TB model that enables local capacity building and strengthens country-specific policy discussions to inform support funding applications at the (sub-)national level (e.g. Ministry of Finance) or to international donors (e.g. the Global Fund to Fight AIDS, Tuberculosis and Malaria). TIME Impact is an epidemiological transmission model nested in TIME, a set of TB modelling tools available for free download within the widely-used Spectrum software. The TIME Impact model reflects key aspects of the natural history of TB, with additional structure for HIV/ART, drug resistance, treatment history and age. TIME Impact enables national TB programmes (NTPs) and other TB policymakers to better understand their own TB epidemic, plan their response, apply for funding and evaluate the implementation of the response. The explicit aim of TIME Impact’s user-friendly interface is to enable training of local and international TB experts towards independent use. During application of TIME Impact, close involvement of the NTPs and other local partners also builds critical understanding of the modelling methods, assumptions and limitations inherent to modelling. This is essential to generate broad country-level ownership of the modelling data inputs and results. In turn, it stimulates discussions and a review of the current evidence and assumptions, strengthening the decision-making process in general. TIME Impact has been effectively applied in a variety of settings. In South Africa, it informed the first South African HIV and TB Investment Cases and successfully leveraged additional resources from the National Treasury at a time of austerity. In Ghana, a long-term TIME model-centred interaction with the NTP provided new insights into the local epidemiology and guided resource allocation decisions to improve impact.

Even when tuberculosis (TB) care is free, impoverished patients and their households continue to incur unmanageable costs due to seeking and staying in care for the full duration of anti-TB treatment [1]. By aggravating household vulnerability, these costs can prevent or delay diagnosis, treatment and successful outcome, leading to increased TB transmission, morbidity and mortality [2–4]. The new World Health Organization (WHO)'s End TB Strategy places greater emphasis on ensuring universal free access to care, and it includes a target of elimination of associated catastrophic costs for TB patients and their households by 2020 [5]. In many low- and middle-income countries chest radiographs are not free of charge for TB patients We would like to thank all the country experts that contributed information to this study. In addition, we would like to thank Andrew Codlin (Stop TB Partnership, Geneva, Switzerland) and Andrew Siroka (WHO/Global TB Programme, Geneva, Switzerland) for their help with providing contacts in countries.

In Uganda, as in many parts of Africa, the majority of the population seek treatment for malaria in drug shops as their first point of care; however, parasitological diagnosis is not usually offered in these outlets. Rapid diagnostic tests (RDTs) for malaria have attracted interest in recent years as a tool to improve malaria diagnosis, since they have proved accurate and easy to perform with minimal training. Although RDTs could feasibly be performed by drug shop vendors, it is not known how much customers would be willing to pay for an RDT if offered in these settings. We conducted a contingent valuation survey among drug shop customers in Mukono District, Uganda. Exit interviews were undertaken with customers aged 15 years and above after leaving a drug shop having purchased an antimalarial and/or paracetamol. The bidding game technique was used to elicit the willingness-to-pay (WTP) for an RDT and a course of artemisinin-based combination therapy (ACT) with and without RDT confirmation. Factors associated with WTP were investigated using linear regression. The geometric mean WTP for an RDT was US$0.53, US$1.82 for a course of ACT and US$2.05 for a course of ACT after a positive RDT. Factors strongly associated with a higher WTP for these commodities included having a higher socio-economic status, no fever/malaria in the household in the past 2 weeks and if a malaria diagnosis had been obtained from a qualified health worker prior to visiting the drug shop. The findings further suggest that the WTP for an RDT and a course of ACT among drug shop customers is considerably lower than prevailing and estimated end-user prices for these commodities. Increasing the uptake of ACTs in drug shops and restricting the sale of ACTs to parasitologically confirmed malaria will therefore require additional measures.

INTRODUCTION: Despite the close link between tuberculosis (TB) and poverty, most mathematical models of TB have not addressed underlying social and structural determinants. OBJECTIVE: To review studies employing mathematical modelling to evaluate the epidemiological impact of the structural determinants of TB. METHODS: We systematically searched PubMed and personal libraries to identify eligible articles. We extracted data on the modelling techniques employed, research question, types of structural determinants modelled and setting. RESULTS: From 232 records identified, we included eight articles published between 2008 and 2015; six employed population-based dynamic TB transmission models and two non-dynamic analytic models. Seven studies focused on proximal TB determinants (four on nutritional status, one on wealth, one on indoor air pollution, and one examined overcrowding, socio-economic and nutritional status), and one focused on macro-economic influences. CONCLUSIONS: Few modelling studies have attempted to evaluate structural determinants of TB, resulting in key knowledge gaps. Despite the challenges of modelling such a complex system, models must broaden their scope to remain useful for policy making. Given the intersectoral nature of the interrelations between structural determinants and TB outcomes, this work will require multidisciplinary collaborations. A useful starting point would be to focus on developing relatively simple models that can strengthen our knowledge regarding the potential effect of the structural determinants on TB outcomes.